Eye-Care.fit
Browser-based eye exercises with guided eye movement training and a built-in Pomodoro timer for focused work and healthy screen breaks.
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 6 July 2026; the live site may have changed since.
Eye-Care.fit covers some of the launch checklist, with a thorough launch checklist and fast page loads. Visible gaps: missing several security headers, incomplete legal pages, and no robots.txt.
Launched on Product Hunt on July 6, 2026. The site is hosted on Vercel, with a domain registered 1 week before launch. Our crawler found 15 technologies on this site, covering advertising, analytics, consent tooling, and CSS frameworks. The stack includes Google Funding Choices, Tailwind CSS, and Google Ads.
It's also on one of the most common stacks we track, shared by 2,241 launches.
If you own this site, refresh the snapshot and see the full fix list any time →
Tech Stack (15)
| DNS |
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| Hosting |
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| Security | HSTS |
| Email forwarding |
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| CSS framework |
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| Developer tools |
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| JavaScript library |
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| Package CDN |
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| UI library |
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| Advertising |
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| Analytics |
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| Consent |
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| SEO |
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| Tag management |
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Infrastructure
Email Security
Storage (5)
| Name | Lifetime | Detected as |
|---|---|---|
| FCCDCF | 1y | Google Funding Choices |
| _ga | 1y | Google Analytics |
| _ga_WCHQ5C8BZR | 1y | Google Analytics |
| Key | Size | Detected as |
|---|---|---|
| eyecare-reminder-minutes | 7 B | - |
| eyecare-reminders-enabled | 5 B | - |
Readiness Breakdown How?
Performance How?
⚠ 6 images: 2 oversized, 6 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 |
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.
