Scryptogram – A game where you unscramble a summary to guess the title

Hacker News

Hi HN, I'm Kyle and I've been working on Scryptogram — a word puzzle game where you’re given five scrambled sentences that describe a person, place, or thing. Your goal is to unscramble the sentences and guess the subject. It’s a mix between trivia and word scrambles. It’s browser-based and mobile-friendly. In the future I'd like to move to a mobile app, but I'm still figuring out the core game loop and experimenting. I’d love feedback on puzzle difficulty, ideas for themed puzzle packs or growing my game, and overall whether or not you had fun - all feedback is welcome. Thanks for checking it out!

Visit product View on Hacker NewsJul 30, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

56%56% 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.

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

44%44% 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, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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 · 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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