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MailMap – Turn emails into interactive stories on Google Maps

Hacker News

MailMap – Turn emails into interactive stories on Google Maps

Hi HN! I built MailMap ( https://mailmap.site ) – a platform where you can create interactive map stories by simply sending an email. ## How it works: 1. Take a photo with GPS data 2. Email it to submit@mailmap.site with your story 3. Your story appears on an interactive map within seconds 4. Get a unique shareable URL No app downloads, no registrations required for basic use. Just email → map story. ## Technical details: - Automatically extracts GPS coordinates from image EXIF data - Alternative: registered users can add stories directly on the map (click location + wait 3 seconds) - Real-time processing and map updates - Built for the Postmark Challenge: Inbox Innovators - Supports common image formats (JPEG, PNG, GIF) - Community moderation system - Mobile-responsive Google Maps integration ## Why email-first? I wanted to remove friction from sharing location-based stories. Everyone knows how to send an email, but not everyone wants to download another app or create another account. Email is universal. The platform also supports registered users who can manually add/edit stories directly on the map, but the core experience works entirely through email. ## Current features: - Instant story publishing via email - Interactive map exploration - Story voting and sharing - Community moderation - Responsive design - Direct map editing for registered users Try it out: send a geotagged photo to submit@mailmap.site or explore existing stories at https://mailmap.site What do you think? Any feedback on the concept or technical implementation? --- *Demo:* https://mailmap.site *Email:* submit@mailmap.site *Help:* https://mailmap.site/help

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6points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
93%93% 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: google, user, inbox · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
14%14% 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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