Truncate, a word-based strategy game

Hacker News

Truncate is a chess flavoured word game that blends spatial reasoning and wordplay. In puzzle mode, you beat back your NPC opponent's words and take over their territory. Truncate started as a pen and paper game between a friend and I, evolved into a handmade board game, and finally arrived at an online puzzle game. Like any good word game, there is of course a daily mode, shareable with the tried and true grid of emojis We've been playtesting it with friends and family for a few months, which has helped iron out the tutorials and gameplay, and we're finally happy with an MVP worth sharing! Technical deets: The client and server are written in Rust, with the visuals built using egui (as an experiment in Rust's GUI ecosystem). We'd love any feedback!

Visit product View on Hacker NewsMar 31, 2024

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

57%57% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released

49%49% 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 · Strong signals: visual, using · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% 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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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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