Si

SimDrive – a browser racing game with your phone as the controller:D

Hacker News

SimDrive – a browser racing game with your phone as the controller:D

Games in general and multiplayer games have been a big part of what my friends do together (not just digital; sports, board + card games) And it moved to online games as more of us moved to other places and party games became our go-to Love jackbox and gaming couch (that I discovered here on HN) I saw the vibej.am for this year and I couldn't think of a good enough idea till about the 3rd week but here I am! This is a game made for me and my friends and it's also very inspired by what I thought the PS3 6-axis controller would be when I first heart about it Thanks for reading this and I hope you and your friends enjoy playing You can play either split screen or on separate screens with the room code or even have two split screens play too (max 8 players for now) It started with F1 cars but working on go-karts, trucks and tuk tuks :D I've tried to include a lot of "simulation" in the game. There's decent physics that include down force, grip etc and it even changes with/without the rain Ideally you have an android+chrome phone so you can "feel" your driving with vibrations/haptics but otherwise you'll have just sound as feedback Oops long post, bye

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21points
18comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, para · Missing: supports, reddit linkedin, podcasting
81%81% 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: code · Missing: mac, agents, macos
53%53% 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
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal
52%52% 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
41%41% 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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