Venture Signals
A virtual podcast and video interview series with the investors and operators shaping AI. Currently recording in San Francisco.
Short, honest interviews with investors and operators who have a real point of view on where AI is heading.
Each conversation explores where conviction is building, what feels overhyped versus durable, how strong founders stand out, and what the market may still be underestimating. Episodes are published on our YouTube channel. Sharp, conversational, and useful.
The channel is live.
Every Venture Signals conversation is published in full on YouTube. Subscribe to get each episode as it drops, plus clips from AI Insiders stages.
16 investors. 8 regions. One signal.
Global investor conversations across AI, venture, deep tech, consumer, healthcare, and emerging markets.
United States · India · United Kingdom · Turkey · Israel · Malaysia / APAC · Nordics · Japan
Liz Christo
Stage 2 Capital
Peter Micca
Caduceus Capital Partners
Kailash Nath
IdeaSpring Capital
Kevin Brockland
Indelible Ventures
Barış Özistek
Boğaziçi Ventures
Ashish Sarkar
1950.vc
Andrew Romans
7BC Venture Capital
Danny Cohen
Sticker VC
Salone Sehgal
Lumikai
Amber Illig
The Council Capital
June W Choi
Serval Ventures / PAC Funds
Paul Anthony Claxton
Digerati Investments
Miko Matsumura
gumi Cryptos Capital
Stine Molgaard
Alliance VC
James McDowall
Arcanum Capital
Ryan Else
Roadster Capital
Five recurring threads
Where Conviction Is Building
What investors and operators are actually betting on. Not panel talk. Where the checks are going.
Overhyped vs. Durable
Separating signal from noise. Which trends have staying power, and which are propped up by narrative alone.
Non-Obvious Trends
Applied and vertical AI opportunities hiding in plain sight. The spaces most people haven't looked closely at yet.
How Strong Founders Stand Out
What makes the difference at the earliest stages. Pattern recognition from people who see thousands of pitches a year.
What the Market Underestimates
Contrarian takes grounded in real experience. Ideas that feel too early until they're suddenly obvious.
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Read by AI operators across six verticals