“That's replet. That's lovable.”
Lovable
By Lovable
16 recommend/use · 21 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“All you do is go to I don't know lovable or install cloud code download code X”
“Companies like yeah, lovable, cursor, you know, all these like great businesses”
“I use it regularly and I could not recommend it more highly.”
“Get started for free at lovable.dev.”
“I launched you get a free year of Cursor and Lovable and Bolt and Replit and V0.”
“I use it regularly and I could not recommend it more highly.”
“I get to use tools like globable every day to push projects to production whether for internal or external use.”
“my team was just showing me um that one and and lovable. So I love playing around with any of those new tools.”
“Bolt is probably a distant number three behind Rep and Lovable, right?”
“we use Lovable at Lovable a lot. Like all of our internal tools are built on Lovables.”
“whether it's design or it's Figma or other tools or lovable you should be ready to invest those hours”
“I use it regularly and I could not recommend it more highly.”
“Get started for free at lovable.dev.”
“I use it regularly and I could not recommend it more highly.”
“I use it regularly and I could not recommend it more highly.”
“So, I just went to Lovable. like build an app where I can give you a Google doc URL”
“building like essentially AI prototypes of those using tools like a vzero or like a lovable”
“get into Lovable because I sort of like say using the hardcore stuff”
“You're competing against very wellunded companies, Lovable, Bolt, Replet, Versell.”
“cursor, lovable, bolt, rep, all these guys did that.”
“you have a prompt that you give say bolt lovable replet v 0 zero”
“cursor and lovable and bold and all these guys”
“we had the founders of bolt and lovable on the podcast.”
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Best-Rep Email Cloning
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Boundaries Are What You Will Do
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Builder vs. Information Mover
Diagnose which half of your role AI kills and which half it supercharges.
Build in Private (Best Work Is Done Alone and Quietly)
Skip the public-building playbook and pour your limited time into customers and product instead.
Build Only at the Magic Intersection
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Build Only Where You Can Be Best (Model Sourcing)
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Cannibalize Your Own Product Every 6-12 Months
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Capability-Value-Scale Software Maturity
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Code Quality Doesn't Equal Product Success
Solve the real problem for real users; architecture and code quality are nearly orthogonal to success
Connect Before Correcting
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Connect-Users-to-Value Journey Staffing
Growth's job is to connect users to your product's value — so staff teams around each stage of the user journey.
Context Loading (Additional Information)
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Conversation-Intelligence Deal Diagnosis (the Dealbot)
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Conway's Law Reorg: Go Functional Before You Go AI
Restructure engineering into one functional org before expecting company-wide AI or technical depth
Credits-for-Sharing Loop
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Crossing the Chasm from Fear to Joy
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Defensible Moats for AI Startups
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Discovery-Led Selling: Ask, Don't Pitch
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Don't Wait for the Re-Org
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Drive AI Adoption By Using It Yourself On A Real Problem
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Engineering the Creative Peak
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Ensembling (Mixture of Reasoning Experts)
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Enterprise Land Price Floor (Defendable ACV)
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Equally Disappoint Everyone
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Ethnographic Insight Over Stated Preference
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Existing-User Retention & Resurrection Priority
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Explore & Exploit at the Insight Level
Oscillate between finding the right mountain and climbing it — but do it insight by insight, not just at strategy level.
Exponential Bet Allocation
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Exposure Time for Taste
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Feelings That Overpower Skills
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Few-Shot Prompting
Show the model examples of what good looks like instead of describing it
First-Call Yes-or-No Qualification
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Follow the Breadcrumbs and Calibrate Urgency
Act fast on an exec's subtle hints, but ask how strongly they actually feel first.
Follow the Pull
Bet your career on the thing you enjoy, are good at, and others value — even if it's not the plan.
Full-Value Free Sampling (Reverse Free Trial)
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Gamification's Three Pillars: Core Loop, Metagame, Profile
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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
Golden Samples Over Full Corpus
Curate a small set of gold examples for your AI, don't dump your whole knowledge base on it
Go-to-Market as a Product
Design the buying journey as a sequence of experiences, and add value at every touch whether or not they buy
Growth Team as a Rigor Forcing Function
Hire a growth leader early — the second-order effect is that it exposes everything you haven't measured.
Hills-and-Valleys: Getting Value From Probabilistic AI Tools
Be patient and explicit, start small, and learn where the model is strong vs weak
Hire a Founder-Cosplayer, Not a Salesperson
For the first enterprise rep, hire someone who can cosplay the founder — vision, not scripts.
