Apr 4, 2024 · 1h 41m · lennys-podcast
Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO)
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HubSpot co-founder and CTO Dharmesh Shah shares his first-principles frameworks for building a $30 billion company, discussing contrarian SMB product strategies, zero-report executive autonomy, radical transparency, and engineering approaches to culture, comedy, and artificial intelligence.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Lenny holds 17.5% of the talking time here. How this is scored →
Lenny as informed peer 4.3 Guest teaching 6.0 Guest disagreement 2.2 Lenny pushing back 1.4
speaking balance: gold is Lenny, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 45:58 Dharmesh aggressively rejects anti-SMB advice
When Lenny mentions common investor advice steering founders away from SMBs due to churn and sales friction, Dharmesh forcefully rejects the premise with 'No, my advice is absolutely do it.'
Hardest push from Lenny ▶ 45:22 Lenny challenges SMB software viabilityLenny pushes back against Dharmesh's advocacy of SMB markets by pointing out that small businesses are hard to reach, slow adopters, and have low expansion potential.
Biggest teaching moment ▶ 1:21:30 Dharmesh reframes culture as an evolving productDharmesh educates Lenny and the audience on why preserving culture is a founder mistake, arguing that culture must be treated, tested, and refactored exactly like software.
Lenny holds their own ▶ 1:30:05 Lenny shares Airbnb core value evolutionLenny brings deep first-hand expertise from Airbnb's internal culture debates, detailing how leadership pruned values that failed to reflect organizational reality.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Lenny as informed peer | Guest teaching | Guest disagreement | Lenny pushing back | Why |
|---|---|---|---|---|---|---|
| Rapid-Fire Fact Checking Dharmesh Shah's Career | 5 | 3 | 1 | 2 | Lenny conducts thorough research, listing rapid-fire biographical trivia about Dharmesh's unique career and quirks. Dharmesh confirms almost everything while providing a minor correction on the sale price of chat.com. The dynamic is playful and collaborative. | |
| Deconstructing Public Speaking and Measuring Laughs Per Minute | 3 | 7 | 2 | 1 | Dharmesh educates Lenny on how he deconstructed high-stakes public speaking into an engineerable discipline using laughs per minute (LPM). Lenny listens closely as Dharmesh breaks down talent versus acquirable skills. Dharmesh explains custom software he built to measure audience laughter intervals. | |
| Tactical Comedy Mechanics and Delivery Rules | 4 | 6 | 1 | 1 | Lenny prompts Dharmesh for tactical comedic advice, and Dharmesh delivers clear, specific rules on comedic timing and context leverage. Dharmesh details placing punchline words strictly at the very end of sentences. Lenny actively tracks the specific target LPM benchmarks. | |
| The Philosophy of Soloware: Software Built for One | 5 | 5 | 2 | 1 | Dharmesh describes 'Soloware' and his firm rule against having direct reports throughout HubSpot's growth. Lenny connects this to Dharmesh's broader philosophy of leaning aggressively into strengths and shares his own deep-work schedule rules. Dharmesh highlights avoiding the administrative overhead of management while capturing scale upside. | |
| Demystifying IPOs and Democratizing Shareholder Value | 4 | 6 | 3 | 1 | Dharmesh challenges the conventional wisdom among startup founders who dread going public. He frames public markets as efficient mechanisms for objective valuation and democratizing wealth generation for early supporters. Lenny prompts for the executive mindset needed to stay motivated in large public firms. | |
| Radical Corporate Transparency and Designating All Employees Insiders | 3 | 6 | 3 | 1 | Dharmesh recounts an anecdote from HubSpot's IPO prep where he and Brian Halligan pushed back against banker norms to designate all employees as insiders. Lenny notes Dharmesh's pattern of contrarian organizational experiments. Dharmesh argues radical transparency builds genuine alignment. | |
| First Principles and High-Conviction, Low-Consensus Bets | 4 | 7 | 4 | 1 | Dharmesh delivers a critique of how the tech industry misuses the term 'first principles', distinguishing fundamental universal laws from company founding principles. He emphasizes taking high-conviction, low-consensus bets like committing exclusively to SMBs. Lenny listens attentively as Dharmesh deconstructs early organizational experiments like eliminating job titles. | |
| Organizational Simplicity: Titles, Salaries, and Seating Lotteries | 4 | 6 | 2 | 2 | Lenny asks specific questions regarding flat salary structures and early job titles at HubSpot. Dharmesh details their randomized seating lottery algorithm and how simple, binary rules prevented corporate politics. Lenny expresses amusement at Dharmesh's reliance on recursive algorithmic thinking. | |
| Fighting the Second Law of Thermodynamics and Complexity | 4 | 6 | 2 | 1 | Lenny brings up Dharmesh's concept of fighting entropy in company building. Dharmesh explains how companies move from survival to fighting stagnation and eventually battling creeping complexity. He argues that complexity is the ultimate quiet killer of scaling businesses. | |
