Discord Feed Bots 🤖

Automated feed system that posts daily AI/agent digests to Discord channels. Zero LLM tokens — just fetch, format, and webhook.

Feeds

Feed	What it does	Schedule
Reddit Digest	Top posts from AI subreddits (r/LocalLLaMA, r/ClaudeAI, r/ChatGPT, etc.)	Daily 7am MT
Trending Repos	Trending GitHub repos in the AI/agent space	Daily 7am MT
New AI Repos	New repos (<7 days old) with >100 stars	Daily 7am MT
Twitter/X	Trending AI threads via Twitter API v2	Daily 7am MT
Claude Code Releases	New version detection from npm registry	Every 6h
Weekly Trends	Clustered trend analysis using qdrant + ollama	Sundays 9am MT

Quick Start

bun install

# Run a single feed (outputs to stdout)
bun run feed reddit
bun run feed trending
bun run feed new-repos
bun run feed twitter
bun run feed claude-releases
bun run feed weekly-trends

# Run all feeds
bun run feed all

# Post directly to Discord via webhooks
bun run src/post.ts reddit
bun run src/post.ts all

Tools

Image Generation

bun run src/tools/image-gen.ts "your prompt here"

Uses Google AI (Gemini 3 Pro Image Preview). Outputs to /mnt/work/tmp/image-gen/.

Stem Splitting

bun run src/tools/stem-split.ts "artist - song name"

Downloads audio via yt-dlp, separates stems using UVR5 (audio-separator). Models stored at /mnt/work/models/audio-separator/.

Architecture

src/
  feeds/
    reddit-digest.ts        — Reddit JSON API (7 subreddits, score ≥ 50)
    github-trending.ts      — GitHub search API (AI/agent topics)
    new-ai-repos.ts         — GitHub search (created last 7 days, >100★)
    claude-code-releases.ts — npm registry version tracking
    twitter-ai.ts           — Twitter API v2 search/recent
    weekly-trends.ts        — qdrant + ollama pipeline
  tools/
    image-gen.ts            — Google AI image generation
    stem-split.ts           — UVR5 audio stem separation
  config.ts                 — All feed configuration
  utils.ts                  — Shared helpers
  index.ts                  — CLI entry point
  post.ts                   — Webhook posting to Discord

How It Works

1. Feeds scrape public APIs (Reddit, GitHub, Twitter, npm)
2. Filters apply score/age/relevance thresholds
3. Formatter outputs Discord-ready markdown
4. Poster sends to Discord channels via webhooks
5. Timers (systemd) trigger everything on schedule

No AI is used for the daily feeds — just HTTP requests and string formatting.

The weekly trends feed is the exception: it embeds posts with nomic-embed-text (ollama), clusters them in qdrant, and summarizes with glm-4.7-flash — all local, zero API cost.

Environment Variables

Copy .env.example to .env and fill in:

TWITTER_BEARER_TOKEN=...
QDRANT_URL=...
QDRANT_API_KEY=...
OLLAMA_HOST=http://localhost:11434
GOOGLE_AI_API_KEY=...
WEBHOOK_REDDIT=...
WEBHOOK_TRENDING=...
WEBHOOK_NEW_REPOS=...
WEBHOOK_CLAUDE_RELEASES=...
WEBHOOK_TWITTER=...
WEBHOOK_WEEKLY_TRENDS=...

Deployment

Runs as systemd user timers:

# Check timer status
systemctl --user list-timers | grep feed

# Manual trigger
systemctl --user start feed-bot-daily.service

# Logs
cat /tmp/feed-bot.log

Adding a New Feed

1. Create src/feeds/my-feed.ts exporting run(): Promise<string>
2. Add config to src/config.ts
3. Add to COMMANDS in src/index.ts
4. Add to FEEDS in src/post.ts with webhook env var
5. Create Discord webhook for the target channel
6. Add to systemd timer or create a new one

License

MIT