World Cup 2026 free family and friends prediction platform

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Hi all, I was testing Cursor for the past week and a half and I decided to build a quick platform for my family and friends to make a little prediction tournament for the World Cup 2026. My goal was to have the easiest possible setup for elderly relatives, no sign ups, mobile friendly, $0 budget for hosting platform. I doubt this will get popular but in the odd case of happening just letting you know I'm using free vercel and neon db tiers :D In case you wonder why is slow and/or down. I'd love to get some feedback on the scoring system, do you think I can improve it and make it more competitive? Tech stack & development: - vibe coded with mainly Opus 4.7 with Cursor - Neon free tier 0.5 GB db - vercel free tier - github actions - for games - I've loaded the whole tournament and found API - football-data.org cron for pulling the results (free API key for 10 request per min) enough for what we have here - React - Next.js - translated to 4 languages English/German/Spanish and of course Bulgarian. Thanks, Anton

Visit product View on Hacker NewsMay 23, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, using, code · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, friendly · Missing: plus, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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You have friends all around the world.

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