“I had a great conversation with the founders of Discord”
Discord
By Discord Inc.
14 recommend/use · 23 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“this guy Eros Resmini who was the the CMO of Discord”
“It runs on discord so it's nothing fancy. It's not like we build anything completely from scratch for ourselves.”
“every office hours, every Discord chat, any blogs, papers, anything that we've ever said publicly and within our course”
“ship a Google form to Discord with like I think the four questions you're supposed to ask”
“at some point we turn to like more scalable solutions like Discord, Reddit.”
“we have a Discord where you can share like oh this is how I use loveable”
“It's kind of like Midjourney and like this Discord.”
“from the beginning I was like Hey I want to have a Discord”
“Discord join our Discord”
“his product had a Discord Channel and he took the transcript from the Discord Channel”
“I cannot live without Discord. It is one of the products that I use for hours and hours every single day.”
“a Discord community of 2500 traders to discuss your ideas”
“they could be select communities Discord places that you know Founders choose to connect with other Founders”
“Discord feels like that was the big threat and now Microsoft teams obviously”
“how many great communities have slack channels or Discord channels or you know Zoom calls”
“You think about the early Midjourney user interface inside the Discord channel”
“its UI is Discord. They drop you into Discord”
“I've spent time with Discord and toast”
“get to know each other on like an offline Discord Community”
“that was mostly on Discord Zoom Air table”
“the article itself has an example which I won't go through now of slack versus Discord”
“come together in like a Discord Channel they meet uh regularly and are helping us evangelize”
“where they managed communities Twitter Facebook Instagram Discord YouTube”
Related frameworks
Alpha Co-Creation Loop
Pick the users who are already pushing the boundary, build with them in a shared channel, ship only when they're thrilled.
Assemble Spikes, Not Well-Rounded People
Hire sharp, complementary spikes instead of developing everyone into generalists
Autonomy at the VP Level
Place decision autonomy at the VP layer — not the leaves, not the top — to maximize thinking without producing chaos.
Barrels-and-Ammunition Team Design
Staff each team from the gap, not from a fixed PM/EM/designer template
Biggest-Bottleneck Prioritization
Solve the single biggest problem, then pick the next — don't dream up a long roadmap.
Build for Day 365 Retention
The most valuable companies have the highest one-year retention — engineer for it using early social signals
Build for the Future Model
Design product ideas for the model capability that is coming, not the one you have today
Build It Wrong Before You Know It's Right
Use AI to test a hundred ideas a day as a failure machine, not to polish one idea for three months
Capability-Value-Scale Software Maturity
New software passes through three stages — what's possible, then what's valuable, then what scales
Centralized vs. Decentralized Org Choice
Pick your org model from your product strategy: speed (Amazon) or unified experience (Apple), and accept its cost.
Champions at Scale: Manual-to-Machine Word-of-Mouth Engine
Over-invest by hand in early product champions, learn their patterns, then productize those patterns into scalable content.
Community-Led Growth: Equip the Champion
The salesperson is the designer inside the company — your job is to make them a superhero.
Complaint Storms
A team ritual to see your own product with fresh, critical eyes — by first ripping apart someone else's.
Core-Behavior Synthetic Training
Ship an AI feature by naming its 3-4 core behaviors and teaching them with model-generated data
Credits-for-Sharing Loop
Pay users in product credits to publicly share what they built — turn usage into free distribution.
Deal Speed and Default Optimism
Codify the values you already have, not the ones you wish you had.
Design For Tomorrow's Majority, Not The Vocal Minority
Optimize for the far larger future user base, then manage the unhappy few with authentic listening.
Differentiate Above The Model, Not Around Its Gaps
Build your moat outside the LLM so your product gets better as the models get better.
Draft-First LLM Augmentation
Never ask the model to do your job — write your version first, then have it improve it.
Earn The Next Role By Driving Impact In This One
Stop eyeing the next promotion; be judged on impact delivered in the job you already hold.
Elevate a Profession, Not a Category
Instead of creating a software category, make a job into a meaningful identity people will fight for.
Error Analysis: Open Coding to Axial Coding to Count
Turn messy LLM logs into a prioritized list of failures before you write a single test.
