
On the show
From 32 epsHosts
Recent guests
Recent episodes
Robot-Use Agents: Why General-Purpose Models May Win in Robotics
Sep 26, 2026
29m 49s
The State of Startups in 2026
Sep 18, 2026
36m 28s
8 Ways To Improve Your Outbound Sales
Sep 13, 2026
12m 41s
Open Models Change The Economics of AI
Sep 12, 2026
57m 15s
Paul Graham On Startups, Ambition, and Great Founders
Sep 5, 2026
21m 24s
Insights from recent episode analysis
Audience Interest
- entrepreneurship
- startup development
Podcast Focus
- founder stories
- building startups
Publishing Consistency
- 304 episodes
- active for 8 years
Platform Reach
- available on major platforms
- growing listener base
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
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Back-catalog monthly reach
Blended from 1 signal · back-catalog reach only (show is inactive).
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#6326K to 166K
- 🇮🇳India · Technology#214.6K to 29K
- 🇰🇷South Korea · Technology#113.4K to 21K
- 🇳🇬NG · Technology#91.2K to 7.6K
- 🇨🇦Canada · Technology#661.1K to 7.0K
- Per-Episode Audience
No new episodes in 90+ days
—🎙 Daily cadence·309 episodes·Last published 3w ago - Monthly Reach
Unique listeners across all episodes (30 days)
39K to 246K🇺🇸67%🇮🇳12%🇰🇷9%+7 more - Active Followers
Loyal subscribers who consistently listen
12K to 74K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Reviews
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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 | |
|---|---|---|---|---|---|---|---|---|---|
| 9/26/26 | Robot-Use Agents: Why General-Purpose Models May Win in Robotics | One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training.In this episode of Decoded, we're joined by the founders of Waddle Labs and RoboCurve, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. | 29m 49s | ||||||
| 9/18/26 | The State of Startups in 2026 | YC works with thousands of founders every year, which gives us an early look at how startups are changing. Right now, the shift is striking: startups are moving from bits to atoms, nearly one in five YC companies has a solo founder, and companies are reaching meaningful revenue faster than ever.In this episode of The Lightcone, Garry, Jared, Diana, and Harj dig into what’s driving these changes and what they mean for founders. They discuss how AI is making it possible for smaller teams to take on more ambitious problems, why experienced founders are having a resurgence, and why knowing what to build is becoming more important than simply knowing how to build it. | 36m 28s | ||||||
| 9/13/26 | 8 Ways To Improve Your Outbound Sales | The best outbound starts before you automate anything. Founders need to learn who actually has the problem, what gets their attention, and what makes them reply. YC Visiting Partner Christina Gilbert recommends doing at least your first 100 outreaches by hand so you can learn those things yourself.Drawing from her experience generating and closing millions of dollars through founder-led sales at OneSchema, Christina shares eight ways founders can improve their outbound, from targeting the right people and writing emails worth reading to following up, debugging low reply rates, and using customer language to sharpen your message. | 12m 41s | ||||||
| 9/12/26 | Open Models Change The Economics of AI | Ollama (YC W21) is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan a unique view into which AI models people are actually using and how that’s changing.Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year.In this episode of the Lightcone, Jeff joins us to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world. | 57m 15s | ||||||
| 9/5/26 | startupsAI+3 | Paul Graham | Y Combinator | Mountain View | startupsAI+3 | — | 21m 24s | ||
| 9/4/26 | electric aircraftregional air travel+3 | Anders Forslund | Heart Aerospace | LA | electric airplaneHeart Aerospace+5 | — | 14m 48s | ||
| 8/29/26 | enterprise softwarestartup growth+3 | Max Junestrand | Legora | — | LegoraMax Junestrand+5 | — | 59m 39s | ||
| 8/28/26 | designicons+4 | Susan Kare | MacintoshChicago font+2 | — | Susan KareMacintosh+6 | — | 51m 44s | ||
| 8/13/26 | roboticsreinforcement learning+3 | Chelsea Finn | Physical IntelligenceY Combinator | — | roboticsreinforcement learning+3 | — | 58m 17s | ||
| 8/11/26 | open sourceAI projects+4 | Peter Steinberger | OpenClawY Combinator | — | OpenClawAI+5 | — | 41m 52s | ||
