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AstroDash – A fast synthwave racing game inspired by SkyRoads

Hacker News

AstroDash – A fast synthwave racing game inspired by SkyRoads

When I was 5, I played SkyRoads and never forgot how it felt. It was one of my fav games as a child. Well...Decades later and I decided to bring that feeling back :D AstroDash is a fast, synthwave inspired racing game. I tried to take elements from SkyRoads but also F-ZERO and Super Meat Boy. Basically skill, timing, and chasing the highest score. It started as a game jam project, but I liked the game so much that I’m expanding it for a "full" release. And the crazy part is (at least to me) that AI pretty much created the entire thing. From planning, implementing shaders, collision detection, even the music. Would love your feedback, Especially from anyone who remembers the original SkyRoads or likes fast, challenging games!

Visit product View on Hacker NewsApr 29, 2025

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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

65%65% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, 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.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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 · Missing: arr, mrr, revenue

16%16% 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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