Peter Sellis on Terrorist-Org Team Design, Bad PMs, and Why Snap's Ads Business Stalled

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Overview

Peter Sellis was the first product manager at Snapchat, where they spent seven years, and later served as head of product at Discord. They had never done a podcast. On Lenny's Podcast they explained that they were now between roles and "no longer beholden to any corporate comms team," so they could "let it rip a little bit." The conversation asks what makes product organizations and product managers effective, and why some well-loved consumer products struggle to monetize. Sellis's positions are deliberately provocative. Collaboration is overrated. The median PM is probably bad. The best people should be pushed harder, not rescued. Growth almost always comes from the core product.

34 min read

Sellis also explained why they had avoided podcasts. Early on, when they saw someone appear on Lenny's show, their reaction was that the person was "probably about to get fired" and was promoting themselves for their next role, and they wondered why that person wasn't "just grinding." Sellis also said much of what they say at work, unfiltered, is "better suited for behind closed doors."

5:57

Designing teams like a terrorist organization

The most attention-grabbing idea is that Sellis designs teams "like a terrorist organization." They admitted the framing probably needs workshopping. When they described it to Discord's chief people officer, the reaction was "simultaneously horrified and intrigued." Setting violence aside, the idea rests on two beliefs.

The first is that collaboration has a hidden cost that almost no one internalizes. Sellis noted that you will rarely hear an executive tell people to stop collaborating, and treats that as a warning sign. Collaboration brings heavy coordination costs, and coordination means "you're moving as slow as the slowest node in the system." Sellis tries to aggressively account for that cost.

The second belief is about high-growth companies. There, product managers should be making decisions the founders themselves would have made six months, a year, or two years earlier. That requires trust to be distributed deep into the organization.

In Sellis's framing, a good terrorist organization has two things. It has an ideological culture in which everyone understands why they are doing what they do. It also has a very clear structure of who can be trusted with which decision. For Sellis, that means making the strategy almost a religion for the team. It also means making clear who the directly responsible individual is, who is single-threaded on something, who is "the throat to choke." Together, these let a team skip over-collaboration and still get the results it would have gotten by collaborating.

In practice, Sellis sees the head of product at a founder-led company as "a vessel for their vision." At both Snap and Discord they tried to absorb the founders' vision and turn it into short phrases that could be repeated as shortcuts for the whole strategy. Sellis said they didn't set out to build a terrorist organization. When they listed what they wanted in an organization, they noticed that some organizations already operated that way, "and they just so happen to be terrorist organizations." They joked that their reading list is now close to a banned-books list.

Lenny compared this to building a cult. Sellis agreed the two are close ("you can't spell culture without cult"). The distinction for Sellis is that cults center on the leader, while terrorist organizations center on a higher power or ideology. That is the element they wanted.

11:32

Managing Nikita Bier and handling "spiky" talent

Nikita Bier joined Sellis's team at Discord through an acquisition and stayed a little over a year, along with some strong engineers. Sellis called "manage" a very loose word here. In their view, you don't manage Nikita; you only try to control or direct them. Sellis described Nikita as "one of one" and compared them to Liam Neeson in Taken. Nikita has "a very special set of skills" that are hard to find and extremely useful in certain situations. When you need something outside those skills, such as raising the daughter or buying groceries, "all he knows how to do is just like kill everybody in the grocery store."

Sellis gave one example. At one point they couldn't get a one-on-one with Nikita, who reported to them. Nikita was then active on Intro, a paid-advice booking platform. Sellis threatened to book Nikita there just to get the meeting. Sellis said they ended up messaging Nikita on four different apps before getting a reply.

Sellis's broader point is that a product organization unable to absorb very spiky talent is in a failure state. Their management model is Phil Jackson, whom they called one of the most meaningful leaders of the last half century. Jackson won as a player and as a coach with two different franchises. He meshed talent that otherwise didn't get along and drew on both Eastern and Western philosophies. Sellis also compared creative product leaders to bands releasing albums. Sometimes a band you love puts out a dud. If you still believe in the artist, you stick with them. That is how Sellis thinks about the spikier PMs they have worked with.

