SPLITWIN — Split expenses with friends
Split bills with friends, track balances, and settle up easily. Every feature is free — no paywalls, no subscriptions. Built for trips, meals, rent, and everything in between.
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 22 July 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.
SPLITWIN — Split expenses with friends is largely in shape, with complete legal pages, a thorough launch checklist, and clean crawl signals. Main gaps: missing several security headers and incomplete email security.
The site is served through Fastly, with a domain registered 8 weeks before launch. The crawl picked up 11 technologies on this site, covering mobile, baas, CDN, and DNS providers. The stack includes Apple App Store, Fastly, and Firebase.
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Tech Stack (11)
| CDN |
Fastly
|
| DNS |
Spaceship DNS
|
| Protocol | HTTP/3 |
| Security | HSTS |
| Business email |
Spaceship Mail
(2)
|
| Transactional email |
Firebase Trigger Email
|
| BaaS |
Firebase
(2)
|
| Font |
Google Fonts
|
| Mobile |
Apple App Store
|
Google Play
|
| SEO |
Google Search Console
|
Infrastructure
Email Security
Storage (0)
Readiness Breakdown How?
Performance How?
⚠ 11 images: 7 oversized, 11 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 writing signals | +5 |
| AI code-structure signals | +5 |
| AI layout signals | +5 |
| AI CSS signals | +15 |
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.