Wes Bush

Product-led coach helping founders scale from 6 to 8-figures in product-led revenue. Author of the bestselling book, Product-Led Growth.

Over the last 9 years, I’ve worked hands-on with 400+ SaaS companies, helping them unlock $1B+ in self-serve revenue through Product-Led Growth (PLG).

Six years ago, PLG was a choice.
Today, it is table stakes.

Recently, Brex published a list of the 50 fastest-growing software companies.
ALL of them have a PLG motion.

If you want to win in the SMB or Mid-Market space, you cannot survive without PLG in 2026.

What separates the winners is not whether they have PLG.
It is how strong their PLG motion is.

The best PLG motions showcase value in minutes and expand rapidly without adding headcount. Weak PLG motions get stuck in linear growth.

That is what I help founders fix in three ways:

➡️ Is PLG is right for you?

I wrote the bestselling book, Product-Led Growth: How to Build a Product That Sells Itself, to help you determine if PLG is the right strategy for your business. 

You can read it for free at ProductLed.com/Book - my treat!

➡️ What’s the best approach to scale up PLG?

After two years of research and working with hundreds of companies, I discovered the 9 essential elements that separate PLG success stories from the rest. 

I break it all down in The Product-Led Playbook.

You can grab a copy at ProductLed.com/Playbook, or watch my free masterclass to see the entire process in action: ProductLed.com/Masterclass

➡️ Ready to scale up?

If you’re ready to scale and need hands-on help, our ProductLed Implementers are here. They aren't consultants - they are experienced PLG operators who want to roll up their sleeves and work alongside your team to help you address your biggest growth bottleneck, whether that's getting more users to sign up, upgrade, or get to value.

Since we only work with a handful of clients at a time and guarantee growth, you must apply to work with us at ProductLed.com

Let’s turn your product into a growth engine and scale your business the product-led way. 🚀

CEO & Founder

We help you build a successful product-led business.

Start with our free ProductLed Masterclass 👉 productled.com

We asked 60,000 people: “who’s the best PLG operator you know?” 

and we researched who are (or were) behind the world’s best PLG companies (think early-days Slack, Notion, Miro, Etc.). 

Here are the results (2026 world rankings): 

#1 - Elena Verna
#2 - Giancarlo 'GC' Lionetti
#3 - Merci Victoria Grace
#4 - Melissa Tan
#5 - Wes Bush
#6 - Lauryn Motamedi
#7 - Laura Schaffer
#8 - Casey Winters
#9 - Jacob Bank
#10 - Kieran Flanagan
#11 - Leah Tharin
#12 - Ben Williams
#13 - Salvador Torres
#14 - Anton Osika
#15 - Carrie McMahon
#16 - Patrick Campbell
#17 - Esben Friis-Jensen
#18 - Ramli John
#19 - Bryan Ng
#20 - Kyle Parrish
#21 - Melissa Ross
#22 - Josh Sookman
#23 - Tommy Fink
#24 - Henrique Cruz
#25 - Casey Hill
#26 - Hila Qu 曲卉
#27 - David Barron
#28 - Mario Araujo
#29 - Kyle Poyar
#30 - Brian Balfour
#31 - Kate Syuma
#32 - Shaun Clowes
#33 - Meghan Gill
#34 - Michael T.
#35 - Shuo Wang
#36 - Eitan Helman
#37 - Raaz Herzberg
#38 - Shane Murphy-Reuter
#39 - Hiten Shah
#40 - Sam Crowell Richard
#41 - Jon Noronha
#42 - Etgar Bonar
#43 - Yaakov Carno
#44 - Aggelos Mouzakitis
#45 - Andrew Capland
#46 - Adam Fishman
#47 - Ravi Mehta
#48 - Jiaona "JZ" Zhang
#49 - Albert Cheng
#50 - Maor Shlomo
#51 - Francois Bondiguel
#52 - Sian Townsend
#53 - Brian de Haaff
#54 - Jules Walter
#55 - Amol Avasare
#56 - Arik Marmorstein
#57 - Dave Boyce
#58 - Sean Ellis
#59 - Rachel Hepworth
#60 - Jessica Gilmartin
#61 - Aaron Cort
#62 - Adam Robinson
#63 - Jason Fried
#64 - Alex Turnbull
#65 - Yasser Elsaid
#66 - Guillaume Moubeche
#67 - Nicolae Rusan
#68 - David Okuniev
#69 - Jan Oberhauser
#70 - Karim Atiyeh
#71 - Mickey Alon
#72 - David Barrett
#73 - Gary Brewer
#74 - James Hawkins
#75 - Nils Schneider
#76 - Daryna Kulya
#77 - Kurt Mackey
#78 - Koen Bok
#79 - Drew Banin
#80 - Patrick Thompson
#81 - Chris Bach
#82 - Melissa Kwan
#83 - John Foreman
#84 - Ryan Singer
#85 - Krithika Shankarraman
#86 - Pedro Magriço
#87 - Nick Chong
#88 - Harley Finkelstein
#89 - Hugh Molotsi
#90 - Ilan Rabinovitch
#91 - Jim Gochee
#92 - Neil Rahilly
#93 - Dylan Fox
#94 - Steffen Tjerrild
#95 - Ben Edelstein
#96 - Mauricio Idarraga
#97 - Carina Fonseca
#98 - Nick Rico
#99 - Fredo Tan
#100 - Rodrigo Fernandez
#101 - Justin Gallagher
#102 - Adam Jarczyn

