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yougotta.click, a remake of One Million Checkboxes

Hacker News

yougotta.click, a remake of One Million Checkboxes

If you click a light square, it turns dark and you get one point. If you click a dark square, it goes light and your score resets. Because the playing field is the same for everyone, you'd better watch out for other players on the field! The idea for this site was stolen from the excellent onemillioncheckboxes.com made by eieio, and (poorly) recycled into this. I got quite obsessed by his amazing writeup on how he built One Million Checkboxes[1], and felt that I had to build something like this myself. Also, I've wanted to learn Go for a while now, and this seemed like the perfect excuse to do so. [1] https://eieio.games/essays/scaling-one-million-checkboxes

Visit product View on Hacker NewsAug 27, 2024

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

85%85% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

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

20%20% 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.

Incorrect prediction on native model

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