I lost my job and started working on a sci-fi adventure game

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After losing my job, I decided to channel my energy into creating my own sci-fi adventure game. While I’ve previously released a VR game, I’ve been working as a regular software developer for the past few years. The game, Star Mission: Remote Sectors, is a first-person exploration and survival experience set on an uncharted alien planet. Players use superhuman abilities like telekinesis to uncover anomalies, navigate environmental hazards, and survive in hostile conditions. A big inspiration for the game was classic sci-fi movies and the optimistic vision of Star Trek. The journey has been challenging but incredibly rewarding, and I’d love to share the project with the HN community. I've recently released a demo and would appreciate any feedback or thoughts!

Visit product View on Hacker NewsSep 27, 2024

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

67%67% 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 · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% 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 · 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 · Strong signals: host · Missing: plus, platform, intuitive

30%30% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · 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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