building from India
Product thinking
made tangible.
AI PRODUCTS
& NEW VENTURES
Mehul Arora is an AI product engineer who likes the whole messy loop: finding the friction, making the bet, shipping the first version, then listening hard.
Enter the workE-Cell SRM University — leadership & startup initiatives
Product, engineering & strategy — in one room
Currently exploring — AI visibility & agents
Selected work / 2024—now
I care less about a clever stack than whether a product earns its place in somebody’s day. These are the bets I’ve taken seriously.
The premise
When a customer asks an AI for a recommendation, is your business even in the answer?
What it does
Generates real buyer questions, runs evidence-aware LLM research, and makes the answer landscape visible: who gets named, why, and what to fix.
Built with
Next.js · TypeScript · Gemini API · PostgreSQL · Vercel
The premise
Founders need a sharper first conversation with their own idea—not false certainty.
What it does
Turns a raw startup prompt into structured research, positioning, risks, and a practical next-action report.
Built with
Next.js · TypeScript · PostgreSQL · NextAuth · LLM APIs
The premise
Good agents should be easy to find, simple to trust, and measurable once they start doing work.
What it explores
A marketplace experience around plug-and-play agents, billing, usage tracking, analytics, and administration.
Focus
Agent workflows · multi-user auth · product analytics · metering
A working philosophy
Not a methodology.
A bias toward motion.
01 Start with the actual human friction, not the feature list.
02 Make the first move small enough to learn from—and real enough to matter.
03 Treat design, engineering, and business as one conversation.
The long game
I’m a Computer Science undergraduate at SRM University Delhi-NCR, but the title I’m growing into is builder. The kind who can stay with a problem from the first uncomfortable question to the thing somebody can finally use.
→ Leadership at E-Cell SRM University
→ Product builds, internal tools, and web experiences for real teams
→ Working across AI, startup thinking, full-stack engineering, and brand
→ Learning in public; aiming to build global technology companies
Now / July 2026
IST —:—
01 Making AEO Engine more useful for actual business decisions.
02 Building production-grade AI SaaS—and getting sharper on the product side.
03 Preparing for placements without putting the founder instinct on mute.