Birjodh Singh Tiwana

Started my Sat morning watching an hour and a half long podcast of Nikhil Kamath and Vinod Khosla (Best weekend morning ritual) There’s something rare about listening to someone who’s spent decades backing wild ideas, and still sounds genuinely curious. No jargon, no ego, just truth bombs. One line that stuck with me - he called himself “tech curious.” Not “tech expert.” Not “futurist.” Just curious. That energy? That’s the energy I want to carry with me. Here’s what else hit me hard, and I feel every early professional should know this: → Take uncomfortable bets Most people want guaranteed ROI. But the biggest impact often comes from long shots, ideas that feel unreasonable, even laughable at first. If you’re playing only to avoid failure, you’ll never get to exponential upside. This reminded me that the game isn’t to be right, it’s to "TRY". He said it best- "Skeptics are people who never did the impossible.” → Don’t box yourself in The most valuable skill in today’s world isn’t a degree or niche experience, it’s the ability to learn fast. Generalists who can context switch, learn on the fly, and connect dots across fields will always stay ahead. Early in your career, that’s your superpower. Don’t box yourself in. Especially in AI, where nothing stays still. → Be the solver One part that really stayed with me was when he talked about Elon Musk. He didn’t wait for the government or the legacy automakers to lead the EV future- he just built it. Today, 25% of California drives electric. Not because of a white paper, but because someone took the uncomfortable, high-risk route, almost went bankrupt, but still followed through. It made me realize: big change doesn’t happen when you wait for the stars to align. It happens when you take action anyway. So here’s my fav takeaway - the 3P filter I’m keeping in mind moving forward: ❤️ Passion – to care deeply about the problem ❤️ Persistence – to keep going when logic says give up ❤️ Pragmatism – to stay grounded while dreaming big If you’re someone who loves being uncomfortable, you’re probably on the right path. Highly recommend watching the full conversation. It’s one of those rare interviews that stays with you.

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“Human Edge in the AI Age” by Nitin Seth is a great read providing comprehensive strategies for humans to thrive and succeed in the AI World. Incedo Inc.

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Something unsettling happened recently that stayed with me. Our cook’s young son was hospitalised back home in India. The medical expenses quickly climbed to nearly ₹60,000 per day. What made it harder to process was that he earns in Dirhams and could have comfortably afforded basic health insurance. The real issue was awareness. He had never seriously considered it. I have seen the same pattern earlier in Bangalore with our domestic workers. A single medical emergency was enough to erase savings built over a decade. Not because they were reckless, but because no one ever explained how protection works. Most families in lower-income groups aren’t aware that protection exists at a price they can manage. Government schemes feel distant. Private insurance sounds like a luxury. Yet basic family floater plans from insurers like New India Assurance, National Insurance, or Oriental Insurance can cover ₹3-5 lakh for roughly ₹8,000-12,000 a year. That’s less than a single day’s hospital bill, and often less than what families end up borrowing when crisis strikes. This is not about blame. It is an access and education gap. Many of us are in a position to help bridge it. We understand insurance, paperwork, and basic processes that feel overwhelming to others. What we can do is start conversations. Explain why health insurance matters. Help shortlist a plan that fits their budget. Most importantly, show them how to actually use it when something goes wrong. This is about dignity and preparedness for families we work with, and for the broader community we are all part of. If you employ domestic staff, consider taking one small step this year. Help one family get covered and understand how to use that cover. If you’ve done this, or seen what actually works, I’d genuinely like to learn. What approach made the difference?

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🤝 Mentorship in Action After my last post on unlearning old skills to grow as a leader, a few people asked what I did keep through those transitions. For me, the answer is simple — mentorship. It’s been the constant across every stage — and honestly, as much about learning as teaching. It reminds me of sports: even the best athletes have coaches, not because they lack skill, but because great coaching builds perspective and resilience. Mentorship does the same for teams — it brings out their best. Early on, I thought mentorship was about giving answers. Over time, I learned it’s about creating space for others to find their own. Now, seeing someone I’ve coached step into leadership is the most rewarding part of the journey. As my org grew, mentorship evolved into a different kind of conversation — connecting with people several layers away. That’s where skip-levels started changing how I lead. More on that soon. ⸻ #Leadership #Mentorship #Growth #CareerJourney

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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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