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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇦🇺AU · Technology#1205K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.5K to 9K🎙 Daily cadence·21 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
5K to 30K🇦🇺100% - Active Followers
Loyal subscribers who consistently listen
2.8K to 17K
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On the show
Recent episodes
Season Two Wrap
May 5, 2026
40m 31s
Venture Investing With The VC Who Invested in Insta and Figma (with John Lilly)
Apr 28, 2026
44m 51s
Microsoft’s Rogue AI — What We Learned from Tay (with Derrick Connell)
Apr 21, 2026
46m 53s
You’re Not Searching the Web (How Google Search Really Works)
Apr 14, 2026
48m 37s
AI Is Already Better Than You Think with Ramez Naam
Apr 7, 2026
37m 57s
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 5/5/26 | ![]() Season Two Wrap | A season finale should feel like a recap, but ours turns into a snapshot of how fast tech is reshaping real work and daily life. Hugh’s back on the ground in Los Angeles in a new Paramount role, taking robotaxi rides like it’s normal, while Hannah steps into a Product Director job at Ocado tackling last mile logistics and the delivery experience. We talk honestly about what we’ve learned after 18 months of making Tech Overflow and why the “curious minds” approach works best when we keep it pr... | 40m 31s | ||||||
| 4/28/26 | ![]() Venture Investing With The VC Who Invested in Insta and Figma (with John Lilly) | Entrepreneurs get the glory, investors get the spreadsheets, and John Lilly says that’s exactly how it should be. John (former VC, now angel and board member, and newly involved with Gigascale Capital) joins us to demystify venture capital for curious builders: how funds are raised from limited partners, why returns follow a power law, and what investors actually do between writing a cheque and a company becoming real. Along the way, we unpack his simple working framework: see, win, decide, t... | 44m 51s | ||||||
| 4/21/26 | ![]() Microsoft’s Rogue AI — What We Learned from Tay (with Derrick Connell) | This week Hannah is joined by guest host Derrick Connell to discuss how Microsoft's Tay went wrong, how Satya Nadella reacted in the moment, and what Derrick learned about innovation. Derrick also shares stories from shifts in technology and discusses his new book Twenty One Summers. Derrick shipped a chatbot that survived for 18 hours as it went horribly wrong. It sounds like a punchline until you realise it helped rewrite how the industry thinks about AI safety. Hannah sits down with Derric... | 46m 53s | ||||||
| 4/14/26 | ![]() You’re Not Searching the Web (How Google Search Really Works) | Google Search feels like magic because it is solving an impossible problem on your behalf: you show up with a complex information need, type a couple of words, and expect a great answer almost instantly. We unpack what’s really happening in that split second, from the early days of cluttered 90s search engines to why Google’s clean interface, speed, and relevance changed everything. We walk through the core machinery that makes web search work: crawling (and why it has to be “polite” to webs... | 48m 37s | ||||||
| 4/7/26 | ![]() AI Is Already Better Than You Think with Ramez Naam | AI did not creep in quietly, it arrived like a tidal wave. We talk with Ramez Naam, computer scientist, science fiction author, futurist, and climate tech investor, to pin down what today’s large language models really are, why they’re the fastest adopted general technology in history, and why “impressive” is not the same thing as artificial general intelligence. Along the way, we challenge the idea that AGI is right around the corner, even as these tools already outperform any single human o... | 37m 57s | ||||||
| 3/31/26 | ![]() How Big Tech Really Works (From the Inside) | Big tech isn’t a buzzword anymore, it’s the scaffolding holding up the modern economy and, increasingly, modern politics. We sit down and map the real shape of power behind the Magnificent Seven: Apple, Microsoft, Amazon, Alphabet, Meta, NVIDIA and Tesla. We talk through what they do, why they dominate the S&P 500, and the part most people miss, where the revenue comes from versus where the profit actually lands. If you’ve ever wondered why Amazon can run on thin retail margins while AWS ... | 42m 48s | ||||||
| 3/24/26 | ![]() You’ve Already Lost Control of Your AI Data | We compare how we actually use ChatGPT (and Claude) every day and why most people treat LLMs more like a personal helper than a work automation tool. We dig into what happens to your data after you hit Enter, from memories and human review to cross-border storage and training settings. We cover several topics: • Our top real-world use cases for ChatGPT and why they are mostly non-work • How ChatGPT memory works and what it can infer about you • The "asking, doing, expressin... | 35m 25s | ||||||