Eval-First AI Product Development
Define what 'correct' looks like as evals first; the spec becomes the scorecard, not the build instructions
Evals as Articulating Success
An eval is just a clear spec of ideal behavior — the shared language of AI product work
Eval Triage: Decide What Actually Deserves an Eval
After counting failures, route each one to a prompt fix, a code check, or an LLM judge — not all three.
Explain-It-to-Prove-You-Understand-It
Force yourself and others to explain decisions; if you can't articulate it, you probably don't understand it.
Exponential Bet Allocation
If AI is your core value, shift the growth portfolio from micro-optimizations to large bets
Exponential Feedback via the Competency Lens
Give feedback on root-cause behaviors, not surface symptoms, so it compounds — use a competency rubric as the diagnostic lens.
Fake the AI Before You Build It
Never train a model for an MVP — prototype the AI's output and test demand first.
Fault-Tolerant User Interfaces
Design your UI to match the real hit-rate of your machine learning, not a fantasy of 100% accuracy.
Find the Cocktail Party
To reinvent social, find where the cocktail party wants to happen and make it rowdy and socially productive
Follow People, Not Plans
Choose jobs by who you'll learn from, not by a five-year plan or a financial bet.
Format Malleability: Any Input, Any Output
Stop shipping content in one format — give people the power to remix knowledge into the medium they're in the mood for
Friction Logging
Adopt a specific user's identity, walk your own product end-to-end, and log every point of friction.
Frontier of Understanding (Goal by Risk Type)
Before committing to an outcome goal, set the goal at the true edge of what your team knows — understanding, dependency, execution, or strategic risk.
Generalist-With-A-Superpower Hiring
Hire people who care obsessively, have a generalist brain, and one absolute superpower — then trial them for a week.
Genius-Zone Time Budget
Spend at least 50% of your time on the work you're both great at and love — it's what keeps you showing up.
Give-It-Away Growth Engine
Reclassify free product and AI costs as marketing spend, then give the product away to your best distributors
Group UX Review and Walking the Store
Taste the soup together — experience the product as a group, log issues live, then debate each one.
Hire for Autonomy: References, Real Work, and Default Trust
You'll be in none of the decisions that matter — so hire people you can hand autonomy to, and verify via references.
Hire for Clarity-from-Chaos
Screen for fire-in-the-belly, high agency, and the ability to create clarity out of chaos — proven by work trials
Hypothesis-Based Coaching (Explorer, Not Lecturer)
Coach by exploring a well-informed hunch with someone, not lecturing them from data
Impact Above All Else: The Two-Question Priority Loop
Two daily questions, driver-mapping, and back-of-envelope math before any project earns your time
Inquiry Over Advocacy
Dial up questions, dial down your case — then check if you still disagree
Internal Tools as a Product (The Crying Octopus)
Run your dev-productivity team like a product team: monthly surveys, hard metrics, and one-click paper cuts.
Kill Hope Before Hope Kills You
Separate belief from hope, and refuse to launch until you're collecting winnings instead of making bets
Latency Over Velocity: Conviction-Based Startup Decisions
A startup's edge isn't speed — it's a tight turning radius; swap experiment-driven decisions for informed conviction.
Laughably Small MVP Under High Stakes
Ship the smallest possible thing even for high-stakes problems — it delivers impact and reveals what to actually build.
Lean Into Your Spike
In the AI era, double down on your unfair advantage and stack disciplines to become a unicorn
Legibility, Actionability, Authenticity
Three tests any goal must pass, regardless of whether you call it an OKR.
Let Fires Burn (with Three Never-Burn Exceptions)
Agree which problems you let burn this week — and the three that never can
Little Hands Growth Hiring
Hire on the KPI they'll commit to and their willingness to do the tiniest job.
LLM-Optimized Codebase Architecture
Structure your repo so the AI writes the least code possible — infrastructure absorbs the complexity.
Long-Tail Paid Diversification
After the big four ad platforms, buy the dozens of small ones nobody bothers to set up.
