A Simple Browser Game Built with Trickle

Hacker News

I’ve been experimenting with Trickle , an AI-powered no-code builder, and put together a small browser game: https://awjzh9pdmgwr.trickle.host/ No installs or signups are needed—you can try it right away. Why I made this: To test how interactive projects (like games) can be prototyped quickly with Trickle. To explore how minimal mechanics + design can still feel engaging in a web environment. What I’d love feedback on: Gameplay flow (does it feel smooth enough?) Design and usability Any ideas for improvements or fun twists This is an early experiment, so I’d really appreciate your thoughts. Thanks for trying it out!

Visit product View on Hacker NewsAug 22, 2025

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Actual performance

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Launch Intel predictions

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

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host, builder · Missing: plus, platform, intuitive

66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

30%30% 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 · Strong signals: active · Missing: arr, mrr, revenue

15%15% 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.

Correct prediction on native model

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