| 3/17/26 | ![]() How Big Tech Makes Sure You Can't Put Your Phone Down | You pick up your phone to do one thing, and five minutes later you cannot even remember what that thing was. That is not just “bad discipline” or a modern character flaw. It is the result of deliberate product design, engagement metrics, and relentless experimentation that turns curiosity into habit. We walk through how big tech measures engagement in the real world, from daily active users (DAU) and monthly active users (MAU) to the DAU/MAU ratio and frequency metrics like 3D7 a... | 33m 52s | ||||||
| 3/10/26 | ![]() AI Personal Assistants Are Coming Faster Than You Think | Ever watched an idea go from a sentence to a working app before your coffee cools? We put that thrill to the test. First, we vibe code a meeting cost tracker live—complete with per-person salaries and a live ticker—then we hand a broad travel brief to an AI agent and let it work unsupervised. By the time we circle back, it’s assembled sourced itineraries for Florence, aligned to festivals and budgets, and laid out the tradeoffs with surprising polish. That side-by-side experience anchors a b... | 44m 35s | ||||||
| 3/3/26 | ![]() Is Alexa Really Listening? | Ever had an ad land so perfectly it felt like your phone must be listening? We open season two by pulling back the curtain on why targeting feels psychic without constant eavesdropping. Smart speakers like Alexa and Siri rely on wake words and short cloud trips to respond, but the real signals come from everyday behaviour: where we go, what we search, how we scroll, who we share with, and even the Wi‑Fi we share at home. We walk through the mechanics in plain English. Location is a powerhous... | 47m 49s | ||||||
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| 2/17/26 | ![]() Tech Overflow Series 2 Trailer | Season 2 of the Tech Overflow Podcast starts on March 3, 2026. Join Hannah Clayton-Langton and Hugh Williams as they explore and demystify tech for curious listeners. This season, there'll be even more episodes on AI, three incredible interviews, and deep dives into how tech is changing the industries we all care about. Whether you're looking to learn more about how tech really works, hear great stories from inside big tech, or hear from thought-leaders who are changing the world, the ... | 1m 04s | ||||||
| 2/3/26 | ![]() Start Here: The Best Stories from Season One | A single field mismatch bricked fleets of Windows machines. A simple gesture turned dating into a swipe. A major grocer is hacked and down for 45 days. A driverless car pulled up with no one inside. As we gear up for the launch of Season Two on March 3, Hannah shares her favourite stories from Season One. We went under the hood and explained tech in an accessible way for every curious listener. In this episode, we share what you've missed and our favourite parts for our loyal listeners. We s... | 23m 29s | ||||||
| 11/23/25 | ![]() Season One Wrap | Three months ago we set out to make complex tech feel simple for smart people. Today, we close Season 1 with a bonus episode that’s a candid debrief on what worked, what didn’t, and the practical concepts you told us made a difference at work and in everyday life. We answer listener questions and Hugh fails to answer Hannah’s trivia questions (in a throwback to Episode 1). We start with reflections on learning the craft of podcasting while defining our mission and chemistry. Favourite episod... | 31m 41s | ||||||
| 11/16/25 | ![]() Inside Waymo’s Robotaxis with Nick Pelly | A taxi pulls up with no one in the front seat. Would you get in? We invited Waymo director Nick Pelly to take us from that first uncanny moment to the engineering that makes a driverless ride feel calm, confident and, by the data, far safer than most humans behind the wheel. We walk through the full autonomy stack in plain English: how cameras, radar and LiDAR fuse into a single view of the world; how perception, prediction and planning work together to thread through double‑parked vans, nud... | 43m 13s | ||||||
| 11/9/25 | ![]() Hacking, Part #2: Pay 2.5 Bitcoin and We Will Unlock Your Computers | Ever joined a “Guest Wi‑Fi” that looked legit, rushed through an email on the way to the airport, or reused a password because it was easier? Those small shortcuts are exactly where hacks begin. We open the curtain on how attacks actually work and, more importantly, the simple habits that stop them. We break down malware in clear terms: old‑school viruses that ride dodgy attachments, worms that replicate on their own, and Trojans disguised as free software. Then we step into the street‑level... | 37m 22s | ||||||
| 11/2/25 | ![]() Hacking. Part #1: How A Retail Giant Fell to Ransomware | A fake contractor calls the help desk, a password gets reset, and suddenly a national retailer has hackers inside. We open the door on the human side of hacking—how believable stories and helpful habits become the first domino—then trace the technical steps that turn a small foothold into a system‑wide crisis. We walk through the anatomy of the Marks & Spencer breach: social engineering as the entry point, slow‑burn privilege escalation, and the moment attackers reached the Active Direct... | 30m 10s | ||||||
