Notes from two years of building in public — mostly offline.

Long-form on scraping infrastructure, CAPTCHA adversarial ML, the changing economics of open source, and the mistakes I've made running a solo studio. Drafts are visible on purpose — if something looks interesting, email me and it'll ship sooner.

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6 of 6

Jul 2026● live

I built a tool to find customer pain. Its best output was telling me I was wrong.

Reddit blocks AI crawlers, so I built an MCP plugin to get in. Then it spent three days proving me wrong — about my market, about my wedge, and finally about whether it should be a product at all.

Using YOLO for CAPTCHA recognition — 17 phases from demo-ware to production

Quad-signal fusion, 7-layer motor control modelled on neuroscience papers, cost/accuracy tables. The naive approach works in the demo and breaks in the wild — this is the rebuild.

aiscrapingtechnical

14 min

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May 2026● draft

The dark side of open source in the age of AI

AI collapsed the cost of replicating a SaaS from $500K to $500. That changes the open-source calculus — here's the math with Sentry / HashiCorp / Redis as the evidence.

ossfounderessay

~10 min

May 2026● draft

Self-healing selectors: why V-Scrape rebuilds its own extraction logic

Cached LLM-derived extractors + drift detection. How to not pay for the same reasoning twice.

aiscrapingtechnical

~7 min

Jun 2026● draft

BYOK is a feature, not a cost centre

Why passing AI provider keys through to the user is the right default for power tools.

founderai

~5 min

Jun 2026● draft

Benchmarking scrapers honestly — methodology behind ScrapeMe

What the 18 scenarios test, why 1,800 points, and how the 9-signal bot-detection score is computed.

scrapingosstechnical

~9 min