
Building Cluely: The Viral AI Startup that raised $15M in 10 Weeks
What if virality wasn’t a tactic — but the entire product?In this episode, a16z General Partners Erik Torenberg and Bryan Kim sit down with Roy Lee, cofounder and CEO of Cluely, one of the most talked-about consumer AI startups of 2025. Cluely didn’t raise a mega round or drop a feature suite to get traction - it broke through by turning distribution into design: launching viral short-form videos, pushing polarizing product drops, and building in public with speed and spectacle.We cover:– Why vi...
Table of Contents
🚀 How Does a Random College Kid Become the Center of the Tech Universe in 6 Months?
Roy's Meteoric Rise
Roy Lee's transformation from obscurity to tech stardom demonstrates the power of understanding viral distribution in the modern landscape.
The Numbers That Tell the Story:
- Timeline: Just 6 months from college dorm to tech celebrity status
- Revenue Velocity: Over $1 million in enterprise revenue after writing first code only 10 weeks ago
- Market Response: Elon Musk reaching out, Meta offering billion-dollar acquisition
The Secret Sauce - Viral Distribution Mastery:
- Algorithm Intelligence: Understanding how developed Instagram and TikTok algorithms really are
- Market Gap: Extremely small intersection of people who understand both viral mechanics and tech Twitter/LinkedIn
- Predictive Power: Roy's assumptions about virality proving increasingly correct in real-time
The "Riz Marketing" Phenomenon:
Roy's approach has been labeled "Riz marketing" - a compliment that people simultaneously love and hate. This polarizing reaction is precisely what drives viral distribution.
"There's such a very extremely small intersection of people who understand how developed the algorithm is on like Instagram TikTok and people on tech like Twitter LinkedIn and there's just such a small intersection that it's inevitable that my predictions will be right." - Roy Lee
⚡ What Happens When Your Startup Announcement Breaks the Internet?
The Viral Announcement Phenomenon
Roy's recent announcement created unprecedented buzz, generating both massive love and significant controversy while sparking deep analytical discussions.
The Immediate Impact:
- Viral Reach: Announcement exceeded all expectations for engagement and reach
- Polarized Response: Generated both intense support and notable criticism
- Meta-Analysis Wave: People creating 2-3 layers deep analysis of the announcement
Unexpected Intellectual Reactions:
- Literary Criticism: People writing academic-style analysis of Roy's content
- A16Z Theories: Complex analyses linking Cluely with venture capital strategies
- Chess Metaphors: Community treating every detail as part of a master plan
The Psychology Behind the Response:
The announcement revealed something profound about how people process and analyze viral content in the tech ecosystem.
"I think underestimated how positive people will view this there's a lot of meta-analysis on you out there which is like really really cool and there are people who are going like two to three layers deep." - Bryan Kim
"People always overread the stuff they're like 'Oh this had this master plan a16z is trying to do this whole space.' Yeah no don't tell them Eric we are playing 40 chess here." - Roy Lee
🎭 Why Being Provocative Since Birth Led to Building Companies?
The Origin Story of Attention-Grabbing Leadership
Roy's character-defining trait of being provocative and attention-grabbing has been consistent from childhood through his entrepreneurial journey.
The Pattern Throughout Life:
- Elementary Through High School: Always the boldest, saying everything on his mind with no filter
- Polarized Reception: Consistently had camps of people who loved him and camps who hated him
- Senior Year Crisis: Bold behavior led to suspension and Harvard rescission
The Harvard Rescission Turning Point:
- The Incident: Snuck out of school field trip, stayed out until 2 AM, police escort required
- The Consequence: Suspension led to Harvard admission being rescinded
- Family Context: Parents run college admissions consulting company, making this especially devastating
The Transformative Year Alone:
Spending an entire year at home after the Harvard incident became the catalyst for Roy's entrepreneurial mindset.
"I underestimated how mentally tormenting that would be like I'm probably the most extroverted person you might have ever met in your life I cannot stay maybe like 8 hours without talking to someone." - Roy Lee
"I might as well just quintuple down on every single crazy belief thought I have and just live the most interesting life ever so that was like the moment where I decided like I'm all in on building companies there there's no way I can do anything else." - Roy Lee
🏠 How Isolation Amplifies Your Craziest Thoughts Into Logic?
The Psychology of Solitary Reflection
Roy's year of isolation after the Harvard rescission became a crucible that transformed his mindset and approach to risk-taking.
The Mental Transformation Process:
- Echo Chamber Effect: Being alone with your thoughts for 12 months amplifies everything
- Logical Extremes: Craziest thoughts become logical when there's no external input
- Risk Tolerance: Isolation breeds willingness to make bigger, bolder bets
The Strategic Compromise:
- Community College Path: Middle ground to appease parents while building companies
- California Choice: Location providing both education and entrepreneurial opportunities
- Columbia Transfer: Eventually getting into Ivy League to satisfy family expectations
Parent Psychology Evolution:
Roy's parents' reactions changed based on his academic achievements, becoming more permissive after each success.
"You just sit in a room by yourself for like 12 months and all of a sudden your craziest thoughts become logical and there there's no one else like the echo chamber is you in your brain and it amplifies everything." - Roy Lee
The Columbia Co-founder Hunt:
Upon arriving at Columbia, Roy had two clear objectives that shaped his college experience.
