Dec 3, 2025 · 44m · y-combinator
How Amplitude Went From Skeptics to “All In” on AI · Y Combinator
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In this episode of Y Combinator's Lightcone Podcast, Amplitude Co-Founder and CEO Spencer Skates discusses how his enterprise analytics company transitioned from AI skepticism to an AI-first strategy, while sharing critical founder lessons on scaling, organizational culture, and B2B software evolution.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The partners hold 9.2% of the talking time here. How this is scored →
The partners as informed peer 4.1 Guest teaching 3.9 Guest disagreement 1.6 The partners pushing back 1.6
speaking balance: gold is the partners, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 26:42 Spencer calls Google the worst B2B company of all time
Spencer dismisses conventional enterprise respect for Google, bluntly labeling them institutionally too slow and conservative to effectively commercialize modern B2B software products.
Hardest push from the partners ▶ 23:30 Harj challenges Spencer's dismissal of AI visibility startupsHarj playfully pushes back against Spencer's tweet dismissing AI visibility startups, arguing from YC's perspective that greenfield startups have structural speed advantages over public incumbents.
Biggest teaching moment ▶ 10:22 Spencer contrasts SaaS user discovery with technology-first AI capabilitiesSpencer educates the hosts on why the classic SaaS customer feedback loop fails in AI product design, explaining that model jaggedness requires building around technology capabilities rather than user requests.
The partners hold their own ▶ 11:16 Harj highlights the inverted top-down adoption dynamic of AIHarj demonstrates deep technological domain expertise by contrasting AI's executive-led push with historical developer-led grassroots adoption waves, prompting an insightful explanation from Spencer.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The partners as informed peer | Guest teaching | Guest disagreement | The partners pushing back | Why |
|---|---|---|---|---|---|---|
| Lightcone Podcast Title Animation Sequence | 4 | 3 | 2 | 2 | Harj introduces the episode by bringing up his controversial tweet about grumpy legacy engineers refusing to adopt AI. Spencer validates Harj's observation while detailing why internal skepticism and executive buzzword pressure created frustration at Amplitude. | |
| The Turning Point: AI Coding Tools and Key Strategic Catalysts | 3 | 4 | 1 | 1 | Gary asks what caused Amplitude to shift its stance on AI. Spencer explains how coding tools like Cursor proved immediate developer leverage and led to leadership hires and acquisitions like Command AI. | |
| Internal Company Culture vs. External Investor Pressure | 4 | 3 | 1 | 1 | Harj inquires into Amplitude's internal company culture and what specifically flipped Spencer's mindset. Spencer describes how realizing a self-improving product loop was much closer than 10 years out motivated him to organize an intensive company-wide AI week. | |
| SaaS Product Building vs. AI Capability-Driven Development | 5 | 5 | 2 | 3 | Harj points out the paradoxical top-down nature of AI adoption compared to previous bottom-up developer trends. Spencer contrasts traditional SaaS customer-feedback loops with technology-first AI discovery, attributing broader hype to Sam Altman's generational salesmanship. | |
| Bottom-Up AI Innovation and Breakthrough Product Launches | 4 | 4 | 1 | 1 | The co-host brings up founder mode in enterprise transitions, and Spencer details how bottom-up employee hackathon projects unexpectedly doubled new signups. Spencer explains how executing this turnaround required executing two major departmental reorganizations. | |
| AI-Native Mindsets vs. Deterministic B2B SaaS Requirements | 5 | 5 | 2 | 2 | Harj and Gary probe whether generational differences separate pre-AI and post-AI engineering mindsets. Spencer argues it is a problem-solving mentality rather than age, while Gary and Spencer discuss why non-deterministic AI models struggle to fully replace core deterministic B2B workflows. | |
| Allocating Resources Between AI Bets and Core SaaS Revenue | 4 | 3 | 1 | 2 | Harj asks about balancing resources between existing revenue-generating SaaS features and speculative AI bets. Spencer explains that AI interfaces augment rather than replace core analytics, allowing team members to naturally self-select onto high-conviction AI projects. | |
| Debating AI Visibility Commoditization and Incumbent Leverage | 5 | 4 | 3 | 4 | Harj playfully challenges Spencer on his controversial tweet claiming AI visibility tools are merely features rather than venture-scale companies. Spencer defends his position by explaining that incumbent cash flows allow Amplitude to give visibility tools away for free as top-of-funnel lead magnets. | |
| Identifying Vulnerable Incumbents and Promising AI Opportunities | 4 | 4 | 3 | 1 | Harj asks Spencer to identify vulnerable incumbent sectors for modern founders starting today. Spencer bluntly critiques Google as the worst B2B company in tech history and highlights massive unserved demand in vertical agentic workflows and local tech support. | |
| Amplitude's Origin Story: From Voice Recognition Pivot to Analytics | 3 | 4 | 1 | 1 | Harj prompts Spencer to recount Amplitude's origin story from their early YC voice recognition startup Sonalight. Spencer reflects on shutting down Sonalight post-demo day to focus on deterministic analytics where clean distributed systems could beat messy probabilistic ML. | |
| Learning B2B Sales from Scratch and Seeking Mentorship | 4 | 4 | 1 | 1 | Gary asks Spencer how an MIT engineer mastered B2B sales from scratch. Spencer emphasizes that sales cannot be learned from books and recounts getting weekly feedback and reality checks from veteran sales coach Mitch Miranda. | |
| Anchoring on Mission Clarity and Overcoming Startup Pain | 4 | 4 | 2 | 1 | Gary asks how Spencer maintains focus without getting sidetracked during periods of intense difficulty. Spencer underscores the psychological necessity of deep intrinsic motivation, warning that founders who treat startups as casual experiments inevitably quit during the lowest troughs. | |
| The Hard Shift from Founder Mode to Scale-Up Executive | 5 | 4 | 2 | 2 | Gary and Spencer discuss the hard psychological transition from hands-on early founder to large enterprise executive. Spencer admits having to unlearn prejudices against corporate hierarchy and delegate operational details across an 800-person public organization. | |
| Growth, Late-Stage Playbooks, and Authentic Executive Presence | 3 | 3 | 1 | 1 | Gary wraps up the conversation by discussing late-stage founder playbooks. Spencer expresses gratitude for YC's educational resources while explaining his deliberate effort to maintain an authentic, unfiltered public voice as a public company CEO. |
Statements from this episode (23)
Skates: Startups have a massive advantage over incumbents in adopting AI
“It is hard as a larger company to reorient and rebuild your company to use AI well. And this is, I think to your point, the huge advantage that a lot of earlier companies that can build from the ground up in this way.”
