Ananay Batra

AI will generate demand. Merchants will create value. @Shopify connects the two.

🚨Dunzo founder Kabeer Biswas' new startup M wants to automate your home, starting with the kitchen Biswas believes the physical effort of running a household has largely been solved. Groceries, medicines, meals and almost everything else can now be delivered to the doorstep in minutes. The harder problem, he argues, is the invisible coordination that still happens inside the home — from deciding what's for dinner and replenishing groceries to managing household staff and keeping everyday chores moving. That is the premise behind M, Biswas' new AI startup. The company starts by managing the kitchen, but its ambitions stretch far beyond. Over time, Biswas wants it to become an AI-powered operating layer for the home. The question now is: now that everything comes in 10 minutes, what's next in urban convenience?" Biswas told Moneycontrol. "We think it's the mental fatigue involved in managing a house. If Claude can run your work, can M run your house? That's potentially what we're chasing." The startup recently emerged from stealth after raising Rs 102 crore in a seed round led by Peak XV Partners, with participation from Blume Ventures and fintech major CRED. It currently serves around 150 households in Bengaluru, employs about 45 people and aims to expand to 10,000 homes over the coming months. According to Biswas, monthly retention is above 90 percent, daily active usage is around 82 percent and only four customers have churned so far. By @AryamanGupta_ moneycontrol.com/news/business/…

Hello World! I'm excited to share the launch of Hang Ten Systems, a new endeavor to help enterprises thrive in the age of AI. AI is upon us all like a massive new wave. And I learned a long time ago that when there are big waves around, it is time to surf. Not just to surf, but to hang ten — to master the wave so well that you can walk all the way to the front of the board and hang your ten toes off the front. Hang Ten is already helping some of the world's biggest and most important enterprises — like Fresenius, Siemens Energy and others — hang ten on the biggest wave of our lifetimes. Our dream is to help enterprises not just transform with AI, but use it as a force to do what no one could do before. We're backed by a remarkable group. Mayfield leads our round; @NavinChaddha and I were students together at @Stanford and always looked for an excuse to work together. They are joined by @aramcoventures, the strategic venturing arm of Saudi @Aramco, one of the world's largest companies and a key leader in energy and infrastructure, as well as some of Silicon Valley's best-known angels. And I'm privileged that Jerry Yang — also a friend since Stanford — serves on our board. Building Hang Ten with me is the core team I've worked alongside for years: @navinb, @sanjaypaloalto, Tao Liu, Frank Yu, Pradeep Panicker, Yusuf Safdari and ten other big wave surfers. Over time I'll share more about Hang Ten and our work. For now I'll say only this: I have seen, firsthand, the dramatic things AI delivers for the people and teams who somehow just know what to do with it — I have watched them, and myself, reach in minutes what could take teams years of toil. And I have seen the far greater number who get none of it, and who often end up causing harm instead. In that gap lies the biggest opportunity of our time. It is time to ride this wave. If you're a surfrider — someone who lights up at the chance to help businesses solve the hardest problems they face — write to us (jobs@hangten.ai)! — Vishal

We’re excited to introduce Taste Labs. Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste. And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design. There are two sides to cracking this, the foundation model layer and the agent layer: - We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments. - We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs. We want a future where AI feels right. If you’re passionate about this mission, join us!