
Signals and Threads
by Jane Street
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From 13 epsHost
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Recent episodes
The Changing Craft of Programming with John Crepezzi
Oct 16, 2026
1h 48m 29s
Learning Goals and the Goals of Learning: Teaching in the Age of AI with Aaron Bauer
Sep 23, 2026
1h 36m 37s
Wrestling the world into rows with Eric Mannes
Sep 2, 2026
1h 25m 00s
Building a data warehouse from scratch with Jacob Baskin
Jun 24, 2026
1h 34m 29s
The Network as a Program with Nate Foster
Jun 1, 2026
1h 34m 35s
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Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Total monthly reach
Based on 1 signal.
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#11512K to 65K
- 🇧🇷Brazil · Technology#602.6K to 14K
- 🇬🇧United Kingdom · Technology#801.8K to 9.3K
- 🇨🇦Canada · Technology#781.2K to 6.3K
- 🇧🇪BE · Technology#261.1K to 6.0K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
28K to 146K🎙 Monthly cadence·31 episodes·Last published 3d ago - Monthly Reach
Unique listeners across all episodes (30 days)
31K to 162K🇺🇸44%🇧🇷9%🇬🇧6%+15 more - Active Followers
Loyal subscribers who consistently listen
12K to 65K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/16/26 | The Changing Craft of Programming with John Crepezzi | John Crepezzi has spent his career building tools for other programmers—at Tumblr, at Square, and then at GitHub, where he worked on the merge queue and the early versions of Codespaces. He came to Jane Street to build a code search engine for OCaml. A week into the job, ChatGPT came out, and he’s been working on AI tooling ever since. In this episode, Ron and John talk about how a three-day prototype grew into a firmwide platform for agentic coding, how AI can break the social contract around code review, and how to build tools that support both agent workflows and human understanding. | 1h 48m 29s | ||||||
| 9/23/26 | Learning Goals and the Goals of Learning: Teaching in the Age of AI with Aaron Bauer | Aaron Bauer is a software engineer and one of Jane Street's few developer educators—a role that splits his time between writing code and teaching other people how to write it. Before joining the firm, he taught computer science at Carleton College, including four straight terms online during the pandemic. In this episode, Ron and Aaron discuss what it takes to teach engineering inside a company with its own language, its own version control, and its own editors, and what changes when an LLM can do the exercise for you. Along the way, they consider the underrated power of a live lecture; why the text editor is still the software engineer's home base; using editor telemetry to find out how AI is actually changing developer workflows; and how Jane Street rebuilt its intern curriculum around testing, design, and code review now that producing the code is the easy part. | 1h 36m 37s | ||||||
| 9/2/26 | alternative datatrading strategies+3 | Eric Mannes | Jane Street | — | alternative datatrading+5 | — | 1h 25m 00s | ||
| 6/24/26 | data warehousedatabase infrastructure+3 | Jacob Baskin | SuperstoreHive+2 | — | data warehouseSuperstore+6 | — | 1h 34m 29s | ||
| 6/1/26 | network engineeringsoftware-defined networks+5 | Nate Foster | EPFLJane Street+1 | — | network engineeringsoftware-defined networks+6 | — | 1h 34m 35s | ||
| 3/17/26 | software testinghypervisor+5 | Will Wilson | Antithesis | — | testingsoftware+6 | — | 1h 48m 26s | ||
| 9/3/25 | machine learningprogramming languages+3 | Chris Lattner | LLVMSwift+2 | — | machine learningprogramming language+5 | — | 1h 12m 57s | ||
| 7/25/25 | tradingengineering+4 | Daniel Pontecorvo | Jane StreetApollo | — | thermodynamicstrading+5 | — | 58m 46s | ||
| 5/28/25 | trading toolssoftware development+3 | Ian Henry | Warby ParkerTrello+1 | — | traderssoftware+5 | — | 1h 19m 39s | ||
| 3/12/25 | tradingmachine learning+3 | In Young Cho | Jane Street | — | trading internshipmachine learning+3 | — | 59m 45s | ||
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| 10/14/24 | machine learningneural networks+4 | Sylvain Gugger | PyTorchJane Street | — | machine learningneural networks+5 | — | 1h 06m 22s | ||
| 10/7/24 | production engineeringsoftware engineering+3 | Liora Friedberg | Jane Street | — | production engineeringsoftware engineering+3 | — | 53m 50s | ||
| 7/12/24 | user-centered designUX design+3 | Erin Murphy | NASAJane Street+1 | — | UX designuser-centered design+3 | — | 1h 03m 35s | ||
| 11/28/23 | performance engineeringmultithreaded architecture+5 | Andrew Hunter | tcmallocOCaml+2 | — | performance engineeringtrading systems+5 | — | 55m 34s | ||
| 8/15/23 | 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. | 59m 37s | ||||||
| 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. | 1h 00m 28s | ||||||
| 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. | 1h 12m 09s | ||||||
| 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. | 1h 22m 34s | ||||||
| 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. | 1h 01m 11s | ||||||
| 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.” | 1h 00m 04s | ||||||
| 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. | 1h 00m 58s | ||||||
| 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. | 0m 37s | ||||||
| 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. | 1h 02m 52s | ||||||
| 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. | 1h 03m 36s | ||||||
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Chart history for Signals and Threads
Peaked at #19 in HK, currently #19 in HK.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| HK | — | #19 | #19 | — |
| BE | — | #26 | #26 | — |
| VN | — | #30 | #30 | — |
| Ireland | — | #39 | #39 | — |
| SG | — | #52 | #52 | — |
| PL | — | #56 | #56 | — |
| Brazil | — | #60 | #60 | — |
| Italy | — | #65 | #65 | — |
| IS | — | #65 | #65 | — |
| Netherlands | — | #68 | #68 | — |
| HU | — | #75 | #75 | — |
| CH | — | #76 | #76 | — |
| Canada | — | #78 | #78 | — |
| PT | — | #79 | #79 | — |
| United Kingdom | — | #80 | #80 | — |
| India | — | #87 | #87 | — |
| Germany | — | #88 | #88 | — |
| Mexico | — | #91 | #91 | — |
| South Africa | — | #95 | #95 | — |
| AT | — | #103 | #103 | — |
Chart Positions
35 placements across 35 markets.
Chart Positions
35 placements across 35 markets.