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Slipstream

Train and compete with running buddies on the other side of the world, challenge others or run against the best.

The Problem

Sports people want to compete, but training alone means no one to pit yourself against.

Whether you're a runner, cyclist, or swimmer — your best performances happen when there's something to chase. A training partner, a rival, a record. But finding someone to compete with at the right time, on the right route, at the right level? That's rarely possible when you're heading out alone.

Slipstream solves this. You race a recording of your past self, or compete against others to see how you stack up — in real time, on the same route, via GPS. The competition is always there, whenever you are.

How It Works

01

Run a route

Open Slipstream on your phone, start a run. The app records your GPS position throughout.

02

A ghost is saved

Your run becomes a ghost — a precise replay of your position at every moment along the route.

03

Race it next time

Next time you run the same route, your ghost runs alongside you. You see in real time whether you're ahead or behind.

04

Challenge others

Share routes, race other people's ghosts, and compare how you stack up — wherever they are in the world.

See It In Action

Demo video coming soon

In the meantime, try the live app below

Build Stages

Stage 1

Concept

Defined the core problem and validated that ghost-racing was the right mechanic to solve it.

Stage 2

MVP / Prototype

Built the first working version — GPS tracking, ghost recording, and basic run comparison.

Stage 3 — Now

Core Loop Built

Live GPS tracking, ghost racing, real-time position indicator, and run summary are all working. Iterating on the prototype and preparing for select-group testing.

Stage 4

Beta / User Testing

Releasing to a select group of real runners. Gathering structured feedback before widening access.

Stage 5

Freemium / Growth

Introducing a paywall model, social sharing, and wider distribution.

What's Next

  • Iterate on the prototype based on initial self-testing — fixing edge cases in ghost position calculation and run summary accuracy
  • Release to a small select group of runners for first real-world feedback
  • Design the social layer — how runners share routes and challenge each other across distances