Couldn’t tag everyone on this post. In the comments! 

Who do you know that’s not on this list, but should be? 

Let me know below 👇

Genspark AI reached $155M ARR in 10 months but I still got stuck getting to  value when I onboarded.

Here’s my full teardown of their PLG motion, and what I would change to get to $1B if I was in charge of self-serve growth 👇

DM me to get the full 10-minute Loom of me onboarding and giving feedback.

Oh, and Wen S. is coming on the pod. Stay tuned.

Reverse-engineering AI companies hitting $100M ARR ≤ 12 months

Genspark AI - PLG Teardown

Right now, founders have two choices.

One, they can pretend like they're living under a rock with their product, even if they have strong product-market fit right now. Or two, they can realize that product-market fit evolves faster than ever before with AI.

Let’s say you’re running a $45M business.

Growth is steady.
Churn is manageable.
Customers are happy.

On paper, everything looks solid.

But AI is compressing time.

If someone enters your category and delivers the same outcome in a fraction of the time, the equation changes fast.

The issue is → is your product still the fastest path to value?

That’s where the hard decision shows up.

Do you keep optimizing the current product?

Or do you build the version that makes your current product feel slow?

I’ll be direct: You should build the version that replaces you.

Design the AI-native experience that gets users to value dramatically faster.

Because if you don’t, someone else will.

And when they do, growth shifts quickly.

You’ll notice churn creeping up.
You’ll run experiments.
You’ll tweak onboarding.
You’ll adjust pricing.

But if the core workflow is slower, optimization won’t save you.

So the choice becomes simple.

Ultimately, these are the two choices you have to make:

1. Adapt or die: You must decide to disrupt yourself.
2. Be disrupted: Continue as you are and face the consequences.

That’s the decision.

I’m going to be blunt.

This was the best interview we’ve ever recorded.

Because Wen S. (COO + co-founder of Genspark AI) doesn’t talk in startup clichés.

He explains, in plain language, how a 50-person team hit $100M ARR in 9 months, then $155M ARR by month 10… with almost no marketing until after $100M.

Here are the ideas I can’t stop thinking about.

1) People want the job done. Period.

Wen said something that reframed the whole category for me:

People look for information because they need to finish something.

That’s why Genspark shifted the goal from “answer questions” to “finish work.”

2) Their “secret sauce” is boring, but effective: output quality.

Genspark put 99% of their energy into one thing: make the output so good you can ship it.

Work you can use right away.

That obsession is what made word-of-mouth do the heavy lifting early.

3) They refused to spend on marketing.

Most startups pour fuel on distribution early.

Genspark avoided ads on purpose.

Only after they crossed $100M ARR did they say: “Okay. This must be real. It’s time.”

4) They made a Super Bowl ad in 10 days (10x’d growth).

Yes, they ran a Super Bowl spot.

But the part that matters is they made it happen in ~10 days.

Script and creative generated using Genspark.
Shot fast.
Shipped fast.

Traffic jumped 10x overnight.

5) “Focus on one thing” is becoming bad advice.

In the old world, building multiple products meant multiplying teams and coordination.

In the AI-native world, you can reuse the same context across outputs.

People don’t want 12 tabs and 8 subscriptions. They want one place where context carries across everything.

6) How 50 people ship like 500.

