The real estate bubble in a nutshell. The most valuable company on the planet would now have to outlay its total market cap just to buy its first office from a few decades ago. Crazy.

Listen to my conversation with @smagos of @MetaviewAI on Spotify: bit.ly/3v1R0Tu Apple: bit.ly/4bTCwpD Youtube: bit.ly/3uXthnv LinkedIn: bit.ly/3Xs8GQP Website: svppro.com ~~~~~~~~~~~~~ This episode is brought to you by Nebius — the ultimate cloud for AI innovators. Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers. AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more ~~~~~~~~~~~~~ #Hiring #Recruiting #HRTech #ProductManagement #FutureOfWork

Siadhal Magos (@smagos) Co-Founder of Metaview (@MetaviewAI) says there is a quiet arms race happening in the recruitment industry around the potential for AI to manage applications: "It's self-evident that you shouldn't have teams of humans scrolling through application after application". "Recruiting leaders at high caliber companies would always get frustrated with that. They'd be like, 'I want you out there...hunting and persuading this person who otherwise wouldn't be considering our company to give us a go.' "As a candidate, you can click a button, apply to a thousand jobs and see how it goes. It reminds me of if you're on a dating app and your tactic is just swipe right on everything". "Organisations want a way to use AI to avoid the clearly waste of time applications but most importantly, over time, [to] build up a mirror - an AI that actually understands what good looks like".

People of technology. We're live with a banger - let's ride Order of Play: - @smagos, Co-founder @MetaviewAI - @joncoker, Founding Partner at Eka Ventures - @vic_weller, Operations @ElevenLabs - @retrimentum, Founder of @upshot_cards - @TheBestOfAdam, Growth Consultant @Replit, @CodeRabbitAI & @Flightcast - @Zainmbrk, Founder @RedwoodFounders - @iancr, Chief Experience Officer @Legder - @ragnorco, Co-founder at Modern Relay - Donnell (Bev) Beverly Jr, President Russell Westbrook (@russwest44) Enterprises Leaked Memo from Open AI CRO Denise Dresser, US & UK regulation roll our post Mythos, META Builds AI Version of The Zuck, Zara Co-Founder Now Richest Real Estate Baron

Recruiters... hiring managers... finally, someone who understands you both. Metaview. Hire the AI recruiting coworker who gets it. metaview.ai/c/hiringinsync

asking a man a question and then calling them out for mansplaining brings me so much joy

The challenge we're laser-focused on solving? How humans & AI work together to build great teams. But AI won't move the needle in hiring without the right context, & that’s in your conversations. Catch more from @smagos in his Talent Talk with @GVteam ➡️gv.com/news/talent-talks-met…

On Talent Talks, a new series from the GV Talent Team, @SMagos of @metaviewai breaks down his approach to hiring and where he thinks the best indicators lie with GV Exec. Talent Partner, @hughes_rhys. Watch the full conversation: gv.com/news/talent-talks-met…

Our latest spotlight with @MetaviewAI is now live ✨ Read the full deep dive here: nextplayso.substack.com/p/me…

🚀 Big news: We raised a $35M Series B led by @GVteam! Thanks to our amazing customers and backing from GV @pluralplatform @vertexventures @seedcamp @zachcoelius @trueequityvc @vriparbelli @barneyhyeo 🙌 Next up: Tripling our team in SF & London, launching our suite of AI agents, and scaling our 10x Recruiting community

