Social media decision

Marky

A technical user can build a useful subset (generation, templating, scheduling to one platform) in about a week using existing APIs and OSS prior art, but reproducing Marky's full multi-platform integrations, polished templates, analytics, and claimed proprietary AI training would be heavy and better left to the vendor.

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Subscription$39/month ✓ verified
Initial build40 hours
Monthly upkeep6 hours + $100
Evidence3/3 runs agree

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 Marky alternatives, with the arithmetic →

What a replacement has to do

  • Generate on-brand posts from a website/brand profile, create visuals with templates, schedule posts, publish to social APIs, and provide a basic calendar/editor UI.

What it still won’t have

  • Polished, designer-made template library and UI polish
  • Out-of-the-box multi-platform integrations (Marky lists 7 platforms)
  • Advanced features: reputation management, whitelabeled client portals, approval workflows
  • Scale, reliability, and commercial support

What remains hard

  • Brand trust200K+ businesses | 3x more reach | 5hr+ saved/week
  • Proprietary modelsMarky's AI is trained on high-performing content across industries.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper 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 AI social media manager using Next.js (React) for the frontend, Node.js/Express for the backend, PostgreSQL for data, and Redis for job queueing. Integrate: (1) a website scraper (Puppeteer) to extract brand colors, logo, and key copy; (2) an LLM API (OpenAI-compatible) to generate captions and post ideas using the stored brand profile; (3) a templating engine that fills reusable SVG/HTML templates and renders images (headless Chromium); (4) a scheduler worker that enqueues and posts to one social API (implement Facebook/Instagram Graph API) with retries and status tracking. In scope: user auth (email/password), one workspace model, post editor, content calendar view, draft and publish flows, Postgres schemas, background jobs, and basic logging. Out of scope: multi-platform connectors beyond the one implemented, whitelabel portal, advanced analytics, and reputation management. Provide error handling, input validation, tests for core flows (brand extraction, generation, scheduling, publishing), and Docker compose for local deployment.
How we checked4 sources · 3/3 runs agreed · evidence score 64

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.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page