“I'm using Proof or or really any website, maybe PostHog or whatever. And I'm doing it inside of my agent.”
PostHog
By PostHog
2 recommend/use · 5 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“Sign up today for free at postthhog.com/lenny and make sure to tell them Lenny sent you.”
“This episode is brought to you by Postthog, the product platform your engineers actually want to use.”
“in the case of post hog pivoting into their idea they knew a lot about analytics”
“I know PostHog is actually a pretty popular one. It's a open source product analytics tool.”
Related frameworks
Aha Moment Discovery via Correlation-Then-Experiment
Brainstorm high-value actions, correlate them with conversion and retention, then experiment to prove causation
Barrels-and-Ammunition Team Design
Staff each team from the gap, not from a fixed PM/EM/designer template
Building the PLG Team and Org
Start with a growth PM and an analyst, then formalize into a cross-functional PLG org with three growth heads
Build Your Own Senior-Engineer Benchmark
Measure AI honestly by scoring new models against real human experts rewriting your actual broken work.
CEO-Led AI Adoption Playbook
The single predictor of AI adoption is whether the CEO uses it daily — then amplify your 10% early adopters
Codify Your Judgment into Prompts (Don't Repeat Yourself)
Turn every piece of feedback you give into a reusable prompt so you never say it twice
Compounding Engineering
Spend a little effort now so each repeat of a task is cheaper than the last
Copy Comps' Zero-to-One, Not Their Growth Hacking
Ignore late-stage growth tactics with no users — study what your archetype did to get its first 1,000
Evals as Articulating Success
An eval is just a clear spec of ideal behavior — the shared language of AI product work
Four Leverage Buckets: Where to Start Your PLG Motion
Choose your first PLG investment among acquisition, activation, conversion, and retention by fit and leverage
Frozen Competence: Where Human Value Survives
Models commoditize yesterday's competence; your value is using that cheap competence to make something new.
Hire an AI Operations Lead
Give one person the dedicated job of automating everyone else's repetitive work with AI
Information-Diet Idea Divergence
Same inputs produce same ideas — mine your unique experience and starve the herd feed
PLG Is Fundamentally DLG (Data-Led Growth)
Giving away a free product only pays off if you capture and analyze its usage data
Pre-Sell Before You Build
Do customer validation and line up buyers before writing code or raising money
Retention as Habit-Building Plus Expansion
Retain by baking high-frequency habits into the product, then convert steady usage into expansion revenue
Ride the Models
Stay valuable in AI by playfully applying each new model to your own work and re-testing what it couldn't do before.
Run Toward the Hard Use Cases
Don't disable high-stakes uses to avoid downside — engineer them to be great
Ship-to-Learn: The Emergent-Product Loop
When product properties are emergent, launching is how you discover them
Super Agent With a Forward-Deployed Human
Give the whole company one shared agent, owned by a human who keeps it working — not personal agents for everyone.
Tar Pit Idea Detection
Spot the seductive ideas that draw everyone in and trap them — they validate but never work
The AI-Document Slop Test
An AI-written document is fine — as long as you can stand behind every line and it took longer to make than to read.
The Allocation Economy: Manage Models Like a First-Time Manager
AI turns everyone into a manager — the valuable skills become the ones first-time managers must learn
The Calendar Customer-Contact Audit
20-30% of your calendar should say 'customer meeting' — in person, not behind a keyboard
The Collison Install (Last-Mile Close)
A 'yes' isn't a sale — hand-hold implementation until the customer is fully live
The Don't-Die Keep-Going / Give-Up Decision
Deciding whether to persist or shut down by testing love, energy, and remaining moves
The Five PLG Readiness Components
The five things a product must have before a product-led motion can work
The Full PLG Funnel Audit
Walk your own funnel as a confused buyer, then overlay the data to find your highest-leverage fix
The 'Going Home' Pivot
A good pivot moves warmer — toward your existing expertise and what your last idea taught you
The Hated-Incumbent Idea Prompt
Find a big incumbent customers hate with terrible software, then build the replacement
The Ideas-Left Pivot Timing Test
Pivot when you're out of credible growth ideas, not just because growth is slow
The Maximally Accelerated Question
A forcing question that separates critical path from what can wait
The PLG Data & Infrastructure Stack
The three infrastructure layers plus per-funnel-stage tools every PLG motion needs
The Reach Test
Judge whether an AI tool is truly useful by whether you reach for it unprompted each morning.
The Sip Seed Round
Get capital committed but pull it down only when needed, so you keep optionality and psychological freedom
Two-Mode Prioritization for AI Products
Prioritize backward from model magic AND forward from customer needs
Unbundle Expensive Services into AI Apps
Find a service only the rich could afford, do it with a general chatbot, then spin the working ones into apps
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