15:23

Why the median PM is probably bad

Lenny recalled Nikita's line about being on a product management podcast as "someone that doesn't believe product management is real." He asked about Sellis's view that most PMs are bad and often net negative. Sellis joked that they are now among the "self-hating PMs" who made money as PMs. They added that some of the most senior PMs at Whatnot, whose CPO Tom Verrilli has made a similar argument on the show, came from Sellis's team at Snap.

Sellis offered what they called a mathematical explanation. If product skill is normally distributed across the population, the people who actually become PMs come from the right tail. Cut off the tail and you get something closer to a power-law distribution, where the median sits far below the average.

Two forces make this worse in product management, according to Sellis. First, especially during the zero-interest-rate era, PM became the most lucrative tech career open to non-technical people. The role has a subjective definition and pays roughly like a technical ladder, so people who get in have strong incentives to stay. Second, the best PMs develop skills that transfer well to executive roles and founding companies, so they leave. The strongest exit the system, and the weakest do everything they can to stay in. The distribution keeps tilting toward the weak end, and Sellis concluded that the median PM is "actually probably pretty bad."

Lenny suggested that people who dismiss PMs have often just never worked with a good one. Sellis agreed and called it a second-order effect of the same distribution. They think the profession is improving. When interest rates were low, opportunity costs looked low, and companies hired "that extra person." The real costs of that were never internalized. Sellis says they have focused on a system for evaluating a PM together with the place they are in at that time, so that the team is net positive.

Sellis also made a "midwit meme" or horseshoe observation. Great engineers rarely complain about PMs. They know how to bend PMs to their will, and they refuse to work with bad ones. Bad engineers don't complain either, because they can hide behind the PM's decisions. The complaining comes from the engineers in the middle.

Later, Lenny noted that Snap was known for not hiring PMs for a long time. Sellis described the baseline that follows from this: the product should be able to operate without any PM, so a PM must provide value over nobody.

21:02

Why Snap's ads business never reached its potential

Lenny asked whether Snap's young user base is the main reason the company didn't become as big as many expected. Sellis called Snap "a little bit of my life's work" and admitted to a chip on their shoulder, but tried to be objective. They consider ads "truly the magical kind of like product market fit of consumer monetization on the internet." They named three structural problems that held Snap's ads business back.

A young audience. Snap appealed to Gen Z at an outsized rate and now, in Sellis's view, to Gen Alpha as they graduate from products like Roblox. Sellis described "a suspicious discontinuity" in advertising CPMs between ages 17 and 18 and again between 18 and 21, in the US and abroad. For users under 17, rules on tracking, measurement, and targeting are very constraining, justifiably, to protect teenagers. That makes ROI much harder to prove. Sellis dismissed the argument that teenagers influence their parents' purchases: what matters is that the effect is hard to measure, and it is hard to build performance ad products around things that are hard to measure. Compared with Pinterest, Instagram, or Twitter, Snap's audience is "definitively" less valuable from this angle, in Sellis's view.

The app opens to the camera. Almost every non-search display ad product opens to the screen where the ads live, because that is where attention and impressions are. Snapchat opens to the camera. That makes it the fastest way to capture and share a moment. But nothing in the core flow of taking a snap and sending it to a friend offers a logical place for an ad. It is a visual creation product, not a feed or consumption product, and few ad formats exist for that. Sellis said Snap experimented heavily here and called camera monetization "probably one of my biggest failures": "I couldn't figure it out or I couldn't greenlight the teams that could figure it out."

It is a messaging app. Sellis sees no great ad products for messaging apps. People often cite certain Asian chat apps as counterexamples. Sellis said that when you look at dollars per unit of time spent, none of them monetize exceptionally well. Messaging apps are great utilities and valuable in a portfolio. But Snap was trying to build a multi-billion-dollar ads business quickly on a lower-value audience, in a tough format, on a utilitarian service.

Sellis still argued that Snap deserves more credit than it gets. By Sellis's account, with the caveat that their information may be dated, Snapchat is the number one messaging app among teens in almost every Western country, with 70–100% penetration under age 21. Sellis also described it as that group's default map app, used more than Apple or Google Maps, probably their most popular astrology app, and definitely their most common camera. Sellis compared this to "a Gen Z Berkshire Hathaway." They credited the original design team, not themselves. On ads, Sellis said Snap started after Twitter, Reddit, and Pinterest. It went public before all of them except Twitter, and in Sellis's recollection it reached roughly $4 billion in ad revenue faster than all of them. It did this while known mainly for disappearing photos, not as a global town hall or a place where people declare what they want to buy.

Lenny suggested that more PMs might have helped solve monetization. Sellis pointed instead to timing. Subscription math is brutal because "time is your enemy": revenue from a subscription takes a long time to accumulate, and in messaging utilities, as with Discord Nitro, people only see the value after using the product daily for a while. Sellis thinks Snapchat+ has been executed well. They wondered aloud what might have happened had it launched four years earlier. There might have been less pressure on ads to scale so quickly, and more freedom on the content side to compete with TikTok. They framed this as speculation: "I don't know."

30:16

Systems thinking, stripped of the buzzword

Lenny noted that "systems thinking" had come up in several recent episodes. Sellis teased the habit of buying "the book with the slinky on it" and declaring yourself a systems thinker. They also noted the "five whys" technique (attributed, they thought, to Toyota), which is just asking why five times. Sellis suspects that is what most people mean when they say systems thinking.

For Sellis, the most underrated part of systems thinking is the mathematical background needed to describe a system formally. That means mapping stocks and flows, knowing whether a distribution is bimodal or normal, and being able to communicate mathematically how the system behaves. Sellis would rather people study Jay Forrester's system dynamics from 1970s manufacturing than the popular primer. The practical version is to build a spreadsheet model of the system: what comes in, what goes out, what the levers are, and what distributions sit behind those levers. Even if the spreadsheet only ends up in a shared drive, Sellis finds the exercise clarifying.

32:30

Copying, moats, and taste as the art of saying no

Lenny mentioned Instagram launching its own paid tier, another in a long line of Instagram copying Snapchat. Sellis recalled that Instagram copied so aggressively early on that it copied some of Snap's worst features, ones that weren't working, apparently assuming everything Snap touched turned to gold. On Stories, though, Sellis said "you'd be hard-pressed to say anything but the version of it on Instagram is now much better." Sellis credited Instagram's designers and Adam Mosseri's taste with building something well architected from a human-computer interaction standpoint.

Evan Spiegel had told Lenny that software is no longer a moat, which is why Evan focuses on hardware, the ecosystem, and network effects. Sellis said Evan has been right about almost everything, sometimes just early. They cited avatars and on-device AR that used what was then called machine learning. Sellis thinks Evan is probably right here too. The problem, in Sellis's reading, is that Snap lacks the financial profile to support the hardware development Evan wants, and investors may not give Evan the room to be right. Sellis acknowledged bearing much of the responsibility for monetization. They described the situation as having "rejected artist vibes."

This led to taste. Sellis said: "I think I saw Evan personally say no to better ideas than I've seen almost any other consumer startup launch." Sellis's goal as a product leader for founders was to help make them the richest museum curators in the world. In that picture, whatever is in the product at any moment is a small slice of a much larger collection, chosen for its fit with the time and place. As an interview technique for assessing taste, Sellis suggests asking candidates about things they built but never shipped. This excludes things that tested badly. It means prototypes they held in their hands and decided the world, or the product, wasn't ready for. Restraint is "one of the few muscles of taste you can exercise," Sellis said. "If a museum has all of their collection on the walls, then the curator hasn't done anything."

Lenny connected this to AI, which tends to add rather than remove. Sellis agreed this will be hard for AI to replicate. As AI lowers the barrier to creating at the level of code, design, and media, and perhaps eventually physical things, it will let more people create. It will also increase pressure to produce things that deserve human attention. Lenny suggested that pushing back on what AI adds is a new PM skill. Sellis joked that every Lenny episode seems to end with the conclusion that the world needs more PMs.

40:18

OpenAI, ads, and trust as the auction currency

Sellis sides with Eric Seufert's view that ads are the internet's product-market fit. For mathematical reasons, they consider subscriptions overrated relative to ads in consumer products. They see OpenAI as "speedrunning" the ads infrastructure you would want. Sellis calls this "last mover advantage": the modern ads marketplace and auction is, in their view, essentially a solved problem, and most of the credit goes to Meta's work from roughly 2010 to 2020.

Sellis believes a modified Vickrey–Clarke–Groves (VCG) auction is the right mechanism, even in chat. Simplifying heavily, Sellis described Meta's innovation this way. The highest bidder doesn't simply win. The ad's organic value to the user is factored into the bid, so advertisers pay more to reach people who don't want to be reached or for whom the ad is less relevant. This also lets organic content and ads compete in one unified auction, with dollars as the common denominator.

In chat, Sellis suggests organic value could be replaced or augmented by trust. When someone asks which microphone to buy, the system must decide whether to give an objective answer or a set of answers, and how much advertisers should influence it. The degree of influence should reflect "how much trust I'm trading off." Sellis offered Amazon search as a cautionary case, while stressing that they didn't want to pick on anyone. Amazon's core value is selection and fast shipping, not threatened by ads. But when you search and scroll past many sponsored results before the first organic one, you start wondering whether your trust in the system is being eroded. Sellis thinks the key question for OpenAI is how it builds long-term trust maximization into its auction mechanism. Sellis believes trust is probably correlated with retention and advertiser value, if not causal. The other open question is format: what an ad looks like in chat, or in voice. Sellis called ad formats at OpenAI one of the coolest PM and design jobs right now, a "societal level" role.

Sellis was disappointed that OpenAI made its top tier ad-free right away. Setting aside work and coding, they think ads could be additive across chat, and cutting off your most valuable users so early was a letdown, though they understand why companies do it. Lenny joked that OpenAI should hire Sellis. Sellis, now a free agent, played along.

46:32

Ride your best people hard

Lenny then went through several counterintuitive lessons Sellis had shared before the recording. The first is spending time pushing your best people "into the ground" rather than improving average performers. Sellis acknowledged this runs against human nature: "If you see somebody drowning, you want to save them." Sellis does the opposite. If someone is strong and crushing it, "I'm just handing them more and more rope to hang themselves with," loading them with decisions until they start making bad ones. Sellis referenced the Peter Principle, joking that it may describe their own career.

Two things frame this approach. Sellis says they always defend their team in public and never criticize them in front of others. They also believe confidence is self-reinforcing: when things go well, people can do more. Sellis was candid about the downside. They said they don't have a good mechanism for helping people improve, so they essentially let struggling people fail on their own, which they admitted is probably frustrating and "somewhat sad" for those people. The caveat Sellis stressed is that being left alone isn't a sign of failure. Many people Sellis has hired, especially repeat collaborators, are left alone because Sellis trusts them to execute.

On collaboration, Sellis added one point to the earlier discussion. If your team principles are things nobody could disagree with, either they aren't good principles or they need to be challenged. "Collaboration" often falls into that category.

50:56

Growth lives in the core product

Sellis learned this lesson at both Snap and Discord. Network-effect businesses want to grow on their own, so the most effective lever is making the product better for people already using it, or wanting to use it, for its core purpose. Sellis argues almost every consumer product should optimize for daily active use, because days map onto real human rhythms in a way weeks and months usually don't. A monthly user is worth one-thirtieth of a daily user. Moving the DAU/MAU ratio a few points can outweigh acquiring many new monthly users and hoping they stick. DAU/MAU is simply a form of retention: given that you used it today, what is the probability you use it tomorrow?

At Snap, the lesson came from the 2018 redesign, which Sellis called "disastrous." They said it was the only time Snap's overall DAU flattened quarter over quarter. Afterward, the team focused on performance, especially on Android, making the app much faster for existing users. Sellis said this led to a growth renaissance that lasted several years.

At Discord, the lesson was more controversial. Midjourney was built on Discord, and outsiders assumed it was a huge moment for Discord. Sellis said you couldn't pick out Midjourney on a chart of Discord's usage over time. People use Discord to connect with friends before, during, and after playing games. In 2024, the team refocused on being the best place for friends to play intentional multiplayer games together. Conventional wisdom said Discord already had near-100% penetration among PC multiplayer gamers. But there were still moments when people nearly joined Discord voice and instead used in-game voice or FaceTime. Improving the product and its performance for that core group drove what Sellis described as some of the fastest growth, "if not the fastest," since Discord's pandemic surge, adding that they were sharing nothing that isn't public. The mechanism was moving users from, say, 10 active days out of 30 to 11, 12, 13, which Sellis calls "monster growth." They borrowed the "L7" measure (days active out of the last seven) from Meta.

Sellis also saw a positive externality at Discord. Gamers are, in their words, the most vocal, critical, detail-oriented, "high IQ" user base in the world. Publicly telling them to post bug threads on Reddit and promising to fix everything built strong goodwill. Sellis sees this as why Discord is "without peer" in its niche. Lenny summarized the lesson as "there's always money in the banana stand." Sellis said this is exactly the kind of phrase that works in a strategy document.

57:55

When to bet on something new, and SpaceX's willingness to burn the ships

Asked when to bet outside the core, Sellis offered two incremental approaches and one radical one. The first is to distill what is great about the product, such as Snap's camera or Discord's voice, and look for other cohorts who could use it. The second is to watch for users doing things you didn't expect and jumping through hoops to do them. At Discord, people were using the product to organize ever-larger communities rather than 20-person friend groups. They are "voting with their feet," and you expand outward in concentric circles.

The more innovative approach, which Sellis associates with Snap, is "backcasting." You go back to why the company exists and imagine the future unencumbered by the present. Today, the best way to share a moment is to pull out your phone and point the camera. That is constrained by current technology. If you ask what the best way would be to share a child's first steps, a concert, or something funny on the street, you arrive at ideas like glasses. Sellis thinks very few people can do this kind of blank-sheet thinking. Most, even creative ones, remix the present, or "go on an ayahuasca journey or travel to Japan" and come back claiming to have solved it.

Lenny said that at Airbnb nothing beyond the core idea has meaningfully changed the growth trajectory. Sellis added that the core-first approach keeps teams lean. The risk is Nassim Taleb's Thanksgiving turkey: things get better every day until something 10x better arrives and takes you to zero overnight. Sellis admitted not knowing how to guard against such black swans.

SpaceX, Sellis said, is a company that does guard against this. Their wife works there as an engineer, though Sellis stressed they have no inside information. Sellis called SpaceX "the greatest American company right now." As an example, they cited a recent announcement that SpaceX is sunsetting the Falcon 9. Sellis described the Falcon 9 as the greatest launch system ever, reusable and the most cost-effective per kilogram, something any country would give up its GDP for. As Sellis described it, SpaceX is saying that its future needs a heavier-lift vehicle, Starship, and that in a few years customers will no longer be able to buy rides on the Falcon 9. Sellis compared this to Cortés burning the ships. They said Clayton Christensen would be moved by a company willing to make its own best product irrelevant to avoid the innovator's dilemma. Sellis doesn't know what drives this beyond Elon Musk and the organization, but said everyone they talk to there is enthusiastic about it, even though as a public company it "kind of looks insane" on paper.

