Madhu Konety
Palo Alto, California, United States
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I’m a founder and product leader with a 25+ year track record of building at the…
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8K followers
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Madhu Konety shared thisThe AI agent platform war in one image. Full analysis on Substack. Link in comments.
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Madhu Konety shared thisAnthropic just fired the first real shot in the AI agent platform war. As of April 4, Claude subscriptions no longer work with third-party agents like OpenClaw. If you were running your personal AI assistant on a Mac Mini, powered by Claude through your $20/month Pro plan — that's over. You now have two options: 1. Pay API rates (per token, metered) to keep using Claude with OpenClaw 2. Switch models entirely - OSS (Qwen, Kimi, GLM, Llama) or Gemini, Openai, Grok Anthropic is offering a one-time credit and discounted API bundles to soften it. But the strategic message is clear: Claude is for our ecosystem. Cowork is the first-party experience. Everything else pays full freight. This is the classic ecosystem playbook. Stay inside Claude's world (Cowork) and you get a flat subscription. Predictable. Integrated. Everything just works. Leave for OpenClaw and suddenly you're on per-token API billing. Your costs scale with usage. No ceiling. The more you use your agent, the more you pay. Staying inside the ecosystem is cheap. Getting out is where costs become unbounded. You don't need to ban third-party usage when you can price it into irrelevance. What happens next is predictable: - Some OpenClaw users switch to Cowork (Anthropic wins) - Some switch to other models (open ecosystem gets stronger) - Very few pay both (the awkward middle is always smallest) The irony: this might actually make OpenClaw more resilient long-term by accelerating its shift to model-agnostic operation. I've been living in both ecosystems for months. Wrote the full analysis why this is a platform war, where the lock-in really happens, and what it means for investors. Link in comments. #AIAgents #Anthropic #OpenClaw #ClaudeAI #PlatformWars
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Madhu Konety shared thisB2C has agents. B2B has spreadsheets. While consumer brands are deploying AI that browses, compares, and buys,— the average B2B seller is still relying on PDFs, manual follow-ups, and portals nobody updates. The gap isn't coming. It's here. Gartner forecasts AI agents will intermediate $15 trillion in B2B spending by 2028. Yet only 24% of B2B suppliers are using agentic AI today, while 61% of their own buyers already are. That means your buyers' AI is already shortlisting vendors. Scoring them. Eliminating them. All before a human ever picks up the phone. The question isn't whether you'll need to adapt. It's whether you'll do it before your competitors do. #B2BCommerce #AgenticAI #Procurement #DigitalTransformation #FutureOfCommerce #B2BSales
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Madhu Konety posted thisEarly-stage teams love planning. Roadmaps. Sprints. Milestones. But planning is rarely the failure point. The real problem is the gap between what you planned and what actually happened — and how long it takes to notice.
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Madhu Konety posted thisRunning multiple teams taught me something uncomfortable. Execution doesn't fail loudly. It drifts quietly. By the time founders notice, weeks are already lost. Most teams don't need better plans. They need to see what actually moved.
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Madhu Konety posted thisThe AI Productivity Paradox I’m all for my team using AI tools to supercharge their productivity. And yes, I’m fine with us being dependent on LLMs—we’re dependent on computers and electricity too. Tools are meant to be relied on. But there’s a difference between using AI as a tool and letting it replace your thinking. Here’s what I mean: I love seeing our content writer use ChatGPT as a thinking partner—feeding it context about our audience, guiding it with strategic insights, then taking that output and making it uniquely ours. That’s human expertise amplified by AI. But when someone just throws a basic prompt at an LLM and hands me back the raw output? That’s where I have a problem. LLMs apps like chatgpt and Claude are designed to be agreeable. It’s optimized to make users feel good about their ideas. In a work environment, that’s actually counterproductive. I want pushback. I want someone to poke holes in my thinking. I want the messy, uncomfortable conversations that lead to better decisions. If I just needed AI-generated responses, I’d do it myself. What I need from my team is their unique perspective, their ability to challenge assumptions, and their skill in shaping AI output into something that actually moves the needle. LLMs are incredible enablers for faster, better work. But the human insight, the critical thinking, the ability to disagree—that’s what makes the difference between good output and game-changing results.
