A Minimalist Web Game Built with Trickle

Hacker News

Hi HN, I’ve been experimenting with Trickle , an AI-powered no-code builder, and created a simple browser-based game that you can try right away: https://axdjinq2v40r.trickle.host/ It’s a lightweight, minimalist design—no installs or signups needed. The idea was to test how quickly interactive prototypes could be built and shared entirely in the browser using a visual-first workflow. What you can do: 1. Play directly in the browser (desktop & mobile). 2. Give feedback on the interaction, usability, and feel. 3. Suggest ideas for improvement or fun variations. Why I made this: I wanted to explore whether Trickle could be used not just for static websites but also for interactive projects like games. This is one of my first tests, and I’d love to hear what you think—especially around gameplay flow and design simplicity. Thanks in advance for trying it out!

Visit product View on Hacker NewsAug 21, 2025

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

84%84% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

76%76% 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

65%65% 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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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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