"The first thing I'm thinking is like can I find a co-founder and a wife like those are the only two things that I'm looking for in college and still looking for the wife but on pretty much the first day that's when I met Neil my co-founder." - Roy Lee
💎 Key Insights
Essential Insights:
- Viral Distribution as Competitive Moat - Understanding modern algorithms creates massive advantages in a world where most tech leaders are behind on platform evolution
- Isolation Breeds Bold Thinking - Extended periods of solitary reflection can transform seemingly crazy ideas into logical business strategies
- Provocative Consistency Builds Brand - Maintaining authentic, attention-grabbing behavior from childhood through entrepreneurship creates genuine personal brand differentiation
Actionable Insights:
- Study platform algorithms deeply rather than dismissing them as "just social media"
- Use periods of setback or isolation for strategic thinking rather than just recovery
- Embrace polarizing reactions as signs of authentic brand building rather than seeking universal approval
📚 References
People Mentioned:
- Neil - Roy's co-founder met on the first day at Columbia University
- Brian - Mentioned in context of advice about Meta acquisition offer
- Elon Musk - Reached out to Roy following the viral announcement
- Erik Torenberg - Referenced in discussion about strategic planning and analysis
Companies & Products:
- Meta - Offered billion-dollar acquisition for Cluely
- A16Z (Andreessen Horowitz) - Venture capital firm mentioned in meta-analysis discussions
- Cluely - Roy's AI startup that generated over $1 million in enterprise revenue
Technologies & Tools:
- Instagram - Platform Roy understands for viral distribution and algorithm mechanics
- TikTok - Social platform with sophisticated algorithms that Roy leverages for marketing
- Twitter/X - Platform where tech community discussions happen but users are behind on viral mechanics
- LinkedIn - Professional platform mentioned as part of tech community ecosystem
Concepts & Frameworks:
- "Riz Marketing" - Term used to describe Roy's provocative marketing approach
- Viral Distribution - Core strategy and competitive advantage for Cluely
- Algorithm Intelligence - Understanding how social platform algorithms actually work
📺 Why Is Twitter Two Years Behind Instagram in Understanding Virality?
The Platform Evolution Timeline
Roy reveals the fundamental shifts in content creation and how different platforms lag behind in understanding viral mechanics.
The Three Revolutionary Moments:
- YouTube's Democratization: Content visibility no longer gated by ad spend but by content quality
- TikTok's Algorithm Shift: Quality became less important than volume - platforms needed to fill infinite scroll
- Current Reality: Not enough good content exists for average consumption patterns
The Content Scarcity Problem:
- Brain Rot Repetition: Same reels and Minecraft parkour videos recycled endlessly
- Supply Shortage: Insufficient content to satisfy platform appetite and user consumption
- Opportunity Gap: Most creators haven't recognized the volume-over-perfection shift
Platform-Specific Blind Spots:
Different platforms have varying levels of sophistication in their algorithm understanding and controversial content tolerance.
"There is simply not enough good content out there for the average person to consume which is why you see like the same brain rot reels over and over and over again." - Roy Lee
🔥 What Level of Controversialness Do Modern Algorithms Actually Reward?
The Controversy Calibration Strategy
Roy explains how he applies Instagram and TikTok controversy standards to platforms that aren't ready for that level of provocative content.
The Two Critical Insights Most Miss:
- Volume Over Perfection: Need to create more digestible content that any person can consume
- Controversy Appetite: Algorithms heavily reward controversial content, but most platforms lack supply
Platform Controversy Tolerance Levels:
- Instagram/TikTok: Extremely high tolerance - people commit apparent felonies and get "good try bro" responses
- X/LinkedIn: Very low tolerance - slight controversialness causes explosive reactions
- Algorithm Mechanics: Controversial content gets pushed into everyone's feed regardless of follower count
The Strategic Application:
Roy takes minimal controversial positions that would be unremarkable on Instagram but create massive engagement on X and LinkedIn.
"I take the slightest foot into controversialness and all of a sudden X LinkedIn explodes because the algorithm inherently highly highly rewards this stuff." - Roy Lee
"My videos do not go as viral on Instagram TikTok and the sole reason is because on those platforms they are not controversial enough." - Roy Lee
🚂 How Do Memes Travel Through the Internet's Supply Chain?
The Content Distribution Pipeline
Understanding how content flows between platforms reveals opportunities for strategic content placement and timing.
The Traditional Meme Supply Chain:
- 4chan → Reddit → Twitter → Instagram → LinkedIn → CNBC
- Each platform receives content at different stages of the viral lifecycle
- Some platforms and audiences are consistently late to trends
Roy's Reversed Strategy:
- Flipped Pipeline: Instagram and TikTok sophistication applied to earlier-stage platforms
- Timing Advantage: Bringing advanced viral tactics to platforms not ready for them
- Creator Gap: Insufficient creators willing to press the controversial button on professional platforms
The Comprehension Problem:
Roy suggests that X users commenting negatively would be overwhelmed by the content standards on his Instagram feed.
"The average person who's in X comments hating about how controversial this is if they spent one hour looking through the timeline that is my Instagram feed their brains would melt and explode." - Roy Lee
🔮 Why Is This Just the Beginning of Controversial Content?
The Generational Shift in Content Creation
Roy predicts that his approach represents the early wave of a fundamental change in how companies will build and market themselves.
The Inevitable Future:
- Generational Replacement: Fewer millennial founders, more Gen Z founders entering the space
- Shared Background: Next generation has identical content creation experience and understanding
- Pattern Recognition: Future founders know exactly what Roy is doing and will replicate it
The Canary in the Coal Mine:
- Leading Indicator: Roy sees himself as the early signal of this trend
- Embrace Strategy: Recommends accepting this shift rather than fighting it
- X Platform Evolution: Since Elon's takeover, complaints about controversial content are just the beginning
The Business Implication:
This isn't just about content - it's about how entire companies will be built and marketed in the future.
"You're not going to get more millennial founders you're only going to get more Gen Z founders and I guarantee you their backgrounds in content are the exact same as mine and they know exactly what I'm doing." - Roy Lee
"This is what the future of content is going to be... I'm sort of like the canary that's leading the way for this but I guarantee you there's more of this coming and it's inevitable." - Roy Lee
💎 Key Insights
Essential Insights:
- Platform Lag Creates Opportunity - Different platforms have varying sophistication levels in viral content, creating arbitrage opportunities for those who understand advanced tactics
- Volume Beats Perfection in Modern Algorithms - The shift from quality-gated to quantity-needed content creation fundamentally changed the game
- Controversy Calibration Is Platform-Specific - What's unremarkable on one platform can be explosive on another, requiring strategic content adaptation
Actionable Insights:
- Study content that performs well on advanced platforms like TikTok and Instagram, then adapt for professional platforms
- Increase content volume rather than perfecting individual pieces for algorithm optimization
- Test slightly controversial positions on platforms with lower controversy tolerance to generate outsized engagement
📚 References
People Mentioned:
- Mark - Referenced discussing the "supply chain of the meme" concept
- Elon Musk - Mentioned in context of X platform changes since his takeover
Companies & Products:
- YouTube - Platform that first democratized content creation and visibility
- TikTok - Platform that shifted algorithms to prioritize volume over quality
- Instagram - Platform with high controversy tolerance and advanced viral mechanics
- X (Twitter) - Platform described as being behind in viral content understanding
- LinkedIn - Professional platform with low controversy tolerance
- Reddit - Part of the traditional meme supply chain
- 4chan - Origin point in the traditional meme distribution pipeline
- CNBC - Final destination in the traditional meme supply chain
Technologies & Tools:
- Short-form Algorithms - Technology that shifted content strategy from quality to volume
- Feed Algorithms - Systems that promote controversial content into user timelines
Concepts & Frameworks:
- Meme Supply Chain - The pathway content travels from platform to platform
- Content Democratization - The shift from ad-spend gated to quality-gated content visibility
- Viral Fit - The concept of content designed specifically for viral distribution
- Controversy Calibration - Strategic adjustment of provocative content based on platform tolerance
- Brain Rot Content - Repetitive, low-effort content that fills algorithm demand
🚀 When Did Roy Realize He Had Mastered Something Others Haven't?
The Algorithm Mastery Revelation
Roy's journey from random viral moments to systematic viral dominance through understanding what traditional tech leaders miss.
The Turning Point Realization:
- Pattern Recognition: After multiple viral successes, Roy realized this wasn't luck but replicable skill
- Market Gap: People on X and LinkedIn haven't caught on to short-form algorithm mastery
- Competitive Advantage: This knowledge gap creates massive alpha for those who understand it
The Interview Coder Origin Story:
- First Viral Moment: Created tool to cheat on technical interviews, used it publicly at Amazon
- Inherent Virality: Getting kicked out of Ivy League while raising $5M - unprecedented in history
- Unintentional Discovery: Didn't realize this viral potential was repeatable at first
The Systematic Approach Development:
Roy began questioning why no one was replicating successful viral strategies like Avi Schiffman's friend.com launch.
"I kept going viral that I sort of realized that I know something that X LinkedIn people don't know yet and it is sort of like mastery of the algorithm." - Roy Lee
"When's the last time someone got kicked out of an Ivy League and raised $5 million like this has probably never happened in the history of humanity." - Roy Lee
🎯 Why Does Every Employee Need 100K+ Followers to Work at Cluely?
The Two-Role Company Structure
Roy's radical approach to company building where distribution expertise is as critical as engineering talent.
The Binary Employment Model:
- World-Class Engineers: Building the actual product and technical infrastructure
- World-Class Influencers: Full-time employees with proven viral content mastery
The 100K Follower Requirement:
- Proof of Mastery: Only way to demonstrate actual understanding of virality
- Marketing Revolution: Traditional marketing heads without follower proof should be replaced
- Game Change Recognition: The fundamental shift in how marketing and distribution work
The 50 Interns Strategy:
Roy's viral announcement about hiring 50 interns to create content all day represents the new marketing paradigm.
"If any company in the world has a marketing team and the head of marketing does not have 100,000 at least 100,000 followers like you you need to replace them like like the game has changed." - Roy Lee
📹 How Do You Build a Content Army That Actually Converts?
The Modern Marketing Machine
Cluely's approach to scaling content creation through contractors who generate millions of views for minimal cost.
The Content Factory Model:
- 60+ Contractors: Paid per video rather than traditional salary structure
- Platform Focus: Creating TikTok and Instagram videos specifically about Cluely
- Volume Strategy: Multiple 10-second videos that individually make little sense but collectively generate massive views
The Economic Advantage:
- Cost Efficiency: $20,000 investment generating same results as million-dollar Super Bowl ads
- Conversion Proof: Instagram and TikTok videos are the primary converting content
- Job Evolution: Roles that didn't exist 5 years ago but now drive business results
The Inexplicable Job Description:
Roy highlights how modern marketing roles defy traditional understanding but deliver measurable results.
"How do you explain the job of you sit in front of a camera and you make five 10-second videos that make seemingly make no sense to anybody but just consistently generate millions of views." - Roy Lee
"You're they're paying literally millions of dollars for Super Bowl ads when you can get the same quality and quantity of views $20,000." - Roy Lee
🤝 How Did a16z Partner Track Down Roy and Win the Deal?
The Unconventional Partnership Story
Brian Kim's persistent approach to building a relationship with Roy despite initial rejection and ultimately recognizing the conversion potential.
The Initial Contact and Rejection:
- Referral Source: Ali Dvau recommended Roy as part of young, promising founders list
- First Reach Out: Brian contacted Roy who was initially interested
- The Reversal: Roy's advisor told him to avoid multi-stage investors, leading to rejection
Brian's Persistence Strategy:
- Relationship Building: Promised no fundraising talk, just wanted to meet and build connection
- Tracking Period: Monitored Roy's Twitter activity and the 50 intern announcement
- Physical Presence: Showed up at Roy's San Francisco office unannounced
The Office Visit Revelation:
Brian witnessed something special happening - random engineers showing up just to meet Roy, quality team members creating content, and genuine momentum.
"I promise you will not talk about fundraising let's just talk like I want to meet you i want to talk to you i want to build a relationship." - Brian Kim
"The quality of the people the fact that random engineers were knocking on the door to come talk to you randomly was just like 'Oh like there's something like really strange and special happening here.'" - Brian Kim
💰 What Made Brian Realize Roy Could Convert Attention Into Real Dollars?
The Revenue Revelation Moment
The critical moment when Brian discovered that Roy wasn't just generating viral content but actually converting it into meaningful business revenue.
The Conversion Discovery:
- Metrics Flash: During a casual visit, Roy shared actual revenue numbers
- Enterprise Interest: Unexpected enterprise customers reaching out despite consumer focus
- Revenue Reality: Converting viral awareness directly into dollars - a rare skill
Brian's Investment Thesis Development:
- Momentum as a Moat: Writing about how difficult it is to pierce through AI noise consistently
- Speed Recognition: Companies that build and distribute at Roy's speed become winners
- Rare Skill: Finding someone who actually converts viral attention to revenue
The Quick Deal Process:
Once Brian saw the conversion proof, the investment moved rapidly with minimal due diligence.
