New App for Meta Display Smart Glasses

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The Meta Display glasses very recently opened up their software to third party developers. So I made Keepers! Keepers uses your glasses camera to capture photos or videos every 10 seconds (configurable) and uses AI to judge if those are worth keeping (works in background and locked mode). There are other features like daily recaps, and the fact that these get stored directly onto your phone (something the glasses native camera does not do). iOS App: https://apps.apple.com/us/app/keepers-smart-glasses-camera/i... Android App: https://play.google.com/store/apps/details?id=com.ggaswint.k... Looking for users, feedback, new feature requests. I have already gotten tons of use out of this. Personally i don't like having to press the glasses button for a photo or video. I feel like it's laggy and i often don't catch the moments I want. This app allows me to turn it on, then go play with my daughter and at the end of our fun session I get a ton of photos and highlights of our time. I hope other's will find this app enjoyable as well :) Anyone else here own a pair of the meta rayban display glasses?

Visit product View on Hacker NewsJul 30, 2026

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

92%92% 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: apple, google, apps · Missing: mac, agents, macos

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

71%71% 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

30%30% 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: users · Missing: plus, platform, intuitive

28%28% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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