“you get a year free of Perplexity Pro, Notion Plus, Linear, Granola, and Superhum.”
Perplexity Pro
By Perplexity AI
5 recommend/use · 8 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“you get a year free of linear, notion, superhuman, perplexity pro, and granola”
“you get a year free of Perplexity Pro, Linear, Notion, Superhum, and Ranola.”
“you get a year free of Perplexity Pro, Superhum, Notion, Linear, and Granola.”
“you get an entire year free of perplexity Pro notion superhuman linear and granola”
“perplexity perplexity Pro nice $2,000 in value for the price of my newsletter”
“you now get a year free of notion Pro and perplexity Pro and superhuman and linear and granola”
“you now get a year free of notion and superhuman and granola and linear and perplexity Pro”
Related frameworks
Agency Over Title: The Force-Multiplier Mindset
Ignore role boundaries — use AI tools to execute your own ideas end to end
Answer the Question Behind the Question
When caught without a number, answer the adjacent question and surface the real concern.
B2C2B: Horizontal Wedge to Enterprise
Win a billion-user consumer use case first, then let personal users carry the product into their workplace.
Bridging-Based Agreement
Surface content only when people who normally disagree agree — that's the signal of truth.
Build Only Where You Can Be Best (Model Sourcing)
Build in-house only where your unique data or position lets you beat the frontier; otherwise buy
Bundling vs Unbundling Wave-Reading
Read where the market sits in the eternal bundle/unbundle cycle to decide vertical vs horizontal.
Cannibalize Your Own Product Every 6-12 Months
Make your current product look silly on a fixed cadence instead of only shipping what users ask for
CEDAF Delegation Framework
A five-part checklist for delegating without lowering your standards — to humans or AI.
Cut Scope, Not Quality
When time is short, strip features down to the core instead of shipping the same feature badly
Decompose-and-Ensemble
Break a broad problem into specific tasks, then solve each with a specialized model in an ensemble.
Delete-First Lean Engineering
On a small team, deleting code beats writing it — audit for features whose maintenance cost exceeds their gain.
Documentation vs Storytelling Safety Framework
Sort every AI-video use case into documenting reality (block) or storytelling (enable)
Eval-Driven Product Development
Design the test for your AI product alongside the product, then hill-climb the model against it.
Exposure Hours
Build taste as a trainable skill by quantifying time spent watching real people use products
Fixed Time, Variable Scope (Appetite-Based Planning)
Set the max time you'll spend first, then design a solution that fits it — instead of estimating a concept.
Framing (Setting the Boundaries)
Narrow a fuzzy request down to the specific problem worth solving before you design any solution.
Hills-and-Valleys: Getting Value From Probabilistic AI Tools
Be patient and explicit, start small, and learn where the model is strong vs weak
Internal Virality for Alignment
Get a big org aligned by making a prototype go viral inside the company instead of grinding stakeholder meetings
Irrationally Optimistic, Uncompromisingly Realistic
Push hard toward a future you believe in while killing your own hypotheses as data arrives
Learn the Tokens, Not the Depth
In the AI era, master the symbolic vocabulary of a domain rather than its exhaustive depth
Lego Brick vs Lego Box (Selling Solutions Up-Market)
Sell ready-made solution boxes to move up-market while still building composable bricks behind the scenes.
Live Shaping Session
Put product, a senior engineer, and a designer in a room to sketch and break ideas until one is clearly buildable in the appetite.
Manage Up by Sharing Your Point of View
Bring your manager a recommendation to react to, not an open question to solve.
Model Maximalism
Build at the edge of what models can barely do — the next model will make it sing.
MOO — Most Obvious Objection
Spend two minutes pre-empting the objection you'll obviously get, and stop feeling blindsided.
Nine Nos For Every Yes
Guard product quality with creative restraint — every feature you say yes to is a puppy you must care for forever
Poor Man's Fine-Tuning (Few-Shot + Role Priming)
Steer a model with in-prompt examples and a role identity instead of a full fine-tune.
Principles-First Product Design
Set non-negotiable principles up front — voice of the people, no override button, full transparency — and never bend them.
Product-First AI Prompting
Steer AI builders by describing the end-user experience ambitiously, then iterate like you're coaching a collaborator
Prove-It-At-Every-Step Rollout
Never take the next expansion step until the data from the last one has already convinced you.
Pseudonymity for Honest Contribution
Let contributors stay anonymous — people cross partisan lines far more readily when their name isn't attached.
Reason About It Like a Human
To design or debug AI behavior, ask what an equivalent human would do in the same situation.
Reset Through Better Abstractions
Don't fear throwing work away — a better abstraction compounds and recovers sunk cost fast.
Sales Then Logistics
Sell the why before you explain the how, or your ask gets crickets.
Ship-Fast Operating Model
Lightweight bottoms-up planning, PM-light teams, and iterative deployment in a fast-moving domain.
