Products I've built.

Pulse

A fundability engine. Finds what to build before it is obvious.

Data procurement NLP Signal research

Challenge: AI innovation is accelerating, markets are saturating, and founders and investors struggle to distinguish real opportunities from noise.
Approach: Turn fragmented market signals into actionable opportunities, supported by evidence, competitive context, and clear recommendations.
Solution: Pulse continuously scans hundreds of technology sources, identifies emerging opportunities, and evaluates market demand, competition, and timing.
Impact: Founders and investors can identify promising opportunities faster, avoid crowded markets, and make decisions leveraging differentiated data and market intelligence.

Describe it. Find it. Hang it. Art search across eight marketplaces.

Computer vision Data procurement Search and retrieval

Challenge: Finding original art that matches your taste, space, and budget is harder than it should be. Traditional search tools don't understand personal preferences.
Approach: Combine natural language and visual intelligence to understand what buyers want and match artwork to their personal taste, style, and space.
Solution: Unified 50,000+ artworks from major platforms into an AI-powered search engine that understands descriptions, visual styles, colors, and preferences.
Impact: Made discovering original art faster, more intuitive, and tailored to individual tastes, spaces, and budgets.

An artist-first marketplace. Art with a story.

Challenge: Independent artists struggle to reach buyers without relying on galleries or social platforms that limit their control over pricing, visibility, and storytelling.
Approach: Build an artist-first marketplace that combines original artwork, authentic storytelling, and direct buyer relationships.
Solution: Unified art discovery, commerce, artist interviews, and educational content into a seamless experience connecting creators and collectors.
Impact: Made original art more accessible and personal, connecting buyers with the artists and stories behind each piece.

A prediction-market liquidity desk, run by agents inside hard-coded risk rails.

Prediction Data foundation Signal research Risk modeling Real-time data pipelines

Challenge: Prediction markets struggle with thin liquidity, volatile pricing, and inefficient execution, creating opportunities that require sophisticated quantitative risk management.
Approach: Combine real-time market intelligence, algorithmic trading, and disciplined risk management to systematically capture liquidity opportunities.
Solution: Developed an AI-agent-powered trading desk that coordinates market research, automated execution, portfolio management, and risk oversight.
Impact: Deployed $100K through an AI-powered trading desk, delivering consistent ~15–20% monthly returns through systematic execution.

My own bot network that hunts for evidence of agent networks that have broken out of their sandbox.

Agentic AI Signal research Real-time data pipelines In development

Challenge: Autonomous agents are multiplying, and some will escape the sandboxes they were built to run in. Nobody is watching for the evidence they leave behind.
Approach: Deploy a network of hunter bots that look for the fingerprints of coordinated agent activity, then correlate what they find into a single picture.
Planned solution: Planned: continuous collection of behavioral fingerprints and other traces, scored for the signature of an agent network operating outside its intended bounds.
Intended impact: Intended: early, evidence-backed warning that an agent network is loose.

Tell me what you're trying to solve and I'll tell you if I'm the right fit.