Loopd.ai
Pilot pricing — first program free

Close the loop.
Raise the team.

Loopd is the staff platform for college athletics — coach, trainer, mental, strength. Every athlete check-in, journal note, and signal lands on your screen already read, ranked, and routed. You walk into practice already knowing who needs you.

  • 3 min/day

    Athletes log. You walk in already knowing.

  • No wearable required

    Sliders + journal alone produce a real signal.

  • One staff view

    Coach, trainer, mental, strength — same picture.

Closed loop

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.

  • 01
    Athlete logs once
    Sliders + journal. 30 seconds. Numbers and words land in one place.
  • 02
    Coach sees load
    Today's tier + 14-day slope + risk windows for every athlete.
  • 03
    Trainer sees flags
    Body-map triage queue with severity trends + auto-routed observation notes.
  • 04
    Mental sees noise
    Confidential thread. Sentiment trend. Burnout index per athlete.
OOPSCCOACHTTRAINERMMENTAL PERFORMANCESSTRENGTHAATHLETE
Coach intelligence

Read your roster.
Skip the 30 meetings.

Every athlete's check-in lands on your screen already read — sentiment scored, keywords pulled, the right flags routed to the right staff. You walk into practice with a real picture of where every kid actually is.

01 · PASSIVE · ATHLETE → AIfelt rough. anxious about midterms.slept like 5h. legs heavy.practice was a slog today.+ sliders · HRV · sleep · medical→ ADMIN · ROSTER OVERVIEWCAL T&F · 14 ATHLETESCSVPDFTRAVELATHLETEEVENTTIERMEDJMJ. Martinez100mCLEARTST. Singh800mHOLDRDR. Davis400mCLEARMRM. Rivera100mCLEARMANAGED BY OPS · SYNCED 7:12a · 4 of 14 shownAIASSISTANTREADS · ROUTES · ANSWERS02 · ACTIVE · COACH ⇄ AICOACH · 7:14a"Readiness for the Eugenetravelers this weekend?"pulled from admin roster ↑← AI REPORT · TRAVELERSAI · 7:14a · 3 travelersPulled from admin roster & medical:MRM. Rivera100m · Rm 312 · Fri 6:40a81CLEARAKA. KhanLJ · Rm 314 · Fri 6:40a58CLEARTST. Singh800m · Rm 316 · trainer ping52HOLDSuggest: drop T. Singh from Friday hard set?
  • 01
    Spot who needs you
    The model surfaces athletes drifting before performance does.
  • 02
    Read between the lines
    Sentiment + keywords pull what the quiet kids won't say out loud.
  • 03
    Routed, not piled
    Trainer + mental flags peel off automatically — the head-coach view stays clean.
One screen

Lose the spreadsheets.
Open one tab.

Wearables, classes, lifts, drills, mood, sleep, body atlas, journal — eight feeds converge into a single athlete card. Coach, trainer, mental, strength: same data, role-appropriate view.

WearablesClassDrillsLiftsMood78ONE ATHLETE
Eight feeds · One athlete card · Zero tab-switching
WearablesClassLiftsDrillsMoodSleepBody atlasJournal
Live preview

The same signal.
Two views.

The athlete logs once. The staff opens the picture they need. Two seeded demos — walk through the exact Monday morning a real Pac-12 staff makes.

loopd.ai/coach
Live
Workflow
Cal Track & Field · Mon
14 athletes · 6 event groups
Six-pillar readiness · today
JM
J. Martinez
Ready
78
read
HRVSleepMoodEnergyRecoverySentiment
On track · race weekend
TS
T. Singh
At risk
52
read
HRVSleepMoodEnergyRecoverySentiment
Sentiment ↓ 3d · masking flag
RD
R. Davis
Watch
65
read
HRVSleepMoodEnergyRecoverySentiment
HRV trend +6 · clear to push
At risk · 2Watch · 4Ready · 8Auto-routed → trainer · 1 / mental · 1
Coach view

What the head coach opens at 7am. Workflow scatter sorts the roster by tier × trajectory; the side rail surfaces who needs a check-in today.

Try coach demo →
loopd.ai/athlete
Live
Today · Mon
Hey Taylor — let's check in.
30s · last logged 22h ago
Readiness
61amber
HRV 56RHR 54Sleep 6h
ENERGY64
MOOD48
SLEEP72
SORENESS32
Journal · todayauto-saved

felt rough. anxious about midterms.
slept like 5h. legs heavy.

anxioustiredsleep -3h
Athlete view

The 30-second daily check-in. Sliders + journal feed the readiness ring; the body atlas captures soreness flags the trainer is auto-routed to.

Try athlete demo →
Two ways in

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.

Subjective
Communications tier
Free pilot
★ Performance
Wearable + AI tier
When ready
Daily check-in
Journal + recaps
AI sentiment analysis
Staff DMs
Trainer + coach notes
Body-flag triage
Calendar + conflicts
Strength blocks
Self-reported sleep
Subjective readiness
Wearable sync
HRV-driven readiness
Prediction-error detection
Anticipatory cost
Auto result imports
Lite
Sport-specific lineups
Burnout index
Lite
Time-to-peak forecast
Lite
Try it
Two seeded teams, two demo logins. Same app — different signal mixes.
Basketball demohoops-coach@example.compassword123Open →Track & Field democoach@example.compassword123Open →
Built for

The whole staff, not just the head coach.

Coach

See trajectory before it shows up in performance.

Trainer

Body-map triage + longitudinal pain trends per athlete.

Mental performance

Confidential channel. Sentiment trend. Burnout index.

Strength

Block authoring + completion tracking + load-aware adjustments.

Admin / Ops

Targeted announcements + travel ops + alert thresholds.

Common questions

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.

Pilot it

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.

  • 01
    Walkthrough
    20 minutes. Real data. Real questions.
  • 02
    Pilot setup
    One program, your roster, no wearable required to start.
  • 03
    Data ownership
    Yours. Always. Self-host option for sensitive programs.
We won't share this.
Loopd.ai