
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 16 chart positions in 16 markets.
By chart position
- 🇬🇧GB · Technology#1535K to 30K
- 🇺🇸US · Technology#1785K to 30K
- 🇮🇳IN · Technology#4630K to 100K
- 🇰🇷KR · Technology#8510K to 30K
- 🇫🇷FR · Technology#8710K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
38K to 141K🎙 Weekly cadence·28 episodes·Last published 2d ago - Monthly Reach
Unique listeners across all episodes (30 days)
76K to 281K🇮🇳36%🇬🇧11%🇺🇸11%+13 more - Active Followers
Loyal subscribers who consistently listen
23K to 84K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHost
Recent guests
Recent episodes
Building a data warehouse from scratch with Jacob Baskin
Jun 24, 2026
Unknown duration
The Network as a Program with Nate Foster
Jun 1, 2026
1h 34m 35s
Why Testing is Hard and How to Fix it with Will Wilson
Mar 17, 2026
1h 48m 26s
Why ML Needs a New Programming Language with Chris Lattner
Sep 3, 2025
1h 12m 57s
The Thermodynamics of Trading with Daniel Pontecorvo
Jul 25, 2025
58m 46s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/24/26 | ![]() Building a data warehouse from scratch with Jacob Baskin | In university Jacob Baskin studied at the intersection of computer science and economics, thinking about systems that incentivize people to express their true preferences. He put those ideas into practice at Google, where he worked on ad serving, before joining Jane Street’s database infrastructure team. In this episode, Ron and Jacob discuss Superstore, a distributed columnar database now central to Jane Street’s tech stack that Jacob began building practically the day he started. How do you support wide-ranging analytical queries while transactional writes stream in at the speed of trading systems? And what’s it like when your first design doc leads to an eight-figure hardware purchase? After building Superstore Jacob has since gone back to his roots, thinking about schemes for bidding on compute time as he works to optimize usage of the Hive, Jane Street’s massive compute cluster for research. | — | ||||||
| 6/1/26 | ![]() The Network as a Program with Nate Foster✨ | network engineeringsoftware-defined networks+5 | Nate Foster | EPFLJane Street+1 | — | network engineeringsoftware-defined networks+6 | — | 1h 34m 35s | |
| 3/17/26 | ![]() Why Testing is Hard and How to Fix it with Will Wilson✨ | software testinghypervisor+5 | Will Wilson | Antithesis | — | testingsoftware+6 | — | 1h 48m 26s | |
| 9/3/25 | ![]() Why ML Needs a New Programming Language with Chris Lattner✨ | machine learningprogramming languages+3 | Chris Lattner | LLVMSwift+2 | — | machine learningprogramming language+5 | — | 1h 12m 57s | |
| 7/25/25 | ![]() The Thermodynamics of Trading with Daniel Pontecorvo✨ | tradingengineering+4 | Daniel Pontecorvo | Jane StreetApollo | — | thermodynamicstrading+5 | — | 58m 46s | |
| 5/28/25 | ![]() Building Tools for Traders with Ian Henry✨ | trading toolssoftware development+3 | Ian Henry | Warby ParkerTrello+1 | — | traderssoftware+5 | — | 1h 19m 39s | |
| 3/12/25 | ![]() Finding Signal in the Noise with In Young Cho✨ | tradingmachine learning+3 | In Young Cho | Jane Street | — | trading internshipmachine learning+3 | — | 59m 45s | |
| 10/14/24 | ![]() The Uncertain Art of Accelerating ML Models with Sylvain Gugger✨ | machine learningneural networks+4 | Sylvain Gugger | PyTorchJane Street | — | machine learningneural networks+5 | — | 1h 06m 22s | |
| 10/7/24 | ![]() Solving Puzzles in Production with Liora Friedberg✨ | production engineeringsoftware engineering+3 | Liora Friedberg | Jane Street | — | production engineeringsoftware engineering+3 | — | 53m 50s | |
| 7/12/24 | ![]() From the Lab to the Trading Floor with Erin Murphy✨ | user-centered designUX design+3 | Erin Murphy | NASAJane Street+1 | — | UX designuser-centered design+3 | — | 1h 03m 35s | |
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| 11/28/23 | ![]() Performance Engineering on Hard Mode with Andrew Hunter✨ | performance engineeringmultithreaded architecture+5 | Andrew Hunter | tcmallocOCaml+2 | — | performance engineeringtrading systems+5 | — | 55m 34s | |
| 8/15/23 | ![]() A Poet's Guide to Product Management with Peter Bogart-Johnson✨ | product managementtrust building+3 | Peter Bogart-Johnson | Jane Street | — | product managementtrust+5 | — | 1h 02m 17s | |
| 5/18/23 | ![]() The Future of Programming with Richard Eisenberg | Richard Eisenberg is one of the core maintainers of Haskell. He recently joined Jane Street’s Tools and Compilers team, where he hacks on the OCaml compiler. He and Ron discuss the powerful language feature that got him into PL design in the first place—dependent types—and its role in a world where AIs can (somewhat) competently write your code for you. They also discuss the differences between Haskell and OCaml; the perils of trying to make a language that works for everybody; and how best a company like Jane Street can collaborate with the open source community. | — | ||||||
| 9/12/22 | ![]() Swapping the Engine Out of a Moving Race Car with Ella Ehrlich | Ella Ehrlich has been a developer at Jane Street for close to a decade. During much of that time, she’s worked on Gord, one of Jane Street’s oldest and most critical systems, which is responsible for normalizing and distributing the firm’s trading data. Ella and Ron talk about how to grow and modernize a legacy system without compromising uptime, why game developers are the “musicians of software,” and some of the work Jane Street has done to try to hire a more diverse set of software engineers. | — | ||||||
| 4/20/22 | ![]() State Machine Replication, and Why You Should Care with Doug Patti | Doug Patti is a developer in Jane Street’s Client-Facing Tech team, where he works on a system called Concord that undergirds Jane Street’s client offerings. In this episode, Doug and Ron discuss how Concord, which has state-machine replication as its core abstraction, helps Jane Street achieve the reliability, scalability, and speed that the client business demands. They’ll also discuss Doug’s involvement in building a successor system called Aria, which is designed to deliver those same benefits to a much wider audience. | — | ||||||
