Hadley Harris

The through-line

The single conviction that runs through everything Hadley Harris says is that venture capital is a service business and most of the industry has historically behaved as though it were the reverse. He formed that view as an operator running fundraising for two venture-backed companies between roughly 2006 and 2012, walking up and down Sand Hill Road and watching partners take phone calls mid-pitch, or, in one case, have a three course meal served to them while he presented [1][2][3]. His conclusion was less about outrage than about opportunity: "the bar is not that high. Like just be a a kind human and you're you're in the the 95th percentile right there, let alone actually do good work" [1]. Eniac Ventures was deliberately built as the anti-that, and he still frames ghosting founders as a basic failure of humanity, "like you're walking down the street, somebody says hi to you and you like ignore them" [1].

The second thread is a long-held instinct for where computing is going next, formed twice. Working at Samsung in Korea, he saw the iPhone announced and watched Koreans use 4G networks while the US was still on 2G, and concluded mobile would be the next evolution of computing, a thesis that became Eniac's original 100 percent focus [1][5]. He did the same thing with AI, having built a machine learning voice assistant years before Siri and having kept his attention there through the period when others were "poo pooing" it, which put the firm in position to invest when GPT-3 appeared and before ChatGPT made everyone an AI investor [1].

On treating founders as the people you serve

He believes venture firms are "really service providers to the founders we've worked with," and that the ones who understand this are more likely to succeed, because the best founders can choose their investors and will continue to be able to even in a downturn [3]. This is not positioning for him; it is the direct residue of being on the other side of the table, where pitching often "felt like I was doing them a favor to come pitch them" [3]. He remembers partners at the firm he worked with walking past a bank of admins without a word or a glance, and still finds it hard to believe: "what kind of human does that" [1]. The payoff of the alternative is concrete. When Brian and Andrew left Twitter to start Attentive, they chose to work with Eniac again rather than take the risk of new partners, having already had the experience once [6].

On where the empathy came from, and on ego

He traces his empathy to growing up with a younger brother with Down syndrome. Seeing how people treated those with intellectual disabilities during his own formative years was, in his words, "very very hurtful," and got him into a lot of fights [1]. It also shaped his work ethic: it was obvious every day that he had gifts and opportunities his brother would not have, which "instilled a certain kind of work ethic that's like I I need to do something with these gifts that I've been given" [1].

He is candid that this did not automatically translate into being a good teammate. In his twenties he was, by his own account, "self-centered and kind of egotistical" and came across as "very kind of sharp elbow to those around me," with a lack of trust in the people around him [3]. He credits the shift partly to maturing and working on more teams, and substantially to a rigorous daily meditation practice. His point about meditation is not the usual one about stress: "we're all kind of conditioned to kind of see everything from a very egotistical point of view," and the practice lowers that, so he naturally stops viewing things through the lens of self [3]. He says his wife and teammates have noticed the change [3].

Early-stage startups train the same muscle, in his view, in the way team sports do. From a handful of people up to the high teens, everyone is on one team, and because the work changes month to month you almost never have exactly the right people for the roles that exist, so people jump into unfamiliar jobs and learn. "That's the magic" [3]. People who are self-centered, want to do their own thing, or are already thinking about what they will do next simply should not be there, and it is the founder's job to handle that [3].

On what makes a founder worth backing

He wants founders with conviction: "I do like Founders to have a strong point of view you know they don't need to have strong point of view on everything but there's like one thing they believe preferably it's not something the world believes they have this kind of unique point of view" [2]. He describes seed investments as a spectrum running from a pure founder bet to a thesis bet, and most of his own sit at the founder end [2][4]. Attentive was the extreme case: he and his partners had backed Brian and Andrew at TapCommerce, which sold for about $100 million in two years and produced real liquidity for a very small fund, and had watched how fast they operated and iterated, so when they left Twitter he wanted to be first in line. The initial idea was different from what Attentive became, and it did not much matter, because "it was really all about them" [2]. Two other recent bets illustrate the range: one on a founder who had run a business to a multi-billion dollar exit over seven years, made before a line of code existed, and one on a first-time founder from Facebook and Google, which he notes is unusual for him, backed because of a genuinely unique insight into a crowded market, with the explicit understanding that this founder would need far more help [4].

He is deliberate about not letting past wins narrow the aperture. Every investment has to be capable of returning the fund, because most startups fail and venture is a hits business, so the bar stays high, but plenty of great companies come from people early in their careers, and the harder work is identifying those [2]. On the personality question, he has had better luck with founders who are not seeking personal limelight, naming Attentive's and Alloy's founders as selfless examples, while allowing that exceptional startups produce exceptions and there is no single right answer [3]. He also applies an ethical filter: he has "never been a believer that um technology will just automatically be positive," since almost any technology depends on how it is applied. Eniac is not an impact fund, but it has never invested in a company he thought was bad for the world. Since it is very hard to see how technologies and markets play out, "what you can do is bet on people that are trying to change the world in a positive way and are you know not evil" [4].

The clearest tell between first-time and repeat founders is honesty about uncertainty. Second-time founders are far more transparent about what they know and do not know, and when asked what an industry looks like in five or seven years will say it is hard to tell, offer a hypothesis, and name the signals they are watching. First-time founders often believe they need all the answers. "That's not how the Future Works the future is very hard to predict," and what matters is having one unique point of view you are right about and reacting well to a changing environment [2].

On how founders should handle the fundraising process

His most repeated warning is about misreading investor interest: VCs "are incentivized to act super interested until the millisecond they decide to pass" [2]. The most common mistake founders make is overestimating conversion rates. A VC meets hundreds of companies every couple of months and invests in one, often zero, so a meeting the founder scores as fifty-fifty is closer to three percent, and that overconfidence causes them to talk to fewer firms than they should. Helping portfolio founders raise follow-on rounds is part of his job, and this is the point he hammers constantly [2].

His second rule is to stay ready before you engage. Founders fall into processes when a VC shows interest, and he would rather they "keep VC's a little bit arms length until you're totally ready" [2]. He comes down against casual coffee chats when not raising, because more often than not you do not have your act together and do not put your best foot forward. Focus on building the business, then package the story, which should be aligned with what you are building but is a different artifact, and practice with inside investors or friends first [2]. Beyond that, know your customer and your market as thoroughly as possible [2].

On understanding the product before the business

His engineering background does not, he thinks, help much in assessing a CTO's technical depth. He has not pushed code to production in about sixteen years and calls granular evaluation of a modern CTO "above my pay grade," though he vibes well with technical founders, which helps in competitive deals [2]. Where it does matter is sequencing. He takes what he believes is the opposite approach to most investors: start with the product at a systems level, how it works, where the data comes from, which stakeholders it touches, and only move to the business once that is genuinely understood. Most VCs decide whether the business is worthwhile first and get to the mechanics a meeting or two later. His view is that a business-first approach leaves blind spots, because without seeing how customers, partners and data providers interact with the product you only have a surface-level understanding of the value being created [2]. That orientation was baked into the firm from the start: Eniac's partners are all engineers, they differentiate on being product focused, and a team of business people outsourcing their technology is not a fit [5].

On AI, from voice assistants to abundance

He was working on AI before it was a word anyone wanted to use. At Vingo, an MIT spinout, the team built its own speech recognition and what they called a decision engine, and although the technologists called it AI internally, they never said so publicly because "AI was like this dirty word that people had like tried before and it never worked," so they used the term virtual assistant, which is what Siri later called itself [1]. The system was genuinely machine learning, adapting its models to each user after about three utterances, at a time when almost nobody used the term, and it reached roughly 14 million active users. He thinks it did things Siri could not, and it convinced him that for hands-free use cases this was already the best way to do something and would only broaden [1]. The technology was folded into Siri after the acquisition [2].

That continuity explains Eniac's positioning through the generative shift. He describes a real magic moment when GPT-3 arrived, before ChatGPT, when new capabilities were visible but most investors were not paying attention, which let the firm make early bets that he does not believe it would have been positioned for without having spent years watching the space [1]. On AGI, he resists a single definition and notes that the goalposts keep moving, a calculator once looked like AI and the Turing test is now passed easily. His working formulation: when AI can do most things better than a human in a given area, that is a form of AGI, and doing it across all human capabilities is general AGI [1]. He calls himself a maximalist and expects to "go fly through AGI" within roughly the next ten years, while acknowledging serious people who say fifty [1]. His main conceptual objection is anthropomorphism: AI is its own thing, constructed with some similarity to a brain but not bound by human intelligence, and it will exceed us in areas we have not yet conceived of [1]. He is a positive person about the outcome, expecting "abundance like we've never seen before" alongside real risks and bumps comparable to fake news on the internet, requiring vigilance [1]. That leads him to a policy view: there will not be enough work for everyone, physical tasks may take longer to automate, but eventually people should be able to live a basic life without working, which means some form of UBI, provided the political and social systems distribute it rather than sectioning it off in a small part of society [1].

