From f0e59348e095754dad090daf813778a915d2306c Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Tue, 7 Apr 2026 01:08:38 +0000
Subject: [PATCH 1/3] Initial plan


From 77d51fbb8f9c4c67cf6f2947942d597bfced5020 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Tue, 7 Apr 2026 01:20:07 +0000
Subject: [PATCH 2/3] Implement social media data collection, Rust analyzer,
 and GitHub Actions workflows

Agent-Logs-Url: https://github.com/CambrianTech/KashCompiler/sessions/05916574-c413-4002-ac11-34db03445aa1

Co-authored-by: joelteply <347104+joelteply@users.noreply.github.com>
---
 .env.example                                  |   31 +
 .github/workflows/ci.yml                      |   89 +
 .github/workflows/collect.yml                 |  139 +
 .gitignore                                    |   11 +
 Cargo.lock                                    | 1887 ++++++
 Cargo.toml                                    |    3 +
 README.md                                     |  181 +-
 crates/analyzer/Cargo.toml                    |   33 +
 crates/analyzer/src/algorithms/mod.rs         |   35 +
 crates/analyzer/src/algorithms/sentiment.rs   |  152 +
 crates/analyzer/src/algorithms/trend.rs       |  133 +
 crates/analyzer/src/llm/grok.rs               |   99 +
 crates/analyzer/src/llm/mod.rs                |   21 +
 crates/analyzer/src/llm/openai.rs             |  106 +
 crates/analyzer/src/main.rs                   |  264 +
 crates/analyzer/src/models/mod.rs             |   95 +
 package-lock.json                             | 5526 +++++++++++++++++
 package.json                                  |   20 +
 packages/collector/package.json               |   38 +
 packages/collector/prisma/schema.prisma       |   90 +
 .../collector/src/__tests__/adapters.test.ts  |   83 +
 .../collector/src/__tests__/schema.test.ts    |   66 +
 packages/collector/src/adapters/base.ts       |   56 +
 packages/collector/src/adapters/grok.ts       |  120 +
 packages/collector/src/adapters/index.ts      |   54 +
 packages/collector/src/adapters/reddit.ts     |  115 +
 packages/collector/src/adapters/twitter.ts    |  132 +
 packages/collector/src/index.ts               |    3 +
 packages/collector/src/orm/index.ts           |  108 +
 packages/collector/src/runners/collect.ts     |   76 +
 packages/collector/src/schema/analysis.ts     |   51 +
 packages/collector/src/schema/index.ts        |    2 +
 packages/collector/src/schema/post.ts         |   58 +
 packages/collector/tsconfig.json              |    9 +
 tsconfig.base.json                            |   18 +
 35 files changed, 9903 insertions(+), 1 deletion(-)
 create mode 100644 .env.example
 create mode 100644 .github/workflows/ci.yml
 create mode 100644 .github/workflows/collect.yml
 create mode 100644 Cargo.lock
 create mode 100644 Cargo.toml
 create mode 100644 crates/analyzer/Cargo.toml
 create mode 100644 crates/analyzer/src/algorithms/mod.rs
 create mode 100644 crates/analyzer/src/algorithms/sentiment.rs
 create mode 100644 crates/analyzer/src/algorithms/trend.rs
 create mode 100644 crates/analyzer/src/llm/grok.rs
 create mode 100644 crates/analyzer/src/llm/mod.rs
 create mode 100644 crates/analyzer/src/llm/openai.rs
 create mode 100644 crates/analyzer/src/main.rs
 create mode 100644 crates/analyzer/src/models/mod.rs
 create mode 100644 package-lock.json
 create mode 100644 package.json
 create mode 100644 packages/collector/package.json
 create mode 100644 packages/collector/prisma/schema.prisma
 create mode 100644 packages/collector/src/__tests__/adapters.test.ts
 create mode 100644 packages/collector/src/__tests__/schema.test.ts
 create mode 100644 packages/collector/src/adapters/base.ts
 create mode 100644 packages/collector/src/adapters/grok.ts
 create mode 100644 packages/collector/src/adapters/index.ts
 create mode 100644 packages/collector/src/adapters/reddit.ts
 create mode 100644 packages/collector/src/adapters/twitter.ts
 create mode 100644 packages/collector/src/index.ts
 create mode 100644 packages/collector/src/orm/index.ts
 create mode 100644 packages/collector/src/runners/collect.ts
 create mode 100644 packages/collector/src/schema/analysis.ts
 create mode 100644 packages/collector/src/schema/index.ts
 create mode 100644 packages/collector/src/schema/post.ts
 create mode 100644 packages/collector/tsconfig.json
 create mode 100644 tsconfig.base.json

diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000..376af20
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,31 @@
+# Copy this file to packages/collector/.env and fill in your values.
+
+# ─── Database ─────────────────────────────────────────────────────────────────
+# SQLite (development/CI)
+DATABASE_URL="file:./data/collector.db"
+# PostgreSQL (production)
+# DATABASE_URL="postgresql://user:password@localhost:5432/kashcompiler"
+
+# ─── Social Media API Keys ────────────────────────────────────────────────────
+# xAI Grok API key (https://console.x.ai)
+GROK_API_KEY=
+
+# Twitter/X v2 Bearer Token (https://developer.twitter.com)
+TWITTER_BEARER_TOKEN=
+
+# Reddit OAuth bearer token (optional – falls back to public API)
+REDDIT_API_KEY=
+
+# ─── LLM Providers ───────────────────────────────────────────────────────────
+# OpenAI API key (optional, used by Rust analyzer)
+OPENAI_API_KEY=
+
+# ─── Collection Settings ─────────────────────────────────────────────────────
+# Comma-separated adapter names to run (leave blank for all)
+# COLLECT_SOURCES=grok,twitter,reddit
+
+# Comma-separated topics / subreddits to collect
+COLLECT_TOPICS=technology,artificial,finance,crypto
+
+# Maximum posts per adapter per run
+MAX_POSTS_PER_RUN=100
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..822c37d
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,89 @@
+name: CI
+
+on:
+  push:
+    branches: ["main", "copilot/**"]
+  pull_request:
+    branches: ["main"]
+
+env:
+  DATABASE_URL: "file:./data/test.db"
+  NODE_VERSION: "20"
+
+jobs:
+  # ─── TypeScript / Collector ─────────────────────────────────────────────────
+  collector-lint-test:
+    name: Collector – Lint & Test
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Node.js ${{ env.NODE_VERSION }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+          cache: "npm"
+
+      - name: Install root dependencies
+        run: npm install
+
+      - name: Install collector dependencies
+        run: npm install
+        working-directory: packages/collector
+
+      - name: Generate Prisma client
+        run: npx prisma generate
+        working-directory: packages/collector
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+
+      - name: Push Prisma schema (SQLite, no migrations needed in CI)
+        run: npx prisma db push --skip-generate
+        working-directory: packages/collector
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+
+      - name: Build TypeScript
+        run: npm run build
+        working-directory: packages/collector
+
+      - name: Run tests
+        run: npm test
+        working-directory: packages/collector
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+
+  # ─── Rust / Analyzer ────────────────────────────────────────────────────────
+  analyzer-build-test:
+    name: Analyzer – Build & Test
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Rust
+        uses: dtolnay/rust-toolchain@stable
+        with:
+          components: clippy, rustfmt
+
+      - name: Cache Rust build
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cargo/registry
+            ~/.cargo/git
+            target
+          key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
+
+      - name: Check formatting
+        run: cargo fmt --all -- --check
+
+      - name: Clippy
+        run: cargo clippy --all-targets --all-features -- -D warnings
+
+      - name: Build
+        run: cargo build --all
+
+      - name: Test
+        run: cargo test --all
diff --git a/.github/workflows/collect.yml b/.github/workflows/collect.yml
new file mode 100644
index 0000000..3ad9de5
--- /dev/null
+++ b/.github/workflows/collect.yml
@@ -0,0 +1,139 @@
+name: Collect Social Media Data
+
+on:
+  # Run every 6 hours
+  schedule:
+    - cron: "0 */6 * * *"
+  # Allow manual trigger with custom parameters
+  workflow_dispatch:
+    inputs:
+      sources:
+        description: "Comma-separated adapter names to run (leave blank for all)"
+        required: false
+        default: ""
+      topics:
+        description: "Comma-separated topics / subreddits to collect"
+        required: false
+        default: "technology,artificial,finance,crypto"
+      max_posts:
+        description: "Maximum posts per adapter"
+        required: false
+        default: "100"
+
+env:
+  DATABASE_URL: "file:./data/collector.db"
+  NODE_VERSION: "20"
+
+jobs:
+  collect:
+    name: Collect & Persist Posts
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write   # needed to commit the SQLite DB artifact back if desired
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js ${{ env.NODE_VERSION }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+          cache: "npm"
+
+      - name: Install dependencies
+        run: npm ci
+        working-directory: packages/collector
+
+      - name: Generate Prisma client
+        run: npx prisma generate
+        working-directory: packages/collector
+
+      - name: Run database migrations
+        run: npx prisma migrate deploy
+        working-directory: packages/collector
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+
+      - name: Build TypeScript
+        run: npm run build
+        working-directory: packages/collector
+
+      - name: Run data collection
+        run: node dist/runners/collect.js
+        working-directory: packages/collector
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+          GROK_API_KEY: ${{ secrets.GROK_API_KEY }}
+          TWITTER_BEARER_TOKEN: ${{ secrets.TWITTER_BEARER_TOKEN }}
+          REDDIT_API_KEY: ${{ secrets.REDDIT_API_KEY }}
+          COLLECT_SOURCES: ${{ github.event.inputs.sources }}
+          COLLECT_TOPICS: ${{ github.event.inputs.topics || 'technology,artificial,finance,crypto' }}
+          MAX_POSTS_PER_RUN: ${{ github.event.inputs.max_posts || '100' }}
+
+      - name: Upload collected data as artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: collected-data-${{ github.run_id }}
+          path: packages/collector/data/
+          retention-days: 30
+
+  analyze:
+    name: Analyze Collected Data
+    needs: collect
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Download collected data
+        uses: actions/download-artifact@v4
+        with:
+          name: collected-data-${{ github.run_id }}
+          path: packages/collector/data/
+
+      - name: Set up Rust
+        uses: dtolnay/rust-toolchain@stable
+
+      - name: Cache Rust build
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cargo/registry
+            ~/.cargo/git
+            crates/analyzer/target
+          key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
+
+      - name: Build Rust analyzer
+        run: cargo build --release -p analyzer
+
+      - name: Export posts to JSON for analysis
+        run: |
+          cd packages/collector
+          node -e "
+            const { PrismaClient } = require('@prisma/client');
+            const db = new PrismaClient();
+            db.socialPost.findMany({ include: { author: true } })
+              .then(posts => { console.log(JSON.stringify(posts)); db.\$disconnect(); })
+              .catch(e => { console.error(e); process.exit(1); });
+          " > /tmp/posts.json
+        env:
+          DATABASE_URL: ${{ env.DATABASE_URL }}
+
+      - name: Run analysis
+        run: |
+          ./target/release/analyzer \
+            --input /tmp/posts.json \
+            --output /tmp/analysis-result.json \
+            --llm ${{ secrets.GROK_API_KEY && 'grok' || 'none' }}
+        env:
+          GROK_API_KEY: ${{ secrets.GROK_API_KEY }}
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+
+      - name: Upload analysis results
+        uses: actions/upload-artifact@v4
+        with:
+          name: analysis-result-${{ github.run_id }}
+          path: /tmp/analysis-result.json
+          retention-days: 30
diff --git a/.gitignore b/.gitignore
index 9a5aced..f12b9a0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -137,3 +137,14 @@ dist
 # Vite logs files
 vite.config.js.timestamp-*
 vite.config.ts.timestamp-*
+
+# SQLite database files
+*.db
+packages/collector/data/
+
+# Rust build artifacts
+target/
+
+# Prisma generated files
+node_modules/.prisma/
+
diff --git a/Cargo.lock b/Cargo.lock
new file mode 100644
index 0000000..39211ca
--- /dev/null
+++ b/Cargo.lock
@@ -0,0 +1,1887 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
+version = 4
+
+[[package]]
+name = "analyzer"
+version = "0.1.0"
+dependencies = [
+ "anyhow",
+ "async-trait",
+ "chrono",
+ "clap",
+ "dotenvy",
+ "reqwest",
+ "serde",
+ "serde_json",
+ "tokio",
+ "tokio-test",
+ "uuid",
+]
+
+[[package]]
+name = "android_system_properties"
+version = "0.1.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "819e7219dbd41043ac279b19830f2efc897156490d7fd6ea916720117ee66311"
+dependencies = [
+ "libc",
+]
+
+[[package]]
+name = "anstream"
+version = "1.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "824a212faf96e9acacdbd09febd34438f8f711fb84e09a8916013cd7815ca28d"
+dependencies = [
+ "anstyle",
+ "anstyle-parse",
+ "anstyle-query",
+ "anstyle-wincon",
+ "colorchoice",
+ "is_terminal_polyfill",
+ "utf8parse",
+]
+
+[[package]]
+name = "anstyle"
+version = "1.0.14"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "940b3a0ca603d1eade50a4846a2afffd5ef57a9feac2c0e2ec2e14f9ead76000"
+
+[[package]]
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+checksum = "52ce7f38b242319f7cabaa6813055467063ecdc9d355bbb4ce0c68908cd8130e"
+dependencies = [
+ "utf8parse",
+]
+
+[[package]]
+name = "anstyle-query"
+version = "1.1.5"
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+checksum = "40c48f72fd53cd289104fc64099abca73db4166ad86ea0b4341abe65af83dadc"
+dependencies = [
+ "windows-sys 0.61.2",
+]
+
+[[package]]
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+version = "3.0.11"
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+checksum = "291e6a250ff86cd4a820112fb8898808a366d8f9f58ce16d1f538353ad55747d"
+dependencies = [
+ "anstyle",
+ "once_cell_polyfill",
+ "windows-sys 0.61.2",
+]
+
+[[package]]
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+version = "1.0.102"
+source = "registry+https://github.com/rust-lang/crates.io-index"
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+
+[[package]]
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+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
+]
+
+[[package]]
+name = "autocfg"
+version = "1.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c08606f8c3cbf4ce6ec8e28fb0014a2c086708fe954eaa885384a6165172e7e8"
+
+[[package]]
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+
+[[package]]
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+
+[[package]]
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+ "shlex",
+]
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+[[package]]
+name = "cfg-if"
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diff --git a/Cargo.toml b/Cargo.toml
new file mode 100644
index 0000000..3971243
--- /dev/null
+++ b/Cargo.toml
@@ -0,0 +1,3 @@
+[workspace]
+members = ["crates/analyzer"]
+resolver = "2"
diff --git a/README.md b/README.md
index 1c2b0e6..db4bb7b 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,181 @@
 # KashCompiler
-Stonx and Datum
+
+Social media data gathering → LLM-powered analysis → algorithmic decision making.
