Pre-seed · 2026 · Confidential
fitMatch matches you with a real training partner: someone at your strength, on your schedule, training near you.
The problem
~50%
of Americans say they're intimidated to work out in front of others.
65%
of women avoid the gym for fear of being judged. For men it's about 36%.
~50%
of new members quit within six months. No partner, no accountability, no reason to show up.
People don't quit because they hate the gym. They quit because nobody's waiting for them there.
Why now
The opening
CONNECTION THAT EARNS THE WORKOUT
Not another feed to scroll.
The solution
A real gym friendship is simple: same strength, same hours, same neighborhood. fitMatch matches on exactly that.
01
Real numbers
Bench, squat, deadlift. Train with someone at your level.
02
Real schedule
Match on the hours you actually lift.
03
Real proximity
A spotter blocks away, not cities away.
04
Real fit
Personality and training style, so you click.
Every lifter and trainer we show this to asks the same thing: why doesn't this already exist?
How it works
Match
Swipe a deck filtered by lifts, schedule, distance, and style. Mutual right-swipes connect you.
Check in
Tap in at your gym and the map shows who's there right now. No more "you up?" texts.
Train
Meet, lift, log it. Groups, challenges, and leaderboards keep you both coming back.
Accountability is the whole game. People who commit to a goal and report it to someone hit it far more often: 76% vs 43% (Dominican University). fitMatch builds that loop in.
The moat — what we're building
Today, matching runs on your real numbers, schedule, and location. As people swipe and train, that same data trains an engine a new entrant can't copy.
Smart matching
Compatibility scoring that learns from who you swipe, message, and actually train with.
Icebreakers
After a match, an opener pulled from both profiles. Fewer dead matches, more real sessions.
Natural-language search
"Find a morning powerlifter near me into crossfit," typed the way you'd ask a friend.
On the roadmap, funded by this raise. The data starts compounding the day we launch.
Market
Fitness app market
$33.6B
by 2033, growing 13.4% a year from about $12B today (Grand View Research).
US gym members
77M
1 in 4 Americans. They spend around $69 a month.
Proof of category
195M
Strava users, $2.2B valuation, now filing to IPO.
Win a sliver of the 77M who train alone, at a few dollars a month, and the model works.
Competition
| Strength matching | Schedule + proximity | AI engine | Privacy first | Full platform | |
|---|---|---|---|---|---|
| fitMatch | |||||
| Gymder | — | — | — | — | |
| Spotter (several apps) | — | — | — | — | |
| Swolemates / Tag Team | — | — | — | — | |
| Strava / Jefit | — | — | |||
| Bumble / dating apps | — | — | — | — |
The buddy-finders match on a photo and a vibe. The trackers like Strava and Jefit have your numbers but won't find you a spotter. Nobody does both.
Why we win
Strength-based matching
The only app that pairs on real numbers and training style. The thing lifters actually care about.
Network density
A matching app is only as good as who's nearby. Every new local lifter makes everyone else's matches better.
Privacy by design
Private profiles, follow requests, real moderation. Gym content gets sexualized; we protect members and keep them.
A whole platform
Feed, groups, challenges, structured logging, verified leaderboards, trainers, check-ins. Retention, not a one-time match.
Business model
Free
The floor
Discover, feed, DMs, 25 swipes a day, and a peek at the leaderboards. Enough to find a partner and get hooked.
Premium
The engine
Unlimited swipes, advanced filters, analytics, verified badge, and the full leaderboards. The core revenue line.
More
The upside
Trainer marketplace take-rate, and an invite loop: every signup earns the inviter 7 days of Premium.
Payments are built and running in demo mode. They go live the day funding lands.
Traction · product
Straight up: it's built and demo-proven, but pre-launch. Those 16k users are simulated, not real. This raise is to go get the real ones.
Roadmap
getFit — AI training engine
Personalized workouts by goal, level, and equipment, animated demos, and per-muscle fatigue tracking that rotates recovery.
Native iOS app
HealthKit-verified workouts and push. Meet members where they already are.
Verified-workout badges
Health-synced proof of real training on every profile. Foundation already shipped.
AI matching + icebreakers
The learning engine that turns swipes and sessions into better matches.
Live trainer rooms
1-on-1 video coaching on a real streaming platform.
Go live & stories
Stories, video posts, and live broadcasts to your followers.
AI trust & safety
Image moderation and harassment detection feeding the reports queue.
The ask
Enough runway to launch, get the first real users, and prove the matching engine in the wild.
40%
Growth & launch
User acquisition in launch cities.
25%
AI matching engine
Compatibility scoring + data pipeline.
20%
Native iOS app
Ship the mobile product.
15%
Payments & infra
Take billing live; scale the backend.
Use-of-funds split is a starting point, not a straitjacket.
Team · contact
Montez French
Founder & CEO — [Lead Technologist]
Bobby Taylor
Consultant — [Certified Trainer]