Parth Sethi

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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Launching: Chat with Priyank (beta) today on https://priyank.tech A few weeks ago, I launched priyank.tech as a single home for my work, projects, and notes. Today I’m adding a faster way to get to the signal: Skip the scrolling, ask.  “Chat with Priyank” answers questions about my projects, views, and skills by pulling the most relevant context and giving you a concise, useful response. What’s under the hood (and why): - Human‑verified access - Conversations start only after the system knows it’s interacting with a person, not a bot. - Scope & guardrails - It only answers questions about me. When a query is out of scope or uncertain, it responds with a polite “I don’t know.” - Context engineering first (no RAG, yet!) - An analysis by industry veterans suggested that GPT-5 class models can correctly use ~85% of the provided context. I want to see how far careful, prompt, and context design can go before adding retrieval. I’ll evaluate this over the next few days and decide before graduating from beta. - Prompt caching enabled - To keep costs under control (and responses snappy), repeat prompts and shared context are cached. - Early memory layer - A lightweight short-term memory layer powers more personal, consistent answers across sessions. Try it on: https://priyank.tech   If it’s your first visit, do subscribe to my newsletter—I’ll share build notes, decisions, and lessons learned there. Starter prompts: “Tell me about your AI and Generative AI expertise “How can you help me become an AI first organization?” Feedback is welcome, especially edge cases and failure modes.  #AI #product #buildinpublic #LLM

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Nearly 2 years ago, Ashutosh, Varun, and I crowded around a whiteboard debating if AI could understand the nuances behind human conversations. Why does a VP of Sales answer “How’s the quarter going?” one way to the CEO and another to a board member? The context changes the response. That was the spark behind Viven, which we invested in this year. Most AI can pull up data. But what about the relationships, unspoken cues, and history that shape decisions? So much gets lost when people move on from orgs or when stories never make it into docs. Viven calls their approach “pairwise context" - training AI to recognize who’s speaking + listening, and how their relationship shapes the conversation. Those endless debates evolved into a mission to help orgs preserve their most valuable knowledge... the experience and insight that lives in people’s heads and is rarely written down. It’s an ambitious vision, but one that will transform how orgs learn. Work that once moved at the speed of meetings could eventually move at the speed of thought. I shared more about how we’re making this possible, and why I believe in Viven, here → https://lnkd.in/g8C3PkK5

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Great products solve for real user pain. Too many apps. Too many logins. Too many choices. Airtel just launched a plan that simplifies all that—25+ OTTs, 1 recharge. Sometimes, reducing friction is the most underrated kind of innovation. https://lnkd.in/gdmipzi8 Pankaj Dayani Siddharth Sharma Anurag Verma Sanket Arora  kanishk kumar Hitesh Bhatia Vipul Gaba Manish Jain Parichay Saxena Gurpreet Singh Nikhil Rajput Narendra Choudhary Amiya Vidit Varun Das Ankit Srivastava Anant Kumar Manoj Kumar Mauni Heena Naithani Himanshu Gulati Himanshu Luthra Sushit Sharma Joel T Stephen Gitansh Malik

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Just wrapped up a powerful 2‑day #7HabitsOfHighlyEffectivePeople "Signature Edition" workshop with Rupender Khaira, and I’m walking away with a very fresh perspective on both work and life. What struck me most was this: most of us “know” these principles somewhere in the back of our mind – be proactive, begin with the end in mind, sharpen the saw, and so on. But there’s a huge difference between quietly agreeing with an idea and truly understanding how to live it. Rupender Khaira didn’t just walk us through the book; he unpacked the real meaning behind each habit with stories, frameworks, and reflections that made the concepts click at a much deeper level. It felt less like a training and more like having a mentor translate timeless wisdom into practical actions for both personal and professional growth. Grateful for the opportunity to revisit these fundamentals with fresh eyes. Sometimes, the most powerful insights aren’t “new” – they’re the ones that finally land.

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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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Praveen Neppalli Naga, Uber's CTO, was kind enough to join us a few weeks back (continued from what my Partner, Ganesh Srinivasan previously shared) to walk us through his philosophy on building operationally complex AI systems. And as always, it all leads back to fundamentals. Even the best AI model can’t outrun a messy data stack. As Praveen put it, scalability isn’t a function of model sophistication; it’s a function of data quality, flow, and freshness. Any cracks in that foundation will eventually become the true bottleneck to innovation. This was just one snippet among many learnings, and it was such a pleasure speaking with Praveen. Thank you again to him and the Uber team for the warm welcome at their offices. I'll be keeping this lesson top of mind as Ganesh and I head to #NeurIPS2025 this week. We're excited to see what innovation is around the corner. Please reach out if you’d like to chat. We’d love to meet up on the convention floor.