+
+---
+
+## Architecture
+
+```
+┌─────────────────────────────────────────────────────────────────┐
+│  GitHub Actions  (scheduled every 6 hours or manually triggered) │
+│                                                                   │
+│  packages/collector  (TypeScript)                                 │
+│  ┌──────────────────────────────────────────────────────────┐    │
+│  │  Adapter Registry                                        │    │
+│  │   ├── GrokAdapter    (xAI Grok API)                      │    │
+│  │   ├── TwitterAdapter (Twitter/X v2 API)                  │    │
+│  │   └── RedditAdapter  (Reddit public API)                 │    │
+│  │                                                          │    │
+│  │  TypeScript Schemas  →  Prisma ORM  →  SQLite / Postgres │    │
+│  └──────────────────────────────────────────────────────────┘    │
+│                                                                   │
+│  crates/analyzer  (Rust)                                          │
+│  ┌──────────────────────────────────────────────────────────┐    │
+│  │  Algorithm Pipeline (pluggable trait)                    │    │
+│  │   ├── SentimentAlgorithm  (heuristic + LLM)             │    │
+│  │   └── TrendAlgorithm      (tag aggregation + LLM)        │    │
+│  │                                                          │    │
+│  │  LLM Providers (pluggable trait)                         │    │
+│  │   ├── GrokProvider   (xAI)                               │    │
+│  │   └── OpenAiProvider (OpenAI / compatible)               │    │
+│  └──────────────────────────────────────────────────────────┘    │
+└─────────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## Repository layout
+
+```
+KashCompiler/
+├── packages/
+│   └── collector/          # TypeScript data collection
+│       ├── src/
+│       │   ├── schema/     # TypeScript-first data schemas
+│       │   ├── adapters/   # Social media adapter framework
+│       │   ├── orm/        # Prisma client helpers
+│       │   └── runners/    # CLI entry points
+│       └── prisma/
+│           └── schema.prisma
+├── crates/
+│   └── analyzer/           # Rust analysis backend
+│       └── src/
+│           ├── algorithms/ # Pluggable algorithm trait + implementations
+│           ├── llm/        # Pluggable LLM provider trait + implementations
+│           └── models/     # Rust data models mirroring TS schemas
+└── .github/
+    └── workflows/
+        ├── ci.yml          # Lint, build, test on every push / PR
+        └── collect.yml     # Scheduled collection + analysis
+```
+
+---
+
+## Quick start
+
+### Prerequisites
+
+- Node.js ≥ 18
+- Rust (stable) via [rustup](https://rustup.rs)
+
+### 1 – Install dependencies
+
+```bash
+npm install
+```
+
+### 2 – Configure environment
+
+Copy `.env.example` to `packages/collector/.env` and fill in your API keys:
+
+```bash
+cp .env.example packages/collector/.env
+```
+
+| Variable               | Description                          |
+|------------------------|--------------------------------------|
+| `DATABASE_URL`         | SQLite path or PostgreSQL URL        |
+| `GROK_API_KEY`         | xAI Grok API key                     |
+| `TWITTER_BEARER_TOKEN` | Twitter/X v2 Bearer Token            |
+| `REDDIT_API_KEY`       | Reddit OAuth token (optional)        |
+
+### 3 – Set up the database
+
+```bash
+cd packages/collector
+npx prisma db push
+```
+
+### 4 – Run data collection
+
+```bash
+# Collect from all configured adapters
+npm run collect
+
+# Or run specific adapters / topics
+COLLECT_SOURCES=reddit COLLECT_TOPICS=technology,finance npm run collect
+```
+
+### 5 – Run the Rust analyzer
+
+```bash
+cargo build --release -p analyzer
+
+# Export posts to JSON first (example using sqlite3 or Prisma)
+./target/release/analyzer --input posts.json --llm grok
+```
+
+---
+
+## GitHub Actions secrets
+
+Add these secrets to your repository for the scheduled workflows to work:
+
+| Secret                 | Description                          |
+|------------------------|--------------------------------------|
+| `GROK_API_KEY`         | xAI Grok API key                     |
+| `TWITTER_BEARER_TOKEN` | Twitter/X v2 Bearer Token            |
+| `REDDIT_API_KEY`       | Reddit OAuth bearer token (optional) |
+| `OPENAI_API_KEY`       | OpenAI API key (optional)            |
+
+---
+
+## Adding a custom adapter
+
+1. Extend `BaseAdapter` in `packages/collector/src/adapters/`:
+
+```typescript
+export class MyAdapter extends BaseAdapter {
+  readonly name = "my-source";
+  readonly requiredConfigKeys = ["apiKey"];
+
+  async collect(config: AdapterConfig): Promise<CollectionResult> {
+    // ... fetch posts, map to SocialPost schema
+  }
+}
+```
+
+2. Register it at startup:
+
+```typescript
+import { defaultRegistry } from "@kashcompiler/collector";
+defaultRegistry.register(new MyAdapter());
+```
+
+---
+
+## Adding a custom algorithm (Rust)
+
+Implement the `Algorithm` trait and push your decisions:
+
+```rust
+pub struct MyAlgorithm;
+
+#[async_trait]
+impl Algorithm for MyAlgorithm {
+    fn name(&self) -> &str { "my-algorithm" }
+
+    async fn run(&self, posts: &[SocialPost], result: &AnalysisResult) -> Result<Vec<AlgorithmDecision>> {
+        // ... analyse posts, return decisions
+    }
+}
+```
+
+Pass it to the pipeline in `main.rs`.
+
+---
+
+## License
+
+Apache 2.0 – see [LICENSE](LICENSE).
diff --git a/crates/analyzer/Cargo.toml b/crates/analyzer/Cargo.toml
new file mode 100644
index 0000000..609a4a4
--- /dev/null
+++ b/crates/analyzer/Cargo.toml
@@ -0,0 +1,33 @@
+[package]
+name = "analyzer"
+version = "0.1.0"
+edition = "2021"
+description = "Rust analysis backend for KashCompiler – pluggable LLM-powered algorithms"
+
+[[bin]]
+name = "analyzer"
+path = "src/main.rs"
+
+[dependencies]
+# HTTP client for LLM API calls
+reqwest = { version = "0.11", features = ["json"] }
+# Async trait support
+async-trait = "0.1"
+# JSON serialization / deserialization
+serde = { version = "1", features = ["derive"] }
+serde_json = "1"
+# Async runtime
+tokio = { version = "1", features = ["full"] }
+# Error handling
+anyhow = "1"
+# UUID generation
+uuid = { version = "1", features = ["v4"] }
+# Timestamp handling
+chrono = { version = "0.4", features = ["serde"] }
+# CLI argument parsing
+clap = { version = "4", features = ["derive"] }
+# Environment variable loading
+dotenvy = "0.15"
+
+[dev-dependencies]
+tokio-test = "0.4"
diff --git a/crates/analyzer/src/algorithms/mod.rs b/crates/analyzer/src/algorithms/mod.rs
new file mode 100644
index 0000000..6f87e36
--- /dev/null
+++ b/crates/analyzer/src/algorithms/mod.rs
@@ -0,0 +1,35 @@
+use anyhow::Result;
+use async_trait::async_trait;
+
+use crate::models::{AlgorithmDecision, AnalysisResult, SocialPost};
+
+/// Pluggable algorithm contract.
+///
+/// Each algorithm receives the full set of collected posts and an already
+/// partially-populated `AnalysisResult` (e.g. containing sentiment scores
+/// computed by an earlier algorithm), and appends its own `AlgorithmDecision`
+/// to `result.decisions`.
+///
+/// Algorithms are intentionally stateless so they can be loaded dynamically
+/// or generated by LLMs.
+#[async_trait]
+pub trait Algorithm: Send + Sync {
+    /// Short, machine-readable name (e.g. "sentiment", "trend-detection")
+    fn name(&self) -> &str;
+
+    /// Run the algorithm and return any decisions.
+    ///
+    /// Algorithms SHOULD NOT mutate `result.sentiments` or `result.trends` –
+    /// those are populated by dedicated algorithms. They MAY read them.
+    async fn run(
+        &self,
+        posts: &[SocialPost],
+        result: &AnalysisResult,
+    ) -> Result<Vec<AlgorithmDecision>>;
+}
+
+pub mod sentiment;
+pub mod trend;
+
+pub use sentiment::SentimentAlgorithm;
+pub use trend::TrendAlgorithm;
diff --git a/crates/analyzer/src/algorithms/sentiment.rs b/crates/analyzer/src/algorithms/sentiment.rs
new file mode 100644
index 0000000..b545834
--- /dev/null
+++ b/crates/analyzer/src/algorithms/sentiment.rs
@@ -0,0 +1,152 @@
+use std::collections::HashMap;
+use std::sync::Arc;
+
+use anyhow::Result;
+use async_trait::async_trait;
+use chrono::Utc;
+
+use crate::llm::LlmProvider;
+use crate::models::{AlgorithmDecision, AnalysisResult, SentimentLabel, SentimentResult, SocialPost};
+use super::Algorithm;
+
+/// Sentiment analysis algorithm.
