AI-powered X/Twitter growth toolkit — autonomous content, analytics, and engagement.
Built on OpenClaw. Used by @ObsidianLabsAI to grow from 0 followers with fully autonomous AI agents.
| Tool | Description |
|---|---|
xpost |
Full X API CLI — tweet, reply, quote, search, follow, like, thread |
xqueue |
Tweet scheduler with 15-min cooldown between posts |
xanalytics |
Track followers, impressions, engagement day-over-day |
xscout |
Content discovery engine — finds high-engagement tweets in your niche |
xgrowth |
Growth tracker — what's working, strategy log, post-type performance |
xrecord |
Terminal demo recorder for polished content creation |
Plus: content playbook, dashboard template, cron job configs, and setup automation.
git clone https://github.com/jadye527/obsidian-growth-kit.git
cd obsidian-growth-kit
bash install.shThen edit ~/.config/x-api/keys.env with your X API credentials and run:
xpost whoami # Verify connection
xqueue add "Hello" # Queue your first post
xscout scan # Find content in your niche
xgrowth report # See what's workingFull guide: docs/QUICKSTART.md
┌─────────────────────────────────────────────────┐
│ Morning (8 AM) │
│ xanalytics snapshot → xscout scan → xqueue add │
│ Queue 4-5 posts, implement 1 new tactic │
├─────────────────────────────────────────────────┤
│ Throughout Day │
│ xqueue drip (every 15 min) → xpost mentions │
│ Reply to everything, like relevant content │
├─────────────────────────────────────────────────┤
│ Content Scout (4x daily) │
│ xscout opportunities → like viral tweets │
│ Queue reactive posts referencing trending topics │
├─────────────────────────────────────────────────┤
│ Nightly (10 PM) │
│ xgrowth report → analyze what worked │
│ Log strategy, queue tomorrow's posts │
└─────────────────────────────────────────────────┘
- Python 3.10+
- X Developer Account with API credits (developer.x.com)
- X Premium recommended ($8/mo) for 4x visibility boost
- OpenClaw (optional) for autonomous agent operations
See our dashboard: jadye527.github.io/obsidian-trading/dashboard.html
Watch the agent in action: Terminal Demo
MIT
- Product page: jadye527.github.io/obsidian-trading
- X: @ObsidianLabsAI
- Email: support@obsidian.jasoncdye.com