Mail Memories – Export your email photos

Hacker News

Hey HN, I’m Carlos, the maker behind Mail Memories ( https://mailmemories.com ), a web app that helps you find and save photos from your (Gmail) email. The app connects with your email account, finds all the images you’ve received and shows them in a gallery where you can view and download the ones you want to save. I made this out of curiosity, just to see what pictures were in my account when I first signed up for Gmail 18 years ago. I ended up finding photos of my grandmother and other family members, and old friends and colleagues I’d completely forgotten about. I was surprised by what I found, I hope you will be too. Can’t wait to hear your thoughts. Demo: https://mailmemories.com/app/start

Visit product View on Hacker NewsAug 25, 2023

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Did not reach leaderboard

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

71%71% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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 · Missing: arr, mrr, revenue

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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