I released an indie racing game (single dev)

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It took me 20 months to develop it in my spare time. I used Unity game engine, I did not have any game dev experience before. It was more complex that I thought at the begining, I spent lots of time on promotion, marketing, founding company, learning about the legal aspects of different parts, for example music. Some parts were easier than I expected. Unity makes it very easy to build for all three operating systems (Win, MacOs, Linux), I am not sure why more game devs are not using this possibility. I also like working on Steam as distribution system. It is not exactly easy for a newcomer, but once you know your way around it has many nice features and it is easy to upload your builds. Let's see how well this game does, I am excited to either improving it or jumping to a new gamedev project :)

Visit product View on Hacker NewsAug 26, 2022

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

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, game engine, io · Missing: https docs, just released, exist

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% 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 · 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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