Social media decision
Postgetti
A single developer can build core post-generation, scheduling, and simple auto-reply automation in a few weeks, but matching the vendor's claimed proprietary dataset, managed services, polish, and reliability is not realistic.
Visit website↗Built by Kevin Lee, who ships 3 products in this index
$19/mo
$228/yr
Read off the official pricing page.
$100one-off52 h to build
$50/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 4 seats.
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 Postgetti alternatives, with the arithmetic →
What a replacement has to do
- Generate LinkedIn posts with an LLM; store posts and schedule metadata in a database; publish scheduled posts to LinkedIn (API or browser automation); run an agent to auto-reply to comments; basic analytics/dashboard to view impressions and engagement.
What it still won’t have
- Proprietary training dataset of 120,000+ viral posts
- Managed / Done-for-you agency service and priority support
- Any bespoke fine-tuning or internal prompt engineering claimed by vendor
- Polished UX, onboarding, and reliability guarantees of the paid product
What remains hard
- Proprietary data
Trained on over 120,000+ viral posts, Postgetti’s AI writes with proven winning content writing formats.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
Time you would spend
—
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 minimal self-hosted Postgetti-like service using Next.js (React) for the frontend, Node.js/Express backend, Postgres for storage, Redis or cron for scheduling, and OpenAI (or other LLM) for generation. Implement: (1) authenticated web UI to create/edit post prompts and view scheduled posts; (2) LLM-driven post generation with configurable prompt templates; (3) persistent storage of drafts, schedules, and engagement metrics; (4) scheduler that publishes posts to LinkedIn via the LinkedIn API or, where API access is unavailable, a headless browser automation fallback (Puppeteer/Playwright); (5) a comment-watcher that fetches new comments and generates auto-replies via LLM; (6) basic analytics (counts of posts, scheduled posts, replies sent). Out of scope: team/multi-account billing, advanced analytics dashboards, managed agency services, and building a proprietary viral-post dataset. Include error handling, retries for network failures, logging, and automated tests for core flows (generation, scheduling, publishing, and reply sending).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score64
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 · 4
Every page the run actually retrieved.
- official productPostgetti — homepage
- official pricingPostgetti — pricing on homepage
- open sourcebrightbeanxyz/brightbean-studio
- open sourcegitroomhq/postiz-app
Integrity checks
What held up, and what did not.
