SineRider, a math puzzle game

Hacker News

Messing with your TI-84 graphing calculator is a rite of passage for every teenager who has ever been bored in a math class. In 2013 I was that teenager, and it gave me an idea for a tiny game about sledding on graphs. This project grew into my white whale, and I spent my twenties trying and failing to finish it alone. I shelved the game when I started working for Hack Club in 2018—until last May, when a few community members took it off the shelf. The project took on a life of its own, and turned into a year of nights and weekends from a global team of 20+ teens in 8+ countries. Today SineRider enters public beta! SineRider is literally an infinite universe of function composition puzzles, each with infinite solutions, that range from welcoming for 9th graders to difficult for even the most serious matlab user. And every day we tweet out a fresh one to be solved with your morning coffee. We hope you enjoy playing SineRider as much as we’ve enjoyed making it. And we’re not done! Mobile support, polar coordinates, and a level editor are all on the roadmap. SineRider is a living project, to be continuously built and maintained as free OSS by the Hack Club community: https://github.com/hackclub/sinerider The team that built the game will try to be in the comments today between high school classes and AP tests. —chris walker, creative director Watch the trailer: https://www.youtube.com/watch?v=35nDYoIwiA8 Play now: https://sinerider.com

Visit product View on Hacker NewsMay 8, 2023

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

78%78% 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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

49%49% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, tiny · 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

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

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

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