William Cody Stanford
@wcstanford
Director of AI | Techstars Alum | Neuroscience PhD Learning maximalist focused on building superlinear returns at the intersection of AI and Neuroscience
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How to turn your website into a revenue generating machine give Claude Code / Codex etc this checklist
THAT app is doing $1m ARR? lol it’s just a Postgres + AWS wrapper
Why building in public works: Constant feedback keeps you honest. Transparency forces simplicity. Openness makes adaptation frictionless. While private builders accumulate knowledge slowly, protect brittle systems, and resist change... Public builders learn faster, stay…
We're not building better AI We're building better infrastructure for what comes after us
Some sources of alpha that require no real skill: - having longer time horizons than others - being much more focused or much more bundled - believing the consensus thing harder than others - placing no value on status
Why big corporations fail: They optimize for low Model Complexity (C): Standardized processes, predictable systems. But this creates massive Update Costs (K): Too expensive to change course. So Predictive Error (H) explodes: Their model of reality becomes increasingly wrong.…
The most selfish thing you can do in our networked economy is give away everything you know for free. Hoarding knowledge compounds linearly. Sharing it compounds exponentially. This is why building in public works.
the penalty for being average has never been so severe, but the payout for being extraordinary has never been higher.
AI tools create exponential learning curves by removing friction from the exploration-synthesis-application cycle, turning what used to take weeks into hours of compound acceleration:
AI as a personal intellectual catalyst: ❯ On-demand expertise when you need it ❯ Learning compressed from months to days ❯ Creative blocks dissolved in real-time ❯ Time given back for deeper work ❯ Cognitive capacity amplified 10x ❯ Life decisions reshaped by velocity…
Learned a lesson about working with mentally unstable people today. Don't.
🎉 I just got my Product Psychology certification from @GrowthDotDesign. Can’t wait to use what I learned in the program to build better experiences for our customers. growth.design/certificates/a…
We tested the latest open source models on Vending-Bench: Qwen3-235B, Kimi K2, Deepseek 3.1, gpt-oss-120b, and Llama 4 Maverick. The results show that open source models still lag significantly behind the state-of-the-art closed source models on long-context coherence.
Hi all, I'm interested in automating all aspects of shipping SaaS products. Anyone building, or using, interesting tools to help out with this?
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