+///
+/// When an LLM provider is supplied the algorithm asks the LLM to score
+/// each post's sentiment.  Without an LLM provider it falls back to a
+/// simple keyword-based heuristic so tests and offline runs still work.
+pub struct SentimentAlgorithm {
+    llm: Option<Arc<dyn LlmProvider>>,
+}
+
+impl SentimentAlgorithm {
+    pub fn new() -> Self {
+        Self { llm: None }
+    }
+
+    pub fn with_llm(llm: Arc<dyn LlmProvider>) -> Self {
+        Self { llm: Some(llm) }
+    }
+
+    /// Heuristic fallback: count positive/negative keywords.
+    fn heuristic_sentiment(text: &str) -> SentimentResult {
+        let lower = text.to_lowercase();
+        let positive_keywords = [
+            "good", "great", "excellent", "amazing", "awesome", "positive",
+            "bullish", "up", "rise", "growth", "profit", "win",
+        ];
+        let negative_keywords = [
+            "bad", "terrible", "awful", "negative", "bearish", "down",
+            "fall", "loss", "crash", "fail", "risk", "danger",
+        ];
+
+        let pos_count = positive_keywords.iter().filter(|&&kw| lower.contains(kw)).count();
+        let neg_count = negative_keywords.iter().filter(|&&kw| lower.contains(kw)).count();
+
+        let total = (pos_count + neg_count).max(1) as f64;
+        if pos_count > neg_count {
+            SentimentResult {
+                label: SentimentLabel::Positive,
+                score: pos_count as f64 / total,
+            }
+        } else if neg_count > pos_count {
+            SentimentResult {
+                label: SentimentLabel::Negative,
+                score: neg_count as f64 / total,
+            }
+        } else {
+            SentimentResult {
+                label: SentimentLabel::Neutral,
+                score: 0.5,
+            }
+        }
+    }
+
+    async fn llm_sentiment(llm: &dyn LlmProvider, text: &str) -> SentimentResult {
+        let prompt = format!(
+            "Classify the sentiment of the following text as exactly one of: positive, neutral, negative. \
+             Reply with a JSON object: {{\"label\": \"<label>\", \"score\": <0.0-1.0>}}.\n\nText: {text}"
+        );
+        match llm.complete(&prompt).await {
+            Ok(response) => {
+                // Extract JSON from the response
+                if let Some(start) = response.find('{') {
+                    if let Some(end) = response.rfind('}') {
+                        let json_str = &response[start..=end];
+                        if let Ok(v) = serde_json::from_str::<serde_json::Value>(json_str) {
+                            let label = match v["label"].as_str().unwrap_or("neutral") {
+                                "positive" => SentimentLabel::Positive,
+                                "negative" => SentimentLabel::Negative,
+                                _ => SentimentLabel::Neutral,
+                            };
+                            let score = v["score"].as_f64().unwrap_or(0.5);
+                            return SentimentResult { label, score };
+                        }
+                    }
+                }
+                Self::heuristic_sentiment(text)
+            }
+            Err(_) => Self::heuristic_sentiment(text),
+        }
+    }
+}
+
+impl Default for SentimentAlgorithm {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+#[async_trait]
+impl Algorithm for SentimentAlgorithm {
+    fn name(&self) -> &str {
+        "sentiment"
+    }
+
+    async fn run(
+        &self,
+        posts: &[SocialPost],
+        _result: &AnalysisResult,
+    ) -> Result<Vec<AlgorithmDecision>> {
+        let mut sentiments: HashMap<String, SentimentResult> = HashMap::new();
+
+        for post in posts {
+            let sentiment = if let Some(ref llm) = self.llm {
+                Self::llm_sentiment(llm.as_ref(), &post.content).await
+            } else {
+                Self::heuristic_sentiment(&post.content)
+            };
+            sentiments.insert(post.platform_id.clone(), sentiment);
+        }
+
+        let pos = sentiments.values().filter(|s| s.label == SentimentLabel::Positive).count();
+        let neg = sentiments.values().filter(|s| s.label == SentimentLabel::Negative).count();
+        let total = sentiments.len();
+
+        let overall = if pos as f64 / total.max(1) as f64 >= 0.6 {
+            "predominantly positive"
+        } else if neg as f64 / total.max(1) as f64 >= 0.6 {
+            "predominantly negative"
+        } else {
+            "mixed"
+        };
+
+        let provider = self.llm.as_ref().map(|l| l.name().to_string());
+        let sentiments_json = serde_json::to_value(&sentiments)?;
+
+        Ok(vec![AlgorithmDecision {
+            algorithm: self.name().to_string(),
+            llm_provider: provider,
+            summary: format!(
+                "Sentiment analysis of {} posts: {} positive, {} negative, {} neutral – overall {overall}.",
+                total, pos, neg, total - pos - neg
+            ),
+            confidence: 0.8,
+            decided_at: Utc::now(),
+            payload: serde_json::json!({
+                "sentiments": sentiments_json,
+                "positiveCount": pos,
+                "negativeCount": neg,
+            }),
+        }])
+    }
+}
diff --git a/crates/analyzer/src/algorithms/trend.rs b/crates/analyzer/src/algorithms/trend.rs
new file mode 100644
index 0000000..4e4036c
--- /dev/null
+++ b/crates/analyzer/src/algorithms/trend.rs
@@ -0,0 +1,133 @@
+use std::collections::HashMap;
+use std::sync::Arc;
+
+use anyhow::Result;
+use async_trait::async_trait;
+use chrono::Utc;
+
+use crate::llm::LlmProvider;
+use crate::models::{AlgorithmDecision, AnalysisResult, SentimentLabel, TrendEntry, SocialPost};
+use super::Algorithm;
+
+/// Trend detection algorithm.
+///
+/// Aggregates posts by tag/topic, computes frequency and dominant sentiment,
+/// then optionally asks an LLM to summarise the top trends into a decision.
+pub struct TrendAlgorithm {
+    llm: Option<Arc<dyn LlmProvider>>,
+    /// Minimum number of posts required to surface a trend
+    min_post_count: usize,
+}
+
+impl TrendAlgorithm {
+    pub fn new() -> Self {
+        Self { llm: None, min_post_count: 2 }
+    }
+
+    pub fn with_llm(llm: Arc<dyn LlmProvider>) -> Self {
+        Self { llm: Some(llm), min_post_count: 2 }
+    }
+
+    #[allow(dead_code)]
+    pub fn with_min_post_count(mut self, n: usize) -> Self {
+        self.min_post_count = n;
+        self
+    }
+
+    fn dominant_sentiment(labels: &[SentimentLabel]) -> SentimentLabel {
+        let pos = labels.iter().filter(|l| **l == SentimentLabel::Positive).count();
+        let neg = labels.iter().filter(|l| **l == SentimentLabel::Negative).count();
+        if pos > neg { SentimentLabel::Positive }
+        else if neg > pos { SentimentLabel::Negative }
+        else { SentimentLabel::Neutral }
+    }
+}
+
+impl Default for TrendAlgorithm {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+#[async_trait]
+impl Algorithm for TrendAlgorithm {
+    fn name(&self) -> &str {
+        "trend-detection"
+    }
+
+    async fn run(
+        &self,
+        posts: &[SocialPost],
+        result: &AnalysisResult,
+    ) -> Result<Vec<AlgorithmDecision>> {
+        // Aggregate tags → { count, sentiments[] }
+        let mut tag_map: HashMap<String, (usize, Vec<SentimentLabel>)> = HashMap::new();
+
+        for post in posts {
+            let sentiment = result
+                .sentiments
+                .get(&post.platform_id)
+                .map(|s| s.label.clone())
+                .unwrap_or(SentimentLabel::Neutral);
+
+            for tag in &post.tags {
+                let entry = tag_map.entry(tag.clone()).or_default();
+                entry.0 += 1;
+                entry.1.push(sentiment.clone());
+            }
+        }
+
+        let mut trends: Vec<TrendEntry> = tag_map
+            .into_iter()
+            .filter(|(_, (count, _))| *count >= self.min_post_count)
+            .map(|(topic, (post_count, sentiments))| TrendEntry {
+                topic,
+                post_count,
+                avg_sentiment: Self::dominant_sentiment(&sentiments),
+            })
+            .collect();
+
+        // Sort descending by post count
+        trends.sort_by(|a, b| b.post_count.cmp(&a.post_count));
+        let top_trends = &trends[..trends.len().min(10)];
+
+        let summary = if top_trends.is_empty() {
+            "No significant trends detected.".to_string()
+        } else if let Some(ref llm) = self.llm {
+            let trend_list = top_trends
+                .iter()
+                .map(|t| format!("{} ({} posts, {} sentiment)", t.topic, t.post_count, t.avg_sentiment))
+                .collect::<Vec<_>>()
+                .join("; ");
+
+            let prompt = format!(
+                "Summarise the following social media trends in 1-2 sentences for an algorithmic trader:\n{trend_list}"
+            );
+            llm.complete(&prompt).await.unwrap_or_else(|_| {
+                format!("Top trends: {trend_list}")
+            })
+        } else {
+            format!(
+                "Top {} trend(s): {}",
+                top_trends.len(),
+                top_trends
+                    .iter()
+                    .map(|t| t.topic.as_str())
+                    .collect::<Vec<_>>()
+                    .join(", ")
+            )
+        };
+
+        let provider = self.llm.as_ref().map(|l| l.name().to_string());
+        let trends_json = serde_json::to_value(top_trends)?;
+
+        Ok(vec![AlgorithmDecision {
+            algorithm: self.name().to_string(),
+            llm_provider: provider,
+            summary,
+            confidence: 0.75,
+            decided_at: Utc::now(),
+            payload: serde_json::json!({ "trends": trends_json }),
+        }])
+    }
+}
diff --git a/crates/analyzer/src/llm/grok.rs b/crates/analyzer/src/llm/grok.rs
new file mode 100644
index 0000000..dc23d2b
--- /dev/null
+++ b/crates/analyzer/src/llm/grok.rs
@@ -0,0 +1,99 @@
+use anyhow::{anyhow, Result};
+use async_trait::async_trait;
+use reqwest::Client;
+use serde::{Deserialize, Serialize};
+
+use super::LlmProvider;
+
+#[derive(Serialize)]
+struct GrokRequest<'a> {
+    model: &'a str,
+    messages: Vec<GrokMessage<'a>>,
+    max_tokens: u32,
+}
+
+#[derive(Serialize)]
+struct GrokMessage<'a> {
+    role: &'a str,
+    content: &'a str,
+}
+
+#[derive(Deserialize)]
+struct GrokResponse {
+    choices: Vec<GrokChoice>,
+}
+
+#[derive(Deserialize)]
+struct GrokChoice {
+    message: GrokChoiceMessage,
+}
+
+#[derive(Deserialize)]
+struct GrokChoiceMessage {
+    content: String,
+}
+
+/// xAI Grok LLM provider.
+///
+/// Uses the Grok chat completions API compatible with the OpenAI SDK format.
+pub struct GrokProvider {
+    api_key: String,
+    model: String,
+    client: Client,
+}
+
+impl GrokProvider {
+    pub fn new(api_key: impl Into<String>) -> Self {
+        Self {
+            api_key: api_key.into(),
+            model: "grok-3".to_string(),
+            client: Client::new(),
+        }
+    }
+
+    #[allow(dead_code)]
+    pub fn with_model(mut self, model: impl Into<String>) -> Self {
+        self.model = model.into();
+        self
+    }
+}
+
+#[async_trait]
+impl LlmProvider for GrokProvider {
+    fn name(&self) -> &str {
+        "grok"
+    }
+
+    async fn complete(&self, prompt: &str) -> Result<String> {
+        let request = GrokRequest {
+            model: &self.model,
+            messages: vec![GrokMessage {
+                role: "user",
+                content: prompt,
+            }],
+            max_tokens: 1024,
+        };
+
+        let response = self
+            .client
+            .post("https://api.x.ai/v1/chat/completions")
+            .bearer_auth(&self.api_key)
+            .json(&request)
+            .send()
+            .await?;
+
+        if !response.status().is_success() {
+            let status = response.status();
+            let body = response.text().await.unwrap_or_default();
+            return Err(anyhow!("Grok API error {}: {}", status, body));
+        }
+
+        let parsed: GrokResponse = response.json().await?;
+        parsed
+            .choices
+            .into_iter()
+            .next()
+            .map(|c| c.message.content)
+            .ok_or_else(|| anyhow!("Grok returned no choices"))
+    }
+}
diff --git a/crates/analyzer/src/llm/mod.rs b/crates/analyzer/src/llm/mod.rs
new file mode 100644
index 0000000..f0ba92a
--- /dev/null
+++ b/crates/analyzer/src/llm/mod.rs
@@ -0,0 +1,21 @@
+use anyhow::Result;
+use async_trait::async_trait;
+
+/// Contract for every LLM provider.