| Operationalizing Simplicity Through Structural Guardrails | 4 | 6 | 2 | 2 | Lenny pushes Dharmesh on how to operationalize simplicity when business incentives constantly reward adding features. Dharmesh outlines their feature-removal trade-off rule and the hidden dimensional costs of multi-product architectures. He underscores that structural systems outperform cultural slogans. | |
| The Strategic Physics of SMB Software vs. Enterprise Reverse Gravity | 6 | 7 | 4 | 3 | Lenny challenges the viability of SMB software businesses citing investor consensus around high churn and low ACVs. Dharmesh firmly rejects the premise, explaining 'reverse gravity' and why SMB software offers superior structural advantages over enterprise or consumer. Dharmesh encourages founders to embrace the difficulty of SMBs to avoid crowded enterprise competition. | |
| Zigging vs. Zagging: Building an All-in-One Suite | 5 | 6 | 3 | 2 | Lenny asks for frameworks on when to zig against best-practice advice. Dharmesh explains why HubSpot deliberately avoided building best-of-breed point solutions in favor of an integrated all-in-one suite. He shares the heuristic that ranking in the top three for an isolated category meant they were over-investing. | |
| Sponsor Segment: LinkedIn Ads | 4 | 6 | 1 | 2 | Following an ad read, Lenny introduces Dharmesh's 'Flash Tags' system and questions why none of the tiers represent hard mandates. Dharmesh walks through the hierarchy from FYI to plea, highlighting how it preserves team autonomy while avoiding the founder megaphone effect. | |
| Systematic Decision-Making: Debate, Decide, Unite | 4 | 6 | 2 | 1 | Dharmesh contrasts HubSpot's 'Debate, Decide, Unite' framework with Amazon's 'Disagree and Commit'. He explains his decision-making approach of identifying variables and coefficients before assigning weights. Dharmesh highlights that the calories invested in deciding must scale proportionally to consequence. | |
| The 4P Framework for Evaluating Ideas | 5 | 6 | 2 | 2 | Dharmesh details his 4P framework: Potential, Probability, Passion/Proximity, and Prowess. Lenny provides an example from his portfolio company Zip, illustrating that passion often follows opportunity and momentum. Dharmesh validates the distinction, warning founders against premature disqualification of ideas. | |
| Culture as a Product: Origins of the Culture Code Deck | 4 | 8 | 2 | 1 | Dharmesh tells the origin story of the HubSpot Culture Code deck, framing culture fundamentally as a product built for employees. He explains why leaders should not view culture as something static to preserve, but rather an evolving codebase requiring bug fixes and quarterly NPS iterations. Lenny commends the insight as profound. | |
| Cultural Governance: Federal vs. State Law and Aspirational Values | 6 | 6 | 2 | 1 | Dharmesh introduces his federal versus state law mental model for corporate governance and culture. Lenny offers a direct parallel from his experience at Airbnb regarding aspirational core values. Dharmesh explains how openly labeling aspirational values turns them into self-fulfilling prophecies. | |
| The AI Paradigm Shift: Cognition at Scale and Natural Language Interfaces | 4 | 7 | 2 | 1 | Dharmesh compares the AI paradigm shift to the dawn of the internet, defining AI's core breakthrough as 'cognition at scale'. He uses the evolution of SQL to illustrate how natural language will eliminate UI translation friction. Dharmesh reflects on his early failed attempt with GrowthBot and why underlying model capabilities finally make the vision viable. | |
| Learning AI Through Problem-Solving and Defining Success | 3 | 5 | 1 | 1 | Lenny asks for guidance on how practitioners can practically build competency in AI. Dharmesh recommends anchoring learning around solving specific real-world problems in public. He closes by defining success as making the people who believed in you look brilliant. |
Statements from this episode (28)
Shah has had zero direct reports across HubSpot's 7,000-employee scale
“7000 plus employees, exactly zero direct reports from time t equals zero.”
Shah confirms buying chat.com domain for over $15 million
“It was actually 15 plus million dollars, but I had kind of stated eight figures, but yeah.”
Shah wrote custom software to measure audible audience laughter in rehearsals
“I will have the talks transcribed. I have custom software that I've written that will say, okay, here are the points at which the audience laughed. Like actually audibly laugh. That's the only, only way it counts.”
Shah: Popular TED Talks correlate strongly with high laughs per minute
“Like the most popular TED Talks, there's a high strong correlation between the most popular TED Talks and high LPMs.”
Shah: To get laughs, punchlines must be the final words before pausing
“When you're telling the story, whatever the funny bit is, those have to literally be the last words of that particular segment, right? So once you deliver it, Then you have to stop talking. And the reason you have to stop talking is the audience needs about a …”
Shah: Speakers should stack multiple punchlines per single story setup
“Have a story such that you can kind of spend the time setting up the story, but then have multiple funny bits, multiple punchlines, because you've already made the investment. I've said, 75 words in order to kind of set up this context. Say something funny. Th…”
Shah: 1.25 laughs per minute is top-decile for business speakers
“Anything in my mind for like most normal circumstances, even if you can get above like a one, a 1.2, two, five, you're in the top decile in terms of top generally given by, you know, non-professionals.”
