Bu

Built a daily game where you sort historical events chronologically

Hacker News

Built a daily game where you sort historical events chronologically

Hey folks, I built Hisorty, a small daily game where you sort historical events in chronological order (strongly inspired by Wordle mechanics). Each day you get 6 events and 3 attempts to place them correctly. I found it surprisingly tricky to design those puzzles so the difficulty is just about right. Would love feedback on: - difficulty balance - UI/UX - whether the concept feels engaging long-term Happy to answer any questions about how I built it.

Visit product View on Hacker NewsApr 23, 2026

Actual performance

74points

70comments

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

67%67% 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

55%55% 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

47%47% 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

39%39% predicted probability of success on AppSumo, 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

35%35% 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

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

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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