PaletAI – App to create, play, and share AI‑generated games

Hacker News

Hi HN! My cofounder and I just launched PaletAI, a mobile app for playing and creating AI-generated games. What PaletAI does: 1. Create – Describe the game you want to make, AI makes it, no coding. 2. Share – Hit publish and it appears on our TikTok-style home feed. 3. Play - Swipe through thousands of games, save the ones you like. Basically it’s a platform for “vibe‑coded” mobile games. What problems we’re solving: - Creators: No‑code tools still leave you with “now what?” (hosting, marketing). With PaletAI, you just hit “Publish” - Players: Finding quick casual games today means store searches, downloads, sign‑ups, storage (lots of friction). With our app you just swipe Please try it and let us know what you think! App Store (iOS/US-only for now): https://apps.apple.com/us/app/paletai/id6745572623 Thanks! Ted

Visit product View on Hacker NewsJul 20, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, coding · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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.

Incorrect prediction on native model

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