Orbit - An Hg software leadership podcast

From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor Neil Lawrence brings a refreshingly grounded perspective to AI. Lawrence introduces his "atomic human" concept; arguing it's not our capabilities but our vulnerabilities and limitations that make us irreplaceable. Drawing on experiences watching his coding assistant try to claim authorship and building systems at Amazon, he illuminates why accountability requires skin in the game and why machines can never truly stand behind decisions the way humans must. His mechanical engineering background shines through in vivid analogies that make complex ideas tangible and even delightful. The conversation builds to a genuinely uplifting conclusion about the next generation. Lawrence dismisses the disempowering AGI narrative sold by tech incumbents protecting their turf, arguing instead that today's young people see the world as it is and are excited to shape it. His insistence that "people aren't stupid"—from public dialogues to business customers consistently asking for improvements in healthcare and education—makes the case for staying connected to customers and trusting the next generation to steer technology toward what we care about most. It's a perfect note to end the year on: pragmatic, human-centred, and genuinely hopeful.

Product Mind Principal Oji Udezue - veteran of Microsoft, Twitter, Atlassian, Calendly, and Typeform - offers an energising vision of product leadership in the AI era. Drawing from 25 years building products, Udezue reveals that it isn't something to fear but an opportunity for those willing to embrace what he calls "self-erasure": shedding old mental models to approach new technology with fresh eyes. His journey from Microsoft's competitive trenches to discovering that "permanent influence has nothing to do with convincing people I was smart" unlocks why curiosity and vulnerability now matter more than ever. Udezue introduces the "three speed problem": his framework showing that while engineering capacity approaches infinity over the next decade, the real leverage comes from accelerating product divination and go-to-market to their theoretical limits. With characteristic wisdom, he advocates for "healthy paranoia" about change while championing extreme experimentation, prototyping over PRDs, and designing with customers as core team members. His closing mantra: "I happen to the world; the world doesn't happen to me" captures the determined optimism required to build jewel-like software in an era of unlimited possibility.

In this illuminating conversation from the frontier of AI-native startups, William Fairbairn, founder of Zalos.ai and part of Y Combinator's class of 2025, reveals what it takes to build at Silicon Valley velocity. Just five weeks after launch, Zalos is already deployed with major enterprise customers, automating finance workflows through computer-use agents that execute tasks like humans—extracting contract terms, initiating billing, and reconciling cash. Fairbairn's insights into Y Combinator's evolved wisdom for the AI era, particularly "forward-deployed engineering", demonstrate how the startup playbook has been fundamentally rewritten. With funding bars rising to $2 million ARR in 12 months just to reach Series A, and "supernovas" scaling from $1 million to $100 million in 18 months, this postcard from the edge of software leadership captures the intensity and opportunity of building in an era where the rules change weekly.

In this fascinating conversation, Perplexity's Chief Business Officer Dmitry Shevelenko reveals how a company barely three years old is mounting the first credible challenge to Google's search dominance in two decades. Shevelenko shares the counterintuitive distribution strategy that led Perplexity to partner with mobile carriers and device manufacturers rather than chasing browser deals, explaining how creating mutual value with partners became their path to 22 million monthly active users. The discussion centres on execution velocity as Perplexity's primary competitive advantage, with Shevelenko openly admitting that six months from now he'll have a top priority he can't even imagine today. From eliminating internal presentations entirely to making hiring decisions "physically hurt," he paints a vivid picture of how Perplexity maintains startup intensity while competing against trillion-dollar tech giants, offering invaluable lessons for anyone navigating the AI transformation.

In this candid anniversary conversation, Hg's leadership team of Matthew Brockman and Nic Humphries reflects on 25 years of building one of Europe's most focused software investors. Humphries shares the challenge of convincing colleagues to abandon multiple sectors for pure software focus, while Brockman opens up about his leap of faith in 2010, leaving Apax Partners for an uncertain bet on Hg's vision and the turbulence of 2012 that eventually led to success. The conversation hones in on AI as the next major platform shift and Brockman's concept of the "last mile"—the deep understanding of customer workflows required to transform AI capability into practical business solutions. Their discussion reveals a firm that has spent 25 years accumulating the pattern recognition, operational capabilities, and entrepreneurial culture perfectly suited for an era where success depends less on investment judgement and more on building products that solve real workflow problems—making this milestone feel less like a celebration of the past and more like preparation for the defining challenge ahead.