Signposting
Use structural cue-words to guide the reader through your writing without heavy formatting.
Speak Accurately (Avoid the Single-Minded Martyr)
Match your stated confidence to your actual evidence — neither overreach nor over-hedge.
Strategic Technical Debt as Leverage
Startups should take on technical debt on purpose — it's how you outrun bigger companies
Strategy Not Self-Expression
Feedback's goal is behavior change, so cut everything that doesn't serve it — usually 90%.
Systems Over Headcount (The Small Bus)
Solve with better systems and talent density instead of adding people; a smaller bus turns faster.
The Broccoli-Inside-Sugar Product Strategy
Hide your ambitious vision inside a form factor people already want and use daily.
The Circuit Breaker (Back to Shaping)
When a project overruns its appetite, don't extend it or gut the agreed value — pull it back into shaping mode.
The Dehydrated Company Hiring Model
Only hire when a function is underwater, so headcount forces ruthless prioritization
The Detail Dial
Calibrate how prescriptive a shaped plan is to the builder's seniority — more detail lifts juniors, less frees seniors.
The Escape Hatch Principle
Abstractions should let power users drop to raw control when the model doesn't fit their problem
The In-Product Feedback Loop
Stream user reactions straight into your team's consciousness by building feedback into the product itself
The Nine-Scopes Kickoff
At kickoff, have the builders translate the shaped idea into nine-or-fewer implementation chunks to test scope and build clarity.
The Public and Secret Roadmap
Split your roadmap into what users ask for and what only you can see — the wins come from the second
The Swipe File
Capture examples of communication that work — the act of collecting trains your eye.
The Thermal Team
Run a startup inside the company: one owner, one senior sponsor, total focus, self-set pace.
The Weekly Marketable Feature
Every engineer ships one feature per week that a user would pay or show up just for
Vertical AI Opportunity Finder
Build where the winning data is locked behind a company or industry's walls — foundation models won't go there.
People in these episodes
Related resources
- 37signals
- ActionKit
- Airbnb
- Airtable Product Central
- Airtable ProductCentral
- Alexa
- altMBA
- Amazon
- Anthropic
- Apple Podcasts
- Aviation Edge
- AWS
- Basecamp
- BBC
- Birdwatch
- Black Product Managers Network
- Bolt
- Brex
- Cable Cowboy
- Captions
- ChatGPT
- ChatPRD
- Cinch
- Claude
- Claude 3.5 Sonnet
- Co-Intelligence
- Coda
- Codeium
- Community Notes
- Competing Against Luck
- Connections
- Cursor
- DeepSeek
- Demand-Side Sales 101
- Devin
- Eclipse
- Emacs
- Eppo
- Fall in Love with the Problem, Not the Solution
- Figma
- FlightRadar
- Fortune
- Gemini
- getGC.ai
- GitHub
- GitHub Copilot
- Glengarry Glen Ross
- Google Calendar
- Google Docs
- GPT-4o
- Granola
- Grok
- Hacker News
- Harvey
- High Output Management
- HubSpot
- Instagram Stories
- Invisalign
- iPhone
- Iron Man
- Japan
- JavaScript
- Jira
- JPMorgan Chase
- Julia
- Khan Academy
- Leaflet
- LEGO
- Lenny's Newsletter
- Lenny's Podcast
- Libra
- Linear
- LinkedIn Ads
- Lovable
- Luma AI
- Macintosh
- Magna-Tiles
- Mapbox
- Matrix factorization
- Maven
- Merge
- Messenger
- Meta
- Microsoft
- Midjourney
- MIT
- MongoDB
- Netflix
- Next.js
- Notion
- Notion Plus
- Nvidia
- On Writing
- On Writing Well
- OneSchema
- OneSchema FileFeeds
- OpenAI
- OpenAI API
- Operator
- Oral-B electric toothbrush
- PageRank
- Paragon
- Periscope
- Persona
- PostgreSQL
- Ramp
- Ratatouille
- React
- Replit
- Rich Communication Services
- Ruby
- Salesforce
- San Francisco
- Several Short Sentences About Writing
- Severance
- shadcn/ui
- Shape Up
- Silo
- Silo series
- Slack
- Snap Inc.
- Snapchat
- Sora
- SpongeBob SquarePants
- Spotify
- Star Wars
- Strava
- Stripe
- Super Bowl
- Superhuman
- The Accidental Superpower
- The Harlan Coben Collection
- The Simpsons
- The Wheel of Time
- TikTok
- Top Gun: Maverick
- Uber
- UC Berkeley
- v0
- Vanta
- Vercel
- Vim
- Visual Studio
- Visual Studio Code
- Warrant
- Waymo
- Web Components
- weskao.com
- Windsurf
- WorkOS
- X
- Your Brain at Work
- YouTube
- Zanzibar
Spot an error or want this page removed? Request a correction or removal.