Legit.Show — every launched service, tested

A directory of launched web apps, SaaS, AI tools, MCP servers and developer tools. Every listing carries an objective 7-Frame production-readiness benchmark — measured deterministically from the public surface, showing exactly what was observed. Never a black-box verdict.

What we measure — the 7 Frames

Each service is scored 0–100 on seven frames, from the public surface (URL · HTTP headers · real Lighthouse), so even closed-source SaaS is fully assessable:

Open-source repos additionally get a deeper code teardown (tests · CI · license · error tracking · MCP auth surface). No LLM in the scoring path — deterministic and reproducible.

Is a tool production-ready?

That's the question Legit.Show answers with evidence. Each service page leads with its overall score, the per-frame breakdown, and exactly what we observed — so "is this legit?" has a citable, reproducible answer instead of star ratings alone.

Data reports — "according to Legit.Show"

Periodic, reproducible reports mined from the catalog, each with a stated sample and open methodology. Browse the reports →

For makers

Add your service: paste a URL, verify the domain, and it's listed with its benchmark. Everything is public — measured from public surfaces, with exactly what we saw. About Legit.Show →

Why we exist

Take a vibe-coded MVP and show it the road to production-ready. Errors first, score second.

Methodology: /methodology · Reports: /reports · About: /about · Machine-readable summary: /llms.txt

Legit.Show benchmarks every launched service it lists — measured deterministically from the public surface. See the methodology →

Cross-links · Directory · Reports · Methodology · About

Privacy · Terms · operated by Madeflo Inc., a Delaware corporation. Benchmark engine powered by commit.show.

the citation gap · 2026 edition

The Discoverability Gap · 2026

AI answer engines now send the traffic search used to. We checked whether 1000 launched web apps, SaaS and AI tools are even built to be found and cited by them — most aren’t.

49%
ship with no structured data
across 1000 web apps we measured · according to Legit.Show · 2026

The findings

How citable is each page

By category

Why this is the new SEO

Answer engines — ChatGPT, Claude, Perplexity, Google AI Overviews — increasingly answer *for* the user instead of sending a list of blue links. To be the source they cite, a page has to be machine-readable: structured data that says what it is, a canonical URL, a clean OpenGraph card, a real meta description. We call building for that AEO (answer-engine optimization) and GEO (generative-engine optimization). This measures how ready the catalog is for it.

What this measures

Public-surface discoverability signals any crawler sees: schema.org structured data, canonical link, OpenGraph image, meta description, and a sitemap — a share of 1000 tested web services as of 2026-06-29. Hygiene for being cited, not a ranking guarantee.

The invisible majority

17% carry two or fewer of the seven signals — effectively invisible to an AI that’s deciding what to cite. 49% ship with no structured data at all, the single signal that tells an engine what the page *is*. It isn’t hard to fix — it’s the unglamorous last 10% a demo never forces you to add.

Sample composition

Not a random sample — this is what we measured. The mix below is the caveat; judge it for yourself.

What we measured (1000)

The full list, so anyone can spot-check. Every item links to its public benchmark.

How this was measured →