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Madhu Konety posted thisGot a week with a friend working on a new startup. After a day in an office, we went on a different approach - working from coffee shops, walking - & thinking around Palo Alto , amazing discussions over dinner, engaging with advisors, experts, and VCs. So very productive and rapid evolution in positioning and GTM strategy. Highly recommend! . #Innovation #StartupJourney
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Madhu Konety posted thisA common concern I hear from CXOs is about data security & privacy around AI. Very valid concerns, here some really effective strategies that can keep your AI implementations secure. - Using private LLM instances (Azure OpenAI, AWS Bedrock) - VPC based vector stores - logging + audit trails for audibility & traceability - implementing robust guardrails - human eval of sample conversations It’s all about having the right governance. #DataSecurity #AI #Privacy #Governance
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Madhu Konety posted thisOver the past year, I’ve spoken with dozens of CXOs who are excited about AI but also wondering where to start. There’s a mix of excitement and a bit of fear about what AI means for their teams, the current processes and importantly security and privacy. The biggest question I hear is, ‘Where do we even begin?’ And that’s exactly what I love helping them figure out.
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Madhu Konety liked thisMadhu Konety liked thisApparently the confusion, tampering and outright lying about what "ARR" is has become so bad in the startup world that Y Combinator saw the need to issue guidance to its founders on how to talk about revenue. ARR has indeed become a meaningless number. It used to be the gold standard in the SaaS world because it came with built-in assumptions: Annual contracts, 70-80% gross margin, often prepaid and therefore cash-flow positive, moderate churn rate, seat-based pricing with plausible 100%+ NRR path. All of this has gone out of the window in times of AI. I've seen startups that declared theoretical revenue from non-binding LOIs as ARR, and at list price, not the heavily discounted price they actually had to offer to customers. And of course in AI there's the huge issue of gross margin: Are you just reporting net revenue after model costs and partner take-rates, or is everything included? Even the big labs handle this differently, as the recent spat between OpenAI and Anthropic showed (Anthropic apparently includes partner commissions in its ARR, OpenAI doesn't). As long as we don't have established standards for these things, the investor community has to learn all over again that you have to analyze each company differently. Y Combinator's advice to founders to be transparent and honest is laudable, but it doesn't replace real analysis and diligence. The times of simple rules like "$1M ARR qualifies you for a series A round" are definitely over.
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Madhu Konety liked thisMadhu Konety liked thisAstrin Biosciences is heading to the American Association for Cancer Research Annual Meeting 2026 next week to share how deep plasma proteomics is advancing early breast cancer detection. Join us Monday at 2:30pm to learn the latest on our data including the prospective early-stage sensitivity for the Certitude breast cancer test presented by Dr. Pooja Advani, Director of the Breast Clinic at Mayo Clinic Jacksonville. 👉 Discover more: https://lnkd.in/guH38x9M #AACR2026 #CancerResearch #Biotech #BiomedicalAI
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Madhu Konety liked thisWe are pleased to welcome Jahida Nadi to MSC Industrial Supply Co. as our new Senior Vice President of Sales! Jahida is a proven leader with a global perspective and a track record of driving exceptional results. Her experience spans nearly two decades at Hilti Corporation, where she led high-performing teams, delivered double-digit growth, and elevated both employee engagement and customer experience. With her energy, expertise, and passion for building strong teams, Jahida is already making an impact—and we’re just getting started. Welcome aboard, Jahida! We’re lucky to have you.Madhu Konety liked thisWe’re excited to welcome Jahida Nadi as our new Senior Vice President of Sales! Jahida is a powerhouse leader with nearly 20 years of experience at Hilti Corporation, where she drove incredible growth and led high-performing teams across commercial, energy, and industrial sectors. From turning around underperforming business units to delivering 30% bottom-line growth year after year—she’s done it all. She started her career as an aerospace engineer (yes, really!) and holds an MBA with honors from University of Southern California and a bachelor’s degree in Structural Engineering from the University of California, San Diego. With her passion for serving the customer, Jahida will build upon the progress made to bring our sellers, customers and suppliers together for effective collaboration that continuously delivers on the evolving needs of the industry. Welcome to MSC, Jahida! We’re excited to see all that we accomplish together.
