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Drivr – VR with real vehicles [video]

Hacker News

Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness. The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting. No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately). If you're interested in this project, I'd love to connect!

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Actual performance

94points
30comments
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
85%85% 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 · Strong signals: open · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, video · Missing: mobile apps, personal, entrepreneurs
37%37% 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
36%36% 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
34%34% 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
17%17% 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
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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