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— Case Study · Joyride

A 9-month MVP, built in 30 days by one person.

The estimate was three engineers and nine months. We handed the tools to the product manager instead — and shipped the MVP, plus additional features, in 30 days for $100 a month.

Type Startup we built
Company Joyride
Industry Rideshare / Marketplace
Timeframe 30 days
Situation

A rideshare where drivers keep 100%.

There was an opportunity to build a new kind of rideshare platform — one where drivers keep 100% of the fares. The level-of-effort estimate for building the MVP was three engineers and nine months.

Task

Compress the cycle time.

Speed up the build cycle using Claude Code, a leading AI coding tool.

Action

One product visionary, plus AI.

We put the tools directly in the hands of the product manager who had developed the vision for the product and the business — and took the traditional build team out of the loop entirely.

What we changed
  • Empowered the product manager with Claude Code and Claude design.
  • Subscribed for tokens on Anthropic at $100 per month.
  • Removed engineers and designers from the development process.
Inside the product

What 30 days actually shipped.

Joyride driver home screen showing online status, a live map, and hot spots with demand multipliers.
The driver goes online — live demand, and where the hot spots are.
Joyride bid screen showing the driver's bid amount, a transparent fare breakdown, and the ride details.
Drivers name their price — a transparent fare breakdown, and a bid the driver controls.
Joyride rider screen comparing available drivers by price and rating, each with a Book button.
The rider compares the bids — sort by price, wait, or rating, and book the one you want.
A Joyride driver profile showing rating, rides completed, vehicle, and a Book A Ride button.
Every driver has a profile — rides completed, rating, vehicle, and who they are.
Joyride match found screen showing the matched driver, the agreed price, a confirm-ride button, and a link to additional driver options.
Match found — confirm at the price you agreed, or open the other driver options.
Joyride rider tracking screen showing the driver en route, with a warning that the rider is away from the pickup point.
Live tracking — pickup time, ETA, and a warning if the rider drifts from the pickup point.
Joyride rider screen confirming the rider is at the pickup location while the driver is en route.
Geofenced pickup — the app confirms you're in the right spot before the driver arrives.
Joyride earnings report showing total payout, tips, active hours, and a weekly earnings chart.
The driver gets paid — total payout, tips, and per-active-hour stats.
Joyride rider feedback screen showing an overall rating, category ratings, and ride-by-ride reviews.
Rider feedback — anonymous ratings by category, ride by ride.
Result

30 days, 96% less cycle time.

One part-time product visionary completed the MVP build — plus additional features — in 30 days. Cycle time fell 96%, from 2,268 hours to 84. Along the way we developed an entirely new process for AI-native product development.

The outcome
  • 30 days to a complete MVP plus additional features — one part-time product visionary.
  • 96% cycle-time reduction — from 2,268 hours to 84.
  • $100 per month in tokens, in place of a three-engineer, nine-month plan.
  • A new process for AI-native product development.
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