Social media decision

contant.io

A capable developer can build a useful LinkedIn post generator-and-scheduler; replicating the full polished product, UX, and analytics feature set is more work, so building a narrower replacement is realistic.

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You pay

$11/mo

$132/yr

Read off the official pricing page.

You’d pay instead

$100one-off34 h to build

$40/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 5 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 contant.io alternatives, with the arithmetic →

What a replacement has to do

  • Generate AI-written LinkedIn posts from prompts or files, schedule them to LinkedIn, and view basic performance metrics.

What it still won’t have

  • Polished UI/UX and onboarding flows
  • Any proprietary engagement-list features and saved templates
  • Scale-tested reliability and polished scheduling edge-cases
  • Brand trust, community proofs, and built-in credit management

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

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

Not run yet
Build a self-hosted LinkedIn post generator-and-scheduler using Node.js (Express) + React, PostgreSQL, Redis, and a worker (BullMQ). Core features in scope: user signup and LinkedIn OAuth, user-configured OpenAI API key storage (encrypted), endpoints to generate post text from topic/image/PDF via OpenAI, create/edit scheduled posts, worker to publish to LinkedIn at scheduled times, fetch and display basic post metrics. Out of scope: multi-tenant billing, advanced analytics or engagement-list UIs, mobile apps. Include error handling, retries for failed publishes, logging, and unit/integration tests for API endpoints and the scheduler worker.
How we checked4 sources · 3/3 runs agreed · evidence score 67

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
  • Evidence score67

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.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded