Deepak Ravikumar

I constantly oscillate between sharing in-progress work and completed work. This means I'm long overdue to share some exciting updates on Wonderment Delivery Promise, our pre-purchase ETAs product. Wonderment now supports Rules for transit estimations and fulfillment estimations to allow you to account for per-product ETA customizations (like embroidery and engraving), warehouse delays, or other events that would impact coming estimates. Here's a quick demo of how you can use them for communicating pre-orders, backorders, and delays: https://lnkd.in/eb88vmcu

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Cursor is empowering PMs to become engineers, while Stitch by Google is helping teams ship beautiful designs faster. At AI Learn Circle and Perfios, we recently hosted a session on leveraging Cursor and Google Stitch to build a mini AI tool. The session was specially designed for product managers, designers, and engineers who want to go from idea to prototype, fast. Here’s what we covered: - The SPACE framework to get detailed designs from Google Stitch - The RAPID framework to make Cursor work for you and build prototypes faster - A few powerful debugging frameworks to level up your workflow in Cursor Using these, we built a daily wellness check-in tool where AI gives personalized, witty-but-helpful feedback, along with small, actionable micro-habits you can apply every day. A special thanks to my friend Sneha Jain and the amazing team at Perfios for hosting us. 🙌 Shoutout to Lekhansh Rana for managing everything so smoothly and kicking off the session! and A big Shoutout to all the builders who joined, leant, built and shipped this including- Sameena Tanjum, Bhaskar B Sarkar, Pragya Ananth, Avirup Sarker, Guru Sasidhar Pattem, Naman Agarwal, Pratibha Gaur, Gursimran Singh, Isaac Mathew Varghese, Bhargav Narayanan and other folks who haven't mentioned but made it awesome!

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Some of the most meaningful engineering work happens in unexpected places. Rivian’s haptic steering wheel is a great example of a this—a meaningful innovation we didn't realize we needed! But one use and it's obvious this is a leap forward in usability. Vidya Rajagopalan, Rivian's SVP of Electrical Hardware, and her team blended hardware and software to build an adaptive system that gives drivers control and tactile feedback without distraction. It’s elegant engineering and an experience that feels immediately intuitive. Follow along for more: https://lnkd.in/gJUq4xyW

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On the latest episode of Embracing Erosion I sat down with Suyog Deshpande, Co-Founder & CEO of Webless (a Fluvio Ventures portfolio company). Before starting Webless, Suyog spent years at Amplitude, Salesforce, and Samsara - shaping products and GTM strategy at scale as a product marketing leader. That perspective is now fueling one of the boldest bets in tech: 🏗️ rebuilding the web for LLMs. Instead of optimizing for clicks and SEO, Webless imagines an agentic web -where sites are designed to interact directly with AI models and agents. We dug into: - What an LLM-native web could actually look like - How companies can prepare to be LLM-ready - What metrics will matter beyond pageviews and clicks - Why safety and trust are core to agent-driven experiences - Lessons Suyog brings from “big tech” into this transformation If you’re curious about how discovery, trust, and value exchange will evolve online, this one’s worth your time. Link to the full episode in the comments 👇

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So what's going to happen to product management anyway? When I talk to mid-career PMs, I hear the same frustrations over and over: “I’m looking for a director role but all I see are individual contributor jobs.” “I want to work for an AI company but there are very few PM roles.” “I’m too tired to build at night after a day of back to back meetings.” I wrote 8 hot takes on where I think the PM role is headed next and why I'm actually optimistic. 📌 Read now: https://lnkd.in/g4Rtdbet