Wen shared that 90%+ of their code is written by AI.

Instead of a classic org chart (frontend team, backend team, DevOps, design), they built a platform and kept ownership tight.

7) Why AI companies are hitting warp speed growth.

Adoption comes from two directions at once:

Bottom-up: individuals try it and get value immediately.
Top-down: leadership feels urgency and formalizes adoption.

If you aren't growing at warp speed, attend WARP Week from March 2nd to March 7th.

Save your spot: https://lnkd.in/gQfq4hYd

8) The real proof is revenue.

A consultant who used to spend weeks coordinating research and building decks now pays $25/month, gets the grunt work done in days, keeps more margin, and serves 5–6x more clients.

9) Their only advice to founders: obsess over the product.

If you have a great product, people will notice.

Stay paranoid. Keep shipping. Keep raising the quality bar.

That’s the game.

👉 Listen or watch the episode:
https://lnkd.in/geRJEhTk

“60 seconds to value? That’s impossible for my product.”

I hear this every time I talk about WARP.

Here’s what I tell them:

Cursor writes complex code in seconds.

Midjourney creates complex art in seconds.

Lovable builds entire applications in seconds.

These aren’t simple products. The difference is who does the work.

Old way: “You do the work and get X result.”

New way: “Tell me what you want done. Boom, it’s done.”

Even if you can’t hit 60 seconds today, what if you went from 3 days to 5 minutes?

That’s still a massive moat. And the window to capture it is now, while users are still actively trying new tools.

Wait until everyone has settled on their defaults and the cost of winning that same user goes up 10x.

That’s what we’re building in WARP Week.

Starts Monday. Link in comments.

I spoke with a $50M ARR founder yesterday.

He said something I haven’t stopped thinking about:

“We have product-market fit right now. But that’s PMF pre-AI.”

Let that sink in.

Most users aren’t deeply loyal.

They’re accepting the friction because there hasn’t been a dramatically better option.

If someone builds a tool that delivers the same outcome in 60 seconds instead of 30 minutes, switching becomes obvious.

And here’s the part founders don’t like to admit:

That company is being built right now.

Today.

Very likely by someone who understands your category inside out.

I’ve been studying what I call WARP speed companies.

The ones going from zero to $100M ARR in under 12 months.

They share a pattern.

Zero friction to value.

Users reach their first meaningful outcome in 60 seconds or less.

That’s the new bar for product-market fit in the AI era.

The question is no longer “Do people want this?”

It’s “How fast can they experience the outcome?”

Because speed to value is becoming the moat.

So the real question is simple.

If AI is going to compress your workflow, will you be the one compressing it?

Or will someone else?

10 months ago, Wen S. launched Genspark.

Today, it’s at $155M ARR with ~50 people.

For the first time, he shared exactly how they did it:

1. They didn’t build a better chatbot.

They rebuilt “work.”

Instead of answering questions, Genspark focuses on finishing tasks: decks, models, briefs, decisions.

2. They let individuals pull the product in.

Adoption started bottom-up.

Employees used it because it was immediately useful. Then leadership stepped in to formalize it.

3. They refused to spend on marketing until after $100M ARR.

No big ad budgets.

No artificial fuel.

If it grew, it had to be because the product earned it.

4. They made a Super Bowl ad in 10 days.

After product-market fit was obvious, they took a high-leverage swing.

Traffic jumped 10x overnight.

5. They built a 50-person team that ships like 500.

Over 90% of their code is AI-written.

Weekly releases.

70+ models orchestrated under the hood.

As Wen said, the entire team’s obsession is output quality.

Not features!

The formula is clear → Get users to real value fast. Make the output so good they can ship it. Keep raising the bar every week.

Individuals adopt.

Companies follow.

Growth compounds.

That’s what AI-era product-market fit looks like.

🎧 Listen to the full breakdown: https://lnkd.in/geRJEhTk

Dhruv Patel

Co-founder @ Saleshandy

Hey there,  

I'm a guy who wears many hats, and I like it that way! 

My marketing journey kicked off at a company where I managed a team of over 25 folks as the Marketing Lead and Operations Manager. 

But my itch for something more took me down the road of content and niche marketing. That's how I ended up co-creating Saleshandy, a place where I'm still enjoying the ride and helping the company grow.

