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2048 with Blitz Mode
Hacker News2048 with Blitz Mode
I got bored of normal 2048 so I made this. It allows you to enter "blitz mode" with a set time per move and an ability to scale the board up if you want to play longer games. It allows 2 3 or 5 second turns, and can play up to 8, 10, or 12 size boards. It is nothing too complicated or complex but the code is here if you want to see. I made this while on vacation for a friend today with Claude's help to work fast and get the styles right. https://github.com/notactuallytreyanastasio/blog/commit/7891...
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, code · Missing: mac, agents, macos72%72% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% 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, revenue20%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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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