Lenny tied this back to mission-driven organizations. Sellis added that SpaceX and Tesla effectively publish their long-term plans. Tesla laid out a roadmap from the Roadster to the Model S to the Model 3, and it released its patents. Sellis aspires to "that level of swag": being so ambitious you can announce exactly what you'll do and invite anyone to try to do it better.

1:07:04

Ambition as a learnable muscle

Lenny noted that ambition has become a recurring theme on the show, since AI makes building easier and raises the bar. Sellis said the status quo persists for a reason. Most frameworks, whether local versus global optima or opportunity cost, are ways to build the courage to make tomorrow not look like today. That is unnatural for most people, and many systems in the world resist change. Sellis used a physics metaphor. Position and velocity aren't enough; you need acceleration, and to get it, an impulse. People who can repeatedly provide that push inside an organization, especially a large one, are rare in Sellis's view.

Lenny cited another guest's view that PMs increasingly exist to raise a team's ambition. Sellis agreed, with a caveat: it has to be done credibly. Sellis mocked the version where someone shows up and asks whether the team has considered going faster, noting they could do that themselves as a white male with gray hair and fancy degrees. They quipped that it's as useful as asking whether someone has considered punching themselves in the face. When Lenny said the skill is saying it without getting punched, Sellis said they had in fact been punched in the face a few times for running their mouth, but declined to share the story.

1:10:39

Long-term greedy and Core Product Value

Asked for recurring "Sellisisms," Sellis named two. The first is being "long-term greedy" in ads. Ads is cutthroat, revenue-goal-driven work that pushes teams toward short-term thinking. The math behind the phrase, as Sellis put it, is that advertising revenue tomorrow is causally related to the ROI you deliver advertisers today. The easiest way to raise ROI is to shrink the denominator, the cost, even though in modern auctions price is an output, not an input. So the business grows long term by delivering ROI now, even at the cost of short-term revenue, and benefits from compounding retention and growing budgets. Sellis said the phrase gave people ideological cover for long-term thinking at the moments it is hardest: when the company is public, missing numbers, or facing possible layoffs. "We're not a charity," they explained; the point is that advertisers will return bigger tomorrow.

The second is "Core Product Value" (CPV), a concept used at both Snap and Discord. It defines, conceptually and in metrics, why someone returns every day. At Snap it was "the fastest way to share a moment with the people you care about." Each part could be broken down. "Fast" meant load time and opening to the camera. "Share" meant sending quickly. "People you care about" meant best friends. Roadmap ideas with only a tenuous link to that phrase were deprioritized. At Discord it was "the best way to talk and hang out with your friends before, during, and after playing games." Both had internal metric definitions, which Sellis considers proprietary. These definitions made their way into growth work, and teams would ask whether a change moved CPV.

Sellis stressed that you need both halves. Metrics alone mean nothing to people, and a phrase alone doesn't get acted on by data scientists, PMs, and engineers. At Snap, Sellis personally delivered an onboarding presentation on CPV to every new hire, weekly and later every other week, for seven years. "That was part of the cult," they said. The hard part is not only the phrase. It is also finding metrics causally linked to retention, which Sellis joked makes data scientists dislike working with them.

1:16:38

The three oxymorons of a great PM

Sellis described great PMs as holding three pairs of opposing traits, "two wolves inside of the PM three times."

The first pair is confidence bordering on arrogance, balanced by serious humility. A strong PM is sure the team is on the right path and sure their own contribution will be recognized. That security lets them give credit precisely, to the designer whose last-second change mattered or the engineer who stayed up all night before a partner event. Sellis argued this comes from knowing PMs will get too much credit no matter what.

The second pair, which Sellis particularly tests for in interviews while admitting they aren't the best interviewer, is being highly organized and process-minded while being comfortable with ambiguity, "almost to the point of despising authority." That means having a checklist for everything while being willing to throw it out and redo it. Sellis pushed back on the trendy dismissal of process.

