Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

StackScope

I crawled over 40k indie launches to see what they ship

Details

External ID
48505364
Source
HN
Company
—
Product
StackScope
Website domain
stackscope.dev
Launched
June 12, 2026
Cohort
—
Upvotes
67
Upvotes percentile
0.8763661202185792
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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.

Enrichment

Theme
indie hacker passion projects
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
indie launch analysis and insights
Manually corrected
False

Could you build this?

Partial The front-end directory and technographic lookup UI are basic, but maintaining a resilient, distributed crawler that continuously scans tens of thousands of launch sites and performs technographic fingerprinting requires significant data pipeline infrastructure.

What it would actually take: The system requires a distributed scraping queue (e.g., Celery, BullMQ, or Temporal), headless browser workers (Playwright/Puppeteer) with proxy rotation, and a signature-matching engine (similar to Wappalyzer). Hard problems include dodging bot blocks, parsing dynamically rendered SPAs reliably at scale, and cataloging tens of thousands of tech signatures accurately.

Discussion

20 comments analyzed.

Competitors mentioned: Bolt.new, Claude Code, Vercel, Cloudflare Pages

Concerns raised: False positives in detection (e.g., AI builder signatures), Misclassification of backend frameworks (Laravel detected as React/Vue), Cloudflare blocking/CDN hiding affecting accuracy, CSS and JS files returning corrupted content errors, Industry fragmentation with too many "unique" technologies tracked

Feature requests: Vibe score trend over time visualization, Analysis for StackScope itself visible, Market category/domain/application filtering, HSTS preload list checking, Better differentiation of hosting (Cloudflare Pages vs CDN detection)

Competitors

Other products that read as similar to this one — 162 launches clear the similarity bar, closest 8 shown.

Attention rank: #22 of 163 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 224 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.