On building a firm rather than joining one

He did not learn what venture capital was until around thirty. At Wharton he had heard of it and dismissed it as another flavor of finance, and it was his eventual co-founder Vic, working as an associate at RRE after business school, who made it sound compelling [1][4]. The break came through an investor at CRV who told him the firm did not hire junior people, then called out of the blue because of his electromechanical engineering background, brought him to Boston, and introduced him to the founders of a seed investment he had just made, which became his operating career [1]. He is emphatic about the debt: that person took a chance on him and gave him more advice over the years than anyone [1][4]. He is equally emphatic about a regret, calling it one of the biggest mistakes of his career that he did not leverage mentors, partly because he never wanted to bother people. He now enjoys it when young VCs seek him out, especially those from different backgrounds, because "it's a two-way street" [4].

The choice to found a firm rather than join one is what kept him from going back to operating. If he had joined a big multi-stage fund he probably would not still be doing this fourteen years later, but building a firm with fourteen employees, a brand and a long-term plan scratches the founder itch, and he sees his role as a hybrid between a founder and a VC. The distinction that matters, he thinks, is founding GP versus employee, more than seed versus later stage [2]. The cost of self-teaching was real: they tried a lot of things, most of which did not work, and in hindsight he would have wanted someone in the founding group with DNA from an established firm to short-circuit the mistakes. It took them a while to understand the value of ownership, and early on they thought they could "double your way to success" by stacking modest $60 million exits, which misreads a hits-driven business [2]. What they got right was the ethos and the focus. The original firm was 100 percent seed-stage mobile, split roughly evenly between B2B and consumer, with a lot of the B2B being picks and shovels for the mobile industry, writing half a million dollar checks into seed rounds of one to four million out of a $50 million third fund, with partners divided by expertise across consumer growth, product and UI/UX, B2B and enterprise, and venture law [5]. Deals were mostly US companies starting domestically with global ambition, with opportunistic international investments in Israel, London and Canada [5]. Fourteen years on the firm leads seed rounds and is investing out of its sixth fund [2]. His own operating specialty was consumer growth, taking products from release to ten million users [5]. He also had practical views on mobile mechanics: whether a product can grow virally depends on the product, asynchronous video texting spreads because you need your friends there while dating traditionally does not, though Hinge found a way to make network effects work by incentivising you to bring friends on so your reach for potential partners grows, and mobile user acquisition is genuinely unlike the old cookie-based web world in how you attribute where users come from [5]. For staying current, he reads mostly Twitter, following people talking about interesting things and going deeper with searches and podcasts on specific topics [4].

On talking to customers relentlessly

The habit he pushes hardest on founders came from watching Brian at Attentive talk to more than a hundred potential customers before building any product, back in 2014 when that was less common. What stuck was the framing: not selling to them, but extracting as much information as possible about their problems so you know what to build. "You just can't talk to enough customers" [2]. He sees the same instinct as the reason Attentive found its market, describing Brian's superpower as understanding what the market needs and crafting a product to fit it, which is how the company narrowed from an idea spanning internal workforce messaging and customer communication down to the part that clearly resonated [6]. He points to the result as the evidence: over 3,000 customers in under five years, customer growth of over 270 percent in a year, a $470 million Series E, less than $100 million burned in total, and 18.5 percent of customers' total online revenue driven through messaging [6].

Behind all of it is his respect for how hard operating actually is. Vingo looked from the outside like a smooth path, always raising at a higher valuation and exiting well, and the reality involved nearly running out of money several times, layoffs and politics. That experience is the source of an empathy he thinks would be hard to have otherwise, while acknowledging there are excellent VCs who never built anything [2].

Takeaways

• Venture firms are service providers to founders, and the differentiator is low: be a kind human and you are already in the 95th percentile, before you have done any good work [1][3].
• Founders systematically overestimate investor interest, because VCs act interested until the millisecond they pass; a meeting that feels fifty-fifty is closer to a 3 percent chance [2].
• Keep investors at arm's length until you are genuinely ready to raise, skip the casual coffee chats, and rehearse with inside investors or friends first [2].
• Evaluate a company product-first: understand at a systems level how it works, where the data comes from and which stakeholders it touches, before assessing the business [2].
• Most seed cheques sit on a spectrum between pure founder bet and thesis bet, and the strongest signal is a founder with one unique, non-consensus point of view plus honesty about what they cannot predict [2][4].
• Talk to a hundred customers before you build, and interrogate their problems rather than pitching them [2][6].
• Staying attentive to AI through the years when it was unfashionable is what put Eniac in position to invest when GPT-3 landed and before the rest of the market piled in [1].
• Founding a firm rather than joining one is what satisfies an operator's itch, but self-teaching venture cost them years of avoidable mistakes, including underrating ownership and believing you can compound modest exits into fund returns [2].