Maintain Noise in the Market
Ship every day and talk about it constantly so the product feels alive — with tiered big launches on top
Make Everyone a CEO
Give people a real hill to take with operating control so they do the right thing when you're not in the room
Make the Implicit Explicit (Meetings and Decisions)
Force every meeting and decision to declare its purpose, owner, and method out loud
Manufactured Chaos: The Artificial Time Constraint
When things feel too calm, inject an absurd deadline to force intuition and creative leaps
Manufactured Dogfooding
Invent internal reasons for every function to live in your product — quality follows hours logged.
Milestone-Gated Launch Sequence
Don't spend a dollar on marketing until users start sharing your product unprompted.
Minimum Lovable Product
Viability is no longer enough — the bar is a product people love and want to talk about
Minimum Lovable Product Ladder
Replace the MVP with a three-rung ladder: minimum lovable, lovable, absolutely lovable.
Negotiate From Genuine Indifference
The best position to sell your company is being genuinely fine not selling it.
Onboarding as a Retention Lever
Treat onboarding as a habit-and-retention engine, not a conversion funnel — and accept lower conversion to weed out the wrong users.
One-Week Top-1% AI Fluency Sprint
Pick a real problem and spend one full week taking it end-to-end with AI — that alone puts you in the global top 1%.
Opinionated Defaults for Onboarding
Encode what you've learned works into product defaults — make the right choice easy and the wrong choice hard, without removing choice.
Painter, Architect, Surgeon Hiring Archetypes
Match your growth hire to your stage — a versatile painter, a structural architect, or a precision surgeon.
Payback-First Channel Measurement
Judge channels on closed-won revenue one year out, never on lead volume.
Personal Operating Principles Discovery
Derive how you lead by forcing your values down to three, then plotting your work style
Pick a Lane and Write the Story
Master one of the five product ambiguities early, then write the paragraph your next employer needs to hear.
PMF for Candidates (People, Mission, Financials)
Evaluate a company you might join like an investor evaluates a deal — across People, Mission, and Financials.
Poke the Bear
Never self-censor — but poke only after the homework, and only with data
PR and Launch Strategy: Credibility Over Leads
Treat PR as a credibility asset for hiring and cold outbound, and replace one big launch with a cadence of launches.
Precision Prompting for AI Builders
Never tell the AI 'it doesn't work' — state exactly what you expected and which parts do and don't.
Principles for Building Trustworthy AI Products
Match UI confidence to data quality, be transparent about sources, and design virtuous data cycles.
Product-First, Add-AI-Later
Design the end-to-end product experience first, then add AI to solve specific problems — never retrofit AI into a broken flow.
Prompting-as-Prototyping
Validate a product idea by prompting a model in a local browser before building anything
Proven Better New
Master the proven, add a verifiable better, gamble one risky new — to stack the odds a product wins
Punch Above Your Weight: Trust Signaling for Small Startups
Use small, cheap signals of polish and legitimacy so large customers trust a tiny company with big contracts.
Question-First Cheap Channel Playbook
Find where your buyers ask their questions, answer them honestly, and let the answer sell.
Read Before You Retract: AI Incident Triage
When your AI product goes viral for something alarming, diagnose the audience's reaction before you touch the product
Recall vs. Discovery Interface Split
Match interface density to user intent: dense grids for recall, low-density sound-rich feeds for discovery.
Re-establishing Product-Market Fit (Stacking S-Curves)
When growth plateaus, throw away the roadmap, sacrifice impact for learning, and rebuild PMF for the next audience.
Run Toward the Hard Use Cases
Don't disable high-stakes uses to avoid downside — engineer them to be great
Ruthless Simplification for PM Writing
A set of concrete tools to strip PM documents down to only what's necessary.
Say the Thing You Think You Cannot Say
Voice the hard observation by detoxifying it into a question you own
Scalable Leadership vs. Selective Micromanagement
When you lack confidence in your team's direction, don't go hands-off — micromanage tactically and temporarily to get them back on track.
Separating Change-Aversion from Real Problems in a Redesign
After a redesign, split 'upset because it changed' from 'upset because it's worse' before you react.
Shadows of Superpowers
Your plateau is almost always the shadow cast by the exact strength that got you here.
