I’ve run for 10+ years.
I still struggle to keep long runs easy.
So I built Coachi for myself.
It is not another tracker.
It is a voice coach that tells me when my heart rate is too high or too low.
So I can stop staring at my watch and just run.
@craftoraosen@X Building Coachi, an AI run coach for Apple Watch/iPhone.
Right now I am focused on real-time coaching: simple cues when effort drifts, instead of making runners interpret another dashboard after the run.
https://t.co/1mbGoYtVu0
@jawadmakes Building Coachi: AI coaching for runners on iPhone/Apple Watch.
Not another fitness dashboard. The product bet is that runners need a simple cue during the session, especially when pace/heart-rate/effort starts drifting.
https://t.co/1mbGoYtVu0
@Crevion218669 Building Coachi, an AI run coach.
The product lesson so far: real-time AI is judged by timing before intelligence. A decent coaching cue at minute 8 beats a perfect post-run insight at minute 45.
@Ayeshawaqass Project: Coachi
Problem: runners get too much tracking and not enough coaching while the run is happening
Stage: live on iOS, Android beta forming
Building the voice/AI layer so the app can tell you when easy stops being easy.
https://t.co/1mbGoYtVu0
@stellytips1 Building Coachi.
It is an AI running coach for people who want guidance during the run, not just charts afterward.
The hard part technically is timing: a coaching cue only helps if it arrives before the runner has already overcooked the session.
https://t.co/1mbGoYtVu0
@TanzilaSha9574 Building Coachi: an AI run coach for Apple Watch/iPhone.
The idea is simple: less dashboard-after-the-run, more useful cue during the run when effort drifts.
Current focus: real-time coaching, Android beta, and tightening the voice loop.
https://t.co/1mbGoYtVu0
@AKirtesh Building Coachi, a real-time AI running coach for iPhone and Apple Watch.
It gives voice guidance during runs, supports heart-rate zones, and summarizes the session afterward.
App Store:
https://t.co/wVgmhMeM4L
@zuess05@heykumaonx Would love feedback on Coachi.
It is a real-time AI running coach for iPhone and Apple Watch: live voice guidance, heart-rate zone support, workout history, and post-run feedback.
App Store:
https://t.co/wVgmhMeM4L
@cyrilgupta Building Coachi, a real-time AI running coach.
It helps runners stay in the right effort zone with voice guidance during the run, then gives a short post-run summary.
App Store:
https://t.co/wVgmhMeM4L
@sridharfyi Building Coachi in the real-time AI/wearables space.
It coaches runners during the workout with voice guidance and heart-rate context instead of making them interpret everything alone afterward.
App Store:
https://t.co/wVgmhMeM4L
@TanzilaSha9574 Solo-building Coachi.
It is an AI running coach with live workout guidance, Apple Watch support, heart-rate zone cues, and post-run feedback.
The lesson so far: the model matters, but timing is the product.
App Store:
https://t.co/wVgmhMeM4L
@TanzilaSha9574 Building Coachi, an AI running coach for people who want guidance during the run instead of another graph afterward.
Current focus: real-time voice timing, Apple Watch/heart-rate guidance, and cleaner post-run feedback.
App Store:
https://t.co/wVgmhMeM4L
@stellytips1 Building Coachi, a voice-first AI running coach.
Most running apps show numbers after the run. I am trying to make the useful cue happen while the run is still fixable.
App Store:
https://t.co/wVgmhMeM4L
@cyrilgupta Building Coachi.
It is a real-time AI coach for runners: live workout guidance, heart-rate zone support, Apple Watch support, and post-run feedback.
The product bet: fewer dashboards, better timing.
App Store:
https://t.co/wVgmhMeM4L
@TechJobsDailyIN Building Coachi, an AI running coach that works during the workout, not only after it.
The hard part is timing: saying the right thing when heart rate drifts, then staying quiet.
App Store:
https://t.co/wVgmhMeM4L
@emipanelli Building Coachi: a real-time AI running coach for iPhone and Apple Watch.
The app gives voice guidance during workouts so runners do not have to keep staring at heart-rate zones mid-run.
App Store:
https://t.co/wVgmhMeM4L
I’m impressed with Fable 5 Max settings
For wide repo reading, it caught a few edge cases in Coachi that my usual Codex pass missed.
But I don’t want it writing the code.
My workflow is becoming clear:
Fable for deep scanning and second opinions.
Codex for executing