How to Win When Software Is Not a Moat: Evan Spiegel on Distribution, Design Velocity, and Snap's "Crucible" Year

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Overview

In this conversation with Lenny Rachitsky, Snap co-founder and CEO Evan Spiegel addresses a question the host frames bluntly: why has almost no consumer social app launched and lasted in the 15 years since Snapchat appeared? Spiegel's answer centers on distribution rather than product quality. He also argues that Snap learned something 15 years ago that much of the industry is only now discovering with AI: software features are easy to copy, so a company has to build its defenses elsewhere. The discussion then covers how Snap organizes a very small, flat design team to keep inventing, how AI is changing the way that team works, why Spiegel calls this year a "crucible moment" for the company, and why the CEO thinks human acceptance, not technology, will set the pace of AI adoption.

30 min read
2:50

Why consumer social is so hard: distribution before product-market fit

Rachitsky opens with the historical record as he sees it. Since Snapchat launched, he says, the only comparable successes are TikTok, which he considers more of a media platform than a social one, and Threads, which he calls "cheating" because it sits on top of Instagram. Everyone wants to build a social app, and almost everyone fails.

Spiegel responds that both examples are really stories about solving distribution, which he considers one of the hardest problems in consumer technology today. Snapchat, he says, benefited from timing: mobile phones and the App Store were new, people were downloading lots of apps, and there was a real appetite to try new services. Instagram had launched only about a year earlier. That appetite no longer exists in the same way, and people download far fewer apps now.

In Spiegel's reading, TikTok solved distribution with money, an approach he describes as genuinely innovative. The company spent billions of dollars subsidizing both sides of its video marketplace, acquiring viewers and paying creators, to bootstrap its ecosystem. Threads solved it by drawing on Meta's existing distribution across its other products. His broader point is that consumer technology focuses heavily on whether a product is right and has product-market fit, while founders spend far too little time figuring out distribution. He sees that as a major differentiator.

Close friends, not network size

Spiegel then explains how Snapchat found its own path to distribution. At the time, the prevailing belief was that social networks had network effects that made the biggest networks the stickiest and most valuable, so nobody could beat them.

Snapchat's different insight, as Spiegel describes it, was that what matters is not connecting someone to the most people but to the right people: a best friend, a partner, a spouse, the handful of people they care about most. He argues that is where most of a network's value lies. Snapchat grew partly on the tailwind of the App Store and mobile distribution, but also through a growth model that was about close friends rather than friend count.

Distribution as the new challenge in the AI era

Rachitsky connects this to a thesis he has been developing. AI entered product development in the middle, with code autocomplete, and has since expanded to writing, reviewing, and testing code and helping generate ideas. He expects it to keep moving outward toward strategy and ideation, and he suspects distribution will become the new moat and the biggest challenge because AI won't help much there.

Spiegel agrees and adds one qualification: the most exciting periods in technology are when new platforms emerge, and much of the value tends to come from those shifts. Many of today's big consumer companies, such as Uber and Snapchat, were born on mobile. He expects next-generation form factors like glasses to create a new surface on which people can build generational consumer companies. Rachitsky remains more worried about startups, saying that so much launches every day that getting attention against incumbents feels very hard.

Being copied constantly, and learning that software is not a moat

Rachitsky lists Snap inventions he considers widely copied: Stories, early AR glasses (Spectacles, which preceded Meta's entry), swipe-based navigation, and hold-to-record video. Asked what the next thing to be copied will be, Spiegel points to Instagram Plus, which had just launched. Snap recently reached 25 million Snapchat+ subscribers and more than a $1 billion revenue run rate, which he suggests was probably enough to get Meta's attention. Rachitsky notes that the name, too, was copied.

Asked how it feels to be copied again and again, Spiegel says it is certainly better than making things nobody wants to copy. It does force Snap to be very deliberate about strategy. Reflecting on the last 15 years, he says Snap essentially learned back then that "software is not a moat," which he believes everyone is now discovering with AI. Because Snap's software features were so easily cloned, the company started looking for more durable advantages.