Skates: AI model capabilities remain jagged across different tasks
“I think if you look at the capabilities of any of these models, It's like, they're very, very jagged. So there's some things they're exceptional about and there's some things that they're just absolutely terrible about.”
Skates: Amplitude is building a 'Cursor for analytics' product
“We're gonna go much, much bigger in December, January, and February where we are gonna be coming out with what we call the cursor for analytics, which I'm incredibly excited about, and I think will dramatically change how people use and leverage analytics”
Skates: It took Amplitude a full year to onboard its team
“It's still taken us a full year to get the team kind of fully on board and ramped and like believing and seeing and building.”
Skates: Self-improving software is arriving much sooner than 10 years out
“We've always had this vision at amplitude of a self-improving product where you have a product that dynamically responds to your user feedback. So it knows what features you like. It knows when you're getting frustrated and stuck. It knows how to change things…”
Skates: Amplitude hosted an internal 'AI Week' to train leaders
“I started working with James the founder, CEO of Command, as well as Wade our engineering leader to figure out how do we train the organization on AI, and then we came up with an AI week, and unfortunately for a bunch of reasons, we weren't able to actually do…”
Skates: SaaS is the best business model of all time
“SaaS, I mean, it's the best business model and the best product delivery system of all time.”
Skates: AI product building must be technology-first, not customer-driven
“With the capabilities of AI, because they're so jagged, you, it's a technology first understanding of what is possible. And so if you go to your customers and tell them and ask them what they want, like, they're not even going to be able to describe what's pos…”
Skates: OpenAI's Sam Altman is the best salesperson of this generation
“I think Sam Altman is the best salesperson of this generation by no bar none.”
Skates: Amplitude's AI Visibility launch doubled weekly free plan signups
“That product launch doubled new signups to Amplitude, which is wild.
You know, like, every week, it's like, we're getting twice as many
signups to our free plan as we did from before our AI visibility launch”
Skates: Amplitude is launching an 'Ask AI' chat interface in January
“We're going to be launching in January, which is we're going to launch a, what we're going to call ask AI, which is a global chat interface, very much like cursor, where you will be able to chat with yeah, chat with AI and ask it to pull certain charts for you…”
Skates: Amplitude reorganized its product team twice in one year for AI
“We've done two reorganizations in the engineering product and design organization since the start of this year. And so, you know, there were leaders and executives and different people who were very much kind of in the SAS modality, but were not on the bleedin…”
Skates: AI-native startups wrongly ignore a decade of SaaS domain expertise
“On the flip side, I think what a lot of these AI native teams are really missing is they haven't learned the product and the problem and why things are solved the way they're solved. And so like they try to create these new interfaces from scratch without draw…”
Skates: The hype around AI killing SaaS is way overblown
“This is why I think a lot of the hype in that, AI killing SAS is way overblown because particularly for a lot of business workflows, like very high guarantees on performance are fundamental to it. You know, if you put a record into your CRM, that stuff better …”
Skates: Basic AI visibility will rapidly commoditize into free lead generation
“I think the real business has to be downstream of AI visibility. It's a valuable, there's value in it, like, you know, just like there's value in, in the SEO world, but it's so easy to do. You know, we did it, you know, as I mentioned in, in, in probably more …”
Skates: Google is the worst B2B company of all time
“I think that Google is the worst B to B company of all time, and there's an incredible opportunity to compete with them.”
Skates: Vertical AI agents will outcompete generalized agent builders
“I think there's a lot of very generalized agent builders, and I think picking a particular problem and a particular buyer is gonna be a much more successful way of building a business.”
Skates: Multi-stakeholder products inherently require an active sales motion
“There are some products that you can adopt without selling and that like people just, you know, they have single player mode, you know, cursors, a great example. Slack's a great example. But there's some where you need to convince multiple people at the same t…”
Skates: The top filter for founders is persisting when quitting is rational
“One of the really clear takeaways from any of these journeys is there is a point that you get to a year, maybe two years in, where From a rational standpoint, you probably should quit but for whatever reason those successful ones don't, and so that is the numb…”
Skates: Most successful founder CEOs leave after a decade due to scale
“Even if you look at the successful founder CEOs, after about a decade, most of them leave. And in my mind, it's actually for this very reason, because being a large company executive is different.”
Skates: Being a large-company executive is much easier than being a founder
“It's much easier In my mind, I think, to be a large company executive, because you have all these resources, you have all this leverage, you actually work less hard in your product market fit”