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Google is kicking off 2026 with groundbreaking partnerships! 🚀 Excited to share my first post of 2026 and what a start to the year it's been for Google and Google DeepMind 👏 The pace of innovation is accelerating and we're seeing truly transformative collaborations emerge across critical sectors. Here’s a quick rundown of some of the most impactful partnerships announced so far this year: ➡️ NVIDIA: The partnership reached new heights with the launch of the NVIDIA Blackwell platform on Google Cloud. This is exciting because it means co-engineering at the chip level to drive "Agentic AI" forward, ensuring Gemini can perform at an unprecedented scale. Read more: https://lnkd.in/gyrPJ2e3 ➡️ Boston Dynamics: Boston Dynamics and Hyundai are integrating Gemini Robotics foundation models into the new Atlas humanoid, aiming to create truly intelligent and adaptable robots for manufacturing. This will redefine automation on factory floors and beyond. Read more: https://lnkd.in/gGczrs6j ➡️ Apple: Apple selected Google to power key elements of Apple Intelligence, including a next-generation, personalized Siri. This means Gemini will be helping millions of users every day, making interactions with technology more intuitive and powerful than ever before. Read more: https://lnkd.in/gkfF8en6 ➡️ Walmart: Walmart is bringing Gemini directly into their app to enable agentic commerce. Think personalized, conversational shopping experiences that intuitively guide customers from inspiration to purchase. Read more: https://lnkd.in/gkYesTCY ➡️ Purdue University: This partnership included the creation of an AI Hub to provide researchers with early access to DeepMind's specialized scientific AI agents. This collaboration will help shape the next generation of AI talent and drive cutting-edge research. Read more: https://lnkd.in/grvq752F Each of these partnerships represents a significant leap forward, showcasing how collaborative innovation can solve complex challenges and create incredible new opportunities for humanity. It's only January 15th and so much is already in the works! Let's go 2026 🚀 #google #ai #gemini #googledeepmind

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Reading “The Rise of the GTM Engineering” by Varun Anand and Mishti Sharma felt like talking to my GTM soul. From building complex wearables, AI compliance platform to launching my Clay agency. My Perspective as a New GTM Engineer 1. 𝗙𝗿𝗼𝗺 𝗛𝗲𝗮𝗱𝗰𝗼𝘂𝗻𝘁 𝘁𝗼 𝗦𝗲𝗹𝗳-𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 High-growth teams are swapping hiring sprees for automated workflows that scale themselves, which is exactly why major tech firms cut thousands of roles since 2023—even as revenues held steady. 2. 𝗚𝗧𝗠 𝗠𝗼𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗲 “𝗨𝗻𝗱𝗲𝗿-𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱, 𝗡𝗼𝘁 𝗨𝗻𝗱𝗲𝗿-𝗦𝘁𝗮𝗳𝗳𝗲𝗱” The real bottleneck isn’t lack of people but poorly engineered processes that choke revenue engines; infusing engineering into every GTM motion resolves these hidden inefficiencies. 3. 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴’𝘀 𝗩𝗶𝘀𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗦𝗮𝗹𝗲𝘀’ 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 GTM engineers leverage AI-driven automation to anticipate data needs—shifting ops from reactive firefighting to proactive growth architecture that bridges creative campaigns and sales execution. 4. 𝗧𝗵𝗲 𝗧𝗵𝗿𝗲𝗲-𝗧𝗶𝗲𝗿𝗲𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗚𝗧𝗠 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 - Data Foundation: Clean, unified data is non-negotiable. - Modeling: Use analytics and predictive models to pinpoint the highest-ROI campaigns. - Activation: Rapidly deploy insights to close the loop in hours, not quarters. Skipping groundwork for flashy tactics wastes both time and budget. 5. 𝗧𝗵𝗲 𝗧𝗮𝗹𝗲𝗻𝘁𝗣𝘂𝘇𝘇𝗹𝗲 Hiring this hybrid talent—engineers with commercial instincts or marketers with coding chops—demands rethinking traditional recruiting pipelines. 6. 𝗦𝗵𝗿𝗶𝗻𝗸𝗶𝗻𝗴 𝗜𝗱𝗲𝗮-𝘁𝗼-𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗖𝘆𝗰𝗹𝗲𝘀 Teams that iterate from concept to campaign in hours instead of quarters capture the decisive competitive edge. In embracing GTM Engineering’s shift from reactive ops to proactive growth architecture, teams can fully unlock scalable, systems-driven revenue acceleration that transcends headcount constraints.

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