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Madhu Konety liked thisMadhu Konety liked thisI am happy to share that since last January I have started in a new position as Senior Director Global Supply Chain Processes & Platforms en Brenntag!
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Madhu Konety liked thisMadhu Konety liked thisFrom 3D Scan to Computer Model to Reality. TS&M Fiberglass recently supplied NOV Fiberglass Systems industry-leading 6” Red Thread fiberglass pipe and fittings to a major oilfield water disposal company for conveying corrosive produced water. NOV FGS Red Thread pipe is corrosion-resistant, lightweight, and quick to install, offering low installed costs and long service life. For this project, one of our recommended installation contractors, Precision Fiberglass Piping Ltd., was selected by the end user to handle the installation. Precision utilizes state-of-the-art 3D scanning, which enables them to accurately scan the site, build a detailed computer model, generate spool drawings, and fabricate and hydrotest the pipe spools in their shop according to their ABSA-approved quality system. The precision of the scans and construction allowed for efficient spool assembly in the field, minimizing on-site bonding. To learn more about how transforming a facility scan into a model and ultimately into an executed reality, reach out to any of our TS&M Fiberglass representatives, at any location across North America. #fiberglass #composites #3Dscan #fieldwork
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Madhu Konety liked thisMadhu Konety liked thisWe're on! https://lnkd.in/erF7ijg2QXO Completes Acquisition of Beacon Roofing SupplyQXO Completes Acquisition of Beacon Roofing Supply
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Madhu Konety liked thisMerchandising in it's purest form.Madhu Konety liked thisTrader Joe's has 4,000 SKUs. Walmart has 120,000. Trader Joe's does $14 billion in revenue with 608 stores. Walmart does $681 billion with 5,200 stores. But here's the crazy part: Trader Joe's makes $2,400 per square foot Walmart makes $460 per square foot Trader Joe's is 5x more efficient with 30x fewer products. The reason? Decision fatigue is real, and it's costing you sales. A study by Columbia University found that when shoppers were shown 24 jam varieties, only 3% bought something. When they were shown 6 varieties, 30% bought something. That's a 10x difference. For your store, this means: - If you have 40 SKUs, you're probably losing sales to brands with 12 - If you have 8 variations of the same product, cut it to 3 - If your navigation has 7 categories, drop it to 4 A coffee subscription brand tested this: Before: 28 different blends across 5 roast levels Average order value: $42 Conversion rate: 2.1% After: 12 blends across 3 roast levels (kept only the top sellers and most distinct flavors) Average order value: $51 Conversion rate: 3.4% They made more money with fewer products. Because fewer choices = less anxiety = more action. Your customers don't want more options. They want confidence in the option they pick.
