Per Diem, a daily dice game like Balatro

Hacker News

I love Balatro and have had a fascination with daily games recently. RNGdle in particular sparked my interest because of its dopamine-factory style gameplay. Per Diem takes a similar approach. In Per Diem, each day you cast 5 dice from a sack randomly. The pips and patterns (ie. snake eyes) are scored, producing your final score for the day. You get one roll a day, so the challenge is maximizing your scoring potential. Charms are the mechanism by which you tilt the odds in your favour: charms can modify the pip score and the multiplier. Each day presents a new "encounter" which slightly modifies the rules of the game, requiring a new strategic approach. Because charms are not freely available, the game scales over days as you score points, earn coins, and purchase better charms from the shop. In order to keep your score and charms you should sign in. Currently only Discord sign ins are supported - this is admittedly a bit of a growth hack: when you sign in, you can see a leaderboard for each Discord server you're apart of, which makes competition a little more fun. I made this mostly as a fun way to test out my knowledge on how to build a viral product with some built in growth mechanisms, and now I'm testing to see if it holds up against an audience like HN. :) Let me know what you think!

Visit product View on Hacker NewsAug 27, 2026

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Did not reach leaderboard

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

76%76% 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.

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

53%53% 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

34%34% 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

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.

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

15%15% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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