+///
+/// Implementors handle authentication and API specifics; callers only see
+/// `complete()` which takes a prompt and returns the model's response text.
+#[async_trait]
+pub trait LlmProvider: Send + Sync {
+    /// Human-readable name of this provider (e.g. "grok", "openai")
+    fn name(&self) -> &str;
+
+    /// Send `prompt` to the model and return the completion text.
+    async fn complete(&self, prompt: &str) -> Result<String>;
+}
+
+pub mod grok;
+pub mod openai;
+
+pub use grok::GrokProvider;
+pub use openai::OpenAiProvider;
diff --git a/crates/analyzer/src/llm/openai.rs b/crates/analyzer/src/llm/openai.rs
new file mode 100644
index 0000000..0150a33
--- /dev/null
+++ b/crates/analyzer/src/llm/openai.rs
@@ -0,0 +1,106 @@
+use anyhow::{anyhow, Result};
+use async_trait::async_trait;
+use reqwest::Client;
+use serde::{Deserialize, Serialize};
+
+use super::LlmProvider;
+
+#[derive(Serialize)]
+struct OpenAiRequest<'a> {
+    model: &'a str,
+    messages: Vec<OpenAiMessage<'a>>,
+    max_tokens: u32,
+}
+
+#[derive(Serialize)]
+struct OpenAiMessage<'a> {
+    role: &'a str,
+    content: &'a str,
+}
+
+#[derive(Deserialize)]
+struct OpenAiResponse {
+    choices: Vec<OpenAiChoice>,
+}
+
+#[derive(Deserialize)]
+struct OpenAiChoice {
+    message: OpenAiChoiceMessage,
+}
+
+#[derive(Deserialize)]
+struct OpenAiChoiceMessage {
+    content: String,
+}
+
+/// OpenAI-compatible LLM provider (also works with local Ollama or similar).
+pub struct OpenAiProvider {
+    api_key: String,
+    model: String,
+    base_url: String,
+    client: Client,
+}
+
+impl OpenAiProvider {
+    pub fn new(api_key: impl Into<String>) -> Self {
+        Self {
+            api_key: api_key.into(),
+            model: "gpt-4o-mini".to_string(),
+            base_url: "https://api.openai.com/v1".to_string(),
+            client: Client::new(),
+        }
+    }
+
+    /// Override to use a self-hosted or alternative OpenAI-compatible endpoint
+    #[allow(dead_code)]
+    pub fn with_base_url(mut self, base_url: impl Into<String>) -> Self {
+        self.base_url = base_url.into();
+        self
+    }
+
+    #[allow(dead_code)]
+    pub fn with_model(mut self, model: impl Into<String>) -> Self {
+        self.model = model.into();
+        self
+    }
+}
+
+#[async_trait]
+impl LlmProvider for OpenAiProvider {
+    fn name(&self) -> &str {
+        "openai"
+    }
+
+    async fn complete(&self, prompt: &str) -> Result<String> {
+        let request = OpenAiRequest {
+            model: &self.model,
+            messages: vec![OpenAiMessage {
+                role: "user",
+                content: prompt,
+            }],
+            max_tokens: 1024,
+        };
+
+        let response = self
+            .client
+            .post(format!("{}/chat/completions", self.base_url))
+            .bearer_auth(&self.api_key)
+            .json(&request)
+            .send()
+            .await?;
+
+        if !response.status().is_success() {
+            let status = response.status();
+            let body = response.text().await.unwrap_or_default();
+            return Err(anyhow!("OpenAI API error {}: {}", status, body));
+        }
+
+        let parsed: OpenAiResponse = response.json().await?;
+        parsed
+            .choices
+            .into_iter()
+            .next()
+            .map(|c| c.message.content)
+            .ok_or_else(|| anyhow!("OpenAI returned no choices"))
+    }
+}
diff --git a/crates/analyzer/src/main.rs b/crates/analyzer/src/main.rs
new file mode 100644
index 0000000..28c3e5c
--- /dev/null
+++ b/crates/analyzer/src/main.rs
@@ -0,0 +1,264 @@
+/*!
+ * KashCompiler Analyzer
+ *
+ * Reads collected social media posts from a JSON file (produced by the
+ * TypeScript collector), runs the pluggable algorithm pipeline, and writes
+ * `AnalysisResult` JSON to stdout or a file.
+ *
+ * Usage:
+ *   analyzer --input posts.json [--output result.json] [--llm grok] [--algorithms sentiment,trend-detection]
+ *
+ * Environment variables:
+ *   GROK_API_KEY       – xAI Grok API key
+ *   OPENAI_API_KEY     – OpenAI API key
+ */
+
+use std::{collections::HashMap, path::PathBuf, sync::Arc};
+
+use anyhow::{Context, Result};
+use chrono::Utc;
+use clap::Parser;
+use uuid::Uuid;
+
+mod algorithms;
+mod llm;
+mod models;
+
+use algorithms::{Algorithm, SentimentAlgorithm, TrendAlgorithm};
+use llm::{GrokProvider, LlmProvider, OpenAiProvider};
+use models::{AnalysisResult, SocialPost};
+
+#[derive(Parser, Debug)]
+#[command(name = "analyzer", about = "KashCompiler LLM-powered analysis backend")]
+struct Cli {
+    /// Path to the JSON file containing collected SocialPost objects
+    #[arg(short, long)]
+    input: PathBuf,
+
+    /// Path to write the AnalysisResult JSON (default: stdout)
+    #[arg(short, long)]
+    output: Option<PathBuf>,
+
+    /// LLM provider to use: "grok" | "openai" | "none" (default: none)
+    #[arg(long, default_value = "none")]
+    llm: String,
+
+    /// Collection run ID to associate with this analysis
+    #[arg(long, default_value = "")]
+    run_id: String,
+
+    /// Comma-separated list of algorithms to run (default: sentiment,trend-detection)
+    #[arg(long, default_value = "sentiment,trend-detection")]
+    algorithms: String,
+}
+
+fn build_llm_provider(name: &str) -> Option<Arc<dyn LlmProvider>> {
+    match name {
+        "grok" => {
+            let key = std::env::var("GROK_API_KEY").ok()?;
+            Some(Arc::new(GrokProvider::new(key)))
+        }
+        "openai" => {
+            let key = std::env::var("OPENAI_API_KEY").ok()?;
+            Some(Arc::new(OpenAiProvider::new(key)))
+        }
+        _ => None,
+    }
+}
+
+fn build_algorithms(
+    names: &[&str],
+    llm: Option<Arc<dyn LlmProvider>>,
+) -> Vec<Box<dyn Algorithm>> {
+    names
+        .iter()
+        .filter_map(|&name| -> Option<Box<dyn Algorithm>> {
+            match name {
+                "sentiment" => {
+                    let algo = match &llm {
+                        Some(l) => SentimentAlgorithm::with_llm(Arc::clone(l)),
+                        None => SentimentAlgorithm::new(),
+                    };
+                    Some(Box::new(algo))
+                }
+                "trend-detection" => {
+                    let algo = match &llm {
+                        Some(l) => TrendAlgorithm::with_llm(Arc::clone(l)),
+                        None => TrendAlgorithm::new(),
+                    };
+                    Some(Box::new(algo))
+                }
+                other => {
+                    eprintln!("[analyzer] Unknown algorithm: {other} – skipping");
+                    None
+                }
+            }
+        })
+        .collect()
+}
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    // Load .env if present
+    let _ = dotenvy::dotenv();
+
+    let cli = Cli::parse();
+
+    // Load posts
+    let json_bytes =
+        std::fs::read(&cli.input).with_context(|| format!("reading {:?}", cli.input))?;
+    let posts: Vec<SocialPost> =
+        serde_json::from_slice(&json_bytes).context("parsing posts JSON")?;
+
+    eprintln!("[analyzer] Loaded {} posts from {:?}", posts.len(), cli.input);
+
+    let run_id = if cli.run_id.is_empty() {
+        Uuid::new_v4().to_string()
+    } else {
+        cli.run_id.clone()
+    };
+
+    // Build initial (empty) result
+    let mut result = AnalysisResult {
+        id: Uuid::new_v4().to_string(),
+        collection_run_id: run_id,
+        analyzed_at: Utc::now(),
+        sentiments: HashMap::new(),
+        trends: Vec::new(),
+        decisions: Vec::new(),
+    };
+
+    // Build LLM provider (optional)
+    let llm = build_llm_provider(&cli.llm);
+    if llm.is_some() {
+        eprintln!("[analyzer] Using LLM provider: {}", cli.llm);
+    } else if cli.llm != "none" {
+        eprintln!("[analyzer] LLM provider '{}' not configured – falling back to heuristics", cli.llm);
+    }
+
+    // Build & run algorithms in order
+    let algo_names: Vec<&str> = cli.algorithms.split(',').map(str::trim).collect();
+    let algorithms = build_algorithms(&algo_names, llm);
+
+    for algo in &algorithms {
+        eprintln!("[analyzer] Running algorithm: {}", algo.name());
+        let decisions = algo.run(&posts, &result).await?;
+        eprintln!("[analyzer]   → {} decision(s)", decisions.len());
+        result.decisions.extend(decisions);
+    }
+
+    // Serialise output
+    let output_json = serde_json::to_string_pretty(&result).context("serialising result")?;
+
+    match &cli.output {
+        Some(path) => {
+            std::fs::write(path, &output_json)
+                .with_context(|| format!("writing result to {path:?}"))?;
+            eprintln!("[analyzer] Result written to {:?}", path);
+        }
+        None => {
+            println!("{output_json}");
+        }
+    }
+
+    Ok(())
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use models::{SentimentLabel, SentimentResult, SocialPost, SocialUser};
+    use chrono::Utc;
+
+    fn make_post(id: &str, content: &str, tags: Vec<String>) -> SocialPost {
+        SocialPost {
+            platform_id: id.to_string(),
+            platform: "test".to_string(),
+            url: None,
+            content: content.to_string(),
+            raw_content: None,
+            author: SocialUser {
+                platform_id: "u1".to_string(),
+                username: "tester".to_string(),
+                display_name: None,
+                platform: "test".to_string(),
+            },
+            published_at: Utc::now(),
+            collected_at: Utc::now(),
+            tags,
+            like_count: None,
+            share_count: None,
+            comment_count: None,
+        }
+    }
+
+    fn empty_result(run_id: &str) -> AnalysisResult {
+        AnalysisResult {
+            id: Uuid::new_v4().to_string(),
+            collection_run_id: run_id.to_string(),
+            analyzed_at: Utc::now(),
+            sentiments: HashMap::new(),
+            trends: Vec::new(),
+            decisions: Vec::new(),
+        }
+    }
+
+    #[tokio::test]
+    async fn sentiment_algorithm_produces_decisions() {
+        let posts = vec![
+            make_post("p1", "This is an amazing growth opportunity!", vec!["AI".to_string()]),