Ship Fast Without Breaking Money
Reject the reliability/velocity trade-off: automated gauntlet, ramped exposure, and remediations ahead of roadmap.
Ship-to-Learn: The Emergent-Product Loop
When product properties are emergent, launching is how you discover them
Single-Channel Build-in-Public Bet
Find the one channel that resonates with your exact audience, then double and triple down.
Skeleton Before the Makeup
Sequence early growth investment from site fundamentals up to awareness — never the reverse.
Speed-to-Aha Over Best Product
Sometimes the correct product decision hurts the aha moment — cut it and get users to magic faster.
Start Embarrassingly Small
The more ambitious you are, the humbler your starting point should be — begin at 1,000 feet, not 100,000
Start-With-Why One-Pager
The PM's core artifact: define the thing by nailing the problem and why-now before anything else.
Stay Close to the Metal
The best product CEOs micromanage the pixel-level details and are the first and last mile of the product
Strategic Friction
Add friction that helps a user understand why the product is for them; cut friction that doesn't
Stuck-Point Scaling Law
Reliably improve an AI system by hunting where it gets stuck and tuning those spots with a fast feedback loop.
Synthesis-to-Meme Storytelling
Turn scattered inputs into one distilled idea leaders can repeat from memory in a meeting.
Systematic Customer Conversations
Build a lightweight, repeatable system to talk to customers by phone on a regular cadence.
Teaching Hospital and Tech Assistant
Transfer your product instincts by working in the open and cloning a shadow who becomes a mini-you
Technology-First Discovery with a Shape Hypothesis
When you start from a capability instead of a problem, form a hypothesis about its shape before you ship it
The 10 Traits of Great Product Managers
A definition of what the PM job actually is — facilitation, execution, and impact — not a career ladder.
The 12 Product Management Competencies
Map every PM skill into four areas — execution, customer insight, product strategy, influence — and 12 competencies that hold from APM to CPO.
The 95/5 Growth Inversion
In fast-moving AI markets, spend 95% inventing new growth loops and 5% optimizing existing ones
The Adjacent-Precedent De-Risk Pitch
Win leadership buy-in for a big AI bet by anchoring it to a past bet that already worked.
The AI PM Upskilling Path
Learn the fundamentals, shadow a research scientist an hour a week, and build one model end to end.
The Aligned Binary LLM-as-Judge
Build a one-failure, pass/fail judge and align it to a human with a confusion matrix before you trust it.
The Anti-Sell: Hiring by Describing the Worst Day
Tell candidates the worst day at your company in full detail — then ask if they still want to join
The Automatable Growth Loop (CACHE)
Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment
The Balanced Feedback Portfolio
Treat every feedback channel as a biased sensor, then hold a portfolio so you have no blind spots.
The Benevolent Dictator Labeling Model
Appoint one trusted domain expert to own eval judgments instead of running it by committee.
The Company Operating System (House Metaphor)
Build a company like a house: founding documents, operating system, and operating cadence
The Compelled-to-Work-on-It PM Interview
Hire PMs by testing whether their story makes YOU want to go work on their boring old problem.
The Conversion-Funnel Cold Email
Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately
The Data-Driven Red Flag
When someone brags about being 'data-driven,' suspect weak product judgment, not strong analytics.
The Diversified Roadmap Portfolio
Treat a product roadmap like an investment portfolio, balanced across three axes of risk and intent.
The Engineer-cation
Leaders clear 3-4 days, join a team as an IC, ship one small feature to production, and log the friction.
The Ex-Growth Company Test
Two questions that tell you whether your well-funded employer is quietly a dead-equity trap.
The Four Challenges of AI Product Management
Uncertainty, pivots, data scarcity and a broken promo path — the four taxes of the AI PM role.
The Four Reasons You're Not Getting Promoted
A diagnostic that separates 'the system can't promote you' from 'you're not ready' — because the fix differs.
The Ground-Truth Feedback Loop
Formal feedback is noise. Pull the real signal, prove you heard it, and publicly reward whoever gave it.
The Growth Competency Model
Four competency buckets for hiring, evaluating, and balancing a growth team without chasing a unicorn.
