Kestrel

Free, open-source AI running coaching for school teams. Live at https://kestrel.jakecapmeil.workers.dev.

Running apps charge for adaptive training plans and AI coaching. Kestrel makes those open: the coach, the plans, the race models and the code. It keeps a whole team on one calendar, and it lets anyone publish running models for everyone else to use.

What it does

For an athlete

• A plan that adapts. Six plan levels by weekly mileage. The AI coach moves single days when you can't make them, eases off when readiness, soreness or illness say so, and moves you up a level after three steady weeks. Every change is checked by fixed guardrails: no big jumps, no back-to-back hard days, and the week stays within 10% of the plan.
• Kestrel AI, powered by whatever you choose. Chat with your coach about your plan, log, fitness and next meet. It runs on the free default (Gemini, with an open-weight Llama model as backup), on your own API key (OpenAI, Anthropic, Gemini, OpenRouter, Groq), or on a model on your own computer (Ollama, LM Studio). Every model gets the same prompt and the same guardrails. Your own Claude can also connect over MCP.
• Training log and watch sync. Garmin and COROS sync through intervals.icu. Each run gets a difficulty from pace and heart rate, credited for heat and hills, plus training load and how well it matched the plan. The log also keeps splits, feel and sleep.
• Fitness States. Race estimates from 100 m to the marathon, each with an 80% range, plus race VO2max, pace zones and a fitness/fatigue/form score. Includes a heat-and-hills calculator, a taper builder, and "runners like you" (a comparison with 14,000 real marathoners).
• Workouts library. Sessions written for your level, with rep targets from your own paces. You can send the next 14 days of your plan to your watch.
• Health, private. Readiness, health status and a body map that only you and your coach see.

For a team

• Anyone can start a team for their school. Others join with an invite code or link.
• Team calendar: practices (easy, workout, long run), meets and other events, with RSVPs, availability, day notes, posts, a meets list with forecasts, places, and a private calendar feed for your phone.
• The owner and any captains they name manage the calendar (including a weekly practice rhythm), edit the roster (number, grade, age, events) and build the team training plan with Kestrel AI: describe the season, refine it in chat, save. It scales to nine mileage levels so each athlete's coach starts them on the level that fits their fitness. Nothing is preloaded.
• Anyone can build their own plan the same way (Training → Plan).
• Team mileage: weekly totals and bars for the whole team. Names appear on the leaderboard only for athletes who choose to share.
• There is no coach view of anyone's training, and teammates never see each other's health, log or contact details.

Kestrel Lab (/lab): the model side.

• A directory of open running models, each with a model card, downloads, usage counts, and "try it" on your own times.
• Publish a new model or a fine-tuned one, public or private. Models are JSON files of numbers, never code, and every file is validated.
• Every athlete chooses which model makes each of their predictions.
• A developer API (/api/v1/predict) with personal API keys.
• See MODELS.md and the model cards.

Privacy and safety

• Sign-in is by Supabase: Google, or email and password with a confirmation email. Users confirm they are 13 or older.
• Identity comes only from the sign-in. Team data is read only after a membership check. The API ignores any person id sent by the browser.
• API keys for your own AI provider stay in your browser. Intervals.icu keys are encrypted at rest (AES-GCM).
• The coach never diagnoses, and it sends lasting pain to a coach, parent or doctor. Plan changes always pass the guardrails, whichever model suggested them.
• GPS routes are fetched from intervals.icu only when you open a run, cached for you alone, and never shown to teammates. Deleting your data removes them.
• You → Settings → Delete my Kestrel data removes everything about you. Terms, privacy and a health notice are at /legal.

How it is built

Part	What
src/index.js	Cloudflare Worker: the API and the rules above.
src/train/	The training engine from Kestrel Calendar: plans, coach, log, fitness, workouts, watch sync, plan push, calculators.
docs/model-research.md	Which models are on Kestrel, which to add next, and how purposes and courses work.
src/models.js	Kestrel Lab's model engine (purposes, courses, one evaluator per model kind, plus upload validation) and the adapters the fitness engine calls.
public/index.html	The app (the Kestrel views). public/kestrel.js adds sign-in, teams, the AI choice and settings; public/kestrel.css is the design.
src/train/courses.js	Courses and course PRs. 48 built-in courses (each checked against a published source, with GPS start bounds so a run is matched to its course); courses people add live in the courses table, are shared, and are chosen by hand on the run.
public/records.js	You → Records (PRs that update themselves, the courses you follow), the course picker, and a run's route (flat, elevation, and 3D terrain through MapLibre with OpenStreetMap and AWS terrain tiles).
public/lab/	Kestrel Lab.
migrations/	Cloudflare D1 (SQLite) schema.
models/	The built-in open-weight models and their cards.
scripts/	check-models.mjs (the engine matches the original KestrelPredict code and rejects bad files) and auth-stub.mjs (a local stand-in for Supabase sign-in).

Run your own

1. Make a Supabase project. Turn on Email (with "Confirm email") and Google under Authentication → Providers. Set the Site URL to your Kestrel address.
2. Put the project URL and publishable key in wrangler.jsonc (SUPABASE_URL, SUPABASE_KEY).
3. Create the database, set the secrets, and deploy:

npm install
npx wrangler d1 create kestrel_db        # put the id in wrangler.jsonc
npm run migrate:remote
openssl rand -hex 32 | npx wrangler secret put KESTREL_SECRET   # encrypts watch keys
npx wrangler secret put GEMINI_API_KEY   # optional: the free default AI (aistudio.google.com)
# optional free fallbacks, tried in this order when Gemini is busy, before Workers AI:
npx wrangler secret put GROQ_API_KEY       # console.groq.com
npx wrangler secret put CEREBRAS_API_KEY   # cloud.cerebras.ai
npx wrangler secret put OPENROUTER_API_KEY # openrouter.ai (its ":free" models)
npm run deploy

To develop locally without Supabase:

• Run npm run auth-stub and npm run migrate:local.
• Start the server with npx wrangler dev --port 8788 --var SUPABASE_URL:http://localhost:8799 --var SUPABASE_KEY:stub.
• Sign in with any email and the password password.

Origin and credits

Kestrel started as a calendar for the Hunter Kestrel running team, so everyone could say whether they were coming to practice, and grew feature by feature into a training platform for any team. It is an entry in the 2026 Congressional App Challenge. The libraries, services and datasets it builds on are in THIRD_PARTY.md.

Licence

• Code: MIT (LICENSE).
• Model weights: see models/README.md. Lite and Marathon are CC BY 4.0; Short's licence is unclear because of one of its training sources.
• Body map: body-muscles (Apache-2.0, public/vendor/body-muscles/).

Kestrel grew out of Kestrel Calendar, a team calendar and coaching app built for one high school cross-country team. The KestrelPredict research (datasets, experiments, training scripts) is in that repository, under research/hawkspredict.