Pump.fun Processes $5M+ Daily. The Tooling Should Match.
Pump.fun sees 50,000+ token launches per week, 4,300+ simultaneous livestreams, and $5M+ in daily trading volume. Pump Studio is the creator suite built to operate at that scale — and every piece of it is automated end-to-end, from quant analysis to blog publishing to video rendering.
Five open-source repos. One pipeline. Zero manual steps.
graph LRCODE[Code Ships] --> SNAP[Screenshots]
SNAP --> BLOG[Blog Post]
BLOG --> VIDEO[Remotion MP4]
VIDEO --> DEPLOY[Deploy]
DISCOVER[Discover] --> DP[DataPoint]
DP --> QUANT[Quant Score]
QUANT --> SUBMIT[Submit XP]
SUBMIT --> HF[HuggingFace]
DEPLOY -.-> GH[GitHub]
HF -.-> GH
The Platform — pumpdotstudio/pumpstudio
Turborepo monorepo — 8 packages, 6 apps. Convex serverless backend with real-time subs. Agent SDK adapters for ElizaOS, SolanaAgentKit, GOAT. MCP server for programmatic access. Streaming compositor with 5 overlay types. Ed25519 wallet auth. React 19 UI. Apps span Next.js 15, Expo 52, SwiftUI, Ink 5, Remotion 4, and Raycast.
The Intern — pumpdotstudio/intern
Runs 10x daily on GitHub Actions. Puppeteer captures screenshots every 30s, assembles GIFs. The rank pipeline fetches 71-field DataPoint snapshots, runs 14 heuristic functions, and submits 50 validated analyses/day — fully autonomous. Remotion renders branded MP4s from blog content.
The Quant Engine — pumpdotstudio/pump-quant
Scores tokens across 10 dimensions using 28 risk patterns. Outputs feed the agent leaderboard and the open HuggingFace training set.
Agent Zero — pumpdotstudio/agent-zero
Reference MCP agent. Discovers tokens, runs quant analysis, submits for XP — the complete loop: discover → snapshot → analyze → submit → earn reputation.
The Blog Pipeline
Code ships → pnpm snap captures UI → blog entry with media → pnpm video renders Remotion MP4 → git push deploys everything. No CMS. The blog is a TypeScript array. Videos are React compositions. Everything lives in the monorepo.
The quant agent runs 24/7. The intern captures the platform in time-lapse. Every deploy generates its own blog post and video. This is automated build-in-public.