Ti

TiltBump, a mobile web game controlled by phone tilt

Hacker News

TiltBump, a mobile web game controlled by phone tilt

Hi HN, I built TiltBump, a small mobile web game where you tilt your phone to bump blocks off a board without falling off yourself. It runs in the browser, no install or signup needed. It uses motion/orientation sensors, so it’s best tried on a phone. This is my first game, and I’d especially value feedback on the controls, difficulty curve, onboarding, and what to improve next from people who have built or shipped games before. Thanks for trying it.

Visit product View on Hacker NewsMay 25, 2026

Actual performance

2points

5comments

Did not reach leaderboard

Launch Intel predictions

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

61%61% 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 · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, 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

42%42% 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

21%21% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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