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A poor man’s VR (front camera and tensorflow.js)
Hacker NewsA poor man’s VR (front camera and tensorflow.js)
Using the front camera and tensorflow.js, the smartphone becomes a “window” into the real world. Video and image content appear as if they were seen through this window. To do this, the viewer’s position is determined using a neural network. The viewed content is then moved according to the viewer’s position. This makes it seem like the content is physically behind the smartphone and is viewed through the smartphone’s screen. This effect is especially useful for content captured using an ultra-wide lens.
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Product HuntOn track for Day 1 leaderboard · Strong signals: physical, using · Missing: mac, agents, macos70%70% 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, podcasting61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Strong signals: smart, real world · Missing: web3, chat, crypto55%55% predicted probability of success on BetaList, 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 released48%48% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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