The first was ecosystems and platforms: relationships between creators and Snapchatters, and the augmented reality platform on which developers have built millions of lenses. Individual software features are easy to copy, he argues, but a full ecosystem or platform is very hard to replicate. The same logic shaped Snap's investment in hardware, where he says it is extremely difficult to copy a fully vertically integrated AR stack.

Rachitsky asks whether network effects, the classic moat, are therefore insufficient. Spiegel says they are an important piece of the puzzle but not enough against software cloning. Snap holds many patents and tried to protect its ideas, but in software it is easy for others to copy or iterate on them. What Snap has found hard to copy is a platform that supports relationships among creators, developers, and the community.

12:44

Why keep investing in hardware

Rachitsky notes that Snap is working on two of the hardest businesses there are, consumer social and hardware, and recalls earlier efforts including Spectacles and a camera drone. Spiegel confirms that the next product, Specs, is launching this year.

His explanation starts with personal history. He grew up on computers, built his own in middle school, and spent lunch periods in the computer lab doing graphic design. What he noticed was that computers, and now phones, often isolate people: they took him off the playground, and today he sees his 15-year-old and friends hanging out together while looking down at their phones. He sees a large opportunity for technology that brings people together and keeps them grounded in the real world.

At Snapchat, he says, the team saw people using AR on small phone screens and interacting with their thumbs, which he likens to looking at the world through a keyhole. With people now spending, by his estimate, seven or eight hours a day on screens, he believes computing must change to fit better into people's lives. People get enormous value from computers, but he thinks the cost is meaningful.

He describes a multi-year roadmap. The first Spectacles, which he dates to "2014 or something like that," were simply meant to get the camera off the phone and out of the pocket. Later versions added a second camera for depth, then a display to overlay digital objects onto the world. The 2024 generation introduced Snap's operating system so developers could build full-featured software for Specs ahead of a consumer launch. He argues that people are frustrated with phones, "hunched over like gremlins," and that Snap has built a new computer that gets people outside, connects them with friends, and frees their hands. It has been roughly 20 years since the iPhone, he says, so it is time for something new.

16:12

Specs versus heads-up-display glasses

Rachitsky, who had tried an early version of Specs, describes air-bending, placing virtual plants around his house, drawing in space, and multiplayer features. He asks how to keep people from being constantly distracted by content beside the person they are with.

Spiegel says social norms will play a big role, but he distinguishes Specs from heads-up-display glasses. Specs, he says, anchor content in the world, directly in the field of view, rather than attaching a small screen to your face that shows text alerts. He does not find notification use cases compelling and doesn't think most people want phone notifications on their face, so he considers that concern less pressing. The important thing, in his view, is showing people new ways to hang out with friends while wearing Specs. He also criticizes the placement of heads-up displays: when you glance at the display in the corner while talking to someone, you end up looking at their crotch. He does not believe that behavior resonates with customers or will become widespread.

18:08

Two kinds of organization: the Loonshots model

On how Snap keeps innovating relative to its size, Spiegel points to Loonshots by Safi Bahcall, saying that reading it explained much of how Snap already thinks. His summary of Bahcall's argument: delivering a product at scale usually requires a large organization with hierarchy, structure, and operational rigor. In such organizations, people focus on promotions and the next rung of the hierarchy, which makes them risk-averse and less willing to try new things. Innovation, by contrast, thrives in very flat structures with no fancy titles, freedom to try things, fail quickly, and float crazy ideas.

The successful companies, in this account, have both kinds of organization, and leadership's job is to create a healthy relationship between them. Otherwise, the small innovative team dismisses the large organization as bureaucratic and slow, and the large organization sees the innovators as "jokers" who don't drive the business or serve customers. Leaders must build mutual respect and dialogue across that divide.

