Train ML models for 80% less by always picking the cheapest Spot region
Open API for choosing the cheapest AWS Spot, Azure Spot VM, or GCP Spot region for batch jobs, CI, rendering, and ML workloads.
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 April 2026; the live site may have changed since.
Train ML models for 80% less by always picking the cheapest Spot region still has work before launch. What needs work: missing several security headers, incomplete legal pages, and no sitemap.
Launched on Hacker News on April 7, 2026. The site is served through Cloudflare. The crawl picked up 7 technologies on this site, covering CDN, CSS frameworks, DNS providers, and frameworks. The stack includes Next.js, React, and Tailwind CSS.
For context, it's running the same core stack as 3,884 other launches.
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Tech Stack (7)
| CDN |
Cloudflare
(3)
|
| DNS |
Cloudflare DNS
|
| Protocol | HTTP/3 (2) |
| CSS framework |
Tailwind CSS
|
| Framework |
React
|
| Meta-framework |
Next.js
(5)
|
| SEO |
Google Search Console
|
Infrastructure
Email Security
Readiness Breakdown How?
Vibe Score Breakdown How?
| Signal | Points |
|---|---|
| AI copy 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.