Syllab.in
Syllab is India's free AI learning platform for Class 1 to 12. NCERT chapter practice, JEE & NEET mock tests, daily challenges, formula bank, diagram lab, skills lab and AI tutor — all free.
Estimated origin: India
Added May 27, 2026
· Last analysed May 27, 2026 · via 
· 75% unique tagline
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 27 May 2026; the live site may have changed since.
Syllab.in ships with the launch fundamentals in place, with complete legal pages, a complete set of security headers, and a thorough launch checklist. What needs work: incomplete email security.
Launched on Product Hunt on May 27, 2026. The site is served through Fastly, with a domain registered 4 weeks before launch. The crawl picked up 13 technologies on this site, covering auth, baas, CDN, and CSS frameworks. The stack includes Google Sign-In, Tailwind CSS, and Fastly.
For context, it's running the same core stack as 5,950 other launches and tighter on security headers than most Product Hunt launches.
If you own this site, refresh the snapshot and see the full fix list any time →
Tech Stack (13) · Indie stack
| CDN |
Fastly
|
| DNS |
GoDaddy DNS
|
| Protocol | HTTP/3 |
| Security | HSTS |
| Transactional email |
Resend
|
| Auth |
Google Sign-In
|
| BaaS |
Firebase
(3)
|
| CSS framework |
Tailwind CSS
|
| Developer tools |
Vite
|
| Font |
Google Fonts
|
| Media | Pixabay |
| SEO |
Google Search Console
|
| SaaS |
Zoho
|
Infrastructure
Email Security
Storage (2)
| Database | Version | Detected as |
|---|---|---|
| firebase-heartbeat-database | 1 | Firebase |
| firebaseLocalStorageDb | 1 | Firebase |
Readiness Breakdown How?
Vibe Score Breakdown How?
| Signal | Points |
|---|---|
| AI onboarding signals | +5 |
| AI palette signals | +5 |
| AI writing signals | +5 |
| AI iconography 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.