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Some timeless lessons from my recent conversation with Amit Somani on AI, leadership, and product-building 👇 AI is reshaping how we build, lead, and innovate, but the fundamentals of great product-building remain timeless. Our discussion reminded me that while technology accelerates what’s possible, clarity of purpose and customer empathy continue to define success. A few takeaways that stood out for me: Customer obsession still drives the best products ,empathy can’t be automated. Real adoption is the true test of AI ,value must be measurable and tied to business impact. Defensibility now comes from continuous innovation and deep customer insight, not just tech moats. Big orgs win when they nurture startup style teams and room to experiment. Product leaders succeed by balancing vision with execution ,staying close to customers and taking smart risks. 👉 What principles guide your approach to product-building in the AI era? #AI #ProductManagement #Leadership #Innovation #ProductStrategy #Tech

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"This space moves so fast that every quarter, everything you do can be obliterated," said Glean founder Arvind Jain. "We had to shift to a mindset of constantly rebuilding. Your moat is not your tech but the value you provide to your customer, those deep relationships you build, and the team that’s with you to build and execute in that kind of environment." An intimate, thoughtful gathering at last night’s AI Pioneers Summit by Decibel Partners and Latent Space Podcast with speakers that included (photo, left to right) Eric Simons (bolt.new), Behnam Neyshabur(Anthropic), swyx ​(inc a celebration of 10M downloads), Arvind Jain (Glean), and Laura Burkhauser (Descript). Simons: “We’re seeing more developer-adjacent product people building direct experiences.. that will lead to developers doing deeper thinking & reviewing PM work, as PMs also go deeper to shape the front-end.” Burkhauser spoke to the complexity of AI video editing, where context goes far beyond the script to understand how humans see, feel and sense, and uncover the reasoning behind what a viewer expects. Neyshabur's pursuit of creating an AI scientist is rooted in his curiosity about how a model learns from human interaction and the nature of learning itself. Our breakout session was insightful, inclusive, and energetic. Good to spend time with founders like Bella Liu (Orby AI - A Uniphore Company) and catch up with Ajay Singh. A great mix of technical depth and openness for conversations that stay with you.

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A great read for people struggling with Whatsapp Business due to operational constraints. It highlights how an Org's DNA restricts it from solving genuine user problems. https://lnkd.in/djfimqBT

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When I started as a #PM, a large part of the role was writing #PRDs and iterating with stakeholders before handing off to engineering. That process is rapidly changing and PRD's as we know it are dying. Here’s what will replace it. 📋 FROM: Traditional PRD process 📋 ■ Spending hours interviewing customers and manually synthesizing insights ■ Drafts that miss standard language and cross-stakeholder expectations ■ Low-fidelity or no visuals in early drafts ■ Lengthy, repetitive review cycles with multiple stakeholders ■ Manual updates after every meeting ■ Manual breakdown of PRDs into features and user stories ■ Manual creation of QA test cases and UAT scripts ■ Static, outdated documentation post-launch ⚡ TO: GenAI-enabled PRD process ⚡ ■ AI-augmented synthesis with interrogation and summarization capabilities ■ GPT-powered co-creation that aligns across stakeholders and domains ■ Instant generation of interactive prototypes for each feature or improvement ■ Real-time prompt refinement during working sessions to shape ideas ■ Automated artifact updates from meeting transcripts and decisions ■ Auto-generation of features, user stories, and acceptance criteria ■ Automated creation of QA test cases and UAT scripts ■ Continuously evolving, real-time documentation synced with changes 🧠 What it means for PMs 🧠 1️⃣ You’re no longer measured by specs, but by how fast you validate and ship ideas 2️⃣ Documentation isn’t dead, it’s now a dynamic, AI-supported asset 3️⃣ The best PMs don’t “own the doc”, they orchestrate the system Shai Dinnar Diana Cordova Shivani Rathi Emily Gao Dane Greisiger Justine Wang Kushal T. Anne Schmitt Bradley Antcliff Dimitrios Lippe

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So grateful for this opportunity to co-create something meaningful for the world of work@ Neerja Bharti MIT EMBA GeniusMesh Over the years, working globally at the intersection of CXO advisory, talent strategy, leadership development, and enterprise transformation, I’ve seen one truth repeat itself- organizations don’t struggle because they lack talent, they struggle because they lack the systemic muscle to identify, develop, and scale leadership with consistency, context, and speed. That creates real risks- career risk for leaders and growth risk for businesses. AI acceleration has further accentuated this problem, and the leadership is now the last line of defence. That’s why I’m committed to build a Leadership Operating System for the AI era- connected, always-on, always learning, ecosystem- that brings together business needs, talent capabilities, and leadership development so organizations can build future-ready leaders at every level with ease and predictability. We imagine a world where every business is led by future-ready teams — where leaders are consciously cultivated, not left to chance — and where the growth of leaders, organizations, and AI innovation reinforce each other (not extract from them). Cultivating leaders. Transforming futures. Together. If you’re a business or talent leader focused on building sustainable leadership teams, succession readiness and transforming internal talent pools, I’d love to connect. We’re building the next chapter of GeniusMesh with partners, customers, and collaborators who genuinely care about getting this right. #GeniusMesh #Product #Growth #BusinessStrategy #TalentStrategy #LeadershipDevelopment #ExecutiveSearch #TalentTransformation #SuccessionPlanning #Coaching #FutureOfWork #AgenticAI#Leadership Operating System

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