Fillora PDF
Fillora: 40+ free online PDF tools. Merge PDF, compress PDF, split PDF, sign PDF, convert PDF to Word, JPG to PDF & more. 100% free, no signup, browser-based & secure.
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 8 July 2026; the live site may have changed since.
Fillora PDF scores highly overall, with complete legal pages, a complete set of security headers, and a thorough launch checklist. Visible gaps: tracking cookies set before any opt-in and incomplete email security.
Launched on Product Hunt on July 8, 2026. The site is served through Cloudflare, with a domain registered 5 weeks before launch. The crawl picked up 19 technologies on this site, covering advertising, servers, analytics, and auth. The stack includes Google Sign-In, Tailwind CSS, and Cloudflare.
For context, it's on one of the most common stacks we track, shared by 5,597 launches and more locked down than the typical Product Hunt launch.
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Tech Stack (19)
| CDN |
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| DNS |
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| Protocol | HTTP/3 |
| Security | HSTS |
| Server |
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| Business email | Hostingial |
| Transactional email |
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| Auth |
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| BaaS |
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| Captcha |
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| CSS framework |
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| Font |
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| Advertising |
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| Analytics |
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| SEO |
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| Tag management |
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| Payments |
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Infrastructure
Email Security
Storage (4)
| Name | Lifetime | Detected as |
|---|---|---|
| fillora_dt | 1y | - |
| PHPSESSID | 10y | PHP |
| _ga | 1y | Google Analytics |
| _ga_KWW1KXSFQX | 1y | Google Analytics |
Readiness Breakdown How?
Performance How?
⚠ 3 images: 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 CSS signals | +8 |
| AI copy signals | +5 |
| AI palette signals | +5 |
| AI iconography signals | +5 |
| AI layout 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.
