Tom Hulme
Managing Partner at GV (Google Ventures), leading the European team and having a successful angel investing track record.
Top 3 podcasts with Tom Hulme
Ranked by the Snipd community
159 snips
Apr 10, 2025 • 1h 25min
20VC: How to Fix the UK Tech Ecosystem | Why We Need to Flood the UK with Venture Capital | What the UK Can Learn From Sequoia, Stripe and Norway | Why Now is the Time to be Bullish on China & Lessons from Jensen Huang with Tom Hulme & Stan Boland
Tom Hulme, General Partner at GV, and Stan Boland, a serial entrepreneur known for co-founding Element 14 and Icera, delve into the pressing issues facing the UK tech ecosystem. They highlight the urgent need for increased venture capital and strategic public investments to retain talent. The pair discusses valuable lessons from Sequoia and Stripe, and why now is the time to be optimistic about China. Additionally, they explore the pitfalls of the current UK tax regime and propose innovative policies to boost tech growth.
35 snips
May 8, 2024 • 1h 17min
20VC: GV's Tom Hulme on Why Investing in Foundation Models is like Investing in "Power Stations", The Conventional Wisdom in VC that is BS & Lessons from a 24x Angel Track Record, 255x on Robinhood and Making Billions on Uber
Tom Hulme, Managing Partner at GV (Google Ventures), shares insights from his impressive background in angel investing. He discusses the importance of empathy and feedback in both personal and professional growth. Hulme challenges conventional VC wisdom, debating the idea that you should never sell your winners. He also examines the complexities of navigating investor relationships and the evolving venture capital landscape, especially in AI technologies. Lastly, he reflects on cultural debt in startups and the impacts of remote work on company culture.
30 snips
Apr 15, 2025 • 29min
Is Code Dead & The $1B Solo Startup Myth - 5 AI Realities with Tessl's Guy Podjarny
In a captivating discussion, Tom Hulme from Google Ventures joins Guy Podjarny to explore the shift from code-centric to spec-centric software development. They delve into how generative AI is reshaping workflows, making processes more efficient. The duo also tackles the evolving landscape of startups, emphasizing the importance of long-term vision and user loyalty. They highlight the challenges posed by technical debt and the transformative role of large language models, painting an intriguing picture of the future of tech.
