<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Home on saurabh</title><link>https://unfoundbox.com/</link><description>Recent content in Home on saurabh</description><generator>Hugo -- gohugo.io</generator><language>en-gb</language><lastBuildDate>Mon, 15 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://unfoundbox.com/index.xml" rel="self" type="application/rss+xml"/><item><title>India Data Center Capacity: Current Base, Pipeline, and What It Means</title><link>https://unfoundbox.com/posts/india-data-center-capacity/</link><pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/india-data-center-capacity/</guid><description>India Data Center Capacity: Current Base, Pipeline, and What It Means India&amp;rsquo;s data-center market is already at gigawatt scale, and the next wave is large enough to change the structure of the market.
The research problem is that public numbers mix definitions. Some sources measure IT load. Some measure total power capacity. Some include only colocation. Others include broader campus announcements. If you force those into one clean number, you get false precision.</description></item><item><title>The Future of AI: A Map of Disagreement</title><link>https://unfoundbox.com/posts/ai-future-landscape/</link><pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/ai-future-landscape/</guid><description>The Future of AI: A Map of Disagreement The smartest people in AI agree on one thing: this matters enormously. After that, the map breaks apart.
Some expect a fast intelligence explosion. Some expect a sharp but continuous acceleration. Some think the current path is overhyped, bottlenecked by the physical world, or missing the architecture required for real general intelligence. The honest landscape is not a single forecast. It is a map of disagreements between people who have thought about the problem seriously.</description></item><item><title>DIY Smart Robot With a Local Gemma Brain</title><link>https://unfoundbox.com/posts/diy-smart-robot-gemma/</link><pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/diy-smart-robot-gemma/</guid><description>DIY Smart Robot With a Local Gemma Brain The best way to build a small AI robot is to keep the architecture boring.
Use the local model for high-level reasoning, explanations, and plans. Use deterministic firmware for timing, motor control, watchdogs, limits, and emergency stop. The model should never drive motors directly.
That separation is the whole project.
Goal Build a small rover that can:
See through a camera Talk through a local chat or voice interface Move safely through short constrained commands Run high-level reasoning through a local Gemma-style model Log every run so behavior can be debugged The first version should use a laptop brain.</description></item><item><title>Local Inference on WebGPU: Where Small Models Actually Win</title><link>https://unfoundbox.com/posts/webgpu-local-inference/</link><pubDate>Sun, 07 Jun 2026 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/webgpu-local-inference/</guid><description>Local Inference on WebGPU: Where Small Models Actually Win The exciting version of browser AI is not &amp;ldquo;run a giant chatbot in a tab.&amp;rdquo; The useful version is narrower and more practical:
Train or fine-tune a small model in Python, export it to ONNX or a browser-friendly runtime, and run the loop locally through WebGPU.
As of this research snapshot, that loop is real enough to build with. The advantage is not universal, but in a few cases it is decisive: private data stays on device, latency drops below the threshold where interaction feels live, server cost goes to zero, and offline use becomes possible.</description></item><item><title>Ideas at the intersection of newer web standards</title><link>https://unfoundbox.com/posts/web-standards/web-standards/</link><pubDate>Sat, 01 Mar 2025 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/web-standards/web-standards/</guid><description>Web API Market Opportunity Analysis Report Opportunity Analysis Matrix Concept Core Technologies Market Opportunity Target Segments Technical Feasibility Time to Market Market Size (5yr) Monetization Potential Key Differentiator Primary Challenge Real-time Collaborative Video Editing WebCodecs, WebGPU, WebTransport Disruption of professional video editing market with browser-based tools Creative professionals, prosumers, education Medium-High 12-18 months $5-7B High (SaaS, freemium) Zero-install professional editing Complex UI requirements and workflow matching Distributed AI Video Enhancement WebCodecs, WebGPU, WebTransport, WebNN Democratizing high-end video enhancement without cloud costs Content creators, post-production houses Medium 18-24 months $3-4B Medium-High (usage-based) Distributed processing reduces cloud costs Ensuring consistent quality across device types Low-Latency AR Conferencing WebCodecs, WebGPU, WebTransport, WebXR Next-generation immersive meetings beyond traditional video calls Enterprise, education, remote work Medium-High 12-18 months $8-12B High (enterprise SaaS) True sense of presence without specialized hardware Network variability management Browser-Based Cloud Gaming