I'm Sunil — I've spent my career building large enterprise systems. Outside of work, I used to wonder what to do with all that restless energy. Now I know: I build small, useful things — channeling years of product experience and new learnings into everyday problems that actually matter to me. This is my workshop.
Projects, prototypes, and small experiments I'm shaping into useful things.
I kept saving things and never finding them again. Tuck is my attempt to fix that — a save-anything app for links, notes, ideas, and the stuff that matters.
An embeddable AI chat widget for local businesses — answers questions about menus, hours, and reservations so owners don't have to.
AI-powered missed-call text-back for small businesses. Automatic SMS replies, lead tracking, and follow-up conversations.
A family accountability app where kids build habits through responsibilities, points, and streaks. Built for our household first.
A household operations dashboard — vehicles, appliances, bills, maintenance schedules. Because adulting has too many moving parts.
A local-first household expense analyzer. Processes bank CSVs, finds savings patterns. Zero cloud, zero data sharing.
A daily 7 AM push notification with what's for lunch at the kids' schools. Tiny build, genuinely useful every morning.
Short notes on building, learning, product thinking, AI, and the messy middle of figuring things out.
Not every project needs a launch moment. Some things get better by being shared while they're still rough.
The projects I keep coming back to are usually small, practical, and close to real everyday friction.
Most AI features feel bolted on. The ones that click are the ones you stop noticing — they just make the thing you were already doing a little easier.
A practical toolkit for turning rough ideas into something I can test, learn from, and improve.
Using AI coding tools to move from idea to working prototype faster — while staying hands-on with product judgment, UX, and tradeoffs.
Starting with the problem, the user, and the moment of friction before jumping into features.
Keeping decisions, prompts, backlog, and lessons written down so projects don't disappear into scattered chats and tabs.
Building in small, testable steps instead of waiting for the perfect version.
The thread through it all: building useful things, learning in public, and following curiosity into the next chapter.
Years of enterprise systems, IT operations, customer experience platforms, and large-scale services. Valuable, complex work — but it slowly became clear that the most interesting problems are often the simplest ones.
Building smaller, more personal things. Problems I actually have. Tools that fit into daily life without requiring a training manual. Walks, dog time, kids, thinking space — and then building.
If I don't feel the problem, I don't think anyone else will either. Practical AI, everyday tools, and sharing what I learn along the way.
If something here sparked a thought, I'd be happy to hear from you — especially if you're building, exploring practical AI, or figuring out what comes next.