Envision – AI-powered camera for the visually impaired

Hacker News

Greetings, We are two guys who have been working with visually impaired people to understand how can computer vision deliver meaningful value to them. Our design centered approach to this has lead to two conclusion: a context-aware AI that anticipates what information user is looking for and an unobtrusive & non-stigmatising wearable camera. We have been able to achieve the first part of it which we have just launched as a beta app. The idea is to use this as a platform to understand what contexts and feature need to be added to improve the experience. We are also going to use this to derive our hardware specifications for the camera that would compliment it and complete the experience. We are trying to push this out to as many visually impaired users as possible, so do spread the word to people you might know. We would also like you to take it for a spin and drop us feedback if you have any. iOS App Store link: http://goo.gl/fptaYQ Cheers,

Visit product View on Hacker NewsSep 26, 2017

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, computer, context · Missing: mac, agents, macos

83%83% 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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs

50%50% 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

41%41% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

35%35% 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

12%12% 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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