Adarsh
A strange thing happens when you ask ten people what a startup is. One person talks about venture capital, another talks about technology, and someone else imagines a small team working from a coffee shop trying to build the next billion-dollar company. Most answers revolve around growth, funding, products, and ambition. I used to think … Read more
When I first started learning about startups, I had a completely different understanding of product-market fit than I do today. I assumed that product-market fit was something companies achieved after they became successful. Whenever I read stories about startups raising large funding rounds, reaching impressive revenue milestones, attracting media attention, or growing rapidly, I believed … Read more
Most founders first hear about the YC deal through a tweet, YouTube video, or startup thread saying: “YC invests $500,000.” It sounds simple until you actually open the documents and start seeing terms like SAFE, MFN, uncapped, post-money, and dilution everywhere. That’s usually when the whole thing starts feeling much more complicated than expected. But … Read more
Y Combinator (in short called as YC) is the most famous startup accelerator in the world. Since 2005, it has funded over 5,000 companies, including household names like Stripe, Airbnb, Reddit, and Coinbase. If you are planning to apply, understanding the basics is crucial. Here is a simple, direct breakdown of how YC works. Key … Read more
The Y Combinator application is not a traditional pitch; it is a brutal test of clarity. Every batch, YC partners read tens of thousands of applications, and the vast majority are rejected for one simple reason: the founders cannot clearly explain what they actually do. They hide a good business behind layers of corporate jargon … Read more
Peter Steinberger, the founder behind OpenClaw, just posted one of the most revealing screenshots in AI tooling this year. His latest CodexBar update shows real-time API spending, token usage, and request volume in a way that makes the economics of AI coding impossible to ignore. The screenshot quickly spread across X because it answered a … Read more
Most programming languages were built for humans sitting behind keyboards. Humans write the code, humans read the errors, and humans fix the problems when software breaks. But AI coding agents are starting to handle more of that work on their own, and developers are beginning to realize current programming languages were never really designed for … Read more
Cold outbound used to be simple. Find a list, send enough emails, and hope somebody replies. That playbook is breaking fast. Buyers ignore generic outreach now, while sales teams spend hours juggling tools just to make outbound feel personal. Cardinal thinks AI agents can fix that. The startup is building what it calls an AI … Read more
In India the phone is still the backbone of business – banks, e-commerce companies and even schools rely on it daily. But handling calls in 10+ languages and dialects is a nightmare. That’s why a Bangalore startup built AI voice agents to do the job. Bolna’s system speaks Hindi, Tamil, Marathi and more, automating routine … Read more
AI agents can write code, manage workflows, and browse the internet on their own now. But ask one to call a customer, send a text, or handle a verification code, and everything suddenly breaks apart. That problem pushed Meet Modi and Manav Modi to start AgentPhone. The startup gives AI agents something simple but surprisingly … Read more