AI assistants and search decision
Depost AI
A capable developer can build a useful subset (post generation, bookmarks, scheduler, reply drafts) in about a week, but full feature parity — LinkedIn publishing, targeted prospect feeds, and the product's proprietary inspiration dataset — depends on platform integrations and curated data that are nontrivial to reproduce.
Visit website↗$39/mo
$468/yr
Read off the official pricing page.
$100one-off40 h to build
$60/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 2 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Create a post draft with an LLM, save/organize inspiration, schedule posts, and generate human-like replies/comments from context.
What it still won’t have
- Native LinkedIn publishing and in-account automation (no official LinkedIn integration or automatic posting)
- Targeted feeds with prospect tracking and relationship stage automation
- Priority support, roadmap access, and proprietary inspiration database of 100k+ viral posts
- Built-in browser extension and cross-platform smart-clip features
What remains hard
- Brand trust
Loved by 1,000+ creators
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 2 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 Depost-like web app using Next.js (React) + Postgres + Redis + Node worker; integrate OpenAI (or similar) for text generation. Core features in scope: user signup/login and subscription check; a rich text post editor that sends prompts to the LLM to generate/rewrite posts in a saved 'brand voice'; store bookmarks/inspiration with tags and search; a scheduler UI and background worker to mark posts as 'published' (no direct LinkedIn publishing) and run scheduled jobs; an API endpoint to generate humanized comments/replies from saved context. Out of scope: automatic publishing to LinkedIn, advanced targeted feeds/prospect tracking, and browser extension. Include error handling, rate-limit/backoff for the LLM, unit and integration tests for API endpoints, and a basic CI deployment manifest (Docker + one-click for a small VPS).
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score60
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 · 2
Every page the run actually retrieved.
- official productDepost AI - AI-Powered Lead Nurturing Tool for LinkedIn
- official pricingTier 2 · Limited spots — Depost AI pricing
Integrity checks
What held up, and what did not.
