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Steering with sound (driving safely without seeing the road)[video]

Hacker News

Steering with sound (driving safely without seeing the road)[video]

Would you ever feel safe driving if you couldn't see the road? Likely a dangerous endeavor if you were on a busy road with real traffic, but what if the environment were purely virtual? With a few minor adjustments, we've taken one of the demo levels for DRIVR and converted it so that vision isn't required in order to navigate the track. The vehicle is completely software controlled, so the player can be certain they won't be allowed to venture beyond the designed driving area. Totally immersive, thoroughly safe. More detail in our blog post: https://www.trydrivr.com/post/drivr-part-11-ghost-in-the-mac...

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% 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: mac · Missing: agents, macos, agent
61%61% 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
52%52% 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: video · Missing: mobile apps, ios, personal
42%42% 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
40%40% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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