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| 8/10/26 | startupstechnology+3 | Max Hodak | ScienceY Combinator | — | retinal implantstartups+3 | — | 57m 02s | ||
| 8/7/26 | AI designdesign tools+3 | Stephen Haney | PaperFigma | — | AIdesign+6 | — | 56m 01s | ||
| 8/6/26 | startupsartificial intelligence+3 | Garry Tan | Y Combinator | — | startupsGarry Tan+3 | — | 42m 07s | ||
| 8/5/26 | data centersspace technology+4 | Philip Johnston | StarcloudNvidia+1 | — | data centers in spaceStarcloud+5 | — | 36m 13s | ||
| 8/4/26 | Waymo Co-CEO Dmitri Dolgov: "Move Fast And Ship Safely" | Waymo’s first autonomous demo took eighteen months. The product took fifteen years. Today, the Waymo Driver runs 500,000 trips a week — four million fully autonomous miles across fifteen cities, with 17 times fewer serious-injury crashes than human drivers.At Startup School 2026, Waymo co-CEO Dmitri Dolgov shares the seven lessons behind that journey, from bridging the gap between a demo and a real product to building systems that can safely operate in the physical world.Transcript: https://www.ycrootaccess.com/p/dmitri-dolgov-seven-lessons-from | 49m 24s | ||||||
| 8/3/26 | Patrick Collison: "What If You Succeed?" | In 2009, Patrick and John Collison went to Startup School in Berkeley, got sushi in Potrero Hill afterward, and decided on the walk home to start Stripe. The reasoning, as Patrick remembers it, was that “we might as well because it probably won't be that hard.”It took two years to launch.Seventeen years later, at Startup School 2026, he talks with YC's Harj Taggar about dropping out of MIT twice, why founders should ask what happens if they succeed, and what Stripe's own data says about the best time to start a company. | 30m 59s | ||||||
| 8/1/26 | Jeff Dean: The 1% Rule for Building in AI | In 2001, Jeff Dean and Sanjay Ghemawat did the math and realized Google’s entire search index would fit in RAM — then shipped it in a few days, and search got fast. In 2013, another napkin calculation showed that three minutes of daily speech recognition per user would require doubling Google’s server fleet. That one became the TPU. At Startup School 2026, Google’s Chief Scientist talks with YC’s Diana Hu through the thought experiments behind both, why inference hardware is the next specialization, and where two or three people in a room can still win.Transcript: https://www.ycrootaccess.com/p/jeff-dean-the-1-rule-for-building | 57m 06s | ||||||
| 7/31/26 | Alexandr Wang: “This is a Once-in-a-Civilization Opportunity” | Alexandr Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise. At Startup School 2026, the Scale AI (YC S16) founder — now leading Meta's Superintelligence Labs — talks with Garry Tan about rebuilding a frontier lab from scratch, why talent density compounds, and how to spot the exponential worth betting your twenties on. | 32m 09s | ||||||
| 7/29/26 | Blake Scholl: Breaking the Supersonic Ban | In 1969, we landed on the moon and flew Concorde. Half a century later, we could do neither.Blake Scholl founded Boom Supersonic (YC W16), the startup building America’s first supersonic airliner, to change that. At Startup School 2026, he shares how a cardboard mockup with Office Depot seats became XB-1, the first independently developed jet to break the sound barrier, and why founders have to build for both the worst day and the best day.He also answers founder questions about teaching yourself hard things, breaking into hardware without the right resume, and finding work-life harmony while building something ambitious. | 50m 01s | ||||||
| 7/28/26 | Sam Altman: "Never a Better Time to Do a Startup" | In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, he closed Startup School 2026 in conversation with YC's Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. | 39m 00s | ||||||
| 7/28/26 | Boris Cherny: Building Claude Code | Fresh off the launch of Opus 5, Claude Code creator Boris Cherny joins Diana Hu at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating. | 36m 13s | ||||||
| 7/27/26 | Jensen Huang: The Mindset That Built NVIDIA | NVIDIA started with the wrong technology, learned the right one from three textbooks bought at Fry’s, and went on to invent most of the major breakthroughs in modern computing.At Startup School 2026 at Chase Center, Garry Tan sits down with Founder and CEO Jensen Huang to talk about confronting reality, learning your way into new domains, and why resilience — getting through one day at a time — matters more than anything else. | 48m 59s | ||||||
| 7/17/26 | AI modelsworld models+4 | Francois Chaubard | Y CombinatorAI+2 | — | world modelsAI+5 | — | 1h 14m 26s | ||
| 7/9/26 | user understandingproduct insights+3 | — | Y Combinator | — | user metricsproduct health+3 | — | 13m 50s | ||
| 6/19/26 | AI in marketingdomain expertise+3 | Bryant Chou | WebflowPloy+5 | — | AIwebsite building+5 | — | 42m 42s | ||
| 6/17/26 | startup ideasfounder advice+3 | — | Y Combinator | — | startupidea generation+3 | — | 11m 30s | ||
| 6/10/26 | AIleadership+3 | Pedro Franceschi | Brex | — | AICEO+5 | — | 54m 06s | ||
| 6/3/26 | AI servicesbusiness models+4 | Charlie Warren | Y CombinatorAI+3 | — | AI-nativeservices companies+6 | — | 11m 21s | ||
| 5/27/26 | superintelligenceAI infrastructure+4 | Pete Koomen | G-BrainY Combinator | — | superintelligenceAI+4 | — | 46m 29s | ||
| 5/25/26 | company governanceshareholder primacy+3 | Eric Ries | The Lean StartupIncorruptible: Why Good Companies Go Bad And How Great Companies Stay Great | — | company governanceshareholder primacy+3 | — | 50m 04s | ||
| 5/13/26 | Silicon Valleystartup culture+3 | Paul Graham | Y CombinatorDropbox+2 | Silicon ValleyStockholm+1 | Silicon ValleyPaul Graham+6 | — | 21m 57s | ||
| 5/8/26 | AI coding agentstokenmaxxing+4 | — | Claude CodeOpenClaw+1 | — | AIsoftware development+5 | — | 41m 29s | ||
| 5/1/26 | AIrecursive reasoning+3 | Francois Chaubard | Y CombinatorARC Prize+2 | — | recursive AILLMs+3 | — | 37m 52s | ||
| 4/29/26 | AGIDeepMind+3 | Demis Hassabis | DeepMindGoogle DeepMind+2 | — | AGIDeepMind+5 | — | 40m 56s | ||
| 4/25/26 | no-code app developmentsoftware creation+3 | Amjad Masad | ReplitY Combinator+1 | — | Replitno-code+5 | — | 39m 11s | ||
| 4/24/26 | AI-native companiesproductivity+3 | Diana Hu | Y Combinator | — | AIcompany building+5 | — | 10m 27s | ||
| 4/22/26 | website redesigndesign tools+3 | Katie Dill | StripeY Combinator | — | Stripewebsite redesign+4 | — | 43m 36s | ||
| 4/16/26 | roboticsAI+4 | Quan Vuong | Physical IntelligenceY Combinator | — | roboticsfoundation model+3 | — | 49m 26s | ||
| 4/6/26 | biotechcancer detection+3 | David TsaoOguzhan Atay | BillionToOneY Combinator | America | BillionToOnecancer detection+3 | — | 20m 49s | ||
| 3/31/26 | fraud detectionAI agents+4 | Karine Mellata | VarianceGoFundMe+1 | — | fraud detectionAI+6 | — | 31m 23s | ||
| 3/27/26 | Artificial General IntelligenceDeep Learning+4 | François Chollet | Y CombinatorARC+3 | — | AGIdeep learning+8 | — | 57m 23s | ||
| 3/20/26 | chemical manufacturingbiotechnology+4 | Gaurab ChakrabartiSean Hunt | SolugenY Combinator | Houston | chemical industryenzymatic production+5 | — | 13m 07s | ||
| 3/16/26 | AI startupsoftware development+3 | Mukund JhaMadhav Jha | EmergentY Combinator | India | AIEmergent+6 | — | 39m 32s | ||
| 3/9/26 | brain-computer interfacestechnology+3 | Max Hodak | NeuralinkScience | — | brain-computer interfacesNeuralink+3 | — | 53m 20s | ||
Showing 44 of 309
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About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Key insights
What the show covers
- founder stories
- building startups
- scaling companies
- real-world lessons
Audience interests
- entrepreneurship
- startup development
- technology trends
- founder experiences
Platform reach
- available on major platforms
- growing listener base
- distributed across multiple channels
- no specific platforms detected
Publishing consistency
- 304 episodes
- active for 8 years
- weekly or more often
- consistent content delivery
Chart history for Y Combinator Startup Podcast
Peaked at #9 in NG, top 10 in 1 of 20 tracked markets, currently #9 in NG.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| NG | — | #9 | #9 | — |
| South Korea | — | #11 | #11 | — |
| India | — | #21 | #21 | — |
| IL | — | #27 | #27 | — |
| MY | — | #28 | #28 | — |
| United States | — | #63 | #63 | — |
| Canada | — | #66 | #66 | — |
| ID | — | #70 | #70 | — |
| Japan | — | #81 | #81 | — |
| TW | — | #87 | #87 | — |
| South Africa | — | #88 | #88 | — |
| HK | — | #89 | #89 | — |
| SG | — | #93 | #93 | — |
| KE | — | #96 | #96 | — |
| New Zealand | — | #99 | #99 | — |
| Australia | — | #103 | #103 | — |
| PH | — | #139 | #139 | — |
| VN | — | #140 | #140 | — |
| CL | — | #161 | #161 | — |
| TH | — | #166 | #166 | — |
Chart Positions
20 placements across 20 markets.
Chart Positions
20 placements across 20 markets.