Spiegel says this matches Snap. The company must run as a large public company serving almost a billion customers, with a highly reliable service and effective operations. At the same time, it has a very small design team, oscillating between nine and 12 people, with no hierarchy, that constantly creates new things. Much of Snap's innovation, he says, comes from the dialogue between the two, because engineers working on reliability and customers also have great ideas. Rachitsky likens this to fast and slow thinking in Kahneman's System 1 and System 2. Spiegel stresses that new ideas can come from anywhere, but it is critical that the design team stay flat.

22:37

The Evan–Bobby model and the velocity of design work

Spiegel says much of how Snap was built was modeled on his original working relationship with co-founder Bobby Murphy. Murphy had a heavy computer science and statistics background but liked design and empathizing with customers. Spiegel studied product design at Stanford, a program then housed in mechanical engineering, and took some computer science classes. Their mutual respect and enjoyment of talking through products produced much of Snap's early innovation. The company has tried to scale that dialogue between engineers and designers while keeping an environment where people feel comfortable offering crazy ideas.

For the design team, Spiegel says, the most important thing is velocity. He meets with designers for a couple of hours every week to look at new work, which he guesses amounts to hundreds of ideas weekly. That approach blends two parts of his education. Stanford's product design program emphasized empathy and human-centered, iterative prototyping. He had also studied at Art Center and Otis in Los Angeles, where the expectation was to produce new work constantly and face a "brutal" critique process. He wanted both: deep empathy for what people want, and a high-velocity work ethic of making things every week and discussing them as a team, since so much learning happens in critique. The team's favorite saying, he says, is that if you want to have a good idea, you have to have lots of ideas.

25:21

Listening to customers without building what they ask for: the origin of Stories

Rachitsky raises Keith Rabois's contrarian view, from an earlier episode, that consumer founders shouldn't talk to customers at all. Spiegel disagrees. He says you must talk to customers and share your idea as early and often as possible, though that doesn't mean following their advice. Surveys, in his view, are not very helpful; long conversations of an hour or two about how people use technology and how they feel about it teach a great deal. He calls customers an endless source of inspiration.

Stories is his example. Users kept asking for a "send all" button so they could blast snaps to all their friends. At the same time, conversations about social media revealed that people felt pressure because posts were permanent and accompanied by likes and comments, so they only shared polished, perfect things. They liked that Snapchat let them express themselves without that judgment. Digging deeper, the team found that people thought reverse-chronological feeds were strange: the end of a birthday party would appear first, then the middle, then the beginning.

Snap listened to all of this but built something different. Stories let people share with all their friends without spamming them, removed public metrics like likes and comments to reduce pressure, disappeared after 24 hours so everyone could start fresh, and, perhaps most importantly in Spiegel's view, ran in chronological order, the way people have always told stories. The feedback shaped the design, but the team didn't build exactly what users requested.

He adds that the process was iterative. Early concepts resembled a status update showing what friends were up to even when no snaps were exchanged. Through more conversations and iteration, that evolved into Stories, along with gestures now taken for granted, such as tapping forward and backward and full-screen vertical content, which he says were new at the time.

29:22

Screenshot detection: making disappearing photos credible

Another story Spiegel tells concerns the early days, when people dismissed the premise of disappearing photos because anyone could take a screenshot. That summer, working out of his father's house, he and Murphy enjoyed using the product but kept hearing that it made no sense.

Their solution exploited a technical quirk. Because users had to press and hold to open a snap, the team realized that taking a screenshot while a finger was on the screen triggered an event that effectively reported the finger had lost contact with the screen. Apple did not provide an API for screenshot detection at the time, but this touch event let Snapchat infer that a screenshot had occurred and notify the sender. Spiegel says the community didn't mind if someone saved a snap; they just wanted to know. He credits this invention as one of the first things that gained real traction and helped Snapchat spread as a new way of communicating.

