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Offline Flock Navigation

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Offline Flock Navigation

Hello HN! A little side project I have been working on a fork of OsmAnd with offline ALPR/Flock camera avoidance routing. Also, took the time to at least create a paper on the project as well. https://github.com/KaraZajac/TRAMES/blob/main/research/paper... And yes, I did use AI to help me with this. All of it open sourced and available for use. Though I don't intend to build Apple version of this, or submit it to the play store. I am looking for feedback! Thank you all and have great weekend. :)

Visit productView on Hacker NewsJul 31, 2026
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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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, open · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
51%51% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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