+            make_post("p2", "Terrible crash and massive loss today.", vec!["finance".to_string()]),
+            make_post("p3", "Just a normal day.", vec!["tech".to_string()]),
+        ];
+        let result = empty_result("run-1");
+        let algo = SentimentAlgorithm::new();
+        let decisions = algo.run(&posts, &result).await.unwrap();
+        assert!(!decisions.is_empty());
+        assert_eq!(decisions[0].algorithm, "sentiment");
+        // payload should contain sentiments map
+        assert!(decisions[0].payload["sentiments"].is_object());
+    }
+
+    #[tokio::test]
+    async fn trend_algorithm_detects_repeated_tags() {
+        let posts = vec![
+            make_post("p1", "AI is great", vec!["AI".to_string(), "tech".to_string()]),
+            make_post("p2", "AI is also great", vec!["AI".to_string()]),
+            make_post("p3", "tech is everywhere", vec!["tech".to_string()]),
+        ];
+        let mut result = empty_result("run-2");
+        // Populate minimal sentiments so trend can read them
+        result.sentiments.insert("p1".to_string(), SentimentResult { label: SentimentLabel::Positive, score: 0.9 });
+        result.sentiments.insert("p2".to_string(), SentimentResult { label: SentimentLabel::Positive, score: 0.8 });
+        result.sentiments.insert("p3".to_string(), SentimentResult { label: SentimentLabel::Neutral, score: 0.5 });
+
+        let algo = TrendAlgorithm::new().with_min_post_count(2);
+        let decisions = algo.run(&posts, &result).await.unwrap();
+        assert!(!decisions.is_empty());
+        let trends = &decisions[0].payload["trends"];
+        assert!(trends.as_array().map(|a| !a.is_empty()).unwrap_or(false));
+        // "AI" should appear since it has 2 posts
+        let trend_topics: Vec<&str> = trends.as_array().unwrap()
+            .iter()
+            .filter_map(|t| t["topic"].as_str())
+            .collect();
+        assert!(trend_topics.contains(&"AI"));
+    }
+
+    #[test]
+    fn build_llm_provider_none() {
+        // Without env vars, non-"none" provider should return None
+        std::env::remove_var("GROK_API_KEY");
+        let provider = build_llm_provider("grok");
+        assert!(provider.is_none());
+    }
+
+    #[test]
+    fn build_llm_provider_with_key() {
+        std::env::set_var("GROK_API_KEY", "test-key");
+        let provider = build_llm_provider("grok");
+        assert!(provider.is_some());
+        assert_eq!(provider.unwrap().name(), "grok");
+        std::env::remove_var("GROK_API_KEY");
+    }
+}
diff --git a/crates/analyzer/src/models/mod.rs b/crates/analyzer/src/models/mod.rs
new file mode 100644
index 0000000..7d0619e
--- /dev/null
+++ b/crates/analyzer/src/models/mod.rs
@@ -0,0 +1,95 @@
+use serde::{Deserialize, Serialize};
+use chrono::{DateTime, Utc};
+
+/// Mirrors the TypeScript `SocialPost` schema.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SocialPost {
+    #[serde(rename = "platformId")]
+    pub platform_id: String,
+    pub platform: String,
+    pub url: Option<String>,
+    pub content: String,
+    #[serde(rename = "rawContent")]
+    pub raw_content: Option<String>,
+    pub author: SocialUser,
+    #[serde(rename = "publishedAt")]
+    pub published_at: DateTime<Utc>,
+    #[serde(rename = "collectedAt")]
+    pub collected_at: DateTime<Utc>,
+    pub tags: Vec<String>,
+    #[serde(rename = "likeCount")]
+    pub like_count: Option<i64>,
+    #[serde(rename = "shareCount")]
+    pub share_count: Option<i64>,
+    #[serde(rename = "commentCount")]
+    pub comment_count: Option<i64>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SocialUser {
+    #[serde(rename = "platformId")]
+    pub platform_id: String,
+    pub username: String,
+    #[serde(rename = "displayName")]
+    pub display_name: Option<String>,
+    pub platform: String,
+}
+
+/// Mirrors the TypeScript `SentimentResult` schema.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SentimentResult {
+    pub label: SentimentLabel,
+    pub score: f64,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
+#[serde(rename_all = "lowercase")]
+pub enum SentimentLabel {
+    Positive,
+    Neutral,
+    Negative,
+}
+
+impl std::fmt::Display for SentimentLabel {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        match self {
+            SentimentLabel::Positive => write!(f, "positive"),
+            SentimentLabel::Neutral => write!(f, "neutral"),
+            SentimentLabel::Negative => write!(f, "negative"),
+        }
+    }
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TrendEntry {
+    pub topic: String,
+    #[serde(rename = "postCount")]
+    pub post_count: usize,
+    #[serde(rename = "avgSentiment")]
+    pub avg_sentiment: SentimentLabel,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct AlgorithmDecision {
+    pub algorithm: String,
+    #[serde(rename = "llmProvider", skip_serializing_if = "Option::is_none")]
+    pub llm_provider: Option<String>,
+    pub summary: String,
+    pub confidence: f64,
+    #[serde(rename = "decidedAt")]
+    pub decided_at: DateTime<Utc>,
+    pub payload: serde_json::Value,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct AnalysisResult {
+    pub id: String,
+    #[serde(rename = "collectionRunId")]
+    pub collection_run_id: String,
+    #[serde(rename = "analyzedAt")]
+    pub analyzed_at: DateTime<Utc>,
+    /// keyed by post platformId
+    pub sentiments: std::collections::HashMap<String, SentimentResult>,
+    pub trends: Vec<TrendEntry>,
+    pub decisions: Vec<AlgorithmDecision>,
+}
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..f758d56
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,5526 @@
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+      "license": "MIT",
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+      "dependencies": {
+        "@prisma/client": "^5.10.0",
+        "axios": "^1.6.0",
+        "zod": "^3.22.0"
+      },
+      "devDependencies": {
+        "@types/jest": "^29.5.0",
+        "@types/node": "^20.0.0",
+        "@typescript-eslint/eslint-plugin": "^7.0.0",
+        "@typescript-eslint/parser": "^7.0.0",
+        "eslint": "^8.57.0",
+        "jest": "^29.7.0",
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+        "typescript": "^5.3.0"
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+  }
+}
diff --git a/package.json b/package.json
new file mode 100644
index 0000000..327019c
--- /dev/null
+++ b/package.json
@@ -0,0 +1,20 @@
+{
+  "name": "kashcompiler",
+  "version": "0.1.0",
+  "description": "Social media data gathering, LLM-powered analysis and algorithmic decision making",
+  "private": true,
+  "workspaces": [
+    "packages/*"
+  ],
+  "scripts": {
+    "build": "npm run build --workspaces",
+    "test": "npm run test --workspaces --if-present",
+    "lint": "npm run lint --workspaces --if-present",
+    "collect": "npm run collect -w packages/collector",
+    "db:generate": "npm run db:generate -w packages/collector",
+    "db:migrate": "npm run db:migrate -w packages/collector"
+  },
+  "engines": {
+    "node": ">=18.0.0"
+  }
+}
diff --git a/packages/collector/package.json b/packages/collector/package.json
new file mode 100644
index 0000000..237efa4
--- /dev/null
+++ b/packages/collector/package.json
@@ -0,0 +1,38 @@
+{
+  "name": "@kashcompiler/collector",
+  "version": "0.1.0",
+  "description": "Social media data collection with adapter-based sources and Prisma ORM",
+  "main": "dist/index.js",
+  "types": "dist/index.d.ts",
+  "scripts": {
+    "build": "tsc",
+    "dev": "tsc --watch",
+    "lint": "eslint 'src/**/*.ts'",
+    "test": "jest",
+    "collect": "node dist/runners/collect.js",
+    "db:generate": "prisma generate",
+    "db:migrate": "prisma migrate dev",
+    "db:push": "prisma db push"
+  },
+  "dependencies": {
+    "@prisma/client": "^5.10.0",
+    "axios": "^1.6.0",
+    "zod": "^3.22.0"
+  },
+  "devDependencies": {
+    "@types/node": "^20.0.0",
+    "@typescript-eslint/eslint-plugin": "^7.0.0",
+    "@typescript-eslint/parser": "^7.0.0",
+    "eslint": "^8.57.0",
+    "jest": "^29.7.0",
+    "@types/jest": "^29.5.0",
+    "ts-jest": "^29.1.0",
+    "prisma": "^5.10.0",
+    "typescript": "^5.3.0"
+  },
+  "jest": {
+    "preset": "ts-jest",
+    "testEnvironment": "node",
+    "testMatch": ["**/__tests__/**/*.ts", "**/*.test.ts"]
+  }
+}
diff --git a/packages/collector/prisma/schema.prisma b/packages/collector/prisma/schema.prisma
new file mode 100644
index 0000000..d94e49e
--- /dev/null
+++ b/packages/collector/prisma/schema.prisma
@@ -0,0 +1,90 @@
+// Prisma ORM schema mirroring the TypeScript data schemas.
+// Uses SQLite for development/CI and can be swapped to PostgreSQL for production.
+
+generator client {
+  provider = "prisma-client-js"
+}
+
+datasource db {
+  provider = "sqlite"
+  url      = env("DATABASE_URL")
+}
+
+// ─── Social Media Entities ───────────────────────────────────────────────────
+
+model SocialUser {
+  id           String   @id @default(cuid())
+  platformId   String
+  platform     String
+  username     String
+  displayName  String?
+  profileUrl   String?
+  followerCount Int?
+  createdAt    DateTime @default(now())
+  updatedAt    DateTime @updatedAt
+
+  posts SocialPost[]
+
+  @@unique([platform, platformId])
+  @@index([platform])
+}
+
+model SocialPost {
+  id           String   @id @default(cuid())
+  platformId   String
+  platform     String
+  url          String?
+  content      String
+  rawContent   String?
+  publishedAt  DateTime
+  collectedAt  DateTime
+  likeCount    Int?
+  shareCount   Int?
+  commentCount Int?
+  tags         String   // JSON array stored as text
+  metadata     String?  // JSON object stored as text
+
+  authorId String
+  author   SocialUser @relation(fields: [authorId], references: [id])
+
+  runId String
+  run   CollectionRun @relation(fields: [runId], references: [id])
+
+  @@unique([platform, platformId])
+  @@index([platform])
+  @@index([publishedAt])
+  @@index([runId])
+}
+
+// ─── Collection Tracking ─────────────────────────────────────────────────────
+
+model CollectionRun {
+  id             String    @id @default(cuid())
+  source         String
+  startedAt      DateTime
+  finishedAt     DateTime?
+  postsCollected Int       @default(0)
+  error          String?