The third pair is long-term thinking combined with a day-to-day bias for action that is "borderline annoying." Such PMs know how the world should look in six months or two years and what building blocks are needed. They are patient, yet they set the pace for the whole company: "when they wake up in the morning, the company wakes up."

1:20:33

Contrarian corner: three levels of spice

Sellis offered three contrarian views, rated by spiciness. The mild one is that the most important career decision a PM makes is who their life partner is. Sellis believes the growth and knock-on effects are hard to quantify, and no amount of podcast listening matches having a partner who supports you and serves as an intellectual sounding board.

The medium one extends the museum curator idea. Sellis cares about art and has noticed, especially among wealthy people, that those with taste tend to stop one step before everyone else. They get passionate about a trend and let it go before it jumps the shark, or, in Lenny's word, "when it gets cringe." What someone has built and loved but never shipped is a test of that.

The spiciest is one Sellis said they might not be comfortable voicing depending on their employer. To build truly great consumer products for certain groups of users, certain inalienable traits of the PMs and designers matter and cannot be learned: "gender, race, ethnicity, socioeconomic background." Sellis clarified they don't mean a simple matching rule, such as needing young Black men to build for young Black men. Their claim is that upbringing and biology suit some people to certain products, because consumer products often address parts of Maslow's hierarchy of needs, a point Sellis said Nikita also makes. Sellis added that this isn't something you can hire for or judge by appearances, which is why it is "not necessarily even actionable," and chose to "leave it at that" without giving examples.

1:26:33

Lightning round: books, a game, Hex, and time

Sellis's book picks were How to Get Filthy Rich in Rising Asia, When Genius Failed (on the 1998 rise and fall of Long-Term Capital Management), and Alan Lightman's Einstein's Dreams, which Sellis gives to many consumer PMs. Sellis doesn't watch TV and watches fewer movies than before. Instead, they recommended last year's game of the year, Clair Obscur: Expedition 33, from an indie studio in France. They described its story, music, and sound as "Louvre level" beauty, a reminder that games are an art form society hasn't learned to appreciate.

On AI products, Sellis said much of the field still feels like throwing spaghetti at the wall. The product that changed their work most was Hex. It was the first time they immediately found themselves working differently. It was also one of the only multiplayer AI experiences that worked: Sellis and Discord co-founder Stan would query Hex in a shared thread during meetings and get data back as they talked. Latency is still an issue, but Sellis said it made them feel "super superhuman."

For a life motto, Sellis paraphrased a passage from John Steinbeck's East of Eden about time, noting they were butchering it: time has no signposts on which to drape duration, and "from nothing to nothing is no time at all." The people Sellis has been most drawn to seem to experience time differently. The takeaway Sellis draws is to get out, meet people, and experience things, because the best way to slow time is to do something with it. That is also why they try to be generous with their time.

Finally, Lenny asked about Sellis's early role at Ustream, listed on LinkedIn as product leader for the Shiba Inu puppy cam. Ustream was one of the first live-streaming companies, alongside Livestream and Justin.tv. Sellis called Ustream essentially a failure, because it should have focused on gaming, as Justin.tv did on its way to becoming Twitch. Sellis's early mentor there was Josh Elman, the company's top product adviser in 2009. Ustream's first PM, a high-school dropout named Matt, recently sold Moltbook, a social network for agents, to Meta. The puppy cam was a Logitech camera pointed at a litter of Shiba Inu puppies, streaming 24/7. People kept it running in the background while they worked, and Ustream received emails from viewers saying it had saved their lives. Sellis still sees live streaming as an uncracked category that is technically challenging and expensive, but credits it with teaching them a lot about consumers.

Asked how listeners could help, Sellis said they'd like to hear from anyone who found something resonant, fascinating, or wrong in the conversation, because they love disagreement.