StackScope – I crawled over 40k indie launches to see what they ship
Hey all, I built StackScope, a crawler/catalogue that looks at new product launches and shows what they were built with.It watches launches from Product Hunt, Show HN, and PeerPush, then crawls the public site behind each one. The goal is to show what people actually launched with: hosting, frameworks, analytics, DNS, security headers, legal pages, AI-builder signals, and other public clues.I started building it because most stack-detection sites look at the web as a whole. I was more interested in the current indie launch scene: what people are choosing right now, at the point they first put something in public.A few implementation details: it runs on .NET, uses Playwright for rendered pages, and has a first-party fingerprint catalogue rather than one copied from Wappalyzer/etc. robots.txt is honoured, and the bot identifies itself.Frustratingly, I am still waiting for verified bot status from Cloudflare and currently that knocks out about 10% of all sites.There is also a private readiness check: paste a URL, get the same style of report, fix things, and recrawl. No account or email needed.I'd be interested in feedback on the usefulness of this, the methodology, and any obvious false positives.Jonathan.
FL score
out of 100
Verdict
high confidence
Competition
No competitor data yet
Trend
No signal yet
A technical stack detector for indie launches that shows what tools founders actually choose at launch time, not what the broader web uses.
The pain
The gap
Build angle
Strengths
- Solves a real, specific problem for a defined audience (indie builders)
- Technical execution is solid: custom fingerprinting, respects robots.txt, proper bot identification
- Data source is clean and curated (Product Hunt, Show HN, PeerPush) vs. noisy web-wide crawls
- Private readiness check feature adds utility and could drive engagement
- 40k+ launches already crawled provides immediate value and proof of concept
Risks
- Cloudflare blocking (10% of sites) will grow as more sites use it; needs verified bot status or alternative approach
- Unclear monetization: is this a free reference tool or paid product? No pricing model mentioned
- Limited TAM if only indie builders use it; B2B potential (selling to tool vendors, agencies) untested
- Fingerprinting accuracy directly determines product quality; false positives erode trust quickly
- Competitive risk from Wappalyzer or similar tools adding indie-specific filtering
- Network effects are weak; value doesn't increase with more users
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
Semble – Code search for agents that uses 98% fewer tokens than grep
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Postgres extension for BM25 relevance-ranked full-text search
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AI
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