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
Hire Yourself First (Build in Public)
Do the job professionally in public before anyone hires you — then the hire is just changing the vehicle.
Hunting New Bottlenecks When AI Writes the Code
When AI removes the coding bottleneck, constraints shift up and downstream — go find them.
I Believe You + I Believe In You
For anyone struggling, pair 'I believe you' (one foot in the hole) with 'I believe in you' (one foot out) — doing both at once is magic
Irrationally Optimistic, Uncompromisingly Realistic
Push hard toward a future you believe in while killing your own hypotheses as data arrives
Lean-Into-Organic-Sharing Virality
Don't manufacture virality — instrument where users already share, then make those exact moments 5-10x more delightful.
Lean Into Your Spike
In the AI era, double down on your unfair advantage and stack disciplines to become a unicorn
LLM-Optimized Codebase Architecture
Structure your repo so the AI writes the least code possible — infrastructure absorbs the complexity.
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 the Other Mistake (Prompting for Brutal Feedback)
To get honest AI critique, over-correct toward brutal — the model won't actually overshoot.
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
Multi-Axis Revenue Segmentation
Plot customers on a graph of size plus the attributes that actually drive your revenue, not size alone
Negotiate From Genuine Indifference
The best position to sell your company is being genuinely fine not selling it.
Obsolete Yourself
Treat every repeatable thing you do as something to replace with software or an agent.
Opinionated Simplicity
Ship one compelling opinion instead of ten confusing options — you learn faster being wrong than being neutral
Optimize for Learning: The Impedance-Match Career Test
Choose roles by where you'll learn most and whether the mission truly matches how humans are wired.
Own-the-Framing Design Partnerships
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Parallel Draft Divergence
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Passion-Project Learning (An Eval for Your Life)
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Positive Delusion, Bounded by Learning
Assume everything is possible until proven wrong — but keep learning what's actually possible.
Practitioner-Sourced Wisdom
The best advice comes from people on the ground doing the thing — not from pontificators.
Price Like a Product (and Unbundle Deliberately)
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Prompt Decomposition
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Prompt Injection Defense Stack
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Question the Base Assumption Before Build-or-Buy
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Read Old Books You Know Nothing About
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Ride the AI Value Wave
Treat today's AI capability as the worst it will ever be and expand where it's most efficacious
Self-Criticism Loop
Get the model to critique its own answer, then implement its own critique
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Sell leaders the opportunity to become a superhero, not a fix for a narrow problem.
Sell to Reduce Risk, Not Increase Upside
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Separate Behavior From Identity (Good Inside)
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Shrink the Change to Build Trust
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Simple, Novel, Emotional: The Shareability Formula
Make it simple, make it show something new, make it feel something — then cut the cleverness.
Single-Channel Build-in-Public Bet
Find the one channel that resonates with your exact audience, then double and triple down.
Speed-to-Aha Over Best Product
Sometimes the correct product decision hurts the aha moment — cut it and get users to magic faster.
Start Small, Don't Boil the Ocean
Narrow scope to the achievable thing in front of you, then build momentum on top of it
Steering AI to a Non-Obvious Strategy
AI gives predictable strategy when asked lazily — enumerate every input first, then make it argue back
Stewart Plus Two More
Never bring one option; show a Goldilocks three and hold the rest in the appendix.
Strategic Friction
Add friction that helps a user understand why the product is for them; cut friction that doesn't
Strategy Activation via Crossing the Chasm
Treat internal strategy rollout as an adoption curve — over-communicate the why and manage early adopters vs laggards
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
Systems-First Scaling (One to 100)
Once you have product-market fit, go slow to go fast: build the systems before you hyperscale.
The 1,000-Experiments 'What Would Need To Be True' Goal
Set an audacious experiment-volume goal — not to hit it, but to force the conversations that unlock a whole experimentation culture.
The 10-Minute PM Test for GTM-Product Partnership
Hire salespeople with enough product depth that engineers can't tell they aren't a PM
The 10-to-1 Input/Output Kill Test
When you pour 10 units of effort in for 1 unit of output, the project has run its course.
The 30-Day Agent Training Loop
Ingest your docs, then correct the agent an hour a day for 30 days until it performs like your best rep.
The 4x4 Debugging Framework
Four escalating ways to unstick a broken build, each tried exactly once, ending by teaching the agent.
The 60-Second Meeting Reset
Buy a context-starved exec 30 seconds of orientation before you pitch.
The 95/5 Growth Inversion
In fast-moving AI markets, spend 95% inventing new growth loops and 5% optimizing existing ones
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The Automatable Growth Loop (CACHE)
Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment
The Chief Agentic GTM Officer Play
Pick one painful problem, one leading vendor, and deploy an agent yourself—50 hours later you're hyper-employable.