WebGPU, WebTransport, WebCodecs Expanding gaming access without downloads or specialized hardware Casual gamers, emerging markets High 6-12 months $15-20B Very High (subscription, in-game) Instant play without friction Latency guarantees for competitive play Interactive Live Streaming WebCodecs, WebGPU, WebTransport Transforming passive viewing into participatory experiences Content creators, entertainment, education Medium 12-15 months $10-12B High (tips, subscriptions, advertising) Real-time audience interaction beyond chat Scaling to millions of concurrent users Edge-Distributed Video Intelligence WebNN, WebGPU, WebCodecs, WebTransport Privacy-preserving video analytics without cloud transmission Retail, security, manufacturing Medium-Low 18-24 months $4-6B Medium (B2B licensing) On-device processing preserves privacy Consistent analysis across device capabilities Real-time Federated Learning Platform WebNN, WebGPU, WebTransport Machine learning without data centralization Healthcare, finance, sensitive data industries Low-Medium 24-36 months $2-3B Medium (B2B, usage-based) Training ML models without exposing raw data Complex implementation and model convergence AI-Assisted Content Creation Studio WebLLM, WebNN, WebGPU, WebCodecs End-to-end content creation with AI assistance Creators, marketing, small businesses Medium-High 12-18 months $7-10B High (tiered SaaS) Complete creation suite with generative AI Balancing automation with creative control Multimodal Interactive Streaming WebNN, WebGPU, WebTransport, WebCodecs Beyond passive viewing with multi-sense engagement Gaming, education, entertainment Medium 18-24 months $5-8B Medium-High (premium content) Multi-sensory participation Designing intuitive interaction models Personalized WebXR Experiences WebNN, WebGPU, WebTransport, WebXR Custom immersive experiences adapting to each user Retail, tourism, education, entertainment Low-Medium 24-30 months $6-9B Medium (venue licensing, premium content) Truly personalized shared experiences Complex orchestration of shared/personal elements Breakthrough High-Potential Opportunities Concept Core Technologies Market Opportunity Target Segments Technical Feasibility Time to Market Market Size (5yr) Monetization Potential Key Differentiator Primary Challenge Neural Browser Engine WebNN, WebGPU, WebAssembly, WebTransport AI-native browser capabilities revolutionizing web interaction All digital users, enterprise Low-Medium 24-36 months $25-30B Very High (ecosystem, licensing) Fundamentally new interaction paradigm Technical complexity and standardization Decentralized Creator Economy Platform WebGPU, WebTransport, WebNN, WebCodecs Creator-owned, browser-based content economy without platforms Content creators, consumers Medium 18-24 months $20-25B Very High (transaction fees) Direct creator-consumer relationship without intermediaries Building critical mass of creators and users Spatial Web Workspace WebXR, WebGPU, WebNN, WebTransport 3D operating system in the browser for collaborative work Enterprise, knowledge workers Medium-Low 24-36 months $15-20B High (enterprise subscription) Reimagining productivity beyond 2D paradigms UX design for 3D productivity Detailed Opportunity Analysis Top 3 Opportunities by Overall Potential: Browser-Based Cloud Gaming</description></item><item><title>How I Went from a Small Town Kid to Working on Cutting-Edge AI</title><link>https://unfoundbox.com/posts/sabattical/sabbatical/</link><pubDate>Mon, 24 Feb 2025 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/posts/sabattical/sabbatical/</guid><description>So here&amp;rsquo;s my story - I grew up in a small town in Rajasthan, raised by my kickass single mom and elder sister. School was my thing, and when I hit 11th grade, I fell hard for C++ programming. Like every other Indian kid with decent grades, I ended up at Allen Institute Kota for IIT-JEE prep. Spoiler alert: The pressure cooker environment there? Yeah, not my scene.
Landed at BIT Bangalore for telecommunications engineering instead.</description></item><item><title>Nomading</title><link>https://unfoundbox.com/pages/nomading/nomading/</link><pubDate>Sun, 12 Jan 2025 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/pages/nomading/nomading/</guid><description>vectorly team offsite in koh phangan
hopin team offsite in cancun
mini euro trip
digital nomading in south east asia
living in bangkok for 3 months
living in da nang for 1 month</description></item><item><title>About</title><link>https://unfoundbox.com/pages/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://unfoundbox.com/pages/about/</guid><description>Hey there fellow startup builder! I have been an early stage engineer with some product chops for around 8 years now having worked with a half dozen startups from bootstrapped/pre-seed funded to unicorns.
My base is in my hometown Udaipur, India and I have been exploring digital nomad lifestyle traveling around south east Asia from last couple of years.
I&amp;rsquo;m at a stage in my life / career where I want to double down on working towards things that I&amp;rsquo;m really passionate about and gives me a sense of purpose.</description></item></channel></rss>