"You're converting this like awareness and eyeballs into money dollars you like drop some numbers you're like 'Oh yeah we're doing this many revenue and that's what we're doing.'" - Brian Kim
"I don't know many people who know how to do that and during that time I was already writing this thing called momentum as a mode because it's been so hard to pierce through the noise of everything in AI." - Brian Kim
💎 Key Insights
Essential Insights:
- Algorithm Mastery as Business Moat - Understanding short-form algorithms creates sustainable competitive advantages that traditional tech leaders haven't recognized
- Distribution Expertise Equals Engineering Talent - Modern companies need viral content creators as much as world-class engineers to succeed
- Conversion Is the Ultimate Metric - Viral attention only matters if it translates to revenue, and this skill is exceptionally rare
Actionable Insights:
- Hire based on proven social media following rather than traditional marketing credentials
- Build content creation systems that prioritize volume and platform-specific optimization
- Focus on conversion metrics rather than just engagement or awareness numbers
📚 References
People Mentioned:
- Ali Dvau - New York contact who referred Roy to Brian, travels in young entrepreneur circles
- Avi Schiffman - Creator behind friend.com viral launch strategy that Roy references as inspiration
- Neil - Roy's co-founder working on product development
- Nicholas - Roy's friend present during Brian's office visit
Companies & Products:
- Interview Coder - Roy's original tool for cheating on technical interviews, early prototype of Cluely
- Amazon - Company where Roy used Interview Coder and got blacklisted from big tech
- friend.com - Avi Schiffman's company that demonstrated viral launch potential
- Cluely - Roy's current AI startup with proven revenue conversion
- a16z (Andreessen Horowitz) - Venture capital firm that invested in Cluely
- Stripe - Payment platform mentioned for revenue data verification
Technologies & Tools:
- TikTok - Primary platform for Cluely's contractor-generated content
- Instagram - Key platform for converting viral content to revenue
- Twitter/X - Platform where Roy tracks engagement and viral performance
- Short-form Algorithms - Technology Roy has mastered for systematic viral content
Concepts & Frameworks:
- Momentum as a Moat - Brian's investment thesis about companies that can consistently break through noise
- Distribution Scarcity - The idea that viral distribution expertise is rarer than good content creation
- Two-Role Company Structure - Roy's model of only hiring world-class engineers or proven influencers
- Content Army Strategy - Scaling viral content through contractor networks rather than traditional marketing
🍪 Why Does Snap Need a "Gingerbread Strategy" to Survive Meta?
The Constant Innovation Imperative
Understanding how network effects have weakened and why companies must maintain continuous momentum to stay competitive.
The Gingerbread Strategy Explained:
- Invention Cycle: Snap constantly creates new features knowing Meta will copy them
- Follow the Breadcrumbs: Like Hansel and Gretel, they must keep dropping innovation breadcrumbs
- Defensive Innovation: Innovation becomes survival mechanism rather than growth strategy
The Weakening of Traditional Moats:
- Network Effects Decline: Traditional defensibility mechanisms aren't as strong as before
- Copy Speed: Large platforms can replicate innovations faster than ever
- Innovation Requirement: Companies must keep pushing boundaries to maintain relevance
Brian's Background Context:
Having worked at Snap and backed multiple consumer companies, Brian witnessed firsthand how traditional moats eroded in the mobile era.
"If they invent stuff Meta is going to copy it so they just have to keep inventing stuff." - Ben Thompson's insight on Snap's strategy
🎯 How Did Brian's Investment Philosophy Transform in the AI Era?
From Retention-First to Speed-First Strategy
Brian's fundamental shift from believing in carefully crafted, highly retentive products to embracing momentum-driven development.
The Old Belief System:
- Handcrafted Artisan Products: Carefully built products that address core user needs
- High Retention Focus: Primary metric was whether users came back repeatedly
- Traditional Moats: Network effects and product stickiness as primary defensibility
The AI Era Reality Check:
- Rapid Model Changes: Underlying AI models change daily or weekly
- Feature Obsolescence: Carefully crafted features can become irrelevant overnight when OpenAI releases updates
- Speed Imperative: Slow, thoughtful product development becomes a liability
The New Framework Recognition:
AI's magical capabilities mean people will give almost anything a chance, but speed of execution determines winners.
"I actually truly believed in these handcrafted artisan products that really get to the core of why people want to use it... but things change too fast." - Brian Kim
"If you craft this thing and OpenAI has someone like built their new model to include that part in their new product you're done you're gone." - Brian Kim
✈️ Why Is Building AI Companies Like Flying a Plane While It's Falling?
The Thrill of High-Speed Development
Brian's metaphor for why momentum-driven founders excel in the AI environment where constant adaptation is essential.
The Plane Metaphor Breakdown:
- Falling Plane Scenario: AI landscape changes so rapidly that companies are constantly in crisis mode
- Building While Falling: Must develop product, distribution, and strategy simultaneously under pressure
- Thrill Seekers Win: Founders who get excited by chaos and uncertainty have competitive advantages
Why This Approach Works in AI:
- AI's Magical Nature: Technology is so impressive that users will try almost anything
- Opportunity Window: "Anything goes" mentality creates openings for fast movers
- Integration Requirement: Product speed, distribution speed, and marketing speed must all align
The Founder Archetype for AI Success:
Roy represents the type of founder who thrives in high-speed, high-uncertainty environments.
"AI is so magical we like built a digital god locked it in a chatbot because it's so magical right now kind of anything goes like people will give it a chance." - Brian Kim
"People who enjoy the thrill of the plane going down and actually is like is excited about building as it goes down I think those are the winners of the next day." - Brian Kim
🚀 How Did Distribution Become the New Technical Co-Founder?
The Scarcity Shift from Technical to Audience Building
Erik's analysis of how the startup ecosystem evolved from undervaluing technical founders to undervaluing distribution expertise.
Paul Graham's Original Insight:
- Technical Founders Undervalued: Early Y Combinator recognized technical talent was underappreciated
- Business vs. Technical: Easier to teach technical founders business than teach business people to code
- 15-Year Evolution: Building became dramatically easier through AWS, low-code tools, and AI
The New Scarcity Reality:
- Flooded Software Ecosystem: Too much software competing for attention
- Marketing Channel Exhaustion: Traditional marketing channels "wrung out dry"
- Distribution as Bottleneck: Getting attention becomes harder than building products
The Creator Economy Parallel:
While creators have built physical goods businesses (Mr. Beast's Feastables, Kylie Jenner's makeup), none have successfully built major software companies.