The Inverted W Planning Process
Teams propose, leaders synthesise, teams adjust, leaders resynthesise, orgs distribute with context.
The 'Is The Search Over?' Content Standard
Judge every article by one question: after reading it, does the reader go back to Google?
The Landscape-First Product Strategy Doc
A bullet-driven Google Doc that builds an unbroken logic chain from company mission down to a single team priority.
The Magic Test for Control Surfaces
Users ask for knobs and sliders; shipping them literally is how a magical product becomes an ordinary one
The Maximally Accelerated Question
A forcing question that separates critical path from what can wait
The Meeting Operating System
Version your team's meetings like a product — ship a new rev every 90 days.
The Model Launch Bar
With probabilistic products, the PM — not the scientist — decides what accuracy is good enough to ship.
The Person Is the Product
Find one person with an extraordinary workflow, shadow them, then compress their expertise into software
The Pilot Program for De-Risking Launches
Build a diverse champion network of real customers to test new features in the wild before you ever launch.
The PM-Engineering Alignment Operating System
Run product and engineering as one leadership unit with clear ownership and async, iterated reviews.
The PM Owns the Why
Don't spec the what — distribute the why so hundreds of local decisions come out right.
The Product-Market Fit Treadmill
In AI, you must recapture product-market fit every three months as both product and market shift under you
The Product Strategy Stack
Separate mission, strategy, product strategy, roadmap, and goals into five layers you can define top-down and debug bottom-up.
The Scheduled AI Chief of Staff
Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly
The Serenity Prayer and the Discard Bucket
Two rituals for perfectionists: the Serenity Prayer, and a bucket you cannot un-bin
The Shiny Object Trap (Problem-First AI)
A regular PM ships the right product; an AI PM solves the right problem.
The Sidecar Model of Management
You don't take the wheel or hand it over — you ride attached, and you have to be invited in first.
The Skip: Career as a Product
Plan for the job after next, not the next job — and treat promotion as a means, not the goal.
The Strategy-Isn't-Done-Without-Wireframes Rule
Treat a strategy doc like a house blueprint: it isn't complete until wireframes show what the product looks like when the strategy is built.
The Three Acts and the Next North Star
The greyhound that catches the rabbit never runs again — pick your second North Star before you catch the first.
The Three Threads of Great PMs
The three durable behaviors that separate great product managers from good ones, in any company type.
The Traffic Light Keyword System
Rank every keyword by buying intent, not volume — then work greens down before touching yellows.
The Trusted-Advisor Partner Test
Shared audience is not enough — partner only where your buyer already goes for this specific advice.
The Two-Bucket Controversial-Test Triage
Sort every risky experiment into a red-line 'never run' bucket or a 'run it if the return justifies the cringe' bucket
The Two-Week Deputization Rule
Under two engineering weeks, the engineer is the PM; over two weeks, the PM owns it
The U-Curve of Founder Involvement
Involve a product-minded founder heavily at the start and end of a project, but give the team space to run in the middle.
The Zero-to-One Enclave
Conditions that let a startup-shaped team actually ship inside a big company
Think It, Build It, Ship It, Tweak It
Four product phases where spend rises stage by stage — so you must retire risk before the money starts.
Three-Model Triangulation
Apply three different mental models to a problem; agreement across them sharply raises your odds of being right.
Throwaway Prototyping To Discover The Product
Build disposable prototypes on real data to feel what works before writing any production code.
Treat Your Course Like a Product
Hypothesise the audience, interview them, iterate the ICP, and run three weeks — not one.
Tuning Your Operating Cadence
Set review rhythm by two signals: too fast if no progress, too slow if content is stale
Two-Mode Prioritization for AI Products
Prioritize backward from model magic AND forward from customer needs
Use AI As Leverage On Your PM Time
Assign the model a role, feed it more context than you could read, and iterate the prompt until it works.
