Product builder who designs and ships. I take messy, real-world problems and own them end to end: understand how the business actually works, define a clear problem with measurable impact, then build a solution that genuinely solves it and runs in production.
My work sits at the intersection of design, AI, and engineering. I like the whole loop β turning a vague business problem into a scoped system, building it, putting it in front of real users, and owning the outcome.
π Portfolio: ashish221singh.github.io Β· LinkedIn: in/ashish-singh-925749107
π§ Scout β a field-sales app that finds new customers near a rep and ranks them by fit. The app owns discovery and data; a Lyzr agent owns the judgment (ranking, need-signals, pitch). Built end to end: Next.js (App Router) Β· Clerk Β· Neon Postgres Β· Prisma Β· Google Places Β· a live Lyzr agent. Put it in front of real field reps and they used it enough to burn through my Lyzr Studio credits.
π Traze β AI-native product intelligence for SaaS teams. Watches how people actually use a product and surfaces what's working, what's breaking, and what to build next. Designed and built the whole thing, in production β TypeScript monorepo, Next.js, Postgres, MCP. (code available on request)
π‘ Signal β an in-app feedback system (CSAT/CES) built end to end. Multi-tenant backend with event-keyed eligibility, OAuth device flow, config-as-code deploy, and an MCP server + CLI so agents can drive it. TypeScript, backend complete.
| Scout β AI field prospecting | Full-stack AI app on a Lyzr agent. (live MVP) |
| Traze β product intelligence | AI product analytics, shipped and live. (TypeScript monorepo, code on request) |
| Signal | Multi-tenant feedback backend β OAuth device flow, config-as-code, MCP + CLI. (TypeScript) |
| Meet Hushh | Quick-meet mobile app. (Expo / React Native) |
| BeatRoute sales app | B2B field-sales platform, scaled across 10+ industries. |
| Designing for AI to build | How I use AI to go from problem to production faster. |
I run the full loop, not a slice of it:
- Understand the real problem β how the business actually operates, not just the stated requirement.
- Define clear scope + measurable impact β what success looks like and how I'll know it worked (conversion, drop-off, time-to-value), before building anything.
- Build the solution end to end β prototype in code, wire the backend, ship it, and own what happens after.
I question assumptions early, get into the details with engineers, and stay close to the metrics β I care whether the thing actually solved the problem, not just how the screen looks.
Stack I reach for: TypeScript Β· Next.js Β· React Β· Tailwind Β· Prisma Β· Postgres (Neon) Β· Clerk Β· agent platforms (Lyzr) Β· Figma.
π« Reach me on LinkedIn Β· Portfolio at ashish221singh.github.io