"Distribution becomes the scarcity... there's so much software there's so you know it's such a flooded ecosystem." - Erik Torenberg
"No one's really done it with software no one has put the two and two together." - Erik Torenberg
🤔 Why Haven't Major Creators Built Successful Software Companies?
The Missed Opportunity in Creator-Driven Software
Exploring why influential creators have succeeded in physical goods but failed to leverage their audiences for software ventures.
Successful Creator Commerce Examples:
- Mr. Beast: Feastables chocolate and other physical products
- Kylie Jenner: Makeup and cosmetics line
- Pattern Recognition: Creators excel at physical goods with their audiences
Failed Software Attempts:
- Justin Bieber: Attempted social network called "Shots"
- John Shahidi: Used Bieber's influence for social platform
- General Pattern: No major creator has built significant consumer or enterprise software
The Untapped Potential:
Erik suggests creators like Mr. Beast could build software companies with better margins than physical goods, but haven't attempted it seriously.
"Why doesn't Mr beast launched like a Square competitor like he's got all these eyeballs like he's got I'm sure he's got to get something better margins than than than Feastables." - Erik Torenberg
"What I like is that Roy is putting both of those together." - Erik Torenberg
💎 Key Insights
Essential Insights:
- Speed Trumps Perfection in AI Era - Rapid model changes make careful product development a liability, requiring momentum-driven approaches
- Distribution Scarcity Replaces Technical Scarcity - Building software became easy, but getting attention in a flooded market is the new bottleneck
- Creator + Software Opportunity - Major creators have built physical goods empires but haven't successfully translated audiences to software companies
Actionable Insights:
- Embrace rapid iteration over perfect product development in AI-driven markets
- Hire for proven distribution ability rather than traditional business credentials
- Study successful creator commerce models for audience engagement techniques applicable to software
📚 References
People Mentioned:
- Ben Thompson - Analyst who wrote about Snap's "gingerbread strategy" for competing with Meta
- Paul Graham - Y Combinator founder who identified undervalued technical founders
- Andrew Chen - Author of piece about marketing channels being "wrung out dry"
- Mr. Beast - Creator who built successful physical goods business with Feastables
- Kylie Jenner - Creator who built successful makeup line business
- Justin Bieber - Attempted to build social network called "Shots"
- John Shahidi - Used Bieber's influence for social platform development
Companies & Products:
- Snap - Company using "gingerbread strategy" to compete with Meta copying features
- Meta - Platform that copies Snap innovations, forcing constant invention
- Y Combinator - Startup accelerator that first recognized undervalued technical founders
- AWS - Cloud platform that made building software easier
- OpenAI - AI company whose rapid model updates can obsolete competitor features
- Feastables - Mr. Beast's successful chocolate business
- Square - Payment company Erik suggests creators could compete with
- Shots - Failed social network attempt by Justin Bieber
Technologies & Tools:
- Low-code platforms - Tools that made software development more accessible
- AI models - Technology that changes so rapidly it requires momentum-driven development
- Chatbots - Interface that contains "digital god" AI capabilities
Concepts & Frameworks:
- Gingerbread Strategy - Constant innovation to stay ahead of copying competitors
- Momentum as a Moat - Brian's theory that speed of execution creates defensibility in AI era
- Network Effects - Traditional moats that have weakened in modern competitive landscape
- Distribution Scarcity - The shift from technical talent shortage to audience-building talent shortage
- Creator Economy - Business model of influencers building commerce businesses around their audiences
⚡ How Do You Build a Billion-View Startup in Just 10 Weeks?
The Lightning-Fast Development Timeline
Roy reveals the incredibly compressed timeline from first line of code to becoming the world's most viral startup.
The Accelerated Development Process:
- Weekend Creation: Interview Coder built over a weekend in Roy's dorm
- 10-Week Timeline: First line of Cluely code written just 10 weeks ago
- Massive Impact: 250 million impressions on Interview Coder scenario alone
The Strategic Pivot Realization:
- UX Discovery: Realized they had something special with the user experience
- Market Expansion: Evolved from "interview cheating" to "cheat on everything"
- General Purpose Tool: Created invisible AI overlay for universal application
The Billion-View Achievement:
Cluely has surpassed a billion views overall, making it likely the most viral startup globally.
"We just got so many eyeballs on this thing maybe if we can do this again but we have a more general use product with a similar UX cuz we think we're really on to something with the UX here." - Roy Lee
"Now we're past like a billion views overall on Cluely and we're the probably like the most viral startup in the world." - Roy Lee
📊 Why Does Strong Distribution Eliminate the Need for Market Research?
Data-Driven Product Development Through Virality
Roy explains how massive distribution provides better product direction insights than traditional market research methods.
The Distribution Advantage for Product Discovery:
- User Behavior Data: Usage patterns reveal market fit direction automatically
- Aggregate Numbers: Large-scale data eliminates need for individual user interviews
- Organic Direction: Users naturally guide product development through their actions
Traditional vs. Viral Development Approaches:
- Traditional Method: Spend months building, then test market response
- Viral Method: Test concept through content, then build based on response
- Speed Advantage: Much faster iteration cycles through content testing
The Enterprise Revenue Discovery:
Roy discovered the sales call opportunity by casually mentioning it in viral content, immediately generating over $1 million in enterprise revenue.
"You do not have to worry about market fit or anything because your users will tell you where the direction of market fit is headed and their usage data will literally give you the information that you need to know." - Roy Lee
"We just said 'Hey let's just throw sales calls in the videos to see if people use it for sales calls because that seems like a pretty lucrative space' all of a sudden we have like over a million dollars of enterprise revenue coming in." - Roy Lee
🎯 How Do You Test "Viral Fit" vs. "Market Fit"?
The Algorithm-Driven Validation Process
Roy's revolutionary approach to using social media algorithms as rapid product validation systems.
Viral Fit Testing Methodology:
- Algorithm Feedback: Views, likes, and shares provide immediate validation metrics
- Faster Iteration: Much quicker than traditional product-market fit testing
- Shot-in-Dark Accuracy: Distribution testing more accurate than product testing
The Content-First Validation Process:
- Minimal Product Launch: Barely functioning product when launch video went live
- Final Test Timing: Finished product testing the day before viral launch
- Content-Driven Discovery: Video content reveals user interest before full development
The Speed Advantage:
Algorithm metrics provide real-time feedback on strategy effectiveness, dramatically accelerating the validation process.