I had dinner the other night with a fascinating group of folks building AI-enabled products. PMs from companies like @perplexity_ai and @harvey__ai, plus engineers and founders. One question kept coming up: Why haven't incumbent software providers been able to leverage their valuable data assets yet? Both giants like @salesforce and growth-stage companies with 10 years of collected data seem to be struggling to deliver truly differentiated AI experiences. Most of us would assume these companies are sitting on data gold mines that should give them a massive advantage. But is that actually true? One perspective I found compelling: The historical data these companies have collected simply isn't the right kind to make AI models truly effective. The workflow data, outcomes data, or database info they've aggregated over the years might not be as useful as we'd think. What's most valuable in building agentic AI isn't just workflow data or outcomes data—it's a granular understanding of how humans actually perform tasks. This includes all the context switching between applications and even offline activities that traditional software workflows don't capture. The real value is understanding the detailed ontology of how tasks get done so you can replicate that in an agent. AI-native companies are building these task-level datasets from scratch and at the same time incumbents are trying to figure this out—potentially leveling the playing field. The counter perspective: Incumbents aren't failing; they're just slower. Over the next 12-18 months, we'll see them release AI that delivers differentiated insights thanks to this accumulated data. Their data is valuable; they're just taking longer to leverage it effectively. I don't know which view is right, but both offer interesting frames for thinking about the AI landscape and who might win in the long run. Curious what you all think—will incumbents' data moats prove valuable, or are AI-native companies starting on more equal footing than we might assume? Which incumbents are starting to leverage their data most effectively?

Everyone loves an ARR graph 📈 The one startup I’ve seen with a steeper exponential than Cleo is @MetaviewAI. @smagos and the team are absolutely crushing it over there.

🇬🇧 General Partner @bencasnocha hosted a lively gathering in London with Chairman @reidhoffman. The group discussed AI and where the most interesting opportunities lie. Some nuggets: 🔹Underrated AI use cases? We know dev tools & coding assistants—but where else can AI be transformative? For example, what are the biotech and drug discovery AI use cases? 🔹 Data as a moat? Conventional wisdom says proprietary data is the strongest moat in AI. But is it really? Stronger than network effects in software? 🔹 Engineering leverage favors startups. The gap between good & great engineers is widening—and startups benefit more. BigCo monolithic codebases make LLM coding tools harder to adopt. Thanks to everyone who attended, shared wisdom, and dropped some off-the-record hot takes. 😉 If you’re building AI where others aren’t looking, let’s talk!

Over the summer we partnered with Deel to implement AI into their candidate vetting process. Now, we're doing a live event with Alan Price, Siadhal Magos, and our founder Ali Ansari to discuss the impact AI is having on the recruitment industry today. Use this link to register and join us this Wednesday at 7am PST deel.com/events/mastering-ai…

My @pluralplatform partner @soundboy has the cover of @FT Weekend today - worth your time for a dose of confidence and optimism. Europe stand up tall! on.ft.com/4fagRtL

A perfectly written testament to “it is not the critic who counts”.

In this episode of HR Heretics, @NolanChurch and @kellidragovich sit down with @MetaviewAI CEO @smagos for his insight into how AI is transforming recruiting -- and creating unexpected leverage for teams that know how to use it. -- TIMESTAMPS: (00:00) Introduction (06:51) The Pain Points of Traditional Hiring (10:59) Interviews are Broken (14:20) Conversations are Key (14:26) Sponsor: Planful | Workvivo (17:00) The Future of Hiring (20:00) Conversations in the Future (21:59) The Evolution of the Recruiter (24:34) Legal and Accuracy Considerations (25:57) AI as an Iron Man Suit (27:50) AI's Next Level: Detection & Trends (29:31) The Power of Data (30:41) Sponsor: Metaview | Warp (32:00) Metaview's Value Proposition (35:00) The Efficiency Drive (36:55) The Future of Hiring Tech (39:23) The Importance of Product Management (41:00) Metaview's Roadmap (44:01) Wrap

🔥"Making Money in AI" panel w/ @MetaviewAI's @smagos @sanogenetics's @Charlotte_Guzzo @pluralplatform's @CarinaNamih at @tech_eu #techeusummit24 🔥

We're delighted to host Carina Namih (@CarinaNamih), Charlotte Guzzo (@Charlotte_Guzzo) and Siadhal Magos (@smagos) at the Tech.eu Summit London 2024, where they will be sharing their expertise on "Making Money in AI". #techeusummit24

We’re thrilled to announce that Siadhal Magos (@smagos), Co-Founder & CEO at Metaview (@MetaviewAI), as one of our speakers at the Tech.eu Summit London 2024. Join us on 16-17 May in London! 🚀 buff.ly/49WJckw #techeu #techeusummit24