[verdict][curated prompt][source: marketmaster.dev]
Can I vibecode MarketMaster?
// buildable in a weekend, but real gaps stay open
A solo campaign generator that scrapes one site and prompts an LLM for coordinated copy is a realistic weekend build. MarketMaster's paid value is the deeper research, multi-format media generation, deterministic quality gates, independent review, integrations, scheduling, and maintained publishing workflow.
confidence: medium
what it is: Turns a researched website into reviewed ads, social posts, video, and email campaigns
Buildability index · an editorial game
- Price 29 $/month weight: plus 3
- Time multi-day weight: plus 1
- Category seo and marketing no weight
- Moat integrations · execution quality weight: minus 2
- Confidence medium weight: zero
- What you lose 5 items weight: minus 2
- Site marketmaster.dev (si apre in una nuova scheda) no weight
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
Read one public website, extract a campaign brief, generate coordinated channel copy, review it, and export the approved package.
what you need
- LLM API key
- website text extraction
- SQLite
- hosted or local web app
The personal copy-generation loop is buildable; the production campaign system is where the subscription earns its keep.
The prompt
A weekend with a coding agent. The gaps that stay are right below, under “what you lose”.
Build me a personal AI campaign generator inspired by MarketMaster. Requirements:
- Use Node.js 22, Express, server-rendered HTML, and better-sqlite3.
- Run locally on port 4860 with no accounts, analytics, or telemetry.
- Accept one public website URL and fetch only same-domain HTML pages.
- Extract visible product, audience, pricing, proof, brand voice, and CTA text.
- Show the extracted campaign brief in an editable approval form before generation.
- Use one OpenAI or Anthropic model selected with variables in .env.
- Generate one campaign containing three ad concepts, five social posts,
one five-slide carousel outline, one short-video script, and one email.
- Keep every asset grounded in approved brief fields and flag unsupported claims.
- Add deterministic checks for missing proof, vague CTAs, generic hype, and
platform character limits; show warnings beside each affected asset.
- Let me edit, approve, and export the package as Markdown and JSON.
- Save briefs and campaigns in SQLite with created dates and approval status.
- Include fixture-based tests for extraction, claim flags, and exports.
- Secrets stay in .env and fetched page text stays on the local machine.
- Out of scope: image/video generation, multi-model review, OAuth integrations,
automatic publishing, scheduling, collaboration, billing, and hosted accounts.
- Include a README with setup, model costs, robots.txt etiquette, and limitations.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
- multi-model campaign review
- generated image and video assets
- live social and email integrations
- scheduled publishing and delivery history
- maintained ad-pattern and platform-limit references
Why people still pay
They pay to move from a website to a coordinated, reviewable, publish-ready campaign without maintaining research, media, validation, integration, and delivery infrastructure themselves.
moat: Integrations Execution quality what a moat is
workflow/research/integrations/quality control
Do you agree?
The vote balance
Ancora nessun voto: il tuo è il primo.
Nessun voto ancora — il primo pesa.
