AI product manager by day, builder the rest of the time. I ship AI products end to end: the reasoning, the interface, payments, deploy. Here's the running list, with a link to try each one.
Scores a startup idea on market size, competition, and real demand in about a minute, so you know before you build.
My proof I can take an AI product the whole distance: reasoning pipeline, UI, payments, deploy. Open source, and people pay 5 dollars a report. Same shape as the hard enterprise problem, pull noisy real-world signals and hand back a verdict someone trusts.
Reads a code repo's legal and security signals to flag whether it's safe to install, fork, or depend on, without running it.
Supply-chain trust, grounded in evidence instead of a gut call.
Home base and build journal for everything I ship under the nullhype name.
Building in public keeps me honest, and each project documents the next one sharper.
An app I built for my wife during her pregnancy. Science-backed reminders for nutrition, hydration, and medication, personalized to her routine, preferences, and daily inputs.
Built for one person who matters, which is the most honest test of a product. Health guidance has to be trustworthy and personal, so it is.
A health leaderboard where friends compete on staying consistent and strong.
Behavior change is a product problem, not a willpower problem. This tests whether a leaderboard can drive it.
A full web presence for a Hyderabad interior-design studio: portfolio, design philosophy, and a structured inquiry flow. Behind it sits a quotation builder and a product catalog I built to run the operations side.
Shipped for a paying client, including the working tools behind the brand, not only the brochure.
A multi-agent system I built to run my own job hunt. One source of truth for my experience, then it tailors a resume to any role, scores the fit, researches the company, and preps the interview. Reviewer sub-agents grade the output, and daily job briefings run on a schedule.
The honest way to prove I can design an agentic system is to live on one. Roughly 18 skills plus sub-agents, orchestrated and version controlled. I used it to prepare for this conversation.
An AI-analysis account on X. A content agent I built drafts in my voice and to my editorial standards.
I stay current by analyzing AI in public. The agent handles the mechanical part, I keep the judgment.
Turns my notes and point of view into LinkedIn posts. Same engine as the X agent, tuned for a different room.
Presence without the time sink. Drafting is automated, the final cut stays mine.
A lightweight Notion alternative with kanban boards, a rich-text editor, and workspace collaboration.
I wanted to see how lean a usable Notion could get, so I built one.