| 1/5/22 | ![]() Memory Management with Stephen Dolan | Stephen Dolan works on Jane Street’s Tools and Compilers team where he focuses on the OCaml compiler. In this episode, Stephen and Ron take a trip down memory lane, discussing how to manage computer memory efficiently and safely. They consider trade-offs between reference counting and garbage collection, the surprising gains achieved by prefetching, and how new language features like local allocation and unboxed types could give OCaml users more control over their memory. | — | ||||||
| 11/3/21 | ![]() What Is an Operating System? with Anil Madhavapeddy | Anil Madhavapeddy is an academic, author, engineer, entrepreneur, and OCaml aficionado. In this episode, Anil and Ron consider the evolving role of operating systems, security on the internet, and the pending arrival (at last!) of OCaml 5.0. They also discuss using Raspberry Pis to fight climate change; the programming inspiration found in British pubs and on Moroccan beaches; and the time Anil went to a party, got drunk, and woke up with a job working on the Mars Polar Lander. | — | ||||||
| 10/6/21 | ![]() Building a UI Framework with Ty Overby | Ty Overby is a programmer in Jane Street’s web platform group where he works on Bonsai, our OCaml library for building interactive browser-based UI. In this episode, Ty and Ron consider the functional approach to building user interfaces. They also discuss Ty’s programming roots in Neopets, what development features they crave on the web, the unfairly maligned CSS, and why Excel is “arguably the greatest programming language ever developed.” | — | ||||||
| 9/1/21 | ![]() Writing, Technically with James Somers | James Somers is Jane Street’s writer-in-residence, splitting his time between English and OCaml, and helping to push forward all sorts of efforts around knowledge-sharing at Jane Street. In this episode, James and Ron talk about the role of technical writing in an organization like Jane Street, and how engineering software relates to editing prose. | — | ||||||
| 8/24/21 | ![]() More Signals & Threads coming soon! | Signals & Threads is back, and we have a fun season of topics lined up, including: Building better abstractions for design and user interfaces, the role of writing in a technical organization, the approach that different languages take to memory management...and more. We hope you’ll join us. The first episode drops September 1st. | — | ||||||
| 11/6/20 | ![]() An inside look at Jane Street's tech internship with Jeanne Van Briesen, Matt Else, and Grace Zhang | In this week's episode, the season 1 finale, Ron speaks with Jeanne, Matt, and Grace, three former tech interns at Jane Street who have returned as full-timers. They talk about the experience of being an intern at Jane Street, the types of projects that interns work on, and how they've found the transition to full-time work. | — | ||||||
| 10/28/20 | ![]() Building a functional email server with Dominick LoBraico | Despite a steady trickle of newcomers, email still reigns supreme as the chief communication mechanism for the Information Age. At Jane Street, it’s just as critical as anywhere, but there’s one difference: the system at the heart of our email infrastructure is homegrown. This week, Ron talks to Dominick LoBraico, an engineer working on Jane Street’s technology infrastructure, about how and why we built Mailcore, an email server written and configured in OCaml. They delve into questions around how best to represent the configuration of a complex system, when you should build your own and when you shouldn’t, and the benefits of bringing a code-focused approach to solving systems problems. | — | ||||||
| 10/21/20 | ![]() Language design with Leo White | Equal parts science and art, programming language design is very much an unsolved problem. This week, Ron speaks with Leo White, from Jane Street's Tools & Compilers team, about cutting-edge language features, future work happening on OCaml, and Jane Street's relationship with the broader open-source community. The conversation covers everything from the paradox of language popularity, to advanced type system features like modular implicits and dependent types. Listen in, no programming languages PhD required! | — | ||||||
| 10/14/20 | ![]() Clock synchronization with Chris Perl | Clock synchronization, keeping all of the clocks on your network set to the “correct” time, sounds straightforward: our smartphones sure don’t seem to have trouble with it. Next, keep them all accurate to within 100 microseconds, and prove that you did -- now things start to get tricky. In this episode, Ron talks with Chris Perl, a systems engineer at Jane Street about the fundamental difficulty of solving this problem at scale and how we solved it. | — | ||||||
| 10/7/20 | ![]() Python, OCaml, and Machine Learning with Laurent Mazare | A conversation with Laurent Mazare about how your choice of programming language interacts with the kind of work you do, and in particular about the tradeoffs between Python and OCaml when doing machine learning and data analysis. Ron and Laurent discuss the tradeoffs between working in a text editor and a Jupyter Notebook, the importance of visualization and interactivity, how tools and practices vary between language ecosystems, and how language features like borrow-checking in Rust and ref-counting in Swift and Python can make machine learning easier. | — | ||||||
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Chart Positions
16 placements across 16 markets.
Chart Positions
16 placements across 16 markets.
