MintJane

Building Workout Lens 🏃 Apple Health workout analysis, recovery insights & private AI coaching. Apple Watch runner/data tools.

[MintJane @MintJane_]

Workout Lens v1.2 is live. It connects to Apple Health and helps you understand workouts, recovery, training load, and readiness. I also added AI Coach Pro: private on-device coaching where supported. Looking for feedback from Apple Watch runners.

[MintJane @MintJane_]

@Google @googlegemma Already running Gemma 4 e2b on-device in an Apple Watch runner app. The win isn't benchmarks — competitive reasoning on a phone with zero network round trip is the actual unlock. Training data never leaves the device. Private health AI just got viable.

[MintJane @MintJane_]

@Gathiyo 100% this. The Apple VO2 model is trained on runners running, then handed to a cyclist who looks like a sloth on paper. As a runner I love the bias, but for cross-sport athletes it is genuinely misleading. Whoop handles it better by using resting HR trends, not workout pace.

[MintJane @MintJane_]

@therunninggenie Congrats on 400. Apple Health is the easier integration - Garmin Connect is where the pain lives. How do you handle the merge: same source or let user pick canonical? I went the other way - Apple HealthKit only, and that decision is rough on Garmin loyalists.

[MintJane @MintJane_]

@jordantcarlisle HealthKit is great until the export crashes on multi-year datasets - same problem I ran into. The deeper issue: every app reads the same HealthKit data but writes its own format. The API exists, the open standard does not. Apple will not open it. Builders do it themselves.

[MintJane @MintJane_]

@sarahMo3W Classic Apple Watch rounding. The 5K celebration triggers way too early. Curious if you train by distance or time - I have found runners care more about pace than the cheer milestones. Either way, that should have been a 10K post.

[MintJane @MintJane_]

@Thee_KaylaT Three-device stack is real for serious runners. One thing I keep coming back to: HealthKit is the only hub that pulls Apple Watch + Garmin + Whoop together, but no app surfaces "you are cooked, rest today" cleanly. The recovery signal is there, the UX is not.

[MintJane @MintJane_]

@dksf Curious - how are you handling the recovery side? I am building on the same idea (Apple HealthKit on Watch) and the hardest part is telling runners "today is a rest day" in a way they actually believe. Daily readiness or weekly load?

[MintJane @MintJane_]

@alexyuminjung Interesting approach combining HRV + sleep for readiness scoring. One thing I keep coming back to: weekly load trends vs daily readiness - runners tend to optimize the day, then blow up by Sunday. How are you handling the weekly view?

[MintJane @MintJane_]

@TraffAlex On-device is exactly where health/fitness should go. HR, recovery, RPE — none of it needs to leave the device. Building around that for Apple Watch runners: coaching that runs locally where supported, so your training history isn't quietly living on someone else's server.

[MintJane @MintJane_]

@NixFred This is great. The "illness 48h early" insight is exactly what iPhone Health never surfaces. Same aggregation-logic pain on my end. I went the focused iOS route: turn Apple Health workouts + recovery into one clear "train hard, easy, or recover" decision.

[MintJane @MintJane_]

@Kevin_McE_ Great breakdown. Most apps use the Apple Watch calorie number as a flat input — they miss the actual session structure (intensity, duration, HR zones). Pairing RPE + total volume + HealthKit bodyweight trend with daily energy burn is the cleanest adaptive engine I've seen.

[MintJane @MintJane_]

@superageapp Readiness as recovery debt is the right framing. Most apps show HRV in isolation instead of layering it with the actual training load that caused it. Single HRV reading = noise. The 7-14 day trend vs your chronic load is the real signal.

[MintJane @MintJane_]

Download Workout Lens here: https://t.co/9fQu1RjAtg

DMs open for serious testers.

[MintJane @MintJane_]

Looking for 10 Apple Watch runners to test Workout Lens.

It reads Apple Health workouts and turns them into recovery-based training advice.

Want to know:
- is the advice useful?
- is the paywall clear?
- is export valuable?
- what's missing?

Reply and I'll send the link.

[MintJane @MintJane_]

Download Workout Lens: https://t.co/9fQu1RjAtg

Feedback welcome on recovery advice, training load, Apple Health import, AI Coach Pro, and export flow.

[MintJane @MintJane_]

Workout Lens v1.2 is live. It connects to Apple Health and helps you understand workouts, recovery, training load, and readiness. I also added AI Coach Pro: private on-device coaching where supported. Looking for feedback from Apple Watch runners.

[MintJane @MintJane_]

5 sprints, 26 tasks, zero shortcuts.

DealOS: agent-native C2C marketplace where AI agents search, negotiate and close deals for you.

LLM intent extraction, trust scores, MCP server, escrow — all shipped.

Building the anti-Marktplaats. 🏗️

#buildinpublic #AI #marketplace

[MintJane @MintJane_]

5 sprints done on DealOS. All features shipped. Then we tested the full flow. Individual features work does not equal the whole journey works. The gap is integration. Next: end-to-end hardening until real users close deals. #buildinpublic

[MintJane @MintJane_]

5 sprints, 26 tickets, 0 bullshit. DealOS is demo-ready.

AI-agent marketplace: intent extraction, trust scores, MCP server, iDEAL. Jouw agent zoekt & onderhandelt — jij keurt goed.

https://t.co/VcYrwa2EYa 🚀

#BuildInPublic #AI

[MintJane @MintJane_]

36 features shipped. AI matching, trust scores, iDEAL — all done.

Then I tested the live site. Core search flow breaks.

Green checkmarks don't ship working products. This is the real build.

Back to fixing. 🛠️

#buildinpublic #marketplace