Upper Hand - Poker Meets Chess
Poker Meets Chess (Pineapple Open Face Chinese Poker). Build three poker hands, but bottom must beat middle and middle must beat top. Play offline or challenge friends.
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 1 September 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.
Upper Hand - Poker Meets Chess covers some of the launch checklist, with a thorough launch checklist, fast page loads, and clean crawl signals. Main gaps: missing several security headers, incomplete legal pages, and tracking cookies set before any opt-in.
The site is served through Fastly, with a domain registered 9 weeks before launch. Our crawler found 14 technologies on this site, covering advertising, frameworks, analytics, and auth. The stack includes Flutter, Google Sign-In, and Svelte.
It's also one of just 5 launches we've crawled on this exact stack.
If you own this site, refresh the snapshot and see the full fix list any time →
Tech Stack (14)
| CDN |
Fastly
|
| DNS |
Namecheap DNS
|
| Protocol | HTTP/3 new |
| Security | HSTS |
| Email forwarding |
Namecheap Email Forwarding
(2)
|
| Auth |
Google Sign-In
(2)
|
| BaaS |
Firebase
(4)
|
| Framework |
Flutter
(2)
|
Svelte
|
| Advertising |
Google Ads
(2)
|
Reddit Ads
(3)
|
|
| Analytics |
Google Analytics
(4)
|
| SEO |
Google Search Console
|
| Tag management |
Google Tag Manager
medium
|
Infrastructure
Email Security
Storage (15)
| Name | Lifetime | Detected as |
|---|---|---|
| _ga | 1y | Google Analytics |
| _ga_MRNVL9J5W2 | 1y | Google Analytics |
| _gcl_au | 3mo | Google Ads |
| _rdt_uuid | 3mo | Reddit Ads |
| Key | Size | Detected as |
|---|---|---|
| flutter.analytics_device_id | 38 B | Firebase |
| _gcl_ls | 277 B | Google Ads |
| Key | Size | Detected as |
|---|---|---|
| flutterfire-flutter-fire-analytics-12.5.0 | 6 B | Firebase |
| flutterfire-flutter-fire-auth-6.6.0 | 5 B | Firebase |
| flutterfire-flutter-fire-core-4.14.0 | 6 B | Firebase |
| flutterfire-flutter-fire-fcm-16.6.0 | 6 B | Firebase |
| flutterfire-flutter-fire-fst-6.9.0 | 5 B | Firebase |
| flutterfire-flutter-fire-rc-6.6.0 | 5 B | Firebase |
| Database | Version | Detected as |
|---|---|---|
| firebase-heartbeat-database | 1 | Firebase |
| firebase-installations-database | 1 | Firebase |
| firebaseLocalStorageDb | 1 | Firebase |
Readiness Breakdown How?
Performance How?
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 | +3 |
| AI code-structure 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.