"It's much much easier to test is this viral does this have viral fit rather than does this have like you know market fit." - Roy Lee
"We barely had a functioning product like the day before is when we finished our final test and we're like 'Okay we think this works now let's just launch the video as soon as possible.'" - Roy Lee
👀 Why Is the Translucent Overlay the Future of AI Interfaces?
The UX Innovation That Changes Everything
Brian's recognition of Roy's unique combination of viral distribution mastery and breakthrough interface design.
The Rare Skill Intersection:
- Top 0.1% Distribution: Roy's elite-level viral content abilities
- Interface Innovation: Intuitive understanding of translucent overlay potential
- Technical Simplicity: Not technically complex but requires right instincts
The "Magical Moment" Discovery:
- Integration Need: AI should feel seamlessly integrated, not like separate windows
- Translucency Solution: Allows simultaneous viewing of original content and AI assistance
- Universal Application: Works beyond coding interviews for any context
Live Demonstration Impact:
Brian demonstrates Cluely during the interview, showing how it reveals Erik's University of Michigan background and philosophy degree.
"That overlap to me was what gave me so much excitement around what you're building." - Brian Kim
"AI should not feel like a separate window like it should be integrated seamlessly and that that looks like translucency." - Roy Lee
🏁 How Do You Compete Against OpenAI in a Land Grab Market?
The First-Mover Advantage in Novel UX
Roy's strategy for defending against major AI incumbents through distribution strength and interface innovation.
The Competitive Positioning:
- First-Mover Status: First to establish translucent overlay as AI interface standard
- Distribution Advantage: Better viral distribution than OpenAI despite their resources
- Land Grab Mentality: Racing to convince users they deserve to win the overlay space
The Long-Term Vision:
- Apple Integration: Translucent overlay as the future AI form factor (like "liquid glass")
- Inevitable Adoption: Everyone will eventually build translucent overlays
- Noise Advantage: Making so much noise that they become the obvious choice
The Value Proposition:
Roy argues investors can bet on Cluely at a "30,000x discount" compared to OpenAI while potentially achieving better distribution outcomes.
"Everyone's going to inevitably get to translucent overlay this is how an integrated AI should feel and like Apple shows everyone that like liquid glass is the translucent overlay." - Roy Lee
"I think there's actually like a pretty strong case for us to make that we will actually end up distributing better than OpenAI and you could probably bet on us at like what like a 30,000x discount." - Roy Lee
🔬 How Did 20-30 Failed Versions Lead to the Perfect Interface?
The Iterative Discovery of Translucent Design
The development story behind discovering the translucent overlay through persistent experimentation with Interview Coder.
The Innovation Process:
- Daily Obsession: Roy and Neil spent every day thinking about making Interview Coder more invisible
- Multiple Iterations: 20-30 versions that didn't work before breakthrough
- Integration Necessity: Need to see both original code and AI-provided answers simultaneously
The "Magical Moment" Breakthrough:
- Translucency Discovery: Overlay solution that felt natural and integrated
- Market Expansion Realization: Why limit to coding interviews when this works for everything?
- Universal Application: Recognition that all AI should feel seamlessly integrated
The Small Market Problem:
Coding interviews were too narrow a focus when the translucent interface could serve unlimited use cases.
"We literally spent every day thinking about how can you make interview coder more invisible to interviews... eventually we just landed on translucency and this was like wow this is like a magical moment." - Roy Lee
"Why are we only thinking about coding interviews... this is such a small market... this is true for everything." - Roy Lee
💎 Key Insights
Essential Insights:
- Distribution-Driven Development - Strong viral distribution provides better product direction than traditional market research through real user behavior data
- Viral Fit Beats Market Fit Testing - Algorithm metrics offer faster, more accurate validation than conventional product-market fit processes
- Interface Innovation Through Iteration - Breakthrough UX design often requires extensive experimentation, but the right interface can define entire categories
Actionable Insights:
- Test product concepts through viral content before full development to validate demand
- Use social media algorithm feedback as rapid product validation system
- Focus on seamless AI integration rather than separate application interfaces
📚 References
People Mentioned:
- Neil - Roy's co-founder who worked on developing the translucent overlay interface
- Erik - Discovered to have attended University of Michigan and studied Philosophy, Policy and Economics through Cluely
Companies & Products:
- Interview Coder - Original weekend project that evolved into Cluely, tool for cheating on technical interviews
- Cluely - Current AI startup with translucent overlay interface, achieved billion+ views
- OpenAI - Major AI incumbent that Roy sees as primary competition for distribution
- Apple - Referenced for "liquid glass" translucent interface design philosophy
Technologies & Tools:
- Translucent Overlay - Revolutionary AI interface that integrates seamlessly with existing applications
- AI Overlay Technology - Invisible AI assistance that works across any application or context
- Social Media Algorithms - Systems used for rapid product validation through viral content testing
Concepts & Frameworks:
- Viral Fit - Roy's concept of testing product viability through viral content performance rather than traditional market research
- Distribution-First Development - Building strategy around viral distribution capabilities rather than product-first approach
- Land Grab Mentality - Competitive strategy of rapidly establishing market presence before incumbents respond
- Minimum Viable Product Redefinition - Using viral content to test concepts before building full functionality
- Algorithm-Driven Validation - Using social media metrics for real-time product strategy feedback
🚀 Why Does Pre-Launch Hype Beat Launching Early and Fast?
The Strategic Value of Building Anticipation
Roy explains how massive pre-launch distribution creates better product certainty and market positioning than traditional early launch strategies.
The Pre-Launch Distribution Strategy:
- Hype Amplification: Every non-product video builds anticipation for eventual product launch
- Audience Education: Millions of people already know "Cluely is the invisible AI that sees your screen and hears your audio"
- Market Positioning: First-mover advantage in defining the AI overlay category
The Paradox of "Too Early" Criticism:
- Timeline Reality: First code written 10 weeks ago, generating more revenue than entire YC batches
- Pre-Launch Benefits: Knowing exactly what product to build with maximum certainty
- Market Readiness: When product launches, audience already primed and waiting
The Distribution Certainty Advantage:
Massive pre-launch distribution eliminates guesswork about product-market fit.
