@Neko Health is now open in NYC. CEO and co-founder @HNilsonne joined Lightwork this week to discuss Neko’s origin, business strategy, and growth model. Hjalmar had avoided healthcare his entire life until he got a cold DM from Spotify co-founder @eldsjal. He was inspired when Daniel asked him, “What if we redid healthcare from scratch?” Then, Hjalmar and the Neko Health team spent 4+ years in research and development. Neko Health’s hardware, software, and AI systems were built in-house to keep pricing accessible. Currently, the scans are priced at $499, but Hjalmar hopes that as technology improves, costs can be lowered to widen accessibility. Their newest location in NYC will be the ninth, and the first in the US, following clinic openings in the UK and Sweden. Congratulations to the entire Neko Health team on this huge milestone. Full episode link in the comments. 0:00 "The Most Important Hour You Can Spend On Your Health" 0:46 Growing Up In A Family Of Doctors And Daniel Ek's Direct Message 6:02 Five Years Building And The Vertically Integrated Approach 9:35 The Neko Scan Experience 11:24 Why Build Everything In-House And Neko As A Real Estate Company 17:47 Myth Busting Worried Well And Over-diagnosis 21:43 Do You Still Need A PCP And Why Pay Out Of Pocket 24:11 What Happens To Your Data And Why New York First 26:24 Adapting To The US Healthcare System And Landing On 499 Dollars 28:07 What Is Hardest To Scale And The Big Vision 30:58 The R&D Team And Why Longitudinal Data Matters 33:02 Thank You And Closing @clairejyz @Machiz

Heyo! After 8 years of R&D and learnings from 100,000+ scans in Europe, @Neko is finally live in the US! Our clinic in NYC features our new scan room, fitted out with the latest generation of our medical devices (FDA cleared) ✌️ The Neko Lab can now analyze 50+ blood biomarkers with every scan, with results delivered within the same 1 hour visit. 25,000+ people are already on the waitlist and we just started inviting our earliest supporters to book.

We trained a robot to play football. How? Self-play for 140 years in a virtual World Cup. Meet the #Messinator:

While corporate travel has been centralized for decades, corporate entertainment is still comparatively scattered. On Lightwork, Lohit Sarma shared how he approached that problem at @weareande: start with supply. He spent the last two and a half years building the network from that side first, including going door to door with hospitality groups before scaling the enterprise side. Corporate entertainment still runs on relationships. AI can handle things like availability, pricing, and multi-player workflows, but Lohit draws the line at negotiation. As he puts it, “one bad event is one lost relationship that they can’t recover from.” Tune into the full episode below! Chapters: 0:00 Ande Comes Out Of Stealth 2:17 Why Corporate Entertainment Has Stayed Fragmented 4:51 Lohit Sarma's Background (Lifion by ADP) 9:51 What CFOs Revealed About Fraud And Offshore Teams 10:47 Building The Supply Side First 16:44 Ande's Enterprise Customers And Rollout Strategy 18:40 How AI Is Built Into Ande's Ethos 22:58 The Future Of Ande 26:11 Hiring A Team To Build A Category 29:38 What Can Break At Ten Times The Size 31:50 Celebrating The Launch And Where To Find Ande @keepingittlo @clairejyz @machiz

I'm excited to announce @SnorkelAI's $350M Series E at $3.5B, led by @insightpartners and @S32_VC. We've grown 18x+ in the last 12 months since launching our Data-as-a-Service offering, passing $375M ARRR this week. As AI advances to superhuman capabilities, AI data & environment development must advance with it - and basic staffing and crowdsourcing approaches are not enough. AI progress now requires deep research and technology work that combines human expertise with specialized AI in compounding ways. @SnorkelAI is building the RSI data engine and frontier data lab for this next phase. We're honored to have the support of existing investors Addition, @lightspeedvp, @GreylockVC, @GVteam, P7, Factory, @WellsFargo, Walden Catalyst Ventures, and new investors @ThirdPointLLC, @MarchCPs, @BlumbergCapital, @AllegisCapital, @Frontlinevc, and @standard_vc. – @SnorkelAI started as a research project a decade ago at @StanfordAILab. Our thesis was simple: AI progress would become increasingly data-centric – and therefore data development should be studied as a true research and technology problem, not just a staffing and crowdsourcing one. Today, as AI capabilities verge on superhuman, building the data and environments to safely measure and train AI is becoming too hard for even the smartest human experts to do alone. Only humans and AI agents, collaborating together in compounding ways, can meet the accelerating needs of the frontier, and keep humans in the driver’s seat of AI progress for decades to come. At @SnorkelAI, we are building the data lab to define the shape of this new “Data 2.0” frontier, and the new paradigms of human-computer interaction needed to advance it. Our key focus is building the RSI engine for data, where specialized AI models accelerate and improve human expert output, and in turn, scaled human supervision is used to continuously evaluate and improve these models – creating a powerful compounding loop to keep pace with an accelerating RSI frontier. With this round of funding, we are also doubling down on our commitments to support data development for open benchmarking and evaluation (more news here soon!); an increasingly diverse ecosystem of general and specialized intelligence; and a path to safe, well-aligned AI built on robust training and evaluation data. Data development will guide and drive the next stages of AI – and must do so in a human-centric, AI accelerated, open, diverse, and safe way. We are excited to support this mission in the next decade of research ahead at @SnorkelAI. More thoughts here: snorkel.ai/blog/data-2-0-and…

While corporate travel has been centralized for decades, corporate entertainment is still comparatively scattered. On Lightwork, Lohit Sarma shared how he approached that problem at @weareande: start with supply. He spent the last two and a half years building the network from that side first, including going door to door with hospitality groups before scaling the enterprise side. Corporate entertainment still runs on relationships. AI can handle things like availability, pricing, and multi-player workflows, but Lohit draws the line at negotiation. As he puts it, “one bad event is one lost relationship that they can’t recover from.” Tune into the full episode below! Chapters: 0:00 Ande Comes Out Of Stealth 2:17 Why Corporate Entertainment Has Stayed Fragmented 4:51 Lohit Sarma's Background (Lifion by ADP) 9:51 What CFOs Revealed About Fraud And Offshore Teams 10:47 Building The Supply Side First 16:44 Ande's Enterprise Customers And Rollout Strategy 18:40 How AI Is Built Into Ande's Ethos 22:58 The Future Of Ande 26:11 Hiring A Team To Build A Category 29:38 What Can Break At Ten Times The Size 31:50 Celebrating The Launch And Where To Find Ande @keepingittlo @clairejyz @machiz