MLALab.ai
Auto-package Multi-Language Audio (MLA) directly for YouTube Studio. AI-powered translation and dubbing in 27 languages.
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 10 June 2026; the live site may have changed since.
MLALab.ai scores well across the board, with complete legal pages, a complete set of security headers, and a thorough launch checklist. Visible gaps: analytics without a consent banner and incomplete email security.
Launched on Product Hunt on June 10, 2026. The site is hosted on Amazon.com in the United States, with a domain registered 4 months before launch. We've detected 18 technologies on this site, covering auth, affiliate, analytics, and baas. The stack includes Auth.js, Google Sign-In, and Next.js.
It's on one of the most common stacks we track, shared by 7,155 launches and more locked down than the typical Product Hunt launch.
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Tech Stack (18) · Indie stack
| DNS |
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| Hosting |
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| Security | HSTS |
| Storage |
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| Business email |
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| Transactional email |
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| Auth |
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| BaaS |
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| CSS framework |
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| Data API | Noembed |
| Framework |
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| Meta-framework |
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| Video |
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| Affiliate |
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| Analytics |
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| Tag management |
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| Payments |
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Infrastructure
Email Security
Storage (4)
| Name | Lifetime | Detected as |
|---|---|---|
| _ga | 1y | Google Analytics |
| _ga_Q8H5KXP0EW | 1y | Google Analytics |
| __Host-authjs.csrf-token | session | Auth.js |
| __Secure-authjs.callback-url | session | Auth.js |
Readiness Breakdown How?
Performance How?
⚠ 2 images: 2 oversized, 2 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 copy signals | +5 |
| AI palette signals | +5 |
| AI writing signals | +5 |
| AI stack signals | +10 |
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.