"The huge benefit of being like massively distributing pre-launch is that you will know what product to build with as much certainty as you could possibly get." - Roy Lee
"We've been screaming from the top of our lungs since day one like before day one even... like everyone knows this and as soon as we launch it like who else will they download." - Roy Lee
📺 How Has Content Democratization Killed Traditional Professionalism?
The Societal Shift Toward Authentic Communication
Roy identifies the fundamental changes in how audiences consume content and why corporate communication feels outdated.
The Professionalism Decline Timeline:
- YouTube Origins: First creators were authentic people making videos in dorms
- Audience Preference: People crave real content over corporate advertisements
- Democratization Impact: Authentic creators now reach millions while corporate content fails
Corporate vs. Authentic Content Performance:
- Corporate Failure: Companies with massive followings get zero engagement with boring announcements
- Authenticity Reward: Real people doing real things generate massive viewership
- Algorithm Preference: Platforms reward genuine content over polished corporate messaging
The Vision for Cluely's Distribution:
Roy envisions content that doesn't feel like advertising but genuine life storytelling.
"For the past few decades now there's just been such this sharp drop off in professionalism and I really think it's because like content creation has been democratized." - Roy Lee
"Would you rather have a world where everyone was extremely transparent and even the founders were honest... or would you rather see like bunch of corporate everywhere." - Roy Lee
🛡️ Why Is Controversial Marketing Actually Anti-Fragile?
The Hydra Effect of Viral Controversy
Erik's analysis of how Roy's controversial approach becomes stronger with each attack, creating an unstoppable momentum.
The Anti-Fragile Marketing Mechanics:
- Hydra Effect: Cut off one head, three grow back with different reactions
- Emotional Spectrum: Controversy creates mad supporters, happy supporters, and neutral observers
- Aura Accumulation: Each attack increases overall brand mystique and recognition
The "Riz Marketing" Phenomenon:
- Love-Hate Dynamic: People simultaneously admire and criticize the approach
- Idea Immortality: Even if critics could "destroy" Roy, they can't kill the marketing philosophy
- Generational Impact: This approach will influence how future companies are built
The Unstoppable Momentum:
Roy's controversial marketing creates compound effects that grow stronger with resistance.
"You're so controversial I'm going to cut off your head and three springs up because one is mad at you one is really happy about you one is neutral." - Erik Torenberg
"They can try to kill you but they can't kill the idea... like the way that you're building companies like there's something about it that is going to have an impact on on the next generation." - Erik Torenberg
⚖️ What Are the Rules for Authentic Controversial Marketing?
The Principles Behind Effective Provocative Content
Roy reveals his guidelines for controversial marketing that builds rather than destroys brand value.
The Core Rules:
- Never Punch Down: Avoid targeting people with less power or influence
- Authenticity Rewards: Algorithms reward genuine behavior more than anything else
- Selective Vulnerability: Show genuine respect and appreciation when appropriate
The Algorithm's Authenticity Detection:
- Zero Competition: No other companies are being fully honest about everything
- Founder Scarcity: Almost no founders behave authentically in public
- Elon Example: Elon Musk serves as a role model for authentic business communication
The Balance of Controversy and Respect:
Roy demonstrates authentic moments, like his genuine respect for Gary Tan, which audiences appreciate.
"Never punch down like never ever even remotely close to punch down... and I think people reward and the algorithm does like reward authenticity more than anything." - Roy Lee
"If you're honest then the algorithm will reward you because there's literally zero other company out there that is being fully honest about everything." - Roy Lee
👔 How Did Business Culture Flip from Suits to Hoodies in 40 Years?
The Complete Reversal of Professional Standards
Roy traces the dramatic transformation in workplace culture and how it reflects broader societal changes toward authenticity.
The Professional Standards Reversal:
- 40 Years Ago: Engineers wore suits and ties; hoodies were "distasteful and disgusting"
- Today: Suits are weird; hoodies and sweatpants are expected
- Desensitization Effect: Constant exposure to extreme content makes audiences crave more interesting things
The Corporate Authenticity Gap:
- Outdated Norms: Companies still cling to "brand friendly and boring" approaches
- Audience Desires: People want to see interesting, authentic content
- Platform Evolution: Instagram and TikTok reward content that traditional media wouldn't air
The Desensitization Reality:
Constant exposure to extreme short-form content creates appetite for increasingly interesting material.
"40 years ago we were way more professional than we are now... now you're weird if you come up with a suit and you're not in a hoodie and sweatpants." - Roy Lee
"There's just this lack of professionalism and again with the distribution of short form content like everyone sees the craziest things and you just get desensitized to these things." - Roy Lee
🏃 Why Are Sperm Racing and Sam Altman Both Getting More Controversial?
The Universal Trend Toward Less Professional Content
Roy demonstrates how the controversial trend spans from bizarre startups to major tech leaders, indicating a permanent cultural shift.
Examples of the Controversy Trend:
- Sperm Racing: Bizarre concept that raised massive valuation and could become legitimate sport
- Sam Altman: Discussing "how hot the guys are that GPT generates"
- Elon Musk: Making bold political takes on public platforms
The Media Evolution:
- Platform Shift: Don't need CNN anymore when Instagram and TikTok love extreme content
- Content Tolerance: Things that wouldn't air on traditional media 10 years ago now go viral
- Desensitization Effect: Audiences require increasingly extreme content for engagement
Roy's Position in the Trend:
Rather than creating the trend, Roy is pushing the existing envelope further than others are ready for.
