Design Engineer crafting interfaces where motion meets code. React, TypeScript & animation systems. Building delightful web experiences pixel by pixel.

Dallas, TX
Joined April 2018
Spotify Chief Architect, Niklas Gustavsson: "Once we implemented loops in our workflow, our agent success rate went from 20-30% to 80%." 26 minutes with Claude Code creator Boris Cherny on how Spotify runs AI agents across 20 million lines of code. Today 73% of their code is written by AI, most merged without a human ever seeing it. The model matters less than the loop you build around it. Watch it, then read the full guide on building loops below.
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Git isn't just a tool, it's a time machine for your code. Every commit is a snapshot you can return to, every branch is a sandbox to experiment in. Master Git and you'll never fear making changes again. #SoftwareDev #CleanCode #DevTips #Programming
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Today we're introducing Claude for Social Media. Just enter your website and Fastlane creates thousands of viral videos promoting your product in one click. This is truly insane.
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An Overview of Modern AI Robotics from First Principles. interlatent.com/blog/interla…
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REST APIs are just a menu for data. GET to fetch, POST to create, PUT to update, DELETE to remove. Master those four verbs and a URL, and you can talk to almost any service on the internet. #WebDev #Frontend #BuildForTheWeb #100DaysOfCode
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boomurl — Publish a Website Generate a website and publish it live in seconds. boomurl gives any HTML/CSS/JS a real HTTPS URL — no account, no build step. Sites belong to YOUR email. chatgpt.com/g/g-6a2aad2c3098…
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Every webpage visit is just your browser saying “GET me that page” and the server replying “200 OK — here you go.” Master HTTP methods & status codes and the web stops feeling like magic. #WebDev #Frontend #BuildForTheWeb #100DaysOfCode
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If you, like me, struggled to get the expected outcome when generating video content by prompting. #GoogleOmni brings, not just the, IMHO, maybe the best video model, but also a prompting masterclass under the hood. Enjoy! #google #AI deepmind.google/models/gemin…
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Here are 10 GitHub repos that quietly print money while you sleep. 1. Cal. com Open-source Calendly. Fork it, white-label it, sell to dentists and lawyers for $200/month. The founders hit $5M ARR in 3 years doing exactly this. Repo → github.com/calcom/cal.com 2. Plausible Analytics Privacy-first Google Analytics. Self-host it, resell to agencies for $50/month per client. Two founders bootstrapped this to 7 figures. Repo → github.com/plausible/analyti… 3. Ghost Open-source Substack with 100% margin. 1,000 readers at $5/month equals $60,000 a year. Forever. Repo → github.com/TryGhost/Ghost 4. n8n Open-source Zapier. Sell automation services for $500-$2,000 per setup. n8n raised $14M because the agency model behind it works. Repo → github.com/n8n-io/n8n 5. Supabase Free Firebase replacement. Build a SaaS in a weekend, charge $29-$99/month. They raised $116M for a reason. Repo → github.com/supabase/supabase 6. Medusa Open-source Shopify. Take 5% on every sale forever. Zero rev share to Shopify. Repo → github.com/medusajs/medusa 7. AppFlowy Open-source Notion. Sell self-hosted to enterprises worried about data privacy. They raised $30M because this market is massive. Repo → github.com/AppFlowy-IO/AppFl… 8. Coolify Open-source Vercel and Heroku. Charge developers $20/month to manage their deployments. Replace their $200 Vercel bill. Repo → github.com/coollabsio/coolif… 9. Listmonk Open-source Mailchimp. Send unlimited emails for the cost of an AWS bill. Resell to agencies at 10x markup. Repo → github.com/knadh/listmonk 10. Penpot Open-source Figma. Sell self-hosted design tools to agencies who refuse to upload client files to the cloud. Repo → github.com/penpot/penpot The difference between developers who build features and developers who build businesses is one decision. Pick one of these. Fork it this weekend. Ship it next week. The founders behind these repos already proved the model. Save this. Share it with the developer in your life who deserves to break free. 100% free. 100% open source.
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Models know everything in its training data, but it doesn't know your company's internal policies, their product catalog, contracts, knowledge base, etc. Every organization has this problem: they want AI that can answer questions about their stuff, accurately, no hallucinating
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The result: Claude gives accurate, grounded answers about your documents — and if the answer isn't there, it says so instead of making something up.
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Why this beats just stuffing everything into the context. At scale: A company with 500 policy documents can't fit them all in one API call. More context = + tokens = higher cost per query More context also makes Claude less precise (it has to "find" the answer in a sea of text.
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