We built an AI that learns and remembers your screenshots

Hacker News

Hi HN, Gunhee and Harry here. We're excited to launch Shotup AI — an AI assistant that learns and remembers your screenshots. Many of us take screenshots to save important info, but over time, our photo albums become chaotic, and it’s almost impossible to find the right information when we need it. The AI understands the content and context of your shots. It lets you search by description, like "The modern interior design reference I saw on Instagram." It helps you recap, organize, and remind you about important saved info. How it works: 1. Select and sync your screenshots from your photo album 2. Choose recommended custom questions based on your shots or ask Shotup AI anything via chat 3. Get weekly and monthly recap summaries to rediscover forgotten saves We believe screenshots are the new bookmarks for mobile. If you have any questions or suggestions for features, please share. Would love your feedback. Website: https://shotup.ai App Store: https://apps.apple.com/us/app/shotup-ai/id6738339711

Visit product View on Hacker NewsApr 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, new · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

43%43% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

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