Each one started with a process that was too manual, too slow, or too dumb to keep doing by hand. Click through for the full story.
Chrome extension that turns Luma event guest lists into LinkedIn connections automatically. Reverse-engineered LinkedIn's internal Voyager API. Launched at SXSW and Shoptalk. Real users, real complaints, constant platform adaptation.
Built a pipeline that reverse-engineers any D2C brand's growth engine from API data and automated scraping. Mapped 13 luxury jewelry competitors in 48 hours. Found the hidden pattern: across all 13, a tiny cluster of creators drove 25-60% of total influencer engagement.
AI powered referral discovery for an acupuncture practice. Multi-channel outreach across Instagram, Gmail, and events. The most complete build: live campaign, real results, full operations stack.
Projects built because the problem was interesting. Less polished, more fun.
4 specialist agents debate financial scenarios in 3 structured rounds. Built to explore peer-to-peer orchestration patterns where agents challenge each other's reasoning, not just answer prompts.
Automating outreach on China's most hostile anti-scraping platform. Human-speed typing simulation, behavioral pattern matching, and cross-platform data bridging between analytics and engagement.
Body journal → BJJ journal → open mat finder. Three pivots based on community signal. Reddit viral launch. 60+ organic submissions from across the US with zero ad spend.
Not just building with AI. Building frameworks for how to build with AI. Each is a Claude Code skill used across all projects above.
Original framework built from neuroscience. Every interface is a prediction error decision. 5 cognitive layers, 8 failure modes, 3 output formats.
Reverse-engineered from Claude's system prompts. 14 sections, 12 common mistakes, 4 prompt types. Used to build every agent in this portfolio.
Catches AI tells by structural pattern, not just phrases. Integrates brand voice matching for consistent output.
GTM operator turned builder. I find processes that are too manual, too slow, or too dumb, and I build the AI systems that replace them. Targeting GTM + Partnerships roles at Series A–B AI companies.