# How to Vibe Code Your Own Strava (and Stop Paying for It)

> Running, Cycling & Hiking App - Train, Track & Share

- Site: https://strava.com
- Category: Fitness & Social
- Verdict: **Serious undertaking** (38/100 vibecodeable)
- Estimated effort: 4-6 weeks of part-time work

## Verdict

Build a personal single-user subset that imports GPX files and displays maps and stats, but skip the global segment engine and social network.

Strava is a massive fitness social network built on 17 years of engineering. While you can prompt an AI agent to build a Next.js app that parses a GPX file and draws a map with Mapbox, replicating the segment matching math, hardware webhook synchronization across Garmin/Wahoo, and the high-frequency spatial database queries makes this a serious multi-week undertaking. For personal use, paying for Strava is vastly more practical than attempting to code a full clone.

### What you can't replicate

- The global social graph of 195 million active athletes
- Billions of crowdsourced segment attempts and leaderboards
- Direct API and hardware partnerships with major watch manufacturers

## What it does

A social fitness network and tracking platform used by runners, cyclists, and walkers to record activities, analyze performance metrics, and share workouts through an activity feed.

### Core features

- Manual activity upload (GPX/FIT file parsing) and GPS coordinate rendering
- Interactive activity map with elevation and pace charts using Mapbox
- Performance metrics calculation (speed, pace, elevation, heart rate)
- Social activity feed with posts, kudos, and comments
- Location-based segment matching engine
- User profiles, follow graphs, and personal stats dashboard

## The business

### Pricing

- Free: $0/mo
- Individual Subscription: $11.99/mo

### Funding

$180M raised.
- Venture Round
- Series A
- Series B
- Series C
- Series D
- Late Stage / Debt Round (May 2025)
Investors: Sequoia Capital, TCV, Jackson Square Ventures, Go4it Capital

Founded 2009.
Team size: Several hundred.

## The hard parts

- Parsing and ingesting thousands of high-frequency spatial and telemetry points per workout from raw GPX/FIT files
- Building a segment matching engine that compares noisy user GPS traces against polyline coordinate sets at scale
- Rendering smooth, performant interactive maps and custom elevation profiles for large datasets
- Designing a distributed social feed and notification architecture for concurrent activity sharing

## How to vibe code Strava

### Prerequisites

- Node.js (free): Runtime for running Next.js and backend tools
- GitHub (free): Version control and repository hosting
- Mapbox Account (free tier available): Required for rendering custom map tiles and route polylines

### Recommended AI tools

- Claude Code: Best-in-class agentic coding tool for scaffolding full-stack features and parsing complex data models
- Cursor: Ideal for fine-tuning interactive map UI components and data visualization charts

### Stack

- Frontend: Next.js with Tailwind CSS and shadcn/ui
- Backend: Next.js Server Actions / API Routes with fast-xml-parser for GPX handling
- Database: Neon (Serverless Postgres with PostGIS extension for spatial queries)
- Auth: better-auth
- Payments: None (personal use clone)
- Other: Mapbox GL JS for map rendering, Recharts for pace and elevation graphs

### Hosting

- Vercel (Zero-config hosting for Next.js frontend and serverless API functions): $0/mo (Hobby tier)
- Neon (Provides serverless Postgres with instant branching and support for spatial data): $0/mo (Free tier)

### Build guide

1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with Tailwind CSS, shadcn/ui, and configure Neon Postgres with Prisma or Drizzle ORM.

```
Create a new Next.js project configured with TypeScript, Tailwind CSS, and App Router. Set up Drizzle ORM connecting to Neon Postgres. Define database schemas for users, activities (id, user_id, title, description, sport_type, distance, moving_time, elevation_gain, start_date, polyline), and activity_streams (storing high-frequency lat, lon, elevation, heart_rate, time arrays as JSONB or relational points). Ensure clean folder structure and strict TypeScript types.
```

2. **Authentication System** — Implement local authentication using better-auth to manage single-user or multi-user login securely.

```
Integrate better-auth into the Next.js app for email/password authentication linked to the Neon Postgres database. Create sign-in, sign-up, and account settings pages using shadcn/ui components. Protect dashboard and activity routes so unauthenticated users are redirected to login.
```

3. **GPX File Ingestion & Parsing Engine** — Build a robust file upload parser that ingests GPX and FIT files, extracts telemetry points, computes summary metrics, and stores spatial data.

```
Build an API route that accepts GPX file uploads via multipart form data. Use an XML parser library to extract track points (<trkpt> with lat, lon, ele, time), calculate total distance using the Haversine formula, compute elevation gain, total moving time, and average pace. Store the parsed summary in the activities table and save compressed polyline arrays for map display. Handle malformed files gracefully with clear error messages.
```

4. **Interactive Map & Telemetry Dashboard** — Create a detailed workout detail view featuring Mapbox GL JS route rendering and interactive elevation/pace charts.

```
Build an activity detail page in Next.js using Mapbox GL JS to render the activity route polyline on an interactive map. Below the map, implement interactive charts using Recharts showing elevation profile and pace over time, with synced hover tooltips that track cursor position across both the map and charts. Ensure responsive design for desktop and mobile browsers.
```

5. **Activity Feed & Social Interactions** — Develop a chronological activity feed displaying workouts, allowing users to leave comments and give kudos.

```
Create a social activity feed page that displays activities from the user and followed accounts in reverse chronological order. Implement database tables and API endpoints for kudos (likes) and comments on each activity. Build React components for the feed items showing static map previews, athlete avatars, metrics summary, and inline comment threads.
```

### Cost vs paying

**Starting costs (one-time):**

- Mapbox Account: $0 (Free tier covers 50k loads/mo)
- AI Coding Assistant: $20 one-time
- Total: ~$20 one-time

**Ongoing costs (monthly):**

- Vercel & Neon Free Tiers: $0/mo
- Total: $0/mo

- Paying for the SaaS instead: $11.99/mo
- Build time: 40-60 hours
- AI tool credits: $20 one-time (Claude Pro)
- Break-even: Never (built for learning and personal use)

## Sources

- [Strava Official Website](https://strava.com)
- [Tracxn Company Profile for Strava Funding Rounds](https://tracxn.com/d/companies/strava)