Social media decision

AuthoredUp

Build — a competent engineer can replicate the core editor, extension-assisted scheduling and analytics over a few months; AuthoredUp's value is product polish, team features and a closed beta AI which are harder to match but not fundamental moats.

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You pay

$19.95/mo

$239/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$50/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 3 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 AuthoredUp alternatives, with the arithmetic →

What a replacement has to do

  • Compose and format a post in an editor, save as draft, schedule/publish to LinkedIn via a Chrome extension, collect post and engagement metrics, surface analytics and reuse suggestions.

What it still won’t have

  • Chrome-extension polish and edge-case handling for LinkedIn UI changes
  • Refined AI coauthor that learns individual voice (closed beta feature)
  • Enterprise/team features such as organization billing, roles and invoicing flows
  • Polished onboarding, documentation and support responsiveness

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 3 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 minimal self-hosted LinkedIn content studio (Next.js frontend + React for extension UI, Node/Express backend, Postgres DB, Redis for jobs) that supports: 1) a rich-text editor with bold/italic/emoji and preview, 2) drafts and unlimited snippets library, 3) calendar view with scheduling and reminder emails, 4) a Chrome extension that injects editor into LinkedIn and executes scheduled publishes via the user's session, 5) a collector flow (extension-assisted + manual import of LinkedIn archive) to ingest historical posts and metrics, and 6) basic analytics (impressions, reactions, engagement rate, best time heatmap, top posts and one-click reuse). Out of scope: paid billing, enterprise SSO, advanced AI voice-learning, and multi-tenant invoicing. Include error handling for LinkedIn UI changes, retry logic for publishes/collects, automated tests for backend endpoints and scheduler, and CI deployment scripts to a VPS (DigitalOcean) with secure environment config.
How we checked5 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

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 · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded