Redis
company on 8 shows · 12 statements across 5 episodes · said 60 times in 26 episodes since 2013
Top Founders 26 
the MAD Podcast 15 
Latent Space 11 
20VC 3 
the Y Combinator Startup Podcast 1 
Startups For the Rest of Us 1 
A Product Market Fit Show 1 
Big Technology 1
Mentions by year, every show
tap a year for its mentions
Top Founders 26the MAD Podcast 15Latent Space 1120VC 3Startups For the Rest of Us 1Big Technology 1the Y Combinator Startup Podcast 1A Product Market Fit Show 1
2026 3 mentions in 2 episodes 2 per episode
2025 8 mentions in 7 episodes 1 per episode
- Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex
- One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- Cursor Head of Design Roasts Startup Websites · Y Combinator
- Is Generative AI a Cybersecurity Disaster Waiting to Happen? — With Yinon Costica
- Cline: The Collaborative AI Coder
- DeepWiki: The GitHub Encyclopedia
- The Rise and Fall of the Vector DB category: Jo Kristian Bergum (ex-Chief Scientist, Vespa)
- every mention in 2025, scene by scene →
2024 7 mentions in 5 episodes 1 per episode
- Dan Fougere, CRO @Datadog: Why Discounting is Dangerous and Contract Sizes are Misleading | E1229 · 20VC with Harry Stebbings
- Episode 735 | The 8 Levels of SaaS Platform Risk (A Rob Solo Adve...
- Production AI Engineering starts with Evals
- Building AGI with OpenAI's Structured Outputs API
- The Four Wars of the AI Stack - Dec 2023 Recap
- every mention in 2024, scene by scene →
2022 2 mentions in 1 episode
2021 1 mention in 1 episode
2019 28 mentions in 2 episodes 14 per episode
2015 2 mentions in 1 episode
2014 2 mentions in 2 episodes 1 per episode
2013 6 mentions in 4 episodes 2 per episode
every mention on every show, scene by scene, with the transcript →
12 statements about Redis, every show
Eifrem: Only 5 modern NoSQL database companies have crossed $100M ARR
“There's five database companies that have crossed a hundred million, right, of the, kind of the, let's call it the NoSQL crowd, or like modern operational database companies. It's, You know, Mongo, and then it's us and Redis. We're on that kind of Mongo path. …”
Bengal: Redis Labs rejects professional services model
“No, we do not do professional services. We are against this model. We think it's not good.”
Bengal: Redis Labs manages 8,500 enterprise clients with five DevOps engineers
“Well, we have today approximately 8500 enterprise clients and approximately a 100,000 free customers on our free tiers. And all that is managed by five DevOps.”
Redis Labs has 250 enterprise software customers out of 8,500 total
“So we have, you know, we have 8500 customers. Out of them, approximately 250 are software customers, and these are the big enterprise customers. The service customers are much smaller.”
Redis Labs grows revenue at approximately 60% year over year
“The company is growing approximately 60% year over year.”
Bengal: Redis Labs is two to two and a half years from an IPO
“We think that, you know, in order to do You know, a nice sizable IPO we need approximately two, two and a half years.”
Bengal: 60% to 70% of Redis Labs future hiring will be sales staff
“I would say, 60, 70% of the growth in headcount in years to come will be in sales staff.”
Bengal: Half of Redis Labs growth is expansion; accounts double in 24 months
“In any given quarter, half of our growth comes from expansions, and if you look at cohorts, et cetera, so, you know, typically, a customer doubles its expenditure in two years, in 24 months.”
Bengal: Redis Labs is way more capital efficient than MongoDB
“If you take a company like MongoDB, they raised approximately north of three hundred million before they went public. This means that we probably are way more efficient than MongoDB, and that is considered a very successful company.”
Rent the Runway's 2014 open source stack: MySQL, Mongo, Redis, and R
“Our entire transactional stuff is, is, is on MySQL. We use Mongo for a product catalog. We use Redis to serve recommendations. We use R to do the matrix factorization. Should I touch everything? I think I did. We use tons of Python scripts for parsing the revi…”
Mailchimp used Redis to maintain dossiers on billions of email addresses
“For our fast storage, we used Redis. We've got one dossier per email address of all the email addresses we've ever seen, so billions of unique addresses and a bunch of events about everything they've engaged with in the past.”