Ho

Hoshi, a little fun Star battle puzzle with daily challenges

Hacker News

Hoshi, a little fun Star battle puzzle with daily challenges

Hoshi is a little puzzle app I created in my spare time. The underlying game principle is called "Star Battle" or "Two not Touch". In a normal 2 star game each row, column, and region must have exactly 2 stars, but stars are not allowed to touch (even not diagonally). One of the biggest challenges in the development was the algorithm for generating the puzzles. In complexity theory it is one of the NP-Hard problems. Simulated Annealing with Z3 was the approach that worked out for me.

Visit product View on Hacker NewsJan 12, 2023

Actual performance

1points

2comments

Did not reach leaderboard

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

89%89% 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.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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