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Madhu Konety liked thisMadhu Konety liked thisThe MSC Sales team is growing! We’re committed to equipping our associates with the resources, support, and development opportunities needed to build successful, long-term careers. If you’re interested in joining a high-performing #Sales organization and contributing to the future of manufacturing, explore current opportunities on our Careers site: https://lnkd.in/eiZzXukV Don’t see a Sales role in your area? Create a candidate profile, upload your resume, and set up job alerts to stay informed as new Sales opportunities become available. #MSCCareers #SalesJobs
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Madhu Konety liked thisMadhu Konety liked thisIt’s National Coffee Month, and we’re celebrating with a #Giveaway! Stand a chance to win two bags of Sum>One Coffee and an exclusive Sum>One branded Fellow Carter tumbler. Follow us, and tag 3 friends who you love to share coffee with before Aug 2, 11:59 p.m. CT. Terms and Conditions apply - https://zurl.co/b9dnH #giveaway #sumonecoffee #specialtycoffee #contest #coffeelove
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Mar Hershenson
29K followers
From our PearX S25 cohort, meet Pravāh, the AI-native operating system for the electric grid When Mohak Mangal, Dhruv Suri, and Aman Gupta looked at the strain on the U.S. electric grid, they saw a system pushed to its limits. Exploding demand and unpredictable supply have made blackouts increasingly common. This costs the economy more than $150B a year, a number that could 10x in the next five years. Mohak Mangal and team founded Pravāh to help fix it. Their platform helps utilities and grid operators make real-time decisions on load, generation, and congestion, reducing blackout risks, optimizing power procurement, and bringing much-needed stability to the backbone of modern life. We’re proud to support the Pravāh team as they take on one of the toughest and most important infrastructure challenges of our time.
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Julien SIMON
Fortino • 34K followers
On February 18, during India's AI Impact Summit, a company called Sarvam shipped a 105-billion-parameter model trained from scratch in India on government-subsidized GPUs, designed for 22 Indian languages. It outperforms DeepSeek-R1 on certain benchmarks at one-sixth the size. The same summit produced $200 billion in investment pledges from Amazon, Microsoft, Google, and Reliance. The headlines were about the money. The real story was Sarvam. This post examines in detail why it took this long, what changed, and whether Sarvam is the first crack in an old equilibrium or a lonely exception. "Indians Rule Big Tech. Why Can’t India Build?": Link in comments.
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Vignesh Shankar
Atomgrid • 6K followers
Happy new year! with our Investment no: 12💪🎉🎉👏👏 AI chips today do not fail because of lack of compute. They fail because they cannot breathe. Delighted to share that we have invested in Sidix, a fabless semiconductor startup building chip scale fully silicon cooling solutions, based out of Odisha. As power density on chips has gone vertical, cooling has quietly become the limiting factor. Compute can scale. Transistors can scale. But heat removal has not kept pace. Sidix is attacking this problem at the chip surface itself using a beautifully engineered silicon native MEMS approach to solid state cooling. This is first principles engineering at work. Micromachined silicon actuators that enable airflow generation and heat removal exactly where it matters. The result is meaningfully higher output per unit area, better efficiency, and the ability to run advanced CPUs GPUs memories and transceivers at lower temperatures with higher reliability. This is not just a better thermal solution. It has direct P & L impact across data centres and electronics systems globally. We love Sidix for how we like to invest a99 VC . Deep manufacturing led innovation. Serious MEMS pedigree. Global relevance from day one. And a team that understands both physics and markets. Excited to partner with Arun Rambhatla , Siavash Pourkamali , and the Sidix team as they help the industrial century run a little cooler. This also marks our third investment from the rapidly emerging Odisha manufacturing and deep tech ecosystem. The map is widening and the depth is getting real. Thanks to the boss Asha Venugopal and the boss’s lady Varsha Shivaraj for getting this deal done despite the bumps! Let the cool waves begin!