31:16

Why Snap waited to hire product managers

Rachitsky cites his research showing Snap had about 200 employees before hiring its first PM and asks whether that was a mistake. Spiegel says his view of product management grew out of his view of designers. In the traditional tech org structure, he argues, designers mostly produce visuals in response to PMs, rather than shaping product direction, strategy, vision, or new innovation. He did not want that culture at Snap, which was modeled on the design-engineering partnership he had with Murphy.

So his early position was not that Snap didn't need PM work, but that designers should do it. If designers needed PM support, the message was essentially to do it themselves, which he believes helped designers take a more active role in product development.

Today, at Snap's scale, with legal requirements and trust and safety considerations, he says getting a product out "really does take a village." PMs now play an important coordination role, synthesize inputs such as data science analysis, and convene working groups. As the company gained capabilities it lacked early on, PMs became important for bringing those people together and delivering the right thing at the right time.

34:53

AI, the PM–designer–engineer "standoff," and design as a deliberate bottleneck

Rachitsky mentions Marc Andreessen's description of a three-way standoff among PMs, designers, and engineers, each believing AI makes the others unnecessary. Spiegel says a standoff sounds dysfunctional, though he likes that people are rethinking how work gets done, which he considers imperative given the extraordinary rate of change. He thinks designers feel vindicated after years of parents asking why they weren't studying computer science. Many Snap designers now ship code, which he calls a big and meaningful change. Removing friction between idea and impact at the scale of nearly a billion users is, in his view, empowering for designers who feel these tools may somewhat level the playing field for creative people.

Rachitsky observes that easier building seems to be producing a lot of merely okay products, and wonders when design will have its moment as a differentiator. Spiegel says that at Snap, design has always acted as an intentional bottleneck: things must be approved by design to ship. He acknowledges this sometimes annoys people and slows shipping, and that a good idea from a PM or engineer may ship more slowly than it should if its creator can't work well with design. But he considers the bottleneck essential for a cohesive customer experience. You can tell, he says, when different teams own different pages of an app without a coherent through line.

Staying close to the product and the customer

Asked about his hands-on involvement in details, Spiegel says building things is what he loves and what gets him "skipping to work" in the morning, while acknowledging that there are more talented experts on every area. He doesn't think this applies only to founders. Whatever the company or role, he believes staying close to customers and to how the product serves them is the most important thing a leader can do. He subscribes to the "old school" approach of walking the floors and talking to customers. Asked whether this matters especially for consumer products, he says no: it matters for any company that wants to differentiate on product experience.

39:51

How Snap hires and develops designers

Snap hires designers solely on their portfolios, Spiegel says. He doesn't care where someone worked or their level of experience, and most designers join straight out of school rather than from big tech companies. He looks for two things.

The first is range, which he treats as the line between art and design. Someone with a strong, distinctive personal style is expressing their own point of view, which can be beautiful but is art. Design, in his definition, means empathizing with an audience and building something that resonates with them, which requires the ability to make things that look completely different. A portfolio where everything looks the same signals an artist rather than a designer.

The second is the story behind the work. He interviews every designer who joins and typically asks them to pick any piece they feel strongly about, love it or hate it, and explain why they made it and what they learned. That reveals their process, and he wants a team whose members approach invention differently. He sees varied backgrounds, such as 3D animation or electrical engineering, as a major strength.

On developing young designers, his main method is helping them make lots of things and get lots of feedback from customers, teammates, and him directly. On their first day on the design team, new designers present work, which sets the tone. Once people get comfortable with that velocity, he says, ego melts away: when you are producing a thousand ideas, it doesn't matter that most aren't great. The goal is to eliminate "preciousness" about any single idea. Snap also rotates designers across products rather than leaving them on one area for long, to bring fresh perspectives and avoid boredom. He mentions that Snap has one of the largest maps in the world and the biggest AR platform, which he describes as exciting opportunities for designers.

