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[verdict][curated prompt][source: socialfaktory.com]

Can I vibecode SocialFaktory?

// buildable in a weekend, but real gaps stay open

The generation half is honest API glue: script writing is an LLM call and the video itself comes from hosted model APIs (fal.ai and friends), so a personal brief-to-video pipeline is very buildable · but you pay those per-generation model invoices yourself either way. The publishing half is the same wall every scheduler hits: TikTok, Instagram, and YouTube OAuth apps are review-gated for weeks, which is why SocialFaktory itself publishes through Postiz. The honest DIY is a generation script feeding a self-hosted Postiz, and what's left over is the tuned prompt pipelines, the QA pass, and someone else eating the platform-review pain.

confidence: high

what it is: Turns a text brief into a finished short video with AI actors and voices, then posts it to your social channels

Buildability index · an editorial game

Indice: plus 1. a toss-up

They cancel out. This is where it comes down to how much the subscription annoys you.

Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.

What you build

Turn a text brief into a script and a rendered short video via hosted AI model APIs, then queue and publish it through a self-hosted Postiz.

what you need

  • Anthropic or OpenAI API key for scripts
  • video-generation API key (fal.ai or similar)
  • self-hosted Postiz for the platform OAuth and publishing
  • always-on box

Submitted by the founder · the publishing half really is Postiz under the hood, so start there.

The prompt

A weekend with a coding agent. The gaps that stay are right below, under “what you lose”.

One-shot prompt EN
Build me a personal AI video factory to replace SocialFaktory. Requirements:

- Node + Express + better-sqlite3; a localhost dashboard with a brief form
  (topic, tone, target duration) and a queue of generated videos.
- Script step: send the brief to the Anthropic API and get back a hook line,
  a spoken script, and a visual prompt; keep the system prompt in
  prompts/script.txt so I can tune it without touching code.
- Video step: submit the visual prompt to fal.ai's queue API for a
  text-to-video model with native audio, poll until done, download the mp4
  into media/ and record the actual dollar cost per generation in the DB.
- Review page: each finished video gets a player plus approve, regenerate,
  and discard buttons; nothing publishes without an explicit approve.
- Publish step: on approve, POST the video and caption to my self-hosted
  Postiz via its public API (POSTIZ_URL and POSTIZ_API_KEY in .env) with a
  scheduled time · Postiz owns the platform OAuth; never call TikTok,
  Instagram, or YouTube APIs directly.
- A node-cron tick retries failed generations 3 times with backoff and marks
  rows before submitting so nothing ever double-bills.
- A running-costs box on the dashboard summing this month's model spend.
- Out of scope: multi-brand workspaces, teams, analytics, auto-QA, and any
  direct platform integrations (say so in the README).
- README: getting the two API keys, pointing at a Postiz instance, and what
  a single video roughly costs to generate.

Curated prompt: written and reviewed by hand for this app. In English on purpose — it is the language coding agents work best in.

What you lose

  • pre-approved platform OAuth apps (TikTok/Instagram/YouTube reviews take weeks)
  • prompt pipelines tuned per model, format, and tone
  • an automated QA pass before anything ships
  • multi-brand workspaces and a scheduling calendar
  • a flat bill · DIY pays every model invoice directly, and video models are not cheap

Why people still pay

Video model APIs churn monthly (pricing, quality, aspect-ratio quirks, content filters) and social platforms churn their publishing rules just as fast; the subscription outsources both treadmills. The flat price also converts unpredictable per-second video generation invoices into one known number, and the platform OAuth apps arrive pre-approved instead of after weeks of app review.

moat: Integrations Execution quality what a moat is

platform-review pain + tuned generation pipelines

Who has already built it

Starting from here is still vibecoding: the prompt is for when you want it exactly your way.

Do you agree?

The vote balance

Ancora nessun voto: il tuo è il primo.

Nessun voto ancora — il primo pesa.

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