- name
- dropspace-content-engine
- description
- Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts, reddit threads), schedules via Dropspace API. Gets smarter every night — each cycle learns from real engagement data. Use when asked to set up autonomous content posting, run the content engine, or manage multi-platform social media automation.
- homepage
- https://www.dropspace.dev/community/dropspace-content-engine
- source
- https://github.com/joshchoi4881/dropspace-agents
- metadata
Dropspace Content Engine
Fully autonomous content pipeline. Every night: pull analytics → identify winning hooks → generate new posts → schedule across 6 platforms. The feedback loop compounds — each cycle produces better content because it learns from real engagement data.
Setup
1. Clone and install
git clone https://github.com/joshchoi4881/dropspace-agents && cd dropspace-agents && npm installIf canvas fails to install, that's fine — text-only formats still work. For visual formats (TikTok/Instagram slideshows): macOS brew install pkg-config cairo pango, Linux apt install libcairo2-dev libpango1.0-dev, then npm install again.
2. Run the setup wizard
node setup.js --template dropspace-content-engineWalks you through API keys, platform selection, and app configuration.
3. Set your API keys
export DROPSPACE_API_KEY="ds_live_..." # from dropspace.dev/settings/api
export ANTHROPIC_API_KEY="sk-ant-..." # from console.anthropic.com
export FAL_KEY="fal_..." # from fal.ai (for visual/video formats)Save in a .env file (copy from templates/.env.example). Add .env to .gitignore to avoid committing secrets.
4. Validate
node scripts/test-pipeline.js --app myappRun the Pipeline
source .env
# Analyze performance + generate new posts
node scripts/run-self-improve-all.js --app myapp
# Schedule generated posts for today
node scripts/schedule-day.js --app myappAutomate Nightly
| Time (ET) | Script | What |
|---|---|---|
| 12:00 AM | scripts/refresh-tracking.js --all + scripts/cleanup-posts.js --all | Refresh analytics, clean old media |
| 12:30 AM | scripts/run-x-research.js --app myapp | Scan X for trending hooks (optional, needs Bird CLI) |
| 1:00 AM | scripts/run-self-improve-all.js --app myapp | Analyze + generate (up to 60 min) |
| 2:00 AM | scripts/schedule-day.js --app myapp | Schedule for today |
What Happens Each Run
- Pulls 14 days of analytics from Dropspace API
- Identifies winning hooks (posts with >2x average engagement)
- Cross-references with X/Twitter research signals
- Generates 7-14 new posts with AI (text, visual, video formats)
- Fact-checks any claims about people, products, or events
- Writes strategy notes that persist between runs (the loop compounds)
- Schedules posts across the day via Dropspace API
Content Formats
| Format | Type | Platforms |
|---|---|---|
| story-slideshow | visual | TikTok, Instagram, Facebook |
| ugc-reaction | video | TikTok, Instagram |
| text-single | text | Twitter/X |
| text-post | text | LinkedIn, Reddit, Facebook |
Links
- Community page: https://www.dropspace.dev/community/dropspace-content-engine
- Case study: https://www.dropspace.dev/case-studies/march-2026
- Repo: https://github.com/joshchoi4881/dropspace-agents
- Dropspace API docs: https://www.dropspace.dev/docs