Rachitsky recounts that Jenny Wen, who moved from design leadership to IC work at Anthropic, found the constant critique the hardest adjustment. Spiegel adds a counterweight: there is no gate on showing him work. Anyone can put any idea on the list for the weekly meeting regardless of how good others think it is, because over-reliance on critique can filter out great ideas.

45:32

Designers shipping code, guardrails at scale, and organizing AI around jobs to be done

Rachitsky mentions a big tech company that requires designers to ship a quota of PRs. Spiegel says shipping code is not a requirement at Snap. The design team has always had a "just figure it out" attitude; he recalls a team member who had never done 3D graphics taking online tutorials and getting going. So he doesn't think people need to be pushed to adopt new tools.

The bigger question, he says, is how not to break things at nearly a billion users when almost anyone can submit a PR. Snap has built AI tools and guardrails both to let more people contribute code and to reduce bugs. It now has automated code review that he believes has detected close to 10,000 bugs. On the internal version of the app, employees can shake the phone to report a problem, and agents now debug what went wrong and can suggest a fix. He expects that, fairly soon, agents will implement the fixes too.

To bring "order to that chaos," Snap started from the jobs to be done for its community and advertisers. For Snapchatters, those include downloading the app, adding close friends, and using lenses; for advertisers, they include joining the ad platform and configuring campaigns. Listing these jobs made it clear where agents could help and where to build cross-functional teams supported by AI tools. It also gave Snap a way to track progress against business outcomes for each job. He wants a thousand flowers to bloom with agent experimentation, while keeping the focus on what matters to the community and advertisers.

48:56

How the CEO job changed, and learning to communicate

Looking back over 15 years, Spiegel says the hardest thing to grasp is how much the job changes. Early on, he helped design the product while also answering customer support emails, sorting out legal filings, and raising money. Over time, the job became about leadership: selecting and developing people, building culture seriously and creating structures to sustain it, setting strategy, and managing through major changes such as the pandemic, rebuilding the advertising platform, and now AI. He says he could never have anticipated this, but finds it energizing.

His biggest area of growth has been communication. He recalls meeting President Bill Clinton early on, who described the presidency as being essentially "explainer in chief." Spiegel says he returns to that idea often, since so much of his job is explaining things to employees, shareholders, and the world in ways that make sense and inspire. He admits he was "unnecessarily dismissive" of communication early on.

The only way to improve, he says, was doing it. He was reluctant to hold all-hands meetings or Q&As and preferred to send an email, until a board member told him, in effect, that this was his job. He decided to learn to love it, and says he now genuinely enjoys the tough questions and learns from them.

Rachitsky asks about Rahul Vohra of Superhuman, who stepped back from tasks he disliked to focus on what he loved. Spiegel says that is only partly possible for a CEO. The role carries responsibilities and operational rigor that are not always enjoyable or glamorous. If he only wanted to work on product, he would take a different job at Snap. He stays because he enjoys leading the company's direction and sees a large opportunity to change how people use computing, through Snapchat and Specs. He acknowledges he would probably spend more time with family and have more fun on some days in a different role, but calls this a once-in-a-lifetime opportunity.

54:15

The "crucible moment" and being the middle child

Rachitsky raises Spiegel's year-end letter describing this year as a crucible moment, and notes the contrast between Snap's scale and a stock that hasn't performed well, with investors pushing for changes. Spiegel explains the framing: Snap is nearly large enough to enter the Fortune 500, nearly at a billion monthly active users, and about to launch Specs after 12 years of investment. At the same time, it is still not net-income profitable, because it chose to invest heavily in the future.

This year, he says, Snap must prove it can be a strong, profitable business that keeps growing in reach and engagement, citing new products such as topic chats and Spotlight, and roughly 200 million people playing games on Snapchat each month. The reason this matters, in his framing, is that winning long-term with Specs will be very hard without a solid foundation. After a couple of years of rebuilding the ad platform and go-to-market efforts, and rapid growth among small and medium-sized advertisers, he wants to show the foundation is strong enough for the next chapter. He calls it a turning point and an "all hands on deck" moment.

