“don't forget to check out Lenny's product pass.com”
Lenny's Product Pass
By Lenny Rachitsky
7 recommend/use · 10 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“don't forget to check out Lenny's Product Pass .com for a year free of the hottest and most well-crafted AI products”
“don't forget to check out Lenny's product pass.com for an insane set of deals available exclusively to Lenny's newsletter subscribers.”
“don't forget to check out Lenny's product pass.com for an incredible set of deals available exclusively to Lenny's newsletter subscribers”
“don't forget to check out Lenny's Product Pass.com for an incredible set of deals available exclusively to Lenny's newsletter subscribers.”
“don't forget to check out Lenny's Product Pass .com for an incredible set of deals”
“Don't forget to check out Lenny's product-pass.com for an incredible set of deals”
“I have this product pass. So as a subscriber to my newsletter, you get 23 incredible products.”
“Don't forget to check out Lenny's Product Pass dot com for an incredible set of deals available exclusively to Lenny's newsletter subscribers.”
“Head on over to lennisnewsletter.com and click product pass.”
Related frameworks
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Boundaries Are What You Will Do
A real boundary is something you will do that requires the other person to do nothing — anything else is just a request
Build Champions Before the Offer
The negotiation starts sooner than you think — plant reciprocity and recruit coaches across the org
Builder vs. Information Mover
Diagnose which half of your role AI kills and which half it supercharges.
Build for the Current Model, Prototype for the Next
Elicit max capability from today's model while pre-building the products the next model will unlock
Build for the Model Six Months Out
Design your AI product for the model that ships in six months, not the one you have today.
Clear-Goal Ambiguity Cut
Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out
Connect Before Correcting
Join someone's reality for 30 agenda-free seconds before you ask them to do anything — connection is the bridge to cooperation
Control the Channel, Pace, and Field
Never negotiate over email; slow it down and pick the room where you win
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Deflect the Number Question
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When an agent does the wrong thing, check its context, tools, and scope — not its intelligence.
Distribution-First Moat
Solve distribution before you obsess over product-market fit; it is the harder, more durable edge.
Don't Box the Model In
Give the model tools and a goal, not a rigid workflow — scaffolding gains get wiped out by the next model.
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Listen deeply to users for hours, then build something new — never the literal feature they asked for.
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Bet your career on the thing you enjoy, are good at, and others value — even if it's not the plan.
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I Believe You + I Believe In You
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Latent Demand Mining
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Latent Demand Product Discovery
Find your next product by watching people misuse your current one for something it wasn't designed to do.
Leader Dogfooding for Product Pulse
Live and breathe your product as a real user (or meet customers) and trust the anecdote over the dashboard.
Lean Into Your Spike
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Make the End User Feel Like a Winner
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Manager-as-IC Onboarding
New managers ship as individual contributors first — and keep doing it — before and while they manage people.
Manager Visibility via an Always-On Agent
Enlist a standing AI session across all repos and channels to stay on top of 8x throughput and drive conversations.
Mission-Above-Product Prioritization
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When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix
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Treat every repeatable thing you do as something to replace with software or an agent.
One Agent Per Lane
Beat context overload by running many narrow, purpose-built agents instead of one do-everything agent.
Output-Toward-Outcome Measurement
Don't forsake motion for progress — keep asking whether the metric you climb still serves the outcome.
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Practitioner-Sourced Wisdom
The best advice comes from people on the ground doing the thing — not from pontificators.
Pull the Thread on New Tools
Judge a new AI tool by where it'll be in a week or a month, not where it is on day one.
Raise Your Happiness Baseline
Big events only move you temporarily — the real lever is lifting the baseline you always return to.
Ramble-Mode Onboarding
Onboard an AI agent by voice-rambling everything you need, not by wiring up APIs and structured fields.
Separate Behavior From Identity (Good Inside)
Say 'this is a good person who is late' — split who someone is from what they did, so the conversation can actually be about the behavior
Ship-in-Research-Preview Speed Loop
Cut idea-to-user time from months to a week by branding launches as previews and pre-wiring the launch chain
Simple, Novel, Emotional: The Shareability Formula
Make it simple, make it show something new, make it feel something — then cut the cleverness.
Software Is Not a Moat
Any feature you ship can be cloned; build ecosystems, platforms, and hardware that can't be copied.
Solve the Problem Behind the Problem
When an agent can't do a task, escalate API-to-browser, then reframe to the underlying need it can solve.
Spec-as-What-Good-Looks-Like Verification
Check your definition of good into the repo so AI code review can automatically validate work against it.
Strategic Friction
Add friction that helps a user understand why the product is for them; cut friction that doesn't
Sturdy Leadership (The Three Pilot Announcements)
Validate someone's experience as real without being overwhelmed by it — like a pilot who contains the cabin's fear and flies the plane
The 100%-or-Nothing Automation Rule
An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it
The Automatable Growth Loop (CACHE)
Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment
The Consultative Interview Flip (Sell the Vacation)
Run the interview like an enterprise sale so there is no competition when the offer comes
The Conversion-Funnel Cold Email
Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately
The Fast-Feedback Flywheel
Fix every piece of user feedback within minutes so people feel heard and give you even more.
The Hire-an-Agent Onboarding Model
Set up an AI agent exactly like you'd onboard a human EA: own identity, delegated access, earned trust.
The Internal-Signal Quality Bar
It's done when it makes YOU laugh or tear up — not when someone else approves it.
The Lindy Commitment Test
However long you've sustained something is roughly how much longer you can trust it to last.
The Loonshots Two-Structure Organization
Run a big rigorous org and a tiny flat innovation team side by side; the leader's job is the bridge.
The Most Generous Interpretation (MGI)
Ask 'what's the most generous interpretation of why they did that?' to turn judgment into curiosity and unlock better interventions
The Power of Repair
Rebuild trust after a bad moment by owning your part, naming the impact, and stating what you'll do differently
The Relentless Iteration Loop
Read-through, add, repeat 50-100 times, set aside, return — then hand to editors. That's the secret.
The Scheduled AI Chief of Staff
Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly
The Skip — Plan the Move After Next
Optimize career decisions for the job two moves out, not the next job.
The Soft Pushback
The one-line, zero-aggression ask that recovers ~20% of comp almost every time
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
Three-Legged Model Evaluation
Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals
Under-Resource to Force Automation
Deliberately under-staff projects and hand out unlimited tokens so people are forced to automate with AI.
Volume-of-Ideas Design Velocity
Great ideas come from many ideas; build a high-velocity, no-gate, ego-free making-and-critique culture.
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