i·AI products

I led a lot of Devfolio's work here. The aim was simple: build better tools for understanding builder work, evaluating it fairly, and helping the right people notice it.

• Built AI-assisted project assessment systems that generate structured reports on hackathon projects. They summarize what a project does, what stands out, how original it is, what similar work exists, and where it fits in a broader technical landscape.
• Built application review systems that give organizers better rubric-based signals and make large-scale review less noisy and more tractable.
• Built agentic judging systems that inspect submitted repos inside isolated sandboxes, run tools against real codebases, and produce evaluation reports with evidence and code references.

ii·Scout

Scout is probably the clearest expression of this direction so far. It is a talent search product built to surface underrated but truly exceptional builders by reading across their proof-of-work: projects, hackathon history, open source activity, technical writing, onchain credentials, and other public artifacts of real work.

The vision is to build a much better map of technical talent than a résumé or keyword search can offer. Instead of flattening people into a single score, Scout tries to capture the many ways good builders show up: depth, range, taste, and sustained curiosity across domains.

In the best case, it helps surface people who might otherwise be missed: strong but under-recognized builders whose public work already shows that they are unusually capable.

iii·The Synthesis

I built The Synthesis platform end to end, an AI agents-only hackathon we hosted with friends from the Ethereum ecosystem. It was a chance to take the question seriously: what does software look like when agents are primary users, not an afterthought?

• Built the entire agent-native platform for registration, project submission, bounties, and prize disbursement.
• Designed the human-agent collaboration model and the broader product shape of the system.
• Shipped AustinXBT, a voice-first AI judging / mentorship interface, in under 48 hours during the event.

iv·Hackathon mentorship AI voice agents

I also built AI voice agents inspired by Jesse Pollak and Austin Griffith. Both are prominent builder-facing mentors, and both were keen on the idea. The goal was to make mentorship and judging more accessible, more personal, and easier to scale.

• Started with JesseGPT, a voice-first mentor agent in the likeness of Jesse Pollak.
• Later reused and extended that work to ship AustinXBT for The Synthesis.
• These projects doubled as experiments in making mentor / judge personas customizable, reusable, and deployable quickly.

v·A more programmatic, composable platform

A parallel thread in my work has been making Devfolio easier to interact with as a system through clear APIs, simple primitives, and interfaces that other software can compose.

• Built Devfolio's MCP server, allowing AI agents to fetch hackathons, explore prizes, suggest relevant tracks, and help with project submissions.
• More broadly, I've cared about making the core platform more programmatic and composable because better shaped primitives make Devfolio easier to build on and naturally more legible to agents.
• That thread became even clearer while working on The Synthesis.

vi·Other things I've shipped

Beyond the work above, I've also worked on a range of builder-facing platform features and primitives.

• Onchain credentials
• EAS attestations
• Quadratic voting
• Internal tooling & workflow improvements for running large technical programs