Founder https://xitter.cf/t.co/cELamXO5ZC. Building the intelligence layer for how hardware gets made. Components. Design. Intelligence. Amateur cartoonist.

San Francisco Bay area
Joined June 2014
Today, we’re launching Wizerr Component Decisions MCP - engineering-grade component reasoning for Claude and AI agents. MCP is the access layer. Wizerr is building Decision Intelligence for Hardware Programs. Request Early Access: go.wizerr.ai/mcp #Hardware #AI
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1/ Hardware is a team sport. Especially in the new AI era. AI data centers. Robots. Drones. Edge devices. AI PCs. Every program creates thousands of decisions across engineering, components, supply, cost, and risk. The best teams see the whole field ⚽️
🤖 Made with AI
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This is why we call it decision infrastructure for hardware programs. Not another search tool. Not another dashboard. Not another point solution for one function. A shared intelligence layer for the entire program team.
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Because when the clock is running, great teams need more than great players. They need everyone seeing the same field. Opening access to more hardware teams this week. Request access here: go.wizerr.ai/programs #AI #Hardware #SupplyChain #Manufacturing #Electronics
🤖 Made with AI
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AI is creating one of the largest hardware buildouts in decades. Yet design, sourcing, and manufacturing remain fragmented. What happens when AI connects the entire Design-to-Build loop? Join the conversation at @deeptechweek deep-tech-week.com/sf-2026/e…
🤖 Made with AI
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Every time you think you know the art of possible with AI, the frontier shifts again. Spent half a day at @OpenAI HQ with a group of AI-native founders. Thx to @coreyching @nhlhomer & Applied AI crew for codex preview and orchestration demo - genuinely impressive. @AIBoomi 🙌
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The intelligence layer hardware teams never had. Until now. 1,000,000 component inferences on Wizerr.ai this month. Not searches. Datasheet-level reasoning. 20+ engineer-grade passes per part - electrical, form-fit, package, pin maps, multi-source, EOL - fast.
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Avinash Harsh retweeted
On many graphs of the physical world, China is in first place by a wide margin. But if you look more closely, India is a distant but real runner up.
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Major Semiconductor Companies & Roles: * Raw Material Suppliers: Companies like Shin-Etsu Chemical provide the base materials (e.g., silicon wafers). * Wafer Manufacturers: Companies like GlobalWafers and SUMCO specialize in producing silicon wafers, the foundation of chips. * Fabless Designers: These companies (e.g., NVIDIA, Qualcomm, AMD) design and develop chips but outsource manufacturing. They are heavily involved in the "Design & Engineering" stage. * Integrated Device Manufacturers (IDMs): Companies like Intel, Samsung, and Texas Instruments handle all stages from design to manufacturing and often assembly, testing, and packaging. They operate across many stages. * Foundries: Companies like TSMC, UMC, and GlobalFoundries specialize in chip fabrication (manufacturing) for fabless companies and sometimes IDMs. * Assembly, Testing, and Packaging (ATP) Providers: Companies like ASE Technology and Amkor provide these crucial back-end services. * Equipment Manufacturers: Companies like ASML and Applied Materials provide the highly specialized equipment used in wafer manufacturing, chip fabrication, and ATP
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We spend months optimizing supply chains… …but by then 70–95% of product cost is already committed in design. The real leverage point isn’t in procurement - it’s in the earliest design choices. 🧵👇 linkedin.com/pulse/design-co…
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Research (Sandborn, NASA, others) shows: - Only ~15% of cost is spent during design - But ~80% of lifecycle cost is locked in by design decisions Every component choice = a cost, risk, and lifecycle decision.
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Design-to-Cost isn’t just a finance exercise. It’s an engineering discipline - one that determines resilience, manufacturability, and time-to-market. Curious to learn more about shifting the conversation from supply chain fixes to early design intelligence. Thoughts?
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Years in electronics and manufacturing floors taught me this: pick the wrong component and it’s like baking a cake with soda instead of powder. Looks fine… then collapses. Multiply that risk across thousands of specs and you’ve got a product‑line nightmare.
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We are building Wizerr AI to keep every "ingredient" perfect - when it comes to electronics and manufacturing. Deep technical matches, engineer grade scoring for alternates and live supply health - side by side to make intelligent decisions.
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