NerdSip - Microlearning App
NerdSip is the AI learning app that creates custom micro-courses on any topic in seconds. Gamified streaks, RPG elements, and 5-minute lessons for curious minds.
StackScope is a free public catalogue of indie launches. We find launches on Product Hunt, Hacker News and similar feeds, then crawl each site to detect its tech stack and score it for launch readiness: DNS, security headers, SEO basics. This page is what we saw on 29 June 2026; the live site may have changed since.
NerdSip - Microlearning App ships with the launch fundamentals in place, with complete legal pages, a complete set of security headers, and a thorough launch checklist. Worth fixing first: incomplete email security.
Launched on Product Hunt on June 29, 2026. The site is served through Cloudflare, with a domain registered 6 months before launch. Our crawler found 23 technologies on this site, covering directory, javascript library, security, and seo. The stack includes Tailwind CSS, Bob's Tech Review, and Cloudflare.
It's also running the same core stack as 5,215 other launches and tighter on security headers than most Product Hunt launches.
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Tech Stack (23)
| CDN |
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| DNS |
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| Security |
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| HSTS |
| Business email |
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| Transactional email |
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| BaaS |
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| CSS framework |
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| Developer tools |
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| JavaScript library |
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| UI library |
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| Video |
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| Analytics |
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| Marketing |
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| SEO |
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| Social proof |
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| Tag management |
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| Directory |
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Infrastructure
Email Security
Storage (4)
| Name | Lifetime | Detected as |
|---|---|---|
| cf_clearance | 12mo | Cloudflare |
| __cf_bm | < 1h | Cloudflare |
| Key | Size | Detected as |
|---|---|---|
| landing-variant | 7 B | - |
| lang-pref-set | 1 B | - |
Readiness Breakdown How?
Performance How?
⚠ 29 images: 22 oversized, 21 without width/height, 23 missing alt text
Indicative grade from a single automated render, not a substitute for Lighthouse or field data, and not part of the StackScope score.
Vibe Score Breakdown How?
| Signal | Points |
|---|---|
| AI palette signals | +5 |
This score is based on structural patterns and is not definitive. Many legitimate sites may trigger signals, and AI-built sites may go undetected. It should be treated as an indicator, not a verdict.