People in these episodes
- Adam Fishman
- Amol Avasare
- Anton Osika
- Claire Hughes Johnson
- David Singleton
- Elena Verna
- Gustav Söderström
- Hamel Husain
- Karina Nguyen
- Lenny Rachitsky
- Maggie Crowley
- Maor Shlomo
- Marily Nika
- Mark Pincus
- Meltem Kuran Berkowitz
- Nick Turley
- Nikhyl Singhal
- Noah Weiss
- Raiza Martin
- Ravi Mehta
- Shreya Shankar
- Tamar Yehoshua
- Vlad Loktev
- Yuhki Yamashita
- Zoelle Egner
Related resources
- A Fire Upon the Deep
- Adjacent User Theory
- Adobe
- Adobe After Effects
- Adobe Illustrator
- Adobe Photoshop
- AI Evals for Engineers and Product Managers
- Airbnb
- Airtable
- Alexa
- Alignment Scale
- Amazon
- Amazon Web Services
- Amp It Up
- Amplitude
- Ancillary Justice
- Andor
- Andrej Karpathy's YouTube channel
- Anthropic
- Apple
- Apple in China
- Apple Pay
- Apple Podcasts
- Apple Store
- Arc Browser
- arXiv
- Asana
- AssemblyAI
- Atlassian
- AutoML
- Awareness
- AWS
- Balsamiq
- Base44
- Ben's Bites
- BeReal
- Beso Chocolate
- Block Party
- Bolt
- Box
- Boz's podcast
- Braintrust
- Brex
- Build
- Burning Man
- Calm
- Cameo
- Campfire
- CareerFoundry
- Cash App
- Character.AI
- ChatGPT
- ChatGPT Plus
- ChatPRD
- Chrome extension for Claude
- Claude
- Claude Artifacts
- Claude Code
- Claude Cowork
- Claude Opus 4
- Claude Opus 4.5
- Claude Opus 4.6
- Clay
- Clearscope
- ClickUp
- Cloudflare
- Coda
- Codex
- Coding Dojo
- Composer
- Computing Taste
- Conductor
- Conscious Business
- Contentsquare
- Coursera
- Craigslist
- Credit Karma
- Crossing the Chasm
- Cursor
- DALL-E
- Datadog
- Deel
- Descript
- DISC assessment
- Discover Weekly
- Disney
- Dolores Park
- Dovetail
- DraftKings
- Dreamforce
- Drift
- Dropbox
- Dropbox Paper
- dscout
- Duolingo
- Eco
- Elena Verna's Newsletter
- ElevenLabs
- Enneagram
- Enterpret
- Eppo
- Everything Everywhere All at Once
- Everything Marketplaces
- Excel
- Explo
- Extraordinary Attorney Woo
- Facebook Ads
- Faire
- FarmVille
- FigJam
- Figma
- Fin
- Flatfile
- Foundation
- Foursquare
- Frozen
- Future
- Gainsight
- Gartner
- Gastropod
- Gemini
- Gemini 3
- General Assembly
- GitHub
- GitHub Copilot
- GitHub Enterprise
- Glean
- Gmail
- Gobblet Gobblers
- Gödel's Proof
- Gong
- Google AdWords
- Google Chrome
- Google Cloud
- Google Docs
- Google Forms
- Google Glass
- Google Hangouts
- Google I/O
- Google Maps
- Google Meet
- Google Photos
- Google Search
- Google Sheets
- GPQA
- GPT
- GPT Engineer
- GPT-3
- GPT-4
- GPT-4o
- GPT-5
- GPTs
- Granola
- Hacker News
- Halt and Catch Fire
- Harvard Business School
- Harvard University
- Healthy Sleep Habits, Happy Child
- Helgoland
- Her
- Hex
- High Growth Handbook
- High Output Management
- Hinge
- HipChat
- Hotmail
- How Figma Builds Product
- How to Talk So Kids Will Listen & Listen So Kids Will Talk
- How Will You Measure Your Life?
