HyperSudoku – Multiplayer sudoku puzzle every 15 min

Hacker News

Hi All, This the second iteration of a multiplayer sudoku web-based game I built recently. Hope you like it! Features: 1) No login needed, 2) Web app, that can be added to home-screen as needed, 3) Works on Desktop (with arrow keys supported) & Mobile, 4) Share link with friends to invite to the game Game Rules: 1) New puzzle starts for everyone every 15 minutes, 2) Game ends if you run out of time, 3) Fill all empty tiles correctly before time runs out to win, 4) Incorrect moves will disable the board for a few seconds, with penalty increasing as you've fewer empty tiles remaining Get started here: https://hypersudoku.app

Visit product View on Hacker NewsMar 9, 2022

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

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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

44%44% 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

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.

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

19%19% 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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