Travis Kalanick got publicly fired from the company he built. 100+ headlines a day. Lawsuits. Board betrayal. The most brutal CEO exit in tech history. His response? He didn't go on a podcast revenge tour. He didn't write a book about "what really happened." He didn't tweet. He said: "I gotta wake up every day and just get to work and build." So he disappeared. For 8 years. He built an AI robotics company with thousands of employees — and made them ALL sign agreements not to put the company name on LinkedIn. Named it "City Storage Systems" so nobody would even bother Googling it. His reasoning? When you remove the fame incentive, something interesting happens. You attract people who actually want to BUILD — not people who want to be seen building. His exact words: "You build a culture of people that want to build and do not need to be famous when they do it, which basically means emotional intelligence." Let that sink in for a second. Stealth = emotional intelligence filter. In a world where everyone's posting their "day 1" launch tweets and resharing GPT wrappers for clout — the real builders are heads down. Quiet. Solving actual problems. That's the real flex. Not the launch post. Not the "just hit $10K MRR" screenshot. Not the followers. It's the person who keeps building when nobody's watching. When there's no likes. When it's Tuesday night and you're debugging an API and nobody knows and cares. That's the founder DNA that actually compounds. The loudest people in AI right now are mostly resharing GPT wrappers and posting engagement bait. The ones who are going to win? They're heads down. Quiet. Solving a real problem for a real person. Not trying to be famous — trying to be useful. 8 years of silence. Then he showed the world what he built. You don't need 8 years. But you might need 8 weeks of shutting out the noise and just building. Full interview here — worth the watch: What are you working on that nobody knows about yet? 👇

Just put together a full tutorial on DeerFlow 2.0 — ByteDance's open-source multi-agent framework that does deep research for you. It uses sub-agents, sandboxes, memory, and tools to autonomously research any topic, analyze data, and even generate artifacts like slides and web pages. Setup took me about 3 minutes. In the video I walk through the full installation, run a live research demo on trending AI tools on GitHub, and show you what DeerFlow actually outputs. Full video here: https://www.youtube.com/watch?v=R22HnnwN4U4 Resources: GitHub: https://github.com/bytedance/deer-flow Website: https://deerflow.tech/ What would you use an autonomous research agent for?

Hello! Welcome to the AI Agents Accelerator. This Skool is designed to support AI entrepreneurs in building and launching monetizable AI products. While some members have achieved significant results, outcomes depend on individual effort, execution, and market conditions. Start by checking out these links - Classroom - Roadmap - Community Practices - Apply to join the AI Product Accelerator To kick things off, please comment below introducing yourself. Let us know: 1. Your name 2. What project you're currently focused on 3. Share your recent or upcoming vacation destination See you in the comments!

You’ve got to bet on yourself. It’s the closest thing to legal insider investing. When you know deep down that you’re built to win, there’s really only one bet that makes sense: the one on you. The market rewards conviction, and the boldest conviction you can have is in your own ability to figure it out, adapt, and come out on top.

This is a living set of practices. You may notice updates and changes as we work to make this better. We are curious, open and respectful This is a space to learn, share and grow together while showing respect for one another’s basic personhood. We practice inner inquiry. We ask questions. We are open to observations of our behavior, and we are open to sharing feedback with others regarding their actions. We help each other learn and grow by “calling in” (to conversation) instead of “calling out” (with blame). We stretch our willingness to be uncomfortable. We honor confidentiality “What is shared here stays here, what is learned here is shared widely.” If something is communicated in a specific space, we don’t share it beyond that group without permission from the person who shared it. If something is communicated that changes the way that we think and process, we share the benefits of that new awareness. Ex: We share themes and takeaways with the wider Zoom group after a breakout session and we give others control over what they want to share of their personal experiences. We are generous Being mindful of the wellbeing of the group means taking care of ourselves and each other. We celebrate our progress and find a sense of play in our work. We forgive ourselves when we make mistakes and embrace that, while we all want to strive to improve ourselves, we are also enough as we are. We ask for what we need and offer what we can. We speak from our own experience We make sure we’re not generalizing to entire groups of people or presuming anything about someone else’s experience. We speak with “I” statements and questions (I believe, I wonder, I struggle with, I was hurt by, etc) and we reflect on the social identities we carry that impact our experiences. We are better together No one knows everything and together we know a lot. Each person is coming to any given conversation with different levels of lived experience and embodied expertise. We believe that each person has something to contribute. We practice being humble and looking for what we have to learn from each person in the room. We share what we know, as well as our questions, so that others may learn from us.