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OpenAEDMap – Automated External Defibrillators from OpenStreetMap

Hacker News

OpenAEDMap – Automated External Defibrillators from OpenStreetMap

Hi everyone, OpenAEDMap ( https://openaedmap.org/ ) allows you to find (and add!) AEDs in your area. These devices have proven themselves as life-savers in heart failure - when every second matters. The data is synced to OpenStreetMap database, so it's openly licensed (ODbL) and can also be used in other OSM-based apps. AFAIK, there is no other comparable map - they are either proprietary or show a single country. Frontend: https://github.com/openstreetmap-polska/openaedmap-frontend Tech stack: React, MapLibre GL JS, Bulma Backend: https://github.com/openstreetmap-polska/openaedmap-backend Tech stack: Python, PostGIS

Visit productView on Hacker NewsDec 21, 2022
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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, single, open · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, para · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% 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
15%15% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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