Can I vibecode Bevel?

KINDA · weekend project

price $14.99/moyou'd save $179.88/yrbuild time a weekendcategory 🧘 wellnessreplaced by 0 people

Bevel is not sitting on secret data: it reads the same HealthKit records your watch already wrote, then does math and draws charts. An agent can absolutely build you a local dashboard over an Apple Health export that computes rolling averages, sleep and HRV trends, and lag correlations between habits and recovery. The gap is delivery, not analysis: real HealthKit access means an actual iOS app, Xcode, a developer account and background sync, and manual export zips get stale fast. You also lose the part Bevel spends most of its effort on, which is turning noisy sensor data into something you glance at once a day and actually understand. Fine for a curious quantified-self person, annoying for anyone who wants a phone widget.

the prompt

Build a local Apple Health analytics dashboard. Single machine, no accounts, no cloud, no telemetry.

Stack, non negotiable: Python 3.12, DuckDB for storage, Streamlit for the UI, uv for dependency management. No web framework, no Docker, no database server.

Project layout:
- ingest.py: CLI that takes a path to an Apple Health export.zip
- app.py: Streamlit dashboard
- health.duckdb: local database file, gitignored
- .env for anything configurable (default export path), read with python-dotenv

Ingest requirements:
- Read export.xml directly from inside the zip, streaming, using xml.etree.ElementTree.iterparse and clearing elements as you go. The file can be 500MB+, never load it into memory.
- Extract Record elements and Workout elements. Normalise into two DuckDB tables: records(type, source, unit, start_ts, end_ts, value) and workouts(activity_type, start_ts, end_ts, duration_min, energy_kcal).
- Strip the HK prefixes off type names so they read as sleep_analysis, heart_rate_variability_sdnn, resting_heart_rate, step_count, active_energy_burned, respiratory_rate, oxygen_saturation, body_mass.
- Idempotent: re-running on the same export replaces the tables, does not duplicate.
- Print a summary of row counts per type and the date range found.

Dashboard requirements:
- Date range picker, defaults to last 180 days.
- Daily aggregate table built in SQL: steps sum, active energy sum, resting HR mean, HRV mean, sleep hours from sleep_analysis asleep intervals, workout minutes.
- One chart per metric with a 7 day rolling mean drawn over the raw daily points.
- A correlation panel: pick metric A and metric B, pick a lag of 0 to 3 days, show the Pearson r, the n, and a scatter plot. Print a blunt caption saying this is correlation on a tiny sample and means nothing on its own.
- A weekday breakdown: mean of each metric by day of week.
- No composite "scores", no AI summaries, no advice text. Numbers only.

Deliver a README with the exact export steps from the iPhone Health app, the uv commands to run ingest and the dashboard, and one paragraph stating clearly that this needs a manual re-export to stay current and is not medical advice.

$ open in your agent (prompt prefilled, you press enter) or copy it raw · this prompt is generated from the build plan · improve it via PR

why people still pay

Because the value of health metrics collapses if you have to go fetch them. Bevel's job is to be already updated when you open your phone, with a number you trust and a sentence that explains it. A local notebook that needs a manual export every two weeks answers different questions: interesting once, abandoned by month two. People pay for the part that keeps running when their curiosity does not.

what you lose

xLive background sync; you are re-exporting a zip by hand

xA phone app, widgets and notifications

xTheir opinionated composite scores and plain-English daily readouts

xNon-Apple device integrations and whatever normalisation they do across sources

xCharts that a designer looked at

prior art · use these instead of building, if you'd rather

Nothing worth pointing at. That's why the prompt exists.

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