Social media decision
Followr
A capable technical user can build a useful, self-hosted replacement for core scheduling and LLM-assisted captioning in about a week; larger features and polish explain the commercial product's value.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Followr alternatives, with the arithmetic →
What a replacement has to do
- Create, schedule, and publish social posts with LLM-assisted caption generation and basic analytics.
What it still won’t have
- Polished, production-hardened UX and onboarding flows
- Deep integrations and broad platform coverage (enterprise connectors)
- Advanced analytics and historical reporting
- Team/permission workflows and account management
- Commercial SLA, uptime guarantees, and product support
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Followr does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hostable lightweight AI social media scheduler using Node.js (Express) + Postgres + React. Core features in scope: OAuth connectors for 2–3 platforms, LLM caption/hashtag generation via an external model API, post create/edit UI with media upload, scheduling metadata stored in Postgres, a background worker to publish via platform APIs with retry logic, and a simple dashboard showing publish status and recent engagement. Out of scope: team permissions, enterprise connectors, long-term analytics. Include error handling, logging, unit tests for API endpoints, and deployment scripts (Docker + simple cloud VM).
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score90
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productFollowr - AI Social Media Management Platform
- open sourcebrightbeanxyz/brightbean-studio
- open sourcegitroomhq/postiz-app
Integrity checks
What held up, and what did not.
