3D Topography of Your GPS Track

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As a hiker and (ski)mountaineer I've always been a bit disappointed of how most apps fail to properly depict the topography while analyzing GPS tracks. (I know that Strava offers some kind of 3D view by now, but I still wanted to build my own thing) That's why I started working on https://cubetrek.com It's still very experimental, but you can give it test-drive now. Any feedback appreciated. It essentially renders your GPS Track as a 3D model within the topography. As an example, here's the Bishorn, a 4000 m peak in Switzerland: https://cubetrek.com/view/5807 The front end is based on Babylon.js, D3.js, the back end is Spring Boot and Postgresql with PostGIS. There's a summary on how it works at the very bottom of the homepage.

Visit product View on Hacker NewsAug 5, 2022

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000 · Missing: https docs, excited, just released

37%37% 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: apps, way · Missing: mobile apps, ios, personal

36%36% 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

29%29% 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 · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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