I built a simple, fast transit app for the Bay Area

Hacker News

Hey HN, I built Commuter because I was tired of switching between different apps to check arrival times for BART, Caltrain, Muni, ferries, and more. This app pulls directly from the official 511 API and aims to provide a fast, clean experience focused on real-time departures. There’s no account creation, it’s free to use, and it supports every major transit provider in the Bay Area—from Napa down to San Jose. You can search, favorite lines/stops, and see live countdowns with minimal friction. It’s built entirely in SwiftUI using native Apple frameworks. Happy to answer questions about the API, SwiftUI quirks, or anything else. Feedback welcome!

Visit product View on Hacker NewsApr 18, 2025

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

74%74% 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: supports · Missing: reddit linkedin, podcasting, created

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% 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

40%40% 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

35%35% 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 · Strong signals: arr · Missing: mrr, revenue, profit

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.

Incorrect prediction on native model

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