Shah builds 'Soloware' applications designed exclusively for his own personal utility
“I have this notion of what I call Soloware and Soloware is exactly what it sounds like. It's software built for exactly one person. In my case, that one person is me. And so I've been doing this. Thing for like 30 years right now. I just build things that I wo…”
Early HubSpot banned meetings before 11 a.m. to match founder sleep schedules
“And so we made it just like from the early days of upspot in the early years, at least we're like no meetings before 11 a.m. Period. Like that's, that was it. And then we adjusted it I think maybe three or four years and we're like, all right, we can have meet…”
Shah: Founders overstate the downsides and misery of taking a company public
“I think too many founders you know, once they get to it, they are very apprehensive of going public and going through the IPO process and being a publicly traded company because they're, they think, I mean, that's at the beginning of the end. It's going to lik…”
Shah: $29B of HubSpot's $30B market cap was created in public markets
“In the subsequent years, we went from a billion dollars in market cap to thirty billion, which is roughly what it is now. That first billion of market cap creation, a very small number of people got to participate in. The rest of the twenty nine billion dollar…”
HubSpot designates all 7,000 employees as legal insiders to maintain financial transparency
“What we ended up doing literally the day we went public is we designated every single employee to be a designated insider. So that allowed us to maintain the transparency thing, because there was no rule that said you could only have five, six, 10, and it was …”
HubSpot committed to SMBs permanently rather than moving upmarket to enterprise
“So one of the early kind of high conviction decisions we made at HubSpot was that we were going to focus on SMB as our target market.”
HubSpot operated with zero job titles until it reached hundreds of employees
“One of the manifestations of that flat organization is we had no titles in the company. Nobody had a title.”
HubSpot ran a quarterly desk seating lottery across hundreds of employees
“Then we said, okay, we're not going to do it for every hire. We're going to do it every quarter. And that stood, by the way, for Hundreds of people, that mechanism still worked, right?”
Early HubSpot required removing an old feature for every new feature added
“We had a rule in the HubSpot product as the product grew in those early years, that every time you added what we thought of as a knob or dial called a feature, you had to take one out somewhere else.”
Shah: Expanding from one product to two adds dimensional, not incremental, complexity
“When you go from product one to two, You have added dimensional complexity to your business. What I mean by that, it's not an incremental increase. Like, oh, we went from one to two. It's like, now every decision you make has to be made through the lens of, no…”
Shah: At HubSpot's founding, Intuit was the only multi-billion dollar SMB software
“When HubSpot started SMB, it was literally like A hundred times harder to succeed at SMB, right? And we could not raise capital. Like, it was so hard because, I mean, the common argument was, like, there literally is exactly one company in the history of softw…”
Shah: 'Reverse gravity' inevitably pulls successful software companies upmarket into enterprise
“In software, there's what I call reverse gravity. Over time, the market will always pull you up, right? Because what ends up happening is that smart founders and smart management teams will look at the numbers and say, oh, well, as it turns out, our bigger cus…”
HubSpot launched an SEO, blogging, and analytics suite in its first year
“From year one, HubSpot decided to build an SEO tool, web analytics, blogging tool, content management, all of it.”
Shah: For all-in-one suites, ranking top three in any sub-category signals over-investment
“Are we in the top three in the market in that category? If the answer is yes, that means we invested too much in that category. We should not be in the top three because our value proposition is not that we want the top three blogging tools or one of the top t…”
Shah: HubSpot avoids top-down executive mandates, treating founder interventions as pleas
“We don't have mandates at HubSpot. I have thought about this so much, like to my core in my soul, I believe this is the thing we should be doing. I'm going to plea with you to please just do this. Still not a mandate by the way.”
Shah: Assess a startup idea's potential outcome magnitude before evaluating its probability
“The most common mistake people make is They think through the probability first without actually forcing themselves to think through the potential. And here's what happens, is that they apply a filter that says, oh, I only have a, like, one in 10 chance to pul…”
Shah: Most successful startup founders did not pursue a preexisting passion
“Most of the companies that exist today that are even successful ones with awesome founders, they didn't necessarily pursue their passion. It's like they kind of, maybe you're back for like in, in a particular problem or a market segment or something like that,…”
Shah: Company culture is a secondary product built specifically for employees
“Culture is a product. Period. And that every company builds two products. One is the product they build for their customers, and the other is a product they build for their team. That's what culture is, is the product you build for your team.”
Shah: Founders should continuously iterate on company culture rather than preserving it
“And this is the number one mistake I think I'm biased. I think founders make is that they say, oh, we have an awesome culture and my job is to preserve the culture. That is not the job because The needs of your customers change. The needs of the employees chan…”
Shah: Scaling company culture requires a federal versus state governance model
“The way I describe it right now, I'm just gonna put it out there and taking myself for not coming up with a better metaphor is that is like federal versus state law. All right. So there are federal laws right. We have here in the United States. That says, okay…”
Shah: Documenting aspirational company values makes them self-fulfilling over time
“What happened over the fullness of time, Is that those things that were aspirations became increasingly true by virtue of being in the deck, because as people join, it's like, oh, that's the thing we aspire to. So I'm going to pretend like that's actually the …”