Ambulate – Detailed Trip Planning

Hacker News

Ambulate was created because planning hiking trips using spreadsheets and various map solutions got chaotic. I wanted an app to manage and map multi day trip itineraries in the outdoors/backcountry. Features - Manage itineraries - Add activities and map markers - Add routes (upload GPX or plot by hand on map) - Desktop and mobile It is free to try (login using Google or create a user). Alternatively the slides on the home page give an idea of the UI. I'll appreciate any thoughts and feedback you care to share:)

Visit product View on Hacker NewsOct 22, 2024

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Actual performance

93points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, using · Missing: mac, agents, macos

76%76% 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: created · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

38%38% 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

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

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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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