Lira LLM
Private LLM Development Own Your AI. Control Your Data. Deploy Your Private LLM. AIVeda helps enterprises design, build, and deploy Private LLMs inside their own infrastructure—ensuring security, compliance, and full operational control across on-prem, VPC, and hybrid environments. Book AI Readiness...
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 14 May 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.
Lira LLM looks production-ready overall, with a thorough launch checklist, well-configured email security, and clean crawl signals. What needs work: missing several security headers, incomplete legal pages, and tracking cookies set before any opt-in.
Launched on Product Hunt on May 14, 2026. The site is hosted on Hostinger. We've detected 15 technologies on this site, covering analytics, wordpress plugin, CMS, and CSS frameworks. The stack includes Tailwind CSS, WordPress, and cdnjs.
It's one of 66 launches on this exact stack.
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Tech Stack (15)
| DNS |
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| Hosting |
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| Protocol | HTTP/3 |
| Server |
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| Business email |
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| CMS |
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| CSS framework |
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| Font |
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| Icon font |
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| Package CDN |
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| WordPress plugin |
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| Analytics |
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| Tag management |
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Infrastructure
Email Security
Storage (2)
| Name | Lifetime | Detected as |
|---|---|---|
| _ga | 1y | Google Analytics |
| _ga_Y4G4V38CXS | 1y | Google Analytics |
Readiness Breakdown How?
Vibe Score Breakdown How?
| Signal | Points |
|---|---|
| AI copy signals | +5 |
| AI onboarding signals | +5 |
| AI palette signals | +5 |
| AI writing 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.
