Image and video decision

Aifruit

A capable developer can reproduce the core generate-and-download flow and crediting in about a week, but the product's value relies on curated multi-model access, templates, and provider relationships which are nontrivial to match.

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Built by 两万焦, who ships 8 products in this index

You pay

$15/mo

$180/yr

Read off the official pricing page.

You’d pay instead

$100one-off40 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 Aifruit alternatives, with the arithmetic →

What a replacement has to do

  • Prompt/template selection → reserve credits → submit generation job to a video-generation API → store generated video and metadata → provide preview and download

What it still won’t have

  • Curated multi-model catalog and negotiated provider access/faster queues
  • Proprietary models, model-tuning, or any exclusive generation capabilities
  • Polished UI copy, templates, and brand trust
  • Built-in credit packs, billing UX, and customer support

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 4 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 AI short-video generation service using Next.js for the frontend, Node.js/Express for the backend, Postgres for accounting and job metadata, Redis + BullMQ for the job queue, and S3-compatible storage. Core features in scope: user sign-up (email), credit balance and consumption, template/prompt editor, submit generation job to one external video-generation API, async worker to fetch/store outputs, preview and download page, basic billing webhook stub, and error handling with retries. Out of scope: multi-model marketplace UI, complex template marketplace, advanced transcoding pipelines, and fine-tuning proprietary models. Include unit tests for backend routes, integration tests for job flow, observability (basic logs/metrics), and CI steps for deployment to a single VPS or small cloud instance.
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