- HowAboutWe
- HubSpot
- Ignition
- IKEA
- Index Ventures
- Indie Hackers
- Inspired
- Instacart
- Instant Book
- Internet Explorer
- Introduction to Artificial Intelligence
- iPhone
- iPod
- JavaScript
- Jira
- Julius AI
- Jupyter Notebook
- Kindle
- Ladder
- LaunchDarkly
- Leadership and Self-Deception
- Leadership in Turbulent Times
- Lenny's Jobs
- Lenny's Newsletter
- Lenny's Newsletter Community
- Lenny's Podcast
- Lenny's Podcast website
- Lenny's Product Pass
- Lennybot
- Lensa
- Life at the Speed of Play
- Linear
- Link
- Listen
- LMNT
- Localmind
- Loom
- Lovable
- Lyft
- Machine Learning
- Magpie Murders
- Marginal Revolution
- Marty Supreme
- Maruhachi Pro Pillow
- MasterClass
- Maven
- Mercury
- Merge
- Meta
- Microsoft
- Microsoft Clarity
- Microsoft Copilot
- Microsoft Excel
- Microsoft Teams
- Microsoft Windows
- Midjourney
- Miro
- MKT1 Newsletter
- MongoDB
- Myers-Briggs Type Indicator
- MySpace
- Nanit
- Napster
- Netflix
- Netscape Navigator
- No Priors
- Nobody Wants to Read Your Sh*t
- NotebookLM
- Notion
- Nurture Boss
- NuStrips
- o3
- Olympic Games
- On Writing
- On Writing Well
- OneSchema
- OpenAI
- OpenAI o1
- Operator
- Oppenheimer
- Oracle
- Orkes
- Pando
- Patreon
- PayPal
- Pendo
- Persona
- Phoenix
- PostHog
- Product Hunt
- Product Pass
- Productroadmap.com
- Proven Better New
- Pump Log
- Python
- Radical Candor
- Ramp
- Readwise
- Red Rising
- Reforge
- Render
- Replit
- RescueTime
- Retool
- Rise
- Rise of Nations
- Riverside
- Ruby
- Salesforce
- SAP
- Sauce
- Scale AI
- Scaling People
- Serenity Prayer
- ServiceNow
- Seven Powers
- Several Short Sentences About Writing
- Severance
- She Builds
- Sidebar
- Silicon Valley
- Silo
- Silo series
- Siri
- Slack
- Slack Clips
- Slack Huddles
- Slack MCP
- Slow Horses
- Smithsonian Institution
- Snapchat
- SNOO
- Snowflake
- Snyk
- Something Deeply Hidden
- Sony
- SPADE framework
- Spirit Rock Meditation Center
- Spotify
- Sprig
- Square
- Squarespace
- Stable Diffusion
- Stack Overflow
- Stanford University
- Star Wars
- Statsig
- Stockholm
- Stranger Things
- Stripe
- Stripe Atlas
- Stripe Billing
- Stripe Connect
- Stripe Sessions
- Substack
- Succession
- Superhuman
- Survivor
- Sweden
- Switch
- Switch: How to Change Things When Change Is Hard
- TBH
- Team of Rivals
- TED Conference
- The Atlantic
- The Beginning of Infinity
- The Case Against Reality
- The Cognitive Revolution
- The Complete Investor
- The Demon in the Machine
- The Design of Everyday Things
- The Download
- The Everything Store
- The Ezra Klein Show
- The Fabric of Reality
- The Good Nurse
- The Happiness Lab
- The Innovator's Solution
- The Joy of Living
- The Last of Us
- The Mystery of the Aleph
- The Neuron
- The New York Times
- The Presentation Secrets of Steve Jobs
- The Pyramid Principle
- The Skip
- The Story of the Stone
- The Summer I Turned Pretty
- The War of Art
- The White Lotus
- The Wire
- Thinking in Bets
- Threads
- Thumbtack
- TikTok
- Tinder
- TLDR
- Toast
- Tripadvisor
- Tuple
- Twitch
- TypeScript
- Uber
- UPPAbaby
- v0
- VaccinateCA
- Van Westendorp Price Sensitivity Meter
- Vanta
- Vercel
- Visual Studio Code
- Waymo
- Webflow
- Westworld
- WeWork
- Wikipedia
- Wisdom
- Wispr Flow
- Wix
- Words With Friends
- Workday
- Working Backwards
- WorkOS
- X
- Y Combinator
- Yahoo
- You Look Like a Thing and I Love You
- YouTube
- Zapier
- Zoom
- Zuora
- Zynga
Spot an error or want this page removed? Request a correction or removal.