"Nobody would have aired this on CNN 10 years ago but you don't need CNN anymore you have Instagram TikTok and Instagram TikTok they love sperm racing." - Roy Lee
"Every company is getting less and less professional... this trend is not dying anytime soon I'm just the person that is pushing the envelope perhaps a little further than the world is ready for." - Roy Lee
💎 Key Insights
Essential Insights:
- Pre-Launch Hype Beats Early Launch - Massive distribution before product completion provides better market certainty and positioning than traditional launch strategies
- Authenticity Trumps Professionalism - Content democratization has made genuine, transparent communication more valuable than polished corporate messaging
- Controversy Creates Anti-Fragile Marketing - Well-executed controversial marketing becomes stronger with each attack, generating compound engagement effects
Actionable Insights:
- Build anticipation through consistent messaging about your core value proposition before launch
- Show genuine moments of vulnerability and respect to balance controversial content
- Embrace the cultural shift toward less formal, more authentic business communication
📚 References
People Mentioned:
- Gary Tan - Y Combinator CEO whom Roy expressed genuine respect for in response to criticism
- Elon Musk - Referenced as role model for authentic business communication and controversial takes
- Sam Altman - OpenAI CEO mentioned for making controversial comments about GPT-generated content
Companies & Products:
- TBPN (The Briefing Podcast Network) - Referenced for "corporate-backed media" rebranding strategy
- Ramp - Financial tool mentioned in TBPN advertising content
- Y Combinator - Startup accelerator whose latest batch Roy claims Cluely outperforms
- Cluely - Roy's AI startup being positioned as "invisible AI that sees your screen and hears your audio"
- Sperm Racing - Bizarre startup concept that raised significant valuation despite unconventional nature
Technologies & Tools:
- YouTube - Platform that first democratized content creation with authentic creators
- Instagram - Platform that rewards extreme content traditional media wouldn't air
- TikTok - Short-form platform that loves controversial content like sperm racing
- CNN - Traditional media outlet that wouldn't have aired content now popular on social platforms
Concepts & Frameworks:
- "Riz Marketing" - Term used to describe Roy's provocative marketing approach
- Anti-Fragile Marketing - Erik's concept of controversial marketing that grows stronger with attacks
- Content Democratization - The shift from gated corporate content to accessible creator content
- Aura Farming - Building mystique and recognition through controversial positioning
- Professionalism Decline - The cultural shift from formal business communication to authentic expression
🌍 What Happens to Corporate America If Cluely Actually Wins?
The Radical Transformation Vision
Roy envisions Cluely's success catalyzing a fundamental shift in corporate culture and professional standards across America and potentially the world.
The Cultural Transformation Prediction:
- Professionalism Redefinition: Cluely's success would establish new standards for acceptable corporate behavior
- Corporate Culture Shift: Entire state of American corporate culture would transform
- Global Impact: Changes could extend beyond America to influence worldwide business practices
The Transparency Revolution:
- Brand Image Liberation: Companies would stop worrying about traditional professional constraints
- Radical Transparency: 100% honest communication becomes the new standard
- Authenticity Requirement: Businesses focus on being genuinely interesting rather than safely boring
The World Roy Envisions:
A reality where every company operates with complete transparency and does the most interesting thing possible.
"The entire state of like the corporate culture of America as a whole is going to shift and perhaps the entire world... everyone will realize like oh we've been we've had our panties up in a bunch worrying about brand image and professionalism when in reality the world craves something different." - Roy Lee
"You probably like are more interested in that that would be a much more interesting world if every company was being 100% radically transparent and doing exactly what the most interesting thing was." - Roy Lee
🔮 Why Does Roy Have "Very Strong Conviction" About His Predictions?
The Track Record of Viral Algorithm Mastery
Roy's confidence in transforming corporate culture stems from his proven ability to predict and create viral content when others couldn't see the opportunity.
The Evidence Base:
- X Platform Success: Roy was right about viral potential on X when others missed it
- Algorithm Understanding: Recognized obvious viral strategies that nobody else implemented
- Button-Pressing Courage: Willingness to try controversial approaches others avoided
The Missed Opportunity Analysis:
- Obvious Strategies: Viral videos were "so obviously designed to go viral for the algorithm"
- Collective Blindness: Nobody caught on to clear algorithmic opportunities
- Fear Factor: People unwilling to press the controversial button despite potential rewards
The Predictive Framework:
Roy's success predicting viral opportunities gives him confidence about broader cultural predictions.
"I have very strong conviction that I'm right in because I was right about X and I just I did not understand for the life of me why nobody is producing the viral videos that were so obviously designed to go viral for the algorithm." - Roy Lee
"Now that I've pressed the button once... just imagine what the world looks like if Cluely makes it." - Roy Lee
🎭 How Does "The Most Entertaining Outcome Is the Most Likely" Apply to Business?
Elon's Philosophy as Business Strategy
Roy concludes with Elon Musk's principle that entertainment value drives outcomes, suggesting this applies to corporate success.
The Entertainment-Outcome Connection:
- Attention Economics: Entertaining companies capture more mindshare and resources
- Memorable Differentiation: Boring companies blend together while entertaining ones stand out
- Algorithmic Amplification: Platforms naturally promote entertaining content over bland corporate messaging
The Strategic Implication:
- Entertainment as Strategy: Making business decisions based on entertainment value rather than traditional metrics
- Outcome Probability: More entertaining choices have higher likelihood of success
- Competitive Advantage: Entertainment becomes a business moat in attention-scarce environment
The Philosophical Foundation:
This principle serves as the underlying logic for Roy's entire approach to building Cluely.
"As Elon says the most entertaining outcome is the most likely." - Roy Lee
💎 Key Insights
Essential Insights:
- Corporate Culture Transformation Potential - Successful controversial companies can shift entire business culture standards globally
- Predictive Confidence from Viral Success - Mastering algorithmic opportunities provides credible foundation for broader cultural predictions
- Entertainment as Business Strategy - In attention economy, entertaining outcomes have higher probability of success than conventional approaches
Actionable Insights:
- Consider entertainment value as legitimate factor in business strategy decisions
- Build confidence in contrarian positions through small-scale validation successes
- Envision how your success could transform broader industry standards and culture
📚 References
People Mentioned:
- Elon Musk - Referenced for philosophy that "the most entertaining outcome is the most likely"
- Roy Lee - CEO and co-founder of Cluely sharing his vision for corporate culture transformation
- Bryan Kim - a16z partner participating in the podcast discussion
- Erik Torenberg - a16z partner and podcast host
Companies & Products:
- Cluely - Roy's AI startup positioned to potentially transform corporate culture standards
Technologies & Tools:
- Algorithm Systems - Social media algorithms that Roy mastered to predict viral content opportunities
- X (Twitter) - Platform where Roy proved his viral prediction abilities
Concepts & Frameworks:
- Corporate Culture Transformation - Roy's vision for how successful controversial companies can shift business standards
- Radical Transparency - Business approach of 100% honest communication as new corporate standard
- Entertainment-Outcome Principle - Elon Musk's philosophy that entertaining outcomes have higher probability
- Viral Algorithm Mastery - Roy's proven ability to predict and create viral content on social platforms
- Professional Standards Evolution - The ongoing shift from traditional corporate behavior to authentic expression