+
+  posts   SocialPost[]
+  results AnalysisResult[]
+
+  @@index([source])
+  @@index([startedAt])
+}
+
+// ─── Analysis Outputs ────────────────────────────────────────────────────────
+
+model AnalysisResult {
+  id              String   @id @default(cuid())
+  analyzedAt      DateTime
+  sentiments      String   // JSON: Record<platformId, SentimentResult>
+  trends          String   // JSON: TrendEntry[]
+  decisions       String   // JSON: AlgorithmDecision[]
+
+  collectionRunId String
+  collectionRun   CollectionRun @relation(fields: [collectionRunId], references: [id])
+
+  @@index([collectionRunId])
+  @@index([analyzedAt])
+}
diff --git a/packages/collector/src/__tests__/adapters.test.ts b/packages/collector/src/__tests__/adapters.test.ts
new file mode 100644
index 0000000..148f453
--- /dev/null
+++ b/packages/collector/src/__tests__/adapters.test.ts
@@ -0,0 +1,83 @@
+import { AdapterRegistry, GrokAdapter, TwitterAdapter, RedditAdapter } from "../adapters";
+import type { AdapterConfig } from "../adapters";
+
+describe("AdapterRegistry", () => {
+  it("registers built-in adapters", () => {
+    const registry = new AdapterRegistry();
+    const names = registry.list();
+    expect(names).toContain("grok");
+    expect(names).toContain("twitter");
+    expect(names).toContain("reddit");
+  });
+
+  it("retrieves adapter by name", () => {
+    const registry = new AdapterRegistry();
+    const adapter = registry.get("grok");
+    expect(adapter).toBeInstanceOf(GrokAdapter);
+  });
+
+  it("throws for unknown adapter", () => {
+    const registry = new AdapterRegistry();
+    expect(() => registry.get("nonexistent")).toThrow(/not found/);
+  });
+
+  it("allows custom adapter registration", () => {
+    const registry = new AdapterRegistry([]);
+    const custom = new GrokAdapter();
+    registry.register(custom);
+    expect(registry.list()).toContain("grok");
+  });
+});
+
+describe("BaseAdapter.validateConfig", () => {
+  const grok = new GrokAdapter();
+  const config: AdapterConfig = { apiKey: "test-key" };
+
+  it("passes validation with required keys present", () => {
+    expect(() => (grok as any).validateConfig(config)).not.toThrow();
+  });
+
+  it("throws when required key is missing", () => {
+    expect(() => (grok as any).validateConfig({})).toThrow(/Missing required config key/);
+  });
+
+  it("throws when required key is empty string", () => {
+    expect(() => (grok as any).validateConfig({ apiKey: "" })).toThrow(/Missing required config key/);
+  });
+});
+
+describe("RedditAdapter (no required API key)", () => {
+  const adapter = new RedditAdapter();
+
+  it("has empty requiredConfigKeys", () => {
+    expect(adapter.requiredConfigKeys).toHaveLength(0);
+  });
+
+  it("does not throw validateConfig with empty config", () => {
+    expect(() => (adapter as any).validateConfig({})).not.toThrow();
+  });
+});
+
+describe("TwitterAdapter", () => {
+  const adapter = new TwitterAdapter();
+
+  it("has name 'twitter'", () => {
+    expect(adapter.name).toBe("twitter");
+  });
+
+  it("requires apiKey", () => {
+    expect(adapter.requiredConfigKeys).toContain("apiKey");
+  });
+});
+
+describe("GrokAdapter", () => {
+  const adapter = new GrokAdapter();
+
+  it("has name 'grok'", () => {
+    expect(adapter.name).toBe("grok");
+  });
+
+  it("requires apiKey", () => {
+    expect(adapter.requiredConfigKeys).toContain("apiKey");
+  });
+});
diff --git a/packages/collector/src/__tests__/schema.test.ts b/packages/collector/src/__tests__/schema.test.ts
new file mode 100644
index 0000000..9aeff81
--- /dev/null
+++ b/packages/collector/src/__tests__/schema.test.ts
@@ -0,0 +1,66 @@
+import type { SocialPost, SocialUser, AnalysisResult, CollectionRun } from "../schema";
+
+describe("Schema types", () => {
+  it("constructs a valid SocialUser", () => {
+    const user: SocialUser = {
+      platformId: "u123",
+      username: "testuser",
+      platform: "twitter",
+    };
+    expect(user.platform).toBe("twitter");
+    expect(user.platformId).toBe("u123");
+  });
+
+  it("constructs a valid SocialPost", () => {
+    const user: SocialUser = {
+      platformId: "u123",
+      username: "testuser",
+      platform: "reddit",
+    };
+    const post: SocialPost = {
+      platformId: "p456",
+      platform: "reddit",
+      content: "Hello world",
+      author: user,
+      publishedAt: new Date().toISOString(),
+      collectedAt: new Date().toISOString(),
+      tags: ["technology"],
+    };
+    expect(post.platform).toBe("reddit");
+    expect(post.tags).toContain("technology");
+  });
+
+  it("constructs a valid CollectionRun", () => {
+    const run: CollectionRun = {
+      id: "run-1",
+      source: "grok",
+      startedAt: new Date().toISOString(),
+      postsCollected: 5,
+    };
+    expect(run.source).toBe("grok");
+    expect(run.error).toBeUndefined();
+  });
+
+  it("constructs a valid AnalysisResult", () => {
+    const result: AnalysisResult = {
+      id: "ar-1",
+      collectionRunId: "run-1",
+      analyzedAt: new Date().toISOString(),
+      sentiments: {
+        p456: { label: "positive", score: 0.9 },
+      },
+      trends: [{ topic: "AI", postCount: 3, avgSentiment: "positive" }],
+      decisions: [
+        {
+          algorithm: "sentiment-trend",
+          summary: "Positive trend detected",
+          confidence: 0.85,
+          decidedAt: new Date().toISOString(),
+          payload: {},
+        },
+      ],
+    };
+    expect(result.decisions[0].algorithm).toBe("sentiment-trend");
+    expect(result.sentiments["p456"].label).toBe("positive");
+  });
+});
diff --git a/packages/collector/src/adapters/base.ts b/packages/collector/src/adapters/base.ts
new file mode 100644
index 0000000..a522c49
--- /dev/null
+++ b/packages/collector/src/adapters/base.ts
@@ -0,0 +1,56 @@
+import type { SocialPost, CollectionRun } from "../schema";
+
+/**
+ * Configuration passed to every adapter at construction time.
+ * Concrete adapters declare their required keys via `requiredConfigKeys`.
+ */
+export interface AdapterConfig {
+  /** API key or access token for the source */
+  apiKey?: string;
+  /** Free-text search queries / topics to collect */
+  topics?: string[];
+  /** Maximum number of posts to collect per run */
+  maxPostsPerRun?: number;
+  /** Any additional adapter-specific settings */
+  [key: string]: unknown;
+}
+
+/**
+ * Result returned after a single collection run.
+ */
+export interface CollectionResult {
+  run: CollectionRun;
+  posts: SocialPost[];
+}
+
+/**
+ * Base contract that every social media adapter must implement.
+ *
+ * Adapters are stateless – all state is passed in via `collect()`.
+ * This keeps them composable and easy to test.
+ */
+export abstract class BaseAdapter {
+  /** Human-readable source name (e.g. "twitter", "reddit") */
+  abstract readonly name: string;
+
+  /** Config keys that MUST be present for this adapter to function */
+  abstract readonly requiredConfigKeys: string[];
+
+  /**
+   * Validate that `config` contains all required keys.
+   * Throws if any key is missing.
+   */
+  protected validateConfig(config: AdapterConfig): void {
+    for (const key of this.requiredConfigKeys) {
+      if (config[key] === undefined || config[key] === null || config[key] === "") {
+        throw new Error(`[${this.name}] Missing required config key: ${key}`);
+      }
+    }
+  }
+
+  /**
+   * Collect posts from the social media source.
+   * Must be implemented by each concrete adapter.
+   */
+  abstract collect(config: AdapterConfig): Promise<CollectionResult>;
+}
diff --git a/packages/collector/src/adapters/grok.ts b/packages/collector/src/adapters/grok.ts
new file mode 100644
index 0000000..b5368d2
--- /dev/null
+++ b/packages/collector/src/adapters/grok.ts
@@ -0,0 +1,120 @@
+import axios from "axios";
+import { randomUUID } from "crypto";
+import type { SocialPost, SocialUser } from "../schema";
+import { BaseAdapter, type AdapterConfig, type CollectionResult } from "./base";
+
+interface GrokSearchResult {
+  id: string;
+  text: string;
+  created_at: string;
+  author?: {
+    id: string;
+    username: string;
+    name?: string;
+    public_metrics?: { followers_count: number };
+    profile_url?: string;
+  };
+  public_metrics?: {
+    like_count: number;
+    retweet_count: number;
+    reply_count: number;
+  };
+  entities?: { hashtags?: Array<{ tag: string }> };
+}
+
+interface GrokSearchResponse {
+  results?: GrokSearchResult[];
+  data?: GrokSearchResult[];
+}
+
+/**
+ * Adapter for the xAI Grok API.
+ *
+ * Uses the Grok search API endpoint to retrieve recent social posts
+ * matching the configured topics.
+ *
+ * Required config keys: `apiKey`
+ * Optional config keys: `topics`, `maxPostsPerRun`
+ */
+export class GrokAdapter extends BaseAdapter {
+  readonly name = "grok";
+  readonly requiredConfigKeys = ["apiKey"];
+
+  private readonly baseUrl = "https://api.x.ai/v1";
+
+  async collect(config: AdapterConfig): Promise<CollectionResult> {
+    this.validateConfig(config);
+
+    const runId = randomUUID();
+    const startedAt = new Date().toISOString();
+    const posts: SocialPost[] = [];
+    const topics: string[] = (config.topics as string[]) ?? ["technology", "AI", "finance"];
+    const maxPosts = (config.maxPostsPerRun as number) ?? 100;
+
+    let error: string | undefined;
+
+    try {
+      for (const topic of topics) {
+        if (posts.length >= maxPosts) break;
+
+        const response = await axios.post<GrokSearchResponse>(
+          `${this.baseUrl}/search`,
+          {
+            query: topic,
+            max_results: Math.min(maxPosts - posts.length, 50),
+          },
+          {
+            headers: {
+              Authorization: `Bearer ${config.apiKey as string}`,
+              "Content-Type": "application/json",
+            },
+          }
+        );
+
+        const results: GrokSearchResult[] = response.data.results ?? response.data.data ?? [];
+        const collectedAt = new Date().toISOString();
+
+        for (const item of results) {
+          const author: SocialUser = {
+            platformId: item.author?.id ?? "unknown",
+            username: item.author?.username ?? "unknown",
+            displayName: item.author?.name,
+            profileUrl: item.author?.profile_url,
+            followerCount: item.author?.public_metrics?.followers_count,
+            platform: "grok",
+          };
+
+          posts.push({
+            platformId: item.id,
+            platform: "grok",
+            content: item.text,
+            author,
+            publishedAt: item.created_at,
+            collectedAt,
+            tags: [
+              topic,
+              ...(item.entities?.hashtags?.map((h) => h.tag) ?? []),
+            ],
+            likeCount: item.public_metrics?.like_count,
+            shareCount: item.public_metrics?.retweet_count,
+            commentCount: item.public_metrics?.reply_count,
+          });
+        }
+      }
+    } catch (err) {
+      error = err instanceof Error ? err.message : String(err);
+    }
+
+    return {
+      run: {
+        id: runId,
+        source: this.name,
+        startedAt,
+        finishedAt: new Date().toISOString(),
+        postsCollected: posts.length,
+        error,
+      },
+      posts,
+    };
+  }
+}
diff --git a/packages/collector/src/adapters/index.ts b/packages/collector/src/adapters/index.ts
new file mode 100644
index 0000000..62fc6fc
--- /dev/null
+++ b/packages/collector/src/adapters/index.ts
@@ -0,0 +1,54 @@
+import { BaseAdapter } from "./base";
+import { GrokAdapter } from "./grok";
+import { TwitterAdapter } from "./twitter";
+import { RedditAdapter } from "./reddit";
+
+export { BaseAdapter } from "./base";
+export type { AdapterConfig, CollectionResult } from "./base";
+export { GrokAdapter } from "./grok";
+export { TwitterAdapter } from "./twitter";
+export { RedditAdapter } from "./reddit";
+
+/** All built-in adapters, keyed by name */
+const BUILT_IN_ADAPTERS: readonly BaseAdapter[] = [
+  new GrokAdapter(),
+  new TwitterAdapter(),
+  new RedditAdapter(),
+] as const;
+
+/**
+ * Registry of adapters, allowing lookup by name and registration of custom adapters.
