YouTube Comments Exporter by Veerexa
Extract, analyze, and export all YouTube comments in seconds. Zero server-side wait, pure browser intelligence.
Added July 11, 2026
· Last analysed July 11, 2026 · via 
StackScope records what new websites are built with, the week they launch. Most we find ourselves, by watching public internet infrastructure for brand-new sites; the rest come from Product Hunt, Hacker News and PeerPush. We crawled this one for its tech stack and scored it for launch readiness: DNS, security headers, SEO basics. This page is what we saw on 11 July 2026; the live site may have changed since.
Every technology below links to its own page: which other new sites launched with it. Vendors and agencies watch those pages with Stackdar and hear about new adopters the week they ship, from £15 a month.
YouTube Comments Exporter by Veerexa scores highly overall, with a thorough launch checklist and clean crawl signals. Main gaps: missing Permissions-Policy and Content-Security-Policy, incomplete legal pages, and incomplete email security.
Launched on Product Hunt on July 11, 2026. The site is hosted on Hostinger and served through Cloudflare, with a domain registered in 2025. The crawl picked up 17 technologies on this site, covering javascript library, package cdn, backend framework, and CDN. The stack includes Stimulus, Tailwind CSS, and ApexCharts.
For context, it's one of just 2 launches we've crawled on this exact stack and more locked down than the typical Product Hunt launch.
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Tech Stack (17)
| CDN |
Cloudflare
|
| DNS |
Hostinger DNS
|
| Hosting |
Hostinger
|
| Security | HSTS |
| Business email |
Hostinger Email
|
| CSS framework |
Tailwind CSS
|
| Font |
Google Fonts
|
| Framework |
Stimulus
medium
|
| Icon font |
Font Awesome
|
| JavaScript library |
ApexCharts
|
Fabric.js
(2)
|
|
flatpickr
|
|
Hotwire Turbo
|
|
| Package CDN |
cdnjs
(2)
|
jsDelivr
(2)
|
|
JSPM CDN
|
| Backend framework |
Rails
(2)
|
Infrastructure
Email Security
Storage (1)
| Name | Lifetime | Detected as |
|---|---|---|
| _openschool_session | 29d | - |
Readiness Breakdown How?
Performance How?
⚠ 3 images: 2 oversized, 3 without width/height
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 |
| AI code-structure 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.