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Arun Kumar
Dr Reddy's Laboratories • 17K followers
This article, co-authored by Vardaan Ahluwalia and me lays out India's significant new Research Development and Innovation Fund initiative in the context of other successful interventions: when governments and the private sector work together, they can make a transformative difference to deep technology entrepreneurship. Equally, initiatives to help manage financial risk should be followed by structural reforms in areas ranging from intellectual property regulation, ease of clearances for start-ups, tax rationalization in capital gains and options that helps start-ups attract talent, and a visa regime that attracts leading global researchers. https://lnkd.in/gk92YSZa
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Arjun Malhotra
Good Capital • 3K followers
India has abundant expertise across every domain - logistics operators, subject matter experts, local service providers, etc. What's scarce isn't capability. It's the systems that coordinate this capability at scale. Most companies see this fragmentation and default to vertical integration: build everything in-house, own all capabilities, control every aspect of delivery. This works if you have unlimited capital and time. Most companies have neither. But there's an alternative approach that we've noticed two of our portcos execute remarkably well, in completely different industries - 1. When Meesho looked at India's logistics, and they saw thousands of fragmented local operators. Instead of building warehouses and delivery fleets, they built Valmo - an orchestration platform coordinating existing partners. Individual pilots with smartphones earn sustainable incomes, small hub operators build viable businesses, and Meesho gets coverage across 15,000+ pin codes at 12% lower cost than traditional third-party-logistics. 2. Entri saw similar fragmentation in education. India has abundant teaching expertise already running offline/online programs. Entri partners with them for content while owning demand generation, platform infra, quality monitoring, and placements. This allows them to launch new categories in weeks and scale across languages without the capital intensity of building in-house teams for every vertical. If I had to pull a common thread, it's that in fragmented markets like India, the orchestration layer often matters more than asset ownership. Coordinate what exists rather than rebuilding from scratch.
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Jitin Bhasin
SaveIN • 19K followers
🚨 RBI’s New Co-Lending Directions, 2025 – Effective Jan 1, 2026 The Reserve Bank of India (RBI) has issued new Co-Lending Arrangements Directions, 2025, which will come into effect on January 1, 2026. These guidelines will likely broaden the scope of co-lending 1️⃣ Mandatory Skin in the Game – Each Regulated Entity (RE) must retain minimum 10% of every loan (no shadow partnerships) 2️⃣ Blended Interest Rate – Final rate to borrower = weighted average of each lender’s rate. All fees to be factored into APR & Key Facts Statement 3️⃣ 15-Day Transfer Rule – Partner RE must book its share within 15 days of disbursement. Else, loan stays with originator 4️⃣ Default Loss Guarantee Cap – Max 5% of outstanding loans allowed 5️⃣ Borrower-Level Asset Classification – If one lender marks SMA/NPA, the other must follow 6️⃣ Escrow Account Mandate – All transactions to flow through an escrow, ensuring clear fund appropriation 7️⃣ Full Disclosure – Public list of co-lending partners + detailed reporting in financials Bottom line: Clearer rules, stronger consumer protection, tighter operational discipline >> co-lending just got a lot more transparent. #RBI #CoLending #NBFC #Fintech #Credit https://lnkd.in/gKxrz_hC
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Ashish Kakran
Seligman • 11K followers
We at SIERRA Ventures are thrilled to lead the $8M Seed round in smallest.ai! We feel honored to partner with Sudarshan Kamath and Akshat Mandloi as they build an important company in the Voice AI space. We’ve now entered a new era. Voice AI agents are no longer research projects or demos - they’re deployed in production. Whether it’s buying or selling a house, scheduling a doctor’s appointment, or returning a purchase, there’s a growing chance you’ve already interacted with an AI voice agent without realizing it. Why Smallest AI: 💡 Team: Sudarshan and Akshat are customer-obsessed technical founders who understand what enterprises truly need.. agents that are fast, secure, and production-ready. 💡 Industry leading performance: The company has some of the fastest, highest-quality voice AI models in the world (Lightning Text to Speech) that outperform Elevenlabs, Cartesia across all parameters. Their SLM Electron outperforms GPT 4.1 Mini in both quality and latency for real-time conversational use cases. 💡 Integrated Voice stack: Delivering a natural voice interaction requires a complex workflow under the hood integrating components like ASR, models, TTS. By optimizing every step in the loop, from low-latency TTS to contextually coherent responses, they are helping to deliver real-time, human-like conversational AI that sets a new benchmark for performance. 💡 Small models, big impact: Nvidia recently published a research paper - "Small models are the future of agentic AI". Smallest AI builds the high-accuracy models that customers can run at the edge consuming little power. 💡 Happy customers: customers consistently told us how much they enjoyed working with the team. For anyone building enterprise voice AI agents, please reach out and we'll be happy to connect you with the team! #voiceAI #ai #tts #asr #slm
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