The Cold-Pattern Positivity Flip
Find the moments where users feel bad, and flip the product to reinforce progress instead of failure.
The Conversion-Funnel Cold Email
Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately
The Curator Leader (Not the Visionary)
The best product leaders don't own the ideas — they build environments where great ideas bubble up and get chosen
The Dehydrated Company Hiring Model
Only hire when a function is underwater, so headcount forces ruthless prioritization
The Five PM Archetypes
Hire and compose product teams by five distinct thinking styles, not one generic ideal PM.
The Five Traits to Keep, Automate the Rest
Protect where humans shine — vision, empathy, communication, creativity, judgment — and automate everything else
The Forward-Deployed Engineer Vendor Column
Don't buy AI GTM tools on features—buy on who will actually get on the phone and deploy it with you.
The Foundation Reset Heuristic
If the market stops sharpening your path, the problem is the foundation — not the effort.
The Full-Stack Builder Model
Empower one builder to take an idea to market end-to-end, regardless of role or team
The GTM Agent Deployment Sequence
Roll out AI sales agents in the order of lowest effort and highest ROI: start with support, end with reactivation.
The GTM Engineer Agent-Deployment Loop
Turn a sales function into an AI agent by shadowing your best rep, then redeploy the humans up-market
The Incognito Cry Test
Go through your own product as an anonymous customer, find what makes you cry, and buy an agent to fix that.
The Internal-Signal Quality Bar
It's done when it makes YOU laugh or tear up — not when someone else approves it.
The Lead-Rich Audit
You don't need SaaStr's scale—count your website visitors and untouched CRM leads to see you're already lead-rich.
The Lindy Commitment Test
However long you've sustained something is roughly how much longer you can trust it to last.
Themes for Discussion at the Top of the Doc
Bubble up the spiciest 3 topics live; answer the hundred nitpicks offline.
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 Painful-Mistake Growth-Mindset Interview
Screen only for growth mindset by asking for the most painful mistake and what changed because of it.
The Pod + Product Staff Team Model
Replace the 13-person specialist team with a 6-person generalist pod plus one summoned specialist
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 Product-Market Fit Treadmill
In AI, you must recapture product-market fit every three months as both product and market shift under you
The Relentless Iteration Loop
Read-through, add, repeat 50-100 times, set aside, return — then hand to editors. That's the secret.
The Say-Do-Said Loop
Say you'll do the thing, say you're doing it, say you did it — to align, adjust, and close the loop.
The Scheduled AI Chief of Staff
Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly
The Sharp Problem
Build for old, enduring needs re-imagined with new tech so the improvement is 3-10x undeniable
The Shipyard Team
Organize product work as a six-capability pod of controlled chaos with sensory 'tendrils' to customers
The Six-Month Autonomy Razor
If you're still telling a hire what to do six months in, you hired the wrong person.
The Skip — Plan the Move After Next
Optimize career decisions for the job two moves out, not the next job.
The SMB-or-Enterprise Binary (Mid-Market Doesn't Exist)
There is no mid-market — decide which of two distinct games you're playing and don't bleed them.
The Source-of-Truth PRD Cascade
Spend a day writing five layered docs so the agent, not you, carries the context on every build.
The Three-Part AI Product Utility Equation
A useful AI product needs model intelligence, context/memory, and application/UI to all converge.
The Three-Trait Hire Plus Two AI-Era Premiums
Grit, quick-learning, self-awareness get you hired anywhere — curiosity and putting yourself out there keep you relevant
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
Tier-One Logo First
Chase the Walmarts and Nvidias first — the market leaders are your real early adopters.
Token Budgets as a Trust-Proportional Resource
Kill the token-spend leaderboard; cap AI spend like any resource, sized to trust in someone's ROI judgment
Treat the Executive as Your Key User
Run stakeholder conversations as discovery interviews, not approval requests.
Understand It to Dissolve the Fear
Fear of a new technology is misunderstanding — spend time with it and you'll see its edges.
Values Reverse-Engineered from Why You Win
Don't philosophize your company values — extract them from the reasons you're actually succeeding.
Vision-Strategy-Execution Split (and the Controversy Test)
Vision is the destination, strategy is an opinionated path — and a real strategy must be disagreeable
When-It-Leaks Communications Pre-Mortem
At scale you can't test quietly — decide the message before you even know you want to launch
Your First Company Is a Zero (Build the Founder Muscle)
Treat your first three founding years as a craft apprenticeship, not a success you owe yourself.
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