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Distribution thinking beats features. Before building a product, have answers to these two questions ready: Who will use this tomorrow? How does this spread?

That jump from 9B to 30B run-rate signals one thing clearly: AI demand is no longer experimental, it is infrastructural. But the interesting layer is underneath: Revenue is not profit in AI. - Inference costs are still significant : Every token generated has a real compute

From my drafts, honest observations about how I look at the world currently.

Do not just build a product. Pitch a movement. - A new future. - A market shift - A wedge into something big.

What NOT to build if you are serious about your goals in 2026 - ChatGPT wrapper with UI - "AI notes / todo / journaling" - Pure LLM playground - Anything without a clear user

Razorpay will be studied how they were the first to go agent first.

Before building, use this framework to validate your ideas: - The Problem Test: Is the pain deep enough that someone will pay? - The Demo Test: Can I show the "Aha!" moment in under 30 seconds? - The Replacement Test: Does this replace a core workflow or just assist one? - The

ANTHROPIC'S "MYTHOS" IS TOO DANGEROUS TO RELEASE. The AI safety lab just revealed a model so powerful, they've locked it behind a restricted coalition called Project Glasswing. Here is what you must know what in there: 100% Hack Rate: It scored a perfect 100% on every

Managed agents did not kill agent startups, they just exposed how shallow most of them were. If your product was stitching together LLMs, tools, and infra, you were building on borrowed time. That layer just got commoditized.

Airplane Mode for AI has finally landed. Google dropped Gemma-4 a few days ago, and you can now run a powerful AI agent locally on your phone with ZERO data or Wi-Fi. Here what you must know to get the reason behind all the hype: AI Edge Gallery: A new free app lets you

Are we witnessing the final chapter of human innovation? Back in 1965, Irving John predicted an "intelligence explosion" where smart machines would build even smarter ones, and today that cycle is officially in motion. We have reached a point where AI is not just a tool, it is a

The simplest path to making money fast: - Find a service people already buy - Do it in half the time, make it twice as easy, or remove all the risk - Ask everyone you know if they know anyone who wants it - Charge more than everyone else - Don't stop when you get bored

spent the last few months obsessively studying small saas tools that are quietly printing money. not the ones with venture funding and marketing teams. the ones built by 1-2 people making $5K to $15K per month with barely any public presence. i found 12 of them across different

One of the highest ROI activities you can do in your life is to deeply internalize that building good habits is a short term investment that compounds to lifelong gains. Any new good habit requires overcoming initial friction, but techniques like habit stacking and starting

Someone monitored 500 YC companies and 80% of them are using the same growth channel He went through roughly 500 companies across the last few batches. just looking at their social presence, what kind of content they were pushing, whether it looked like agency stuff or something

Github stars are just for the marketing, not for trust.

This got buried in the news last week without making much noise but this step by OpenAI matters for the future we are heading towards with AI. OpenAI proposed a sweeping policy for managing superintelligence, calling for a "social contract" that includes robot taxes, an AI