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ashish221singh/README.md

Hi, I'm Ashish πŸ‘‹

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.

πŸ”— Portfolio: ashish221singh.github.io Β· LinkedIn: in/ashish-singh-925749107


What I'm building

🧭 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.

πŸ“Š 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)

πŸ“‘ 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.

Selected work

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.

How I work

I run the full loop, not a slice of it:

  1. Understand the real problem β€” how the business actually operates, not just the stated requirement.
  2. 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.
  3. 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.

πŸ“« Reach me on LinkedIn Β· Portfolio at ashish221singh.github.io

Pinned Loading

  1. away-reimagined away-reimagined Public

    Away β€” a trust-first reimagining of the travel-booking app. Interactive prototype (concept work).

    HTML

  2. meet-hushh meet-hushh Public

    Meet Hushh β€” a quick-meet platform. Match with someone nearby and meet in person, fast. Expo / React Native + Firebase.

    JavaScript

  3. scout-web-app scout-web-app Public

    AI field-sales app: finds new customers near a rep and ranks them by fit. The app owns the data, a Lyzr agent owns the judgment. Next.js Β· Clerk Β· Neon Β· Prisma Β· Lyzr.

    TypeScript

  4. signal signal Public

    Signal β€” in-app CSAT/CES feedback system. Multi-tenant backend: workflow config, event-keyed eligibility, OAuth device flow, config-as-code deploy, MCP + CLI. TypeScript.

    TypeScript