Close the loop.
Raise the team.
Loopd is closed-loop communication for college athletics. Coach, athlete, trainer, mental, strength — every check-in, journal note, and signal feeds one shared picture. The team feels heard, and performance follows.
- 3 min/day
Athletes log once. The model does the rest.
- No wearable required
Subjective + journal works on its own.
- Five roles, one screen
Coach / trainer / mental / strength / admin.
The athlete writes,
the model listens.
Honest journal entries are the highest-fidelity signal coaches have ever had access to. "Felt awful but ran a PR" is the kind of data sliders miss. Loopd reads it, tags it, and feeds it back into tomorrow's plan.
- 01Sentiment-1 to +1 on every entry. The model knows when the words drift dark.
- 02Keyword tagsSleep, anxious, race, soreness — pulled and surfaced for staff.
- 03Pain language detectionAuto-flags trainer when injury vocabulary appears.
One athlete.
Five staff. Same picture.
Coach, trainer, mental performance, strength, admin — every role sees the part they care about. The athlete logs once. Nobody screenshots, nobody re-explains.
- 01Athlete logs onceSliders + journal. 30 seconds. Numbers and words land in one place.
- 02Coach sees loadToday's tier + 14-day slope + risk windows for every athlete.
- 03Trainer sees flagsBody-map triage queue with severity trends + auto-routed observation notes.
- 04Mental sees noiseConfidential thread. Sentiment trend. Burnout index per athlete.
Lose the spreadsheets.
Wearables, class schedule, lifts, drills, mood, sleep, body atlas, journal — all feeding one athlete card. The full operational picture, no tab-switching.
Start where your team is.
Loopd is genuinely useful with zero wearables. Add wearable + AI interpretation when the team is ready — same product, deeper signal.
See your sport in here.
Two seeded teams, two operational stories. Login as the coach to walk through the same decisions a real staff makes on a Monday morning.
Cal Track & Field — peaking for Pac-12s
14 athletes, six event groups, one shared picture. See who's masking, who's ready, who's about to break.
- 01Athletes check in.Sliders + journal. Wearables push HRV / sleep / RHR. Each athlete's signal is calibrated to their personal scale.
- 02Loopd scores the team.Tier per athlete, 14-day slope, prediction-error flags when the body and the brain disagree.
- 03Coach opens Workflow.Athletes plotted by tier × trajectory. Prediction-error chip surfaces masking. One sprinter feels great; her HRV is in the basement.
- 04Plan adjusts.Sub the masking sprinter out of Friday's hard session. DM her. Trainer is auto-pinged. The race weekend stays on track.
Cal Basketball — comms-first optimization
Catch a starting center burning out before midterms — purely from the words he wrote.
- 01Players check in.Five subjective sliders + self-reported sleep + a sentence in the notes box. No wearable.
- 02Loopd reads the words.Sentiment trends negative on the C — keywords say 'anxious,' 'midterms,' 'rough.'
- 03Trainer + coach see it.Observation note auto-routes to staff. Mental performance gets pinged.
- 04Coach drops his minutes.DM to the athlete. Recovery program scheduled. Lineup adjusted. Without HRV — purely from the journal.
The whole staff, not just the head coach.
See trajectory before it shows up in performance.
Body-map triage + longitudinal pain trends per athlete.
Confidential channel. Sentiment trend. Burnout index.
Block authoring + completion tracking + load-aware adjustments.
Targeted announcements + travel ops + alert thresholds.
The short answer is yes.
What if our team doesn't use wearables?→
That's the design point of the Subjective tier. Sliders + self-reported sleep + journal entries are first-class — the model doesn't treat them as a fallback. Cal Basketball in the demo runs entirely without wearables.
What if some athletes have wearables and some don't?→
That's hybrid mode and it's the most common. The model uses what each athlete provides; staff sees a signal-quality flag per athlete so they know whether to lean on the trend or the slider.
Do athletes have to write a journal?→
No, but the ones who do get a substantially better fit from the model. The journal is optional even when present — leave the notes box blank and the score still works.
How is the readiness number calculated?→
Every factor is auditable — tap any line on the readiness card to see the data behind it. No hidden weights, no black-box ML. The book this app is built around argues that explainability IS the product.
What happens to my data?→
Yours. The athlete owns their journal entries; staff sees what the athlete chooses to share. Pilot teams can self-host on their own Postgres if needed. No data sale, ever.
Can it talk to TFRRS / Hudl / Bridge?→
TFRRS auto-import is wired today. Hudl and Krossover are wired through the Film Lab. Bridge for strength-program completion is supported. Wearables (WHOOP, Oura, Garmin, Polar, Coros, Fitbit, Withings, Strava, Apple Health) are pluggable; turn on what you have.
Free for the first
program you bring.
Drop a note — coach, athlete, trainer, admin. We'll set up a walkthrough on real data from your roster. The pilot is free; the only ask is feedback.
- 01Walkthrough20 minutes. Real data. Real questions.
- 02Pilot setupOne program, your roster, no wearable required to start.
- 03Data ownershipYours. Always. Self-host option for sensitive programs.