Mapping with WhatsApp

Hacker News

I've created this super-simple solution for creating maps with WhatsApp chats It was developed to help emergency services and humanitarian organizations to get locations from people in the field during disasters and emergencies, but it can be used for anything else. The common approach to use it is: 1. Create a WhatsApp group and invite people to it 2. Ask people to share locations followed by a message or a picture 3. Export the chat (with or without media) to a zip file 4. Upload the file to chatmap.hotosm.org Code: https://github.com/hotosm/chatmap

Visit product View on Hacker NewsNov 19, 2024

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

81%81% 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.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% 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

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

13%13% 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.

Correct prediction on native model

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