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A CAPTCHA based on 3D spatial recognition

Hacker News

A CAPTCHA based on 3D spatial recognition

I got tired of clicking traffic lights and fire hydrants, so I built a CAPTCHA that asks you to rotate a 3D object to match a target angle. Try it here: https://spatial-captcha-frontend.vercel.app The idea is simple — humans are naturally good at understanding 3D space, but bots aren't. A bot would need to figure out the spatial orientation of a 3D model rendered in a WebGL viewport, which is a much harder problem than solving text or image classification CAPTCHAs. Under the hood it uses Three.js for rendering, quaternion comparison on the backend for angle matching (45° tolerance), and the whole thing drops into any site with two lines of HTML. Verification flow is the same as reCAPTCHA — pass token issued on success, server-side /siteverify endpoint. Curious what you all think — is 3D spatial reasoning actually a durable defense, or will multimodal models eat this for breakfast in a year?

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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: model, models · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% 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
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
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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