Avinash Harsh

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Avinash Harsh

Avinash Harsh

@avharsh

Founder https://t.co/cELamXO5ZC. Building the data intelligence layer that connects AI to the physical world. Components. Design. Intelligence. Amateur cartoonist.

San Francisco Bay area Katılım Haziran 2014
3.5K Takip Edilen1.4K Takipçiler
Avinash Harsh retweetledi
Balaji
Balaji@balajis·
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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Sandeep Singh
Sandeep Singh@Alchemist1320·
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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Avinash Harsh
Avinash Harsh@avharsh·
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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Avinash Harsh
Avinash Harsh@avharsh·
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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Avinash Harsh
Avinash Harsh@avharsh·
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-c…
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Avinash Harsh
Avinash Harsh@avharsh·
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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Avinash Harsh
Avinash Harsh@avharsh·
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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Avinash Harsh retweetledi
Muralikrishnan B
Muralikrishnan B@hawkeye·
The Electronic Components Manufacturing Scheme (ECMS) 2025, aka Component PLI, holds the potential to help India scale its Domestic Value Addition (DVA), integrate deeper into Global Value Chains (GVCs), and pursue stronger strategic self-reliance. 🔗hawkeye.medium.com/the-quest-for-… The original Smartphone PLI helped scale exports of finished smartphones. What effect will this policy have? #MakeInIndia #PLI #Electronics
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Brett Adcock
Brett Adcock@adcock_brett·
Significant progress in AI and Robotics this week. So, I summarized everything from OpenAI, Google, Scout AI, Microsoft, xAI, Hugging Face, Kling AI, Anthropic, ByteDance, and more. Here's everything you need to know and how to make sense out of it:
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Sam Altman
Sam Altman@sama·
i think this is gonna be more like the renaissance than the industrial revolution
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Avinash Harsh
Avinash Harsh@avharsh·
If you have deep experience in system hardware design, component engineering, procurement engineering, or field applications — this is your seat! As a member, you’ll: ⚙️ Share real-world insights 🚀 Influence our roadmap 🔍 Get early access 🏆 Be recognized as a founding voice
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Avinash Harsh
Avinash Harsh@avharsh·
🔥 We’re launching the Electronic Components Advisory Council (ELX Council)—and we’re inviting a few sharp minds to join. At Wizerr AI, we’re building the AI transformation & Agentic layer for the electronic component industry.
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Sanjay Kalra, Digital Transformation Sherpa™️
🚀 Comprehensive Guide to the Model Context Protocol (MCP) 🚀 Check out this excellent Model Context Protocol (MCP) tutorial by Dr. Nimrita Koul. It provides a detailed walkthrough for developers looking to build MCP servers and clients. Here are the key points: - Introduction to MCP: MCP standardizes how applications provide context to AI models, similar to how USB-C standardizes device connections. - Building MCP with LLMs: Learn to speed up MCP development using large language models (LLMs) like Claude, including designing, implementing, and debugging MCP servers. - Creating MCP Clients: Step-by-step guides for building MCP clients in Python and Node.js, covering setup, connecting to MCP servers, processing queries, and handling tool calls and responses. - Tutorial Structure: Each tutorial includes system requirements, step-by-step implementation, detailed explanations, best practices, and troubleshooting tips. This tutorial is a valuable resource for developers aiming to leverage MCP for more efficient and standardized AI integrations. 🌟 #AI #MCP #TechTutorial #ModelContextProtocol #DeveloperGuide @nimritakoul01/the-model-context-protocol-mcp-a-complete-tutorial-a3abe8a7f4ef" target="_blank" rel="nofollow noopener">medium.com/@nimritakoul01
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