+ */
+export class AdapterRegistry {
+  private readonly adapters = new Map<string, BaseAdapter>();
+
+  constructor(adapters: readonly BaseAdapter[] = BUILT_IN_ADAPTERS) {
+    for (const adapter of adapters) {
+      this.register(adapter);
+    }
+  }
+
+  /** Register a new adapter or overwrite an existing one */
+  register(adapter: BaseAdapter): void {
+    this.adapters.set(adapter.name, adapter);
+  }
+
+  /** Retrieve an adapter by name; throws if not found */
+  get(name: string): BaseAdapter {
+    const adapter = this.adapters.get(name);
+    if (!adapter) {
+      throw new Error(
+        `Adapter "${name}" not found. Available adapters: ${[...this.adapters.keys()].join(", ")}`
+      );
+    }
+    return adapter;
+  }
+
+  /** List all registered adapter names */
+  list(): string[] {
+    return [...this.adapters.keys()];
+  }
+}
+
+/** Default singleton registry containing all built-in adapters */
+export const defaultRegistry = new AdapterRegistry();
diff --git a/packages/collector/src/adapters/reddit.ts b/packages/collector/src/adapters/reddit.ts
new file mode 100644
index 0000000..64c953f
--- /dev/null
+++ b/packages/collector/src/adapters/reddit.ts
@@ -0,0 +1,115 @@
+import axios from "axios";
+import { randomUUID } from "crypto";
+import type { SocialPost, SocialUser } from "../schema";
+import { BaseAdapter, type AdapterConfig, type CollectionResult } from "./base";
+
+interface RedditListing<T> {
+  data: {
+    children: Array<{ data: T }>;
+    after?: string;
+  };
+}
+
+interface RedditPost {
+  id: string;
+  title: string;
+  selftext: string;
+  url: string;
+  permalink: string;
+  author: string;
+  created_utc: number;
+  score: number;
+  num_comments: number;
+  subreddit: string;
+  link_flair_text?: string;
+}
+
+/**
+ * Adapter for the Reddit public API (no auth required for read-only access).
+ * Fetches hot/new posts from configured subreddits or search queries.
+ *
+ * Required config keys: none (public API; `apiKey` used as optional bearer token)
+ * Optional config keys: `topics` (treated as subreddit names), `maxPostsPerRun`
+ */
+export class RedditAdapter extends BaseAdapter {
+  readonly name = "reddit";
+  readonly requiredConfigKeys: string[] = [];
+
+  private readonly baseUrl = "https://www.reddit.com";
+
+  async collect(config: AdapterConfig): Promise<CollectionResult> {
+    const runId = randomUUID();
+    const startedAt = new Date().toISOString();
+    const posts: SocialPost[] = [];
+    const topics: string[] = (config.topics as string[]) ?? ["technology", "artificial", "finance"];
+    const maxPosts = (config.maxPostsPerRun as number) ?? 100;
+
+    const headers: Record<string, string> = {
+      "User-Agent": "KashCompiler/0.1.0 (data-collector)",
+    };
+    if (config.apiKey) {
+      headers["Authorization"] = `Bearer ${config.apiKey as string}`;
+    }
+
+    let error: string | undefined;
+
+    try {
+      for (const subreddit of topics) {
+        if (posts.length >= maxPosts) break;
+
+        const response = await axios.get<RedditListing<RedditPost>>(
+          `${this.baseUrl}/r/${subreddit}/hot.json`,
+          {
+            params: { limit: Math.min(maxPosts - posts.length, 100) },
+            headers,
+          }
+        );
+
+        const children = response.data.data.children;
+        const collectedAt = new Date().toISOString();
+
+        for (const child of children) {
+          const item = child.data;
+
+          const author: SocialUser = {
+            platformId: item.author,
+            username: item.author,
+            profileUrl: `https://www.reddit.com/user/${item.author}`,
+            platform: "reddit",
+          };
+
+          const content = item.selftext.trim() || item.title;
+
+          posts.push({
+            platformId: item.id,
+            platform: "reddit",
+            url: `https://www.reddit.com${item.permalink}`,
+            content,
+            rawContent: item.selftext,
+            author,
+            publishedAt: new Date(item.created_utc * 1000).toISOString(),
+            collectedAt,
+            tags: [subreddit, ...(item.link_flair_text ? [item.link_flair_text] : [])],
+            likeCount: item.score,
+            commentCount: item.num_comments,
+            metadata: { title: item.title, subreddit: item.subreddit },
+          });
+        }
+      }
+    } catch (err) {
+      error = err instanceof Error ? err.message : String(err);
+    }
+
+    return {
+      run: {
+        id: runId,
+        source: this.name,
+        startedAt,
+        finishedAt: new Date().toISOString(),
+        postsCollected: posts.length,
+        error,
+      },
+      posts,
+    };
+  }
+}
diff --git a/packages/collector/src/adapters/twitter.ts b/packages/collector/src/adapters/twitter.ts
new file mode 100644
index 0000000..15707d4
--- /dev/null
+++ b/packages/collector/src/adapters/twitter.ts
@@ -0,0 +1,132 @@
+import axios from "axios";
+import { randomUUID } from "crypto";
+import type { SocialPost, SocialUser } from "../schema";
+import { BaseAdapter, type AdapterConfig, type CollectionResult } from "./base";
+
+interface TwitterTweetData {
+  id: string;
+  text: string;
+  created_at?: string;
+  author_id?: string;
+  public_metrics?: {
+    like_count: number;
+    retweet_count: number;
+    reply_count: number;
+  };
+  entities?: { hashtags?: Array<{ tag: string }> };
+}
+
+interface TwitterUserData {
+  id: string;
+  username: string;
+  name: string;
+  public_metrics?: { followers_count: number };
+  profile_image_url?: string;
+}
+
+interface TwitterSearchResponse {
+  data?: TwitterTweetData[];
+  includes?: { users?: TwitterUserData[] };
+  meta?: { next_token?: string; result_count: number };
+}
+
+/**
+ * Adapter for the Twitter/X v2 API.
+ *
+ * Searches recent tweets for the configured topics using Bearer Token auth.
+ *
+ * Required config keys: `apiKey` (Bearer Token)
+ * Optional config keys: `topics`, `maxPostsPerRun`
+ */
+export class TwitterAdapter extends BaseAdapter {
+  readonly name = "twitter";
+  readonly requiredConfigKeys = ["apiKey"];
+
+  private readonly baseUrl = "https://api.twitter.com/2";
+
+  async collect(config: AdapterConfig): Promise<CollectionResult> {
+    this.validateConfig(config);
+
+    const runId = randomUUID();
+    const startedAt = new Date().toISOString();
+    const posts: SocialPost[] = [];
+    const topics: string[] = (config.topics as string[]) ?? ["technology", "AI", "finance"];
+    const maxPosts = (config.maxPostsPerRun as number) ?? 100;
+
+    let error: string | undefined;
+
+    try {
+      for (const topic of topics) {
+        if (posts.length >= maxPosts) break;
+
+        const response = await axios.get<TwitterSearchResponse>(
+          `${this.baseUrl}/tweets/search/recent`,
+          {
+            params: {
+              query: `${topic} lang:en -is:retweet`,
+              max_results: Math.min(maxPosts - posts.length, 100),
+              "tweet.fields": "created_at,public_metrics,entities,author_id",
+              "user.fields": "username,name,public_metrics,profile_image_url",
+              expansions: "author_id",
+            },
+            headers: {
+              Authorization: `Bearer ${config.apiKey as string}`,
+            },
+          }
+        );
+
+        const tweets = response.data.data ?? [];
+        const usersById = new Map<string, TwitterUserData>(
+          (response.data.includes?.users ?? []).map((u) => [u.id, u])
+        );
+        const collectedAt = new Date().toISOString();
+
+        for (const tweet of tweets) {
+          const twitterUser = tweet.author_id ? usersById.get(tweet.author_id) : undefined;
+
+          const author: SocialUser = {
+            platformId: twitterUser?.id ?? tweet.author_id ?? "unknown",
+            username: twitterUser?.username ?? "unknown",
+            displayName: twitterUser?.name,
+            profileUrl: twitterUser
+              ? `https://twitter.com/${twitterUser.username}`
+              : undefined,
+            followerCount: twitterUser?.public_metrics?.followers_count,
+            platform: "twitter",
+          };
+
+          posts.push({
+            platformId: tweet.id,
+            platform: "twitter",
+            content: tweet.text,
+            url: `https://twitter.com/i/web/status/${tweet.id}`,
+            author,
+            publishedAt: tweet.created_at ?? collectedAt,
+            collectedAt,
+            tags: [
+              topic,
+              ...(tweet.entities?.hashtags?.map((h) => h.tag) ?? []),
+            ],
+            likeCount: tweet.public_metrics?.like_count,
+            shareCount: tweet.public_metrics?.retweet_count,
+            commentCount: tweet.public_metrics?.reply_count,
+          });
+        }
+      }
+    } catch (err) {
+      error = err instanceof Error ? err.message : String(err);
+    }
+
+    return {
+      run: {
+        id: runId,
+        source: this.name,
+        startedAt,
+        finishedAt: new Date().toISOString(),
+        postsCollected: posts.length,
+        error,
+      },
+      posts,
+    };
+  }
+}
diff --git a/packages/collector/src/index.ts b/packages/collector/src/index.ts
new file mode 100644
index 0000000..9a72cb9
--- /dev/null
+++ b/packages/collector/src/index.ts
@@ -0,0 +1,3 @@
+export * from "./schema";
+export * from "./adapters";
+export { prisma, savePosts, createCollectionRun, finalizeCollectionRun } from "./orm";
diff --git a/packages/collector/src/orm/index.ts b/packages/collector/src/orm/index.ts
new file mode 100644
index 0000000..136ebc7
--- /dev/null
+++ b/packages/collector/src/orm/index.ts
@@ -0,0 +1,108 @@
+import { PrismaClient } from "@prisma/client";
+import type { SocialPost, CollectionRun, SocialUser } from "../schema";
+
+// Re-use the PrismaClient instance across hot reloads in development
+declare global {
+  // eslint-disable-next-line no-var
+  var __prisma: PrismaClient | undefined;
+}
+
+export const prisma: PrismaClient =
+  global.__prisma ??
+  new PrismaClient({
+    log: process.env.NODE_ENV === "development" ? ["query", "error", "warn"] : ["error"],
+  });
+
+if (process.env.NODE_ENV !== "production") {
+  global.__prisma = prisma;
+}
+
+// ─── Write helpers ───────────────────────────────────────────────────────────
+
+/** Upsert a SocialUser record, returning the database-internal ID */
+async function upsertUser(user: SocialUser): Promise<string> {
+  const record = await prisma.socialUser.upsert({
+    where: { platform_platformId: { platform: user.platform, platformId: user.platformId } },
+    create: {
+      platformId: user.platformId,
+      platform: user.platform,
+      username: user.username,
+      displayName: user.displayName,
+      profileUrl: user.profileUrl,
+      followerCount: user.followerCount,
+    },
+    update: {
+      username: user.username,
+      displayName: user.displayName,
+      profileUrl: user.profileUrl,
+      followerCount: user.followerCount,
+    },
+  });
+  return record.id;
+}
+
+/** Persist a collection run record (startedAt snapshot) */
+export async function createCollectionRun(run: CollectionRun): Promise<void> {
+  await prisma.collectionRun.create({
+    data: {
+      id: run.id,
+      source: run.source,
+      startedAt: new Date(run.startedAt),
+      finishedAt: run.finishedAt ? new Date(run.finishedAt) : undefined,
+      postsCollected: run.postsCollected,
+      error: run.error,
+    },
+  });
+}
+
+/** Update a collection run after completion */
+export async function finalizeCollectionRun(run: CollectionRun): Promise<void> {
+  await prisma.collectionRun.update({
+    where: { id: run.id },
+    data: {
+      finishedAt: run.finishedAt ? new Date(run.finishedAt) : new Date(),
+      postsCollected: run.postsCollected,
+      error: run.error,
+    },
+  });
+}
+
+/** Persist a batch of social posts, skipping duplicates */
+export async function savePosts(posts: SocialPost[], runId: string): Promise<number> {
+  let saved = 0;
+  for (const post of posts) {
+    try {
+      const authorId = await upsertUser(post.author);
+      await prisma.socialPost.upsert({
+        where: { platform_platformId: { platform: post.platform, platformId: post.platformId } },
+        create: {
+          platformId: post.platformId,
+          platform: post.platform,
+          url: post.url,
+          content: post.content,
+          rawContent: post.rawContent,
+          publishedAt: new Date(post.publishedAt),
+          collectedAt: new Date(post.collectedAt),
+          likeCount: post.likeCount,
+          shareCount: post.shareCount,
+          commentCount: post.commentCount,
+          tags: JSON.stringify(post.tags),
+          metadata: post.metadata ? JSON.stringify(post.metadata) : undefined,
+          authorId,
+          runId,
+        },
+        update: {
+          likeCount: post.likeCount,
+          shareCount: post.shareCount,
+          commentCount: post.commentCount,
+        },
+      });
+      saved++;
+    } catch {
+      // skip individual post errors to allow the rest of the batch to save
+    }
+  }
+  return saved;
+}
+
+export { PrismaClient };
diff --git a/packages/collector/src/runners/collect.ts b/packages/collector/src/runners/collect.ts
new file mode 100644
index 0000000..866163b
--- /dev/null
+++ b/packages/collector/src/runners/collect.ts
@@ -0,0 +1,76 @@
+/**
+ * Collection runner – intended to be invoked by GitHub Actions scheduled
+ * workflows or manually.
