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"You'll be shirtless at the Malayali wedding" - Kamya (Feb '26) There's a version of this story where my fiancée (now wife) said this to me, I panicked about photos, tried a 30-day program I found on YouTube, meditated, and showed up at the wedding looking like a model. This is not that version. What actually happened was messier, more methodical, and, I'd argue, more honest. This is that version. I. Setting a goal (Performance: 8/10) Most people who decide they want to "get

With all eyes on Yann LeCun, one of the most celebrated AI scientists of the last 20 years, after his unceremonious exit from Meta, it’s a bit disappointing that one of his first public posts covers "AI-powered weapons to defend liberal democracies." It comes in the backdrop of defense-tech funding jumping from less than 1% of VC funding in 2020 to a solid 10% of funding today, in a trend which I find deeply disturbing. To understand why this enthusiasm from one of AI's forem

In this article, we explore the evolving landscape of FemTech devices designed to monitor and enhance women’s health and wellness. Specifically, we address the following key questions: What are the unmet needs in women's health? What is the overall landscape of "Femtech" solutions? How are key players tackling these problems? What are emerging trends in capital deployment and startup focus? I. Unmet needs in women's health According to WEF estimates, despite living longer tha

In this article we cover the landscape of devices used to track fitness and health parameters

Deep dive on US Digital Landscape from the lens of who pays for it

Optimization levers across tech stack from semiconductor infrastructure to client facing apps

Market size, competitive landscape, regulatory hurdles and risk faced by AI mental health chatbots