Meet the most promising companies from the latest @ycombinator batch 👀 One big takeaway: AI agents need more than intelligence. They need memory, identity, observability, compliance, insurance and power. My latest @Forbes deep dive 👇 forbes.com/sites/dariashunin…

Meet the most promising companies from the latest @ycombinator batch 👀 One big takeaway: AI agents need more than intelligence. They need memory, identity, observability, compliance, insurance and power. My latest @Forbes deep dive 👇 forbes.com/sites/dariashunin…

☕ @Mochatradeapp lets Indian retail traders take leveraged exposure to US stocks, pre-IPO names, commodities, and crypto. Perpetual futures up to 50x, settled 24/7, with INR deposits and withdrawals via UPI. No foreign remittance, no $250K cap, no T 2 wait. India is already the largest retail derivatives market in the world: ~60% of global equity derivatives volume, ~$30B traded daily, 140M accounts. But Indian F&O traders who want NVDA, TSLA, or SpaceX exposure have been stuck choosing between regulated brokers (spot only, capped, no leverage), sketchy offshore CFD shops, and crypto exchanges built for a crypto-native audience that most day traders just aren't. Mochatrade is the terminal these users already know! Join the waitlist: mochatrade.com @pioneer_fund is excited to support @theblackmanda, @_ParthVader_, and Utkarsh Sinha on this amazing adventure! They're the perfect founders for this. IIT grads and close friends of a decade who previously built a crypto wallet to 2M installs across 50 countries and $2B in volume before it was acquired: 🚀!

Today we’re expanding our support for @HyperliquidX by becoming the platform’s official treasury deployer of USDC. Onchain markets operate 24/7 and require collateral that is always available, instantly transferable, and deeply liquid - USDC delivers exactly that. Alongside this, we’ve also significantly increased our position of staked HYPE.

Mochatrade (@mochatradeapp) is a perpetual futures trading platform that gives Indian traders access to 50 US stocks (Tesla, Nvidia, Apple), indices and crypto - funded in INR via UPI, with up to 50x leverage, available 24/7. Congrats on the launch, @theblackmanda, @ichooserain, and @_ParthVader_! ycombinator.com/launches/QJd…

got early access to @Mochatradeapp $20 to test the platform 👀 they even sent over a “beta access golden ticket” for the invite xD reported a issue after signing up and the founder pushed a fix almost immediately. love seeing this kind of startup velocity. mochatrade.com

🆕 NEW HIP-3 TICKER🆕 The $NIFTY (Index of the top 50 Indian companies) ticker has been purchased for 500 hyperliquid:native ($21,948) by @tradexyz

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.