the ONLY KPI that matters in distribution is how many users each user brings in. k-factor above 1 and distribution funds itself. below 1 and you're stuck buying every customer at a loss. be incredibly calculated with product, features and launches. ship to share.

virality without conversion is bullshit. start with where your buyers hang out. what do they engage with, who do they follow, what do they share publicly. then pay attention to the timeline. the angles, who said what, what's trending (you can automate this btw)… the game of social media is right audience plus right timing.

co-inventor of ChatGPT and RLHF, 2 years in stealth. today @typesafeai shipped a model that doesn't hallucinate, answers in under 500ms, and charges nothing for output tokens. one of the wildest launches of the year.

attention runs the world. no platform comes close to X on density. the best founders, investors and engineers alive are reading the same timeline. pay attention to where people pay attention, then build there.

Introducing Bolt Forge. Free until Oct 14th: - Up to 50x more usage - The new frontier: GLM, DeepSeek, Kimi - Zero usage charges Live now in your model picker on And one more thing... 👇

a launch is a distribution event. most founders I talk to spend months on the video and an hour on how it gets distributed. your distribution plan matters as much as the creative. build the list before you build the asset. tell your cap table, your network, at bare minimum your friends. know which accounts are posting, in what order. 1 + 1 = 10.

data and distribution are the two moats today. no debate. Instinct is the most talked about product in AI and most people can't get an invite. Meta shipped Muse this week. it’s free and inside WhatsApp. any well capitalized company can and will copy the product. find the angle and go all in.

Today we're announcing @lightfld's $47M Series A led by @a16z to reimagine CRM as a world model of a business. For agents to do customer-facing work, they need to understand how your business actually works. Salesforce wasn't designed for this. It was built 20+ years ago for humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need. @lightfld updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users. Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works. The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.

Everyone everywhere feels like they’re missing out on something right now. The New Yorker feels they are missing the tech renaissance The SF kid thinks they’re missing the equity gains of the big labs The open ai employee thinks they’re missing out on life as it passes them by Avoid the FOMO and bet the house on whatever makes you happy + puts love in your heart and do it extremely well. Everything else will sort itself out.

The future of AI belongs to the humans behind it. There’s a common fear that as AI gets better, people get pushed out of the picture. We believe the opposite is happening. AI is creating entirely new categories of work, and an entirely new economy around the people whose knowledge, judgment, and experience are helping these systems improve. Today, tens of thousands of experts are actively contributing to AI training projects through micro1. Over time, we believe this will grow to tens of millions+. And if humans are going to play such a critical role in building the future of AI, the companies they work with should raise the standard for how they’re supported. Today, I’m proud to announce the micro1 Expert Support Program. We’re building a new set of protections, resources, and support for our expert community, starting with: -Expert Bill of Rights: a clear set of commitments outlining what experts can expect when working with micro1. -Rest Credits: paid time away from projects when experts need or want a break. -Expert Emergency Fund: financial support for experts facing emergencies. -Mental Health & Coaching: new resources to support expert wellbeing and growth. -Confidential Support Line: a confidential way to ask questions, seek support, or raise concerns related to pipelines. Within the next two weeks, every expert currently active with micro1 will receive an email with the full program details and launch dates. AI is going to keep getting more capable. The opportunity in front of us is to make sure the people helping build it benefit from that progress too.