
Found in the Machine is a narrative podcast about the forgotten people, decisions, and accidents that quietly shaped the digital world.
If you've ever wondered who actually made the technology you use every day, and why you've never heard their name before, you'll feel at home here. This show is for the curious, not the credentialed. You don't need a technical background to follow along. You just... more
| Publishes | Twice monthly | Episodes | 19 | Founded | 6 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | HistoryTechnology | |||

Since the 1890s, we've been building machines that wait in our place, in the dark, for something to move. This is the story of how a thread across a trail became a sensor that can feel heat, and what we learn when we really look.
In this Episode
•... more
Found in the Margins is a series of mini bonus episodes that will be available to Patreon members every other week alternating with the main show. This first episode is being shared here for all Found in the Machine listeners.
Join the Patreon if y... more
In 1944 the Allies needed to know exactly what the water would do on a coast called "Position Z." So a deaf mathematician and six young women in a basement near Liverpool calculated the future.
In this episode
• Arthur Doodson: the deaf mathemati... more
This is the story of how we learned to fake the most natural thing in the world. What it cost us. And the strange places we still go, even now, to steal a little of the real thing back.
In this Episode
• Bernice Brown: the RAND statistician whose ... more
People also subscribe to these shows.





It’s the good stuff!
This episode on the woven core memory of the Apollo computers is really interesting and Daina does a great job of engaging narration.
Fantastic narrative! Never thought I’d be impressed with such stories without video. Absolutely brilliant.
I've been online since 1990 and so was present for a lot of what has become the modern-day Internet. This pod thus far has covered both history I knew and quite a few I didn't, all neatly wrapped into give-or-take 10 minutes. I enjoy it very much and hope it continues - there are so many stories yet to tell and I can't wait to hear them.
Key themes from listener reviews, highlighting what works and what could be improved about the show.










Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Found in the Machine presents vivid, narrative histories of computing, tracing how people, decisions, and accidents quietly shaped the digital world. Each episode stitches together archival research, evocative scenes, and human-centered storytelling to reveal the overlooked actors behind technological progress—from open standards and hardware breakthroughs to security rituals and everyday software culture. The show often centers on individuals whose contributions were underrecognized, offering listeners a textured view of how the modern digital landscape came to be. Its engaging, story-driven approach makes complex tech topics accessible and compelling for curious non-experts while still resonating with professionals who want context and nu... more
Rephonic provides a wide range of podcast stats for Found in the Machine. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Found in the Machine and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for Found in the Machine, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Found in the Machine, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Found in the Machine has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with Found in the Machine:
1. Noble Blood
2. Very Special Episodes
3. Aaron Mahnke's Cabinet of Curiosities
4. American Hysteria
5. Science Vs
Found in the Machine launched 6 months ago and published 19 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Found in the Machine from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Found in the Machine. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.