I'm a marketing junkie and a business starter, and I get my kicks from companies that encourage teamwork and don't put up roadblocks to success. I live to meet and exceed what customers want. I keep a close eye on the results and always tinkering with my game plan based on what's needed. When things go south, I don't get bent out of shape; I see it as a chance to learn. I take a good, hard look at what went wrong, figure out why, and then cook up solutions based on the facts.

As a growth hacker and digital marketing buff, I thrive on the hustle and meet life with a never-say-die attitude. My constant grin shows my love for creating strong teams and my readiness to lend a hand at the drop of a hat.

So here I am, a Co-founder at Saleshandy, extending an invitation for you to join me on this wild ride as we take over the marketing world, one success story at a time. 

Let's get together and see how we can help each other grow. What do you say?

Co-Founder

Saleshandy is a cold outreach platform that helps B2B businesses automate and scale their outbound sales efforts. 

» I am the person responsible for
- majority of marketing stuff
- people management
- developing and implementing systems & procedures throughout the organization
- operations

No outbound tool on earth can solve this debate (including Saleshandy).

I saw this exact question pop up on Reddit:

"I tried cold emails and LinkedIn DMs, but neither worked. What tool should I try?"

Here’s the thing: It’s not the tool — it’s your expectations.

Cold email is designed for reach.

LinkedIn is built for visibility.

Cold email requires you to:
> Send in volume
> Use data
> Test fast
> Have new conversations

LinkedIn requires you to:

> Have social proof
> Take a warmer entry
> Use lower volume, but with higher intent
> Provide context before outreach

But here’s the mismatch:

People expect cold email to book meetings in less than an hour.

People expect LinkedIn to scale like ads.

That’s where things break.

Both channels have their risks:

Cold email: Deliverability issues, spam complaints, bad targeting hurts fast.

LinkedIn: Slower scale, inactive users, platform restrictions.

Neither channel is magic.

If you understand the differences, your strategy is simple.

If you don’t, you’ll be stuck blaming tools FOREVER.

Co-founder @ Saleshandy | Automating cold emails to drive lead generation & sales

Most founders don't have a productivity problem.

They have a body problem they've renamed as a productivity problem.

The truth is:

We build systems for everything:

Pipeline. Hiring. Product. Revenue.

But very few real systems for our body.

And here's the dangerous part 

You don’t notice it breaking down in one dramatic moment.

You slowly become:
> Less sharp
>  Slower to decide
> Quicker to snap
>  Less focused after 3pm

You’ll blame it on workload, but it’s not just that.

It’s years of quiet neglect compounding.

Here’s what I now know, and wish I knew at 25:

Your body doesn’t give you one loud warning.

 It gives you a decade of small signals you ignore.

And then one day, you're 30+, dealing with back pain, lower energy, and a 
shorter focus window.

Fitness doesn’t get easier as you age.

Compounding works both ways.

If you’ve been consistent, your baseline stays high.

Recovery is faster. Focus lasts longer. Stress tolerance is higher.

If you haven’t, each year it gets harder to bounce back.

In your 20s, you can neglect your body and recover quickly.

In your 30s, the same neglect starts sending a bill.

I’ve seen founders spend their 30s trying to rebuild what could’ve been maintained in their 20s.

Don’t wait for the wake-up call.

Build systems for your body the same way you build them for your business.

Every cold email expert you follow was once a beginner figuring out who to email and who not to.

They didn’t become experts because they started early. 

They became experts because they moved to the next stage.

The groundwork for all success: Knowing your stage.

There are 3 stages:

Stage 1: 0 Certainty

You don’t know anything. You’re guessing. Your message changes every week.
 
What do most people do?

They rush out of it.

They see 2 replies, assume they’ve found product-market fit, and hire SDRs.

That’s ego, not evidence.

Stage 2: Some Certainty

Now, you see traction. But confirmation bias kicks in.

You only listen to buyers who agree, ignoring those who don’t.

You shape the story to fit your beliefs.

That’s how weak positioning is born.

And most get stuck here, not knowing how to get out.

Stage 3: Scaling 

Scaling isn’t about “doing more.” 

It’s about protecting what works and testing what might work next.

Most teams either experiment forever and never scale, or scale forever and never improve.

The best teams know when to switch gears.

ICP research isn’t a marketing task—it’s decision control.

If you don’t control the stage you’re in, the stage controls you.

And that’s dangerous.

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The Battle

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Dhruv Patel

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The Battle

Wes Bush

Dhruv Patel

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Wes Bush's LinkedIn Performance

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