BikeBus - A organizing tool for BikeBusses

Hacker News

I started building “BikeBus” as a way for groups to organize children’s BikeBus to school. 1.0 release will be web only. I am not a web developer. Features: 1. Plot routes 2. Make a BikeBus 3. Create an Organization 4. Bulletin Boards for Messaging The Organization feature will have some premium functions as it can handle multiple BikeBus and meant to help school districts track timesheets. Schools will be able to assign staff to help out. New Oregon law allows this. This is a web app using Ionic framework with React. Any broad feedback about pricing and holes in the UI: please let me know!

Visit product View on Hacker NewsJul 27, 2023

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

70%70% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, 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

41%41% 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: way · Missing: mobile apps, ios, personal

39%39% 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

16%16% 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.

Correct prediction on native model

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