Founder and CEO of Bit; Creator; Building the AI platform for creating and maintaining innovative products with simplicity, speed and quality.

Joined April 2009
17 Photos and videos
I just saved approximately $4K in a single Claude Code session. The wild part: Claude barely did any of the work. 🧵
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The moat was never the model — it's the fabric every model runs on. Claude Code, Codex, Gemini, Hope. Same graph. Same head start. More every week → bit.cloud Get started with Bit Graph MCP: bit.cloud/docs/install-bit/
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Reuse skipped ~$4K of design and iteration that never had to happen again — and the output was consistent by default. The expensive part was never the typing. It's getting it right.
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Claude put token savings at ~$60 for this page. Run that across every build, every dev, every day — it compounds fast. But that's the smaller half.
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It read our fabric: our components, design system, patterns, knowledge. Nine of them, one page. Same design language, same UX. No drift. No design review.
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Yesterday Hope built our new marketing site - and turned it into reusable components. Today I connected Claude Code - a different AI — to Bit MCP and asked for a "For developers" page.
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Ran Mizrahi retweeted
Meet Hope AI🚀 The AI assistant that builds real software, not throwaway code. Hope builds with components: reusable units of UI, data & behavior, each with its own API, docs & tests. Every one becomes context for the next. Less boilerplate, more building. bit.cloud
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New Bit Cloud is out. I used it to rebuild our marketing site - and since we launched, our conversion has tripled. Context changed everything. I prompted Hope, our AI. It read our Bit graph - our tech, our messaging, our brand - and built a complete new marketing site. No briefs. No handoffs. No tickets. No code. Just a browser. But it didn't just build a website. It built our new marketing design language as live AI memory - so the next campaign, the next landing page, the next launch already knows our brand. It builds on what came before. That's the @bitcloud_ graph. Bring your context - your brand, your components, your knowledge - and everything you make next gets exponentially smarter. Stay close - big things shipping all month.
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Checkout the output at bit.cloud
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Code and config files are the wrong abstraction layer for the AI era. Right now, we are using AI to type faster. But coding isn't our bottleneck anymore. The real bottleneck is the process. To build software at the speed of thought in 2026, we need a shift. 🧵👇
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4/ 🏗️ Developers become architects When we stop writing raw code from scratch, developers are elevated. They elevate from being code monkeys and start designing composable systems.
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3/ 🤝 It’s a mutual language (not just for AI) Components aren’t only good for models. They’re understandable to product managers, designers, security, and data teams. Instead of asking: "Where in the repo is this logic?" We ask: "Which component owns this capability?"
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2/ 🧱 Consistency requires building blocks You don’t scale systems from giant files. You compose them from reliable, independent units.
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1/ 🧠 AI works better with boundaries A massive codebase confuses models. A well-defined component with a clear API produces precision.
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We have to stop thinking in code and files. Files don't scale. They don't compose. We need to shift to Components. Here’s why:
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Small Pull Requests are dead - AI just killed them For years, keeping PRs small was the golden rule for human reviewers to manage complexity. But AI just broke that rule. Today, AI can generate a complex, cross-cutting feature in 10 seconds. Yet, our actual release velocity hasn't changed. Why? Because writing code is no longer the bottleneck. The process is. We attached an AI jet engine to a 20-year-old horse. Because we take that massive, completed feature and artificially slice it up into 10 tiny PRs just to fit our legacy review process. We are generating code at lightspeed, only to hit a massive traffic jam at integration. Are your AI coding tools actually speeding up delivery, or just moving the bottleneck to the Pull Request? Let's debate below. 👇 #SoftwareEngineering #AI #DevOps #Architecture
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25 Jun 2025
We challenged Hope AI to recreate Product Hunt from natural language, and now we are trending on Product Hunt! 🤯🚀 To truly push the boundaries of what our AI agent can do, we gave it an ambitious challenge: ‘Build a Product Hunt like platform’ – all from natural language. The result? ‘Product Cult,’ a fully-featured platform that demonstrates Hope AI and Bit Cloud power to build and maintain production-grade software. Product Cult is powered by @reactjs , @nodejs , @MongoDB and @GraphQL, optimized for long-term orientation, consistency and ease of maintenance. See it in action in the first comment with live app, Github repo and link to our Product Hunt launch 👇
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25 Jun 2025
Support us on Product Hunt: producthunt.com/products/hop… See it action: ✨ Live App: product-cult-yturoh.bit-app.… 💻 GitHub: github.com/teambit/product-c… 🏗️ Bit Cloud: bit.cloud/infinity
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Ran Mizrahi retweeted
Happy to share that I'll be speaking at {Live Code} Design to production-ready UI components with AI and MCP! Make sure to attend it on June 25. linkedin.com/events/livecode…
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