He also describes Snap as a "middle child": much larger than Pinterest or Reddit, far smaller than Meta and Google. That position brings enough scale to do interesting things, but also the risk of being overshadowed by older siblings while younger ones get attention. Middle children, he says, have to define themselves. Getting Specs into consumers' hands is part of that, because after talking about Specs for so long, it is hard for people to understand Snap's next chapter without something they can actually use.

Screens at home

Spiegel has four sons, aged two, six, seven, and 15, and approaches screens differently for each. The two-year-old gets no screen time except during haircuts, which he struggles with, when he watches YouTube videos of Bobcat tractors. The six- and seven-year-olds watch movies occasionally and don't have phones; over Christmas they received ModRetro handheld consoles from Palmer Luckey's startup, a gift from the TBPN hosts. The 15-year-old is "all in" on technology for school, friends, and Snapchat.

On AI, Spiegel says he recently asked his kids at breakfast how their schools approach it, and the answer so far has been "not really." The kids experiment at home and beta-test Specs with him, and his eldest, Flynn, is the most fluent with AI tools. He argues that children are born imaginative and that AI lets them turn any idea into something almost instantly. He wants his kids to have that experience and believes deep integration into education will be important.

1:01:14

How Spiegel uses AI, and his contrarian view

For his own work, Spiegel has built an agent in Glean, which integrates Snap's dashboards, documents, and data. It combs through what is happening across the company and flags what he should focus on, occasionally catching things he hadn't noticed. Combined with weekly notes from leaders listing three things from the past week and three ahead, plus usage metrics, he feels he has a good sense of company hotspots. He says AI is enabling the kind of flat, fast-moving leadership structure he has always wanted. He uses Glean for this because it is, for Snap, the most secure way to access internal documents, while noting that Claude can build all sorts of things.

More broadly, Snap is working on agents that handle entire workflows. His example is a go-to-market agent that takes a product idea and writes the spec, identifies who needs to sign off, helps with legal and trust-and-safety risk analysis, and writes go-to-market materials such as blog posts. The team is now working on generating visuals as well, all in one shot. He ties this back to jobs to be done: if a job is defined clearly enough, an agent can be built to do it. Snap has been using Claude for much of this work.

His contrarian view is that the industry focuses too much on technology, when humanity matters more because humanity decides how technology is adopted. He believes people are massively underestimating how much human comfort with AI advances will determine their deployment. Technology leaders, he says, assume people will blindly adopt new technology, but he expects a period of significant societal pushback against many AI-driven changes. He argues the industry and the world should put humanity first and ensure tools advance human goals, not just business goals. Rachitsky adds that AI labs face a dilemma between warning about risks and frightening the public, citing surveys showing AI's poor popularity, and suggests Snap's long, playful use of AI shows another side of the technology.

Lightning round

Spiegel recommends The First 50 Years of Apple by David Pogue, especially the first half built on interviews with around 150 early Apple team members, and The End of the World Is Just the Beginning, which he describes as covering the vulnerability of global shipping and predicting a world in which the US has a harder time securing global waterways. He loved Marty Supreme, calling it a full-throttle experience. Through his kids he is rediscovering Pokémon and thinks the franchise has much more room to grow. His motto: "You have two ears and one mouth. Use them in that proportion."

His all-time favorite lens is the vomiting rainbow, for the joy it brought people; his least favorites are the aging lens or face swap. He notes that face swap relied on real-time, on-device machine learning that was cutting-edge at the time, and that Murphy created Snap's generative AI lab about a decade ago.

He closes by acknowledging widespread concern about how AI will change society, while saying he sees much to be optimistic about in making computing more human, which he says is Snap's focus as it prepares to share more later this year.