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Harjot Singh Rana

Full-Stack & AI Product Engineer

All projects

Moonshift

AI app builder that turns prompts into deployed full-stack applications. Multi-agent generation pipeline, SSE real-time observability, and production usage by 1,200+ users generating 800+ apps.

Live
Screenshot of MoonshiftScreenshot of Moonshift (dark mode)

Problem

Founders wanted to turn a plain-English idea into a real, live app, but too many of the automated builds failed part way.

What I did

As the founding engineer (January to August 2026), I rebuilt the system that plans, writes, checks and fixes the app, and added a live view so users could watch each step.

Result

Successful builds rose from 46.2% to 76.7% and the time from prompt to live app fell from 22.1 to 14.9 minutes, with 1,200+ users and 800+ apps built.

Case study

Situation

Moonshift helps founders and developers turn a natural-language idea into a launched product on their own infrastructure. A successful run had to produce more than a demo: a real app, a GitHub repository, a Vercel deployment, and a launch kit.

Constraint

Multiple agents and external side effects had to work together without hiding cost, reliability, or publishing decisions from the user. Deployment and social publishing needed explicit approval gates.

Stack

TypeScriptPythonNext.jsPostgreSQLNode.jsOpenAIDocker

What I built

  • Rebuilt the multi-agent pipeline around research, planning, validation, and fixer loops.
  • Added live SSE observability for phases, agent state, assets, deploys, and approvals.
  • Added cost caps, resumable runs, and GitHub, Vercel, Turso, Playwright, Docker hooks.

Outcome

Raised end-to-end generation success from 46.2% to 76.7%, cut median prompt-to-live time from 22.1 to 14.9 minutes, and supported 1,200+ users generating 800+ apps. The run dashboard streamed 7.3M+ SSE events across 2,000+ runs.

Role
Founding Engineer
Timeline
January–August 2026

Technical detailBun + TypeScript monorepo; Next.js dashboard; orchestrator-v2; SSE; Drizzle/Turso; Vercel; GitHub; Playwright; Docker.

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Key features

  • Prompt-to-deploy full-stack app generation
  • Multi-agent LLM orchestration pipeline
  • Real-time SSE observability at multi-million event scale
  • Production use: 1,200+ users, 800+ generated apps