+ *
+ * Environment variables consumed:
+ *   DATABASE_URL        – SQLite path or PostgreSQL connection string
+ *   GROK_API_KEY        – xAI Grok API key
+ *   TWITTER_BEARER_TOKEN – Twitter/X v2 Bearer Token
+ *   REDDIT_API_KEY      – Reddit OAuth token (optional; uses public API if absent)
+ *   COLLECT_SOURCES     – Comma-separated list of adapters to run (default: all)
+ *   COLLECT_TOPICS      – Comma-separated list of topics/subreddits to collect
+ *   MAX_POSTS_PER_RUN   – Maximum posts per adapter per run (default: 100)
+ */
+
+import { defaultRegistry } from "../adapters";
+import { createCollectionRun, finalizeCollectionRun, savePosts } from "../orm";
+
+async function main(): Promise<void> {
+  const requestedSources = process.env.COLLECT_SOURCES
+    ? process.env.COLLECT_SOURCES.split(",").map((s) => s.trim())
+    : defaultRegistry.list();
+
+  const topics = process.env.COLLECT_TOPICS
+    ? process.env.COLLECT_TOPICS.split(",").map((t) => t.trim())
+    : undefined;
+
+  const maxPostsPerRun = process.env.MAX_POSTS_PER_RUN
+    ? parseInt(process.env.MAX_POSTS_PER_RUN, 10)
+    : 100;
+
+  const apiKeyBySource: Record<string, string | undefined> = {
+    grok: process.env.GROK_API_KEY,
+    twitter: process.env.TWITTER_BEARER_TOKEN,
+    reddit: process.env.REDDIT_API_KEY,
+  };
+
+  console.log(`[collect] Starting collection for sources: ${requestedSources.join(", ")}`);
+
+  for (const sourceName of requestedSources) {
+    let adapter;
+    try {
+      adapter = defaultRegistry.get(sourceName);
+    } catch (err) {
+      console.error(`[collect] ${(err as Error).message}`);
+      continue;
+    }
+
+    console.log(`[collect] Running adapter: ${sourceName}`);
+
+    const config = {
+      apiKey: apiKeyBySource[sourceName],
+      topics,
+      maxPostsPerRun,
+    };
+
+    const { run, posts } = await adapter.collect(config);
+
+    if (run.error) {
+      console.error(`[collect] Adapter "${sourceName}" encountered an error: ${run.error}`);
+    }
+
+    // Persist to database
+    await createCollectionRun(run);
+    const saved = await savePosts(posts, run.id);
+    await finalizeCollectionRun({ ...run, postsCollected: saved });
+
+    console.log(`[collect] ${sourceName}: collected ${posts.length} posts, saved ${saved}`);
+  }
+
+  console.log("[collect] Done");
+}
+
+main().catch((err: unknown) => {
+  console.error("[collect] Fatal error:", err);
+  process.exit(1);
+});
diff --git a/packages/collector/src/schema/analysis.ts b/packages/collector/src/schema/analysis.ts
new file mode 100644
index 0000000..033942d
--- /dev/null
+++ b/packages/collector/src/schema/analysis.ts
@@ -0,0 +1,51 @@
+/**
+ * Analysis result schema – output produced by the Rust analyzer
+ * and stored back into the ORM for downstream consumption.
+ */
+
+export type SentimentLabel = "positive" | "neutral" | "negative";
+
+export interface SentimentResult {
+  label: SentimentLabel;
+  /** Confidence score 0–1 */
+  score: number;
+}
+
+export interface TrendEntry {
+  /** Trend keyword or topic */
+  topic: string;
+  /** Number of posts mentioning this topic */
+  postCount: number;
+  /** Average sentiment across those posts */
+  avgSentiment: SentimentLabel;
+}
+
+export interface AlgorithmDecision {
+  /** Name of the algorithm that produced this decision */
+  algorithm: string;
+  /** LLM provider used (e.g. "grok", "openai") */
+  llmProvider?: string;
+  /** Human-readable summary of the decision */
+  summary: string;
+  /** Confidence score 0–1 */
+  confidence: number;
+  /** ISO-8601 timestamp */
+  decidedAt: string;
+  /** Arbitrary structured output from the algorithm */
+  payload: Record<string, unknown>;
+}
+
+export interface AnalysisResult {
+  /** Unique result identifier */
+  id: string;
+  /** Collection run that was analyzed */
+  collectionRunId: string;
+  /** ISO-8601 timestamp */
+  analyzedAt: string;
+  /** Per-post sentiment results keyed by platformId */
+  sentiments: Record<string, SentimentResult>;
+  /** Detected trends */
+  trends: TrendEntry[];
+  /** Decisions produced by the pluggable algorithms */
+  decisions: AlgorithmDecision[];
+}
diff --git a/packages/collector/src/schema/index.ts b/packages/collector/src/schema/index.ts
new file mode 100644
index 0000000..7c9a73f
--- /dev/null
+++ b/packages/collector/src/schema/index.ts
@@ -0,0 +1,2 @@
+export * from "./post";
+export * from "./analysis";
diff --git a/packages/collector/src/schema/post.ts b/packages/collector/src/schema/post.ts
new file mode 100644
index 0000000..531de79
--- /dev/null
+++ b/packages/collector/src/schema/post.ts
@@ -0,0 +1,58 @@
+/**
+ * Social media post schema – the core unit of collected data.
+ * Defined purely in TypeScript and mirrored in the Prisma ORM schema.
+ */
+export type SocialPlatform = "twitter" | "reddit" | "grok" | "unknown";
+
+export interface SocialUser {
+  /** Platform-local user identifier */
+  platformId: string;
+  username: string;
+  displayName?: string;
+  profileUrl?: string;
+  followerCount?: number;
+  platform: SocialPlatform;
+}
+
+export interface SocialPost {
+  /** Platform-local post identifier */
+  platformId: string;
+  platform: SocialPlatform;
+  /** Original URL of the post */
+  url?: string;
+  /** Plain-text content */
+  content: string;
+  /** Raw content as returned by the API (may include markdown, html, etc.) */
+  rawContent?: string;
+  /** Author information */
+  author: SocialUser;
+  /** ISO-8601 timestamp when the post was published */
+  publishedAt: string;
+  /** ISO-8601 timestamp when the record was collected */
+  collectedAt: string;
+  /** Topic/hashtag/subreddit context */
+  tags: string[];
+  /** Number of likes / upvotes */
+  likeCount?: number;
+  /** Number of reposts / shares */
+  shareCount?: number;
+  /** Number of comments / replies */
+  commentCount?: number;
+  /** Arbitrary extra metadata from the API */
+  metadata?: Record<string, unknown>;
+}
+
+export interface CollectionRun {
+  /** Unique run identifier */
+  id: string;
+  /** Source adapter name */
+  source: string;
+  /** ISO-8601 start time */
+  startedAt: string;
+  /** ISO-8601 end time (null while running) */
+  finishedAt?: string;
+  /** Number of posts collected in this run */
+  postsCollected: number;
+  /** Error message if the run failed */
+  error?: string;
+}
diff --git a/packages/collector/tsconfig.json b/packages/collector/tsconfig.json
new file mode 100644
index 0000000..2d60705
--- /dev/null
+++ b/packages/collector/tsconfig.json
@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.base.json",
+  "compilerOptions": {
+    "rootDir": "src",
+    "outDir": "dist"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist", "**/*.test.ts"]
+}
diff --git a/tsconfig.base.json b/tsconfig.base.json
new file mode 100644
index 0000000..91e5103
--- /dev/null
+++ b/tsconfig.base.json
@@ -0,0 +1,18 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "commonjs",
+    "lib": ["ES2022"],
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true
+  },
+  "exclude": ["node_modules", "dist"]
+}

From 98738b310b4b0d536037bb57c46fa64d0bd085df Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Tue, 7 Apr 2026 01:24:24 +0000
Subject: [PATCH 3/3] Address code review: log ORM errors, validate parseInt,
 fix GitHub Actions conditional

Agent-Logs-Url: https://github.com/CambrianTech/KashCompiler/sessions/05916574-c413-4002-ac11-34db03445aa1

Co-authored-by: joelteply <347104+joelteply@users.noreply.github.com>
---
 .github/workflows/collect.yml             | 13 ++++++++++++-
 packages/collector/src/orm/index.ts       |  8 ++++++--
 packages/collector/src/runners/collect.ts |  5 ++---
 3 files changed, 20 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/collect.yml b/.github/workflows/collect.yml
index 3ad9de5..3de3791 100644
--- a/.github/workflows/collect.yml
+++ b/.github/workflows/collect.yml
@@ -121,12 +121,23 @@ jobs:
         env:
           DATABASE_URL: ${{ env.DATABASE_URL }}
 
+      - name: Determine LLM provider
+        id: llm_provider
+        run: |
+          if [ -n "$GROK_API_KEY" ]; then
+            echo "provider=grok" >> "$GITHUB_OUTPUT"
+          else
+            echo "provider=none" >> "$GITHUB_OUTPUT"
+          fi
+        env:
+          GROK_API_KEY: ${{ secrets.GROK_API_KEY }}
+
       - name: Run analysis
         run: |
           ./target/release/analyzer \
             --input /tmp/posts.json \
             --output /tmp/analysis-result.json \
-            --llm ${{ secrets.GROK_API_KEY && 'grok' || 'none' }}
+            --llm ${{ steps.llm_provider.outputs.provider }}
         env:
           GROK_API_KEY: ${{ secrets.GROK_API_KEY }}
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
diff --git a/packages/collector/src/orm/index.ts b/packages/collector/src/orm/index.ts
index 136ebc7..9929644 100644
--- a/packages/collector/src/orm/index.ts
+++ b/packages/collector/src/orm/index.ts
@@ -98,8 +98,12 @@ export async function savePosts(posts: SocialPost[], runId: string): Promise<num
         },
       });
       saved++;
-    } catch {
-      // skip individual post errors to allow the rest of the batch to save
+    } catch (err) {
+      // Log individual post errors but continue saving the rest of the batch
+      console.error(
+        `[orm] Failed to save post ${post.platformId} (${post.platform}):`,
+        err instanceof Error ? err.message : String(err)
+      );
     }
   }
   return saved;
diff --git a/packages/collector/src/runners/collect.ts b/packages/collector/src/runners/collect.ts
index 866163b..b68ccfb 100644
--- a/packages/collector/src/runners/collect.ts
+++ b/packages/collector/src/runners/collect.ts
@@ -24,9 +24,8 @@ async function main(): Promise<void> {
     ? process.env.COLLECT_TOPICS.split(",").map((t) => t.trim())
     : undefined;
 
-  const maxPostsPerRun = process.env.MAX_POSTS_PER_RUN
-    ? parseInt(process.env.MAX_POSTS_PER_RUN, 10)
-    : 100;
+  const parsedMax = parseInt(process.env.MAX_POSTS_PER_RUN ?? "", 10);
+  const maxPostsPerRun = Number.isInteger(parsedMax) && parsedMax > 0 ? parsedMax : 100;
 
   const apiKeyBySource: Record<string, string | undefined> = {
     grok: process.env.GROK_API_KEY,