Click the Number Reaction Game

Hacker News

Hello HN, yesterday, I stumbled over an old project of mine called Click The Number. It's a game I built six years ago to compare my speed and dexterity with that of my friends. You have to click the numbers in ascending order – as quickly as possible! After the discovery, I couldn't resist and continued working on this project for a bit. I made the colors a bit nicer, update some of the code, and added a high score to make the game slightly more addictive. I now have more ideas than time to build them. A friend of mine gave this game to their kids (who love it!) and recommended I should build an actual mobile game out of this. I replied that it is really hard to get a game like that off the ground, especially when there is no real "progress" you can make. What do you think about pursuing this? Are there variations of this theme that could make it work? If you're interested, share your record on the leaderboard in the project's Readme [1]. I trust you to only add real scores ;) Have a great day – Marc PS: Being fast on desktop is a different skill than being fast on mobile. [1]: https://github.com/remarcable/ClickTheNumber

Visit product View on Hacker NewsDec 6, 2022

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Actual performance

2points

1comments

Did not reach leaderboard

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

84%84% 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.

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

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% 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: ide, io · Missing: https docs, excited, just released

46%46% 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 · Missing: mobile apps, ios, personal

36%36% 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

18%18% 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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