| 10/26/25 | ![]() AI, Without The Hype: ChatGPT and LLMs. Part #2 | Finally, a podcast that explains how AI, LLMs, and ChatGPT work without any hype, fluff, or hyperbole. This episode is aimed at smart people who aren’t in tech and just want to be able to understand the basics. Join host Hannah Clayton-Langton as she discusses the topic with former Google VP and OG AI expert, Hugh Williams. We start by separating AI, machine learning, and LLMs, then explain why generative systems are not search. Instead of retrieving pages, an LLM synthesises new text using p... | 39m 24s | ||||||
| 10/19/25 | ![]() AI, Without The Hype: Part #1 | What happens when a search engine is driven by a text file of hand-written rules? You get a Jaguar car ranking first for an iPod query on eBay, and you get the perfect setup for a practical tour of how AI actually creates value. We unpack the journey from brittle if-then logic to machine learning that learns relevance from real outcomes. In this episode, we break down AI, machine learning, and large language models (LLMs) in clear terms, showing how they fit together and where they differ. W... | 33m 41s | ||||||
| 10/12/25 | ![]() Inventing Tinder: How One Night of Coding Reshaped Dating | Tinder's #swiperight gesture changed how millions decide and revolutionised dating. Tinder didn’t just explode into the public consciousness, it was also the most successful dating product in history and one of the fastest companies to $100m in revenue. Hannah and Hugh sit down with Tinder co‑founder Jonathan Badeen to trace the unexpected path from a flashcards epiphany to a cultural verb, and why #swiperight wasn’t meant to be the defining feature until a college student sent him an e... | 36m 25s | ||||||
| 10/5/25 | ![]() When the Internet Breaks: Bugs and Outages | Catastrophic software failures can seem like acts of chaos, but behind every major tech outage lies a story of human decisions, technical constraints, and cascading consequences. The July 2024 CrowdStrike incident—which Hannah describes as "the single biggest outage in the history of computing"—offers a perfect case study into what happens when critical systems fail. Hannah and Hugh dive deep into how a seemingly minor error (a file with 21 fields when the software expected 20) managed to cr... | 50m 46s | ||||||
| 9/28/25 | ![]() Behind the Screen: How Mobile Apps Work and Why Companies Build Them | Ever wondered what's really happening behind the scenes when you tap that app icon on your phone? From the sensors tracking your every move to the complex business decisions determining which features you get access to, the world of mobile apps is fascinating. Hannah Clayton-Langton and Hugh Williams, former VP at Google and eBay, break down why companies invest millions in app development instead of just using mobile websites. The answer lies in the incredible capabilities of your smartphon... | 34m 45s | ||||||
| 9/21/25 | ![]() Product Management Demystified | Ever wondered what makes your favorite apps work so seamlessly—or why others feel frustratingly clunky? The secret often lies in the mysterious realm of product management. Join Hannah Clayton-Langton and Hugh Williams to learn more. Hugh Williams, former engineering vice president at Google and eBay, and a senior engineer at Microsoft, takes us behind the digital curtain to reveal how great technology products actually get built. With insider stories from his career, Hugh explains that effe... | 35m 12s | ||||||
| 9/14/25 | ![]() How Tech is Built: The Basics of Coding | Ever wondered what coding actually is but felt too intimidated to ask? You're not alone. In this beginner-friendly exploration of programming basics, we break down complex technical concepts into digestible, relatable pieces. Our Episode 1 pilot explores the world of coding fundamentals through a metaphor: baking a cake. Just as bakers follow recipes with specific steps, measurements, and repeated actions, programmers create instructions for computers to follow. We also dive into the w... | 29m 40s | ||||||
| 9/8/25 | ![]() Tech Overflow Series 1 Trailer | Tech Overflow is coming on Monday September 15 to wherever you get your favourite podcasts! In Series 1, co-hosts Hannah Clayton-Langton and Hugh Williams demystify technology for anyone who's interested in tech. They talk about coding, product management, building apps, what happens when a site goes down, all about AI and how it works, and have a few special guests on the show. The first episode is all about coding: what is it, what do software engineers do, and will they be replaced with AI... | 0m 49s | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.
























