SEO and marketing decision

MarketMaster

A focused self-hosted replacement that performs research, brief generation, evidence checks, and asset export is realistic for a single technical user in ~1 week; reproducing MarketMaster’s full multi-model review, high-volume media, and polished multi-platform publishing breadth is more involved and leans toward a paid product.

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Subscription$29/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $200
Evidence3/3 runs agree

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Research website → build Brand Kit → generate campaign brief and assets with LLMs → run automated evidence checks → export or publish assets

What it still won’t have

  • High-volume built-in AI media caps (images/videos) and managed media pipelines
  • Multi-model independent review (Anthropic + OpenAI/Google) guarantee without additional API spend
  • Built-in integrations breadth and per-platform publishing polish (carousels, reels, provider-specific formats)
  • Operational monitoring and strategic product reviews included in Studio plan

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 8 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 MarketMaster-style Ad Studio using FastAPI (backend), React (frontend), Postgres (data), Redis (jobs), and OpenAI/Anthropic (LLM) plus a generative-image/video API. In scope: website crawler & HTML parsing to extract product/pricing/proof/logo/colors; Brand Kit creation and storage; one guided Studio UI implementing Source → Brief → Ad pattern → Create → Review → Export; LLM-based asset generation for static ads and platform-specific copy; an Evidence Engine that re-checks claims against crawled pages and blocks publishing on fail; export to ZIP and a single-platform publish adapter (e.g., post to X via OAuth). Out of scope: multi-model reviewer redundancy beyond one reviewer, high-volume managed media pipelines, and agency-level analytics. Include error handling, retryable background jobs, API usage rate-limiting, and unit + integration tests for the core flows.
How we checked2 sources · 3/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score60

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 · 2

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