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So honored that @HubSpot has been named the #1 software for Marketers by G2! g2.com/best-software-compani…
I am shocked someone hasn’t raised money to turn all of the famous romantic comedy apartments and houses like this one from You’ve Got Mail and turn them into museums/rentals.
If I were doing an AI email start up I would consider doing a stunt around buying this place and turning it into a brand activation and content creator studio.
You can now buy Meg Ryan's Upper West Side townhouse from "You've Got Mail" for $3.95 million.
The building, which recently hit the market, is on West 89th St., between Riverside and West End Avenue, and has 8 bedrooms and 9 bathrooms.
lesliegarfield.com/propertie…
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This applies 10x to companies/brands as it does people.
If you have middle of the road point-of-view, consensus product strategy, and marketing rooted in the average, no one will care at all. Ever.
To quote @Drake “jealousy is just love and hate at the same time”
If you want a brand that your competitors and the market are jealous of you HAVE to be loved and hated.
It is the only path. Get thicker skin. Stand by the courage of your convictions. Be unabashed about the customer you want to love you.
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Stripe has become the default agentic financial infrastructure.
Agents will be a major tailwind to their growth.
I cannot tell you how bullish I am on Stripe in the agentic era.
They are the ONLY connector inside Grok Bot that have the kind of granular permissions + human-in-the-loop prompts I *expect* for agents.
Every other connector - like ones from Google for eg Gmail or Docs - feel hopelessly amateur. Like WHY do I not have a way to have the Gmail connector ask for this kind of user permission before it lets an agent read any *sensitive* emails like password reset ones etc.
Stripe ygmi and I have no idea why others are not copying the very least what Stripe does
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This was a remarkably detailed review. The thought, care and shot selection is really top notch.
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To understand the opportunity to disrupt Amazon you would need to be right on why they are banning agents from shopping. Some thoughts on that:
1. Amazon is a low margin business. When agents can do deep price comparison or search ever hour until an item reaches a given price level, it erodes a lot of the already low margin Amazon is working with.
2. Amazon doesn’t want to destroy its advertising business which generates 80 billion dollars in revenue with 40 billion of that estimated to be profitable. Agent web traffic is a major threat to all human driven advertising businesses and Amazon has a big one.
3. They don’t want to be disinter-mediated. Right now Amazon is the top search destination for shopping. They don’t want to hand that over to Meta, Google, Open AI or SpaceX and become just your average shopping site that is one of many on the back end an agent looks at.
So a disruptor’s challenge is both speed of getting to market scale but also innovating on new business models for marketplace e-commerce. Not impossible, but not easy.
It will likely be a headless marketplace with deep integration to where people already spend their time. It likely will have meaningful rev share deals with those platforms instead of advertising. It will have to find how to get pricing power in an agentic world .
Amazon banning agents is the first opportunity I've seen since Amazon was founded for a startup to create an Amazon competitor. People will want agents to buy stuff for them. It will be one of the main use cases. And they won't want to use some Amazon-supplied agent to do it.
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This makes @grokbot the most powerful tool for prospecting against X.com data on the planet. Any smart person who wants to grow their biz should do the following right now.
1. Build a Grok Bot for each use case of their product or service offering.
2. Give each bot the full context of that product and service offering. Pricing, features, case studies, customer reviews, all of it.
3. Have each bot look at the last 30 days of posts and comments where people are talking about that use case on X.com
4. Have it return those posts and profiles as well as any profile data in a spreadsheet.
5. Integrate data enrichment services to get phone and email for those contacts.
6. Have your bot build a scoring model based on past customers.
7 Call, message or email the best fit people.
8. Make 💰
The CMO of @LifeTime_Life has an opportunity to do something amazing.
This story is nuts.
He trains on a treadmill at lifetime gym that tops out at just slower than his marathon pace (12.4mph).
If this guy breaks the American Record, I'll gladly sponsor him by giving him a treadmill that at least goes his marathon pace....
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Hall of fame tweet. I have always found this to be true and always been burned when I didn’t follow it.
Man @alexandr_wang is really on an epic meme posting run…
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It’s launch day. 🚀🚀🚀
Loop: Outlearn. Outmarket. Outgrow. is officially out.♾️
I helped scale the marketing playbook AI is now breaking.
We had to rebuild our own. Today that rebuild becomes a book. 📖
For 15+ years at HubSpot, the job was clear: create useful content, get discovered, earn trust, turn trust into customers.
Then buyers started getting answers without visiting websites. AI made content cheap. Almost everyone’s response to less attention was produce more — including companies already producing too much.
When you’ve gotten good at something, it’s easy to confuse “this worked” with “this will keep working.”
So Kieran Flanagan and I wrote Loop — a practical way forward for marketers who need Monday to look different.
The idea: your marketing should get smarter every time you run it.
A customer objection improves your next ad. That ad sharpens your positioning. That positioning makes the next conversation better. Every cycle raises the floor for the next one.
That’s the system:
• Express — your point of view and why you’re worth choosing
• Tailor — make that story relevant to the person buying
• Amplify — show up where people actually discover, evaluate, and decide
• Evolve — feed what you learn back into everything next
We tested it inside HubSpot. The book brings the framework, the tools, and a 90-day plan to run it with your team.
AI gives your competitors the same tools you have. Your advantage is what you understand about your customers — and how fast you turn that into better marketing.
To the HubSpot team, the Marketing Against the Grain community, and everyone who challenged these ideas along the way: thank you. You made this book better.
If you own growth and you’re asking what your team should do differently on Monday — start here. Loop is live.
Get your copy: hubspot.com/loop-marketing-b…
Outlearn. Outmarket. Outgrow.
Football is back.
In honor of the start of 🏈 the best four lines written about it ever by Jason Isbell
“Well, it's a Thursday night but theres a high school game
Sneak a bottle up the bleachers and forget my name
These 5A bastards run a shallow cross
It's a boys last dream and a man's first loss”
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It is wild to me how slept on @perplexity_ai is by the market. I use Perplexity Computer constantly.
Here is why:
1. I can share skills easily across my team easily in the cloud.
2. It is very good at model routing and selection and I have access to all the best models from all the model providers.
3. My perplexity computer tasks sync seamlessly between my desktop and cloud.
4. It is easy to build workflows from any task in computer for important reoccurring jobs.
5. Computer tasks process in the cloud so I don’t have to constantly have my desktop on and running.
Now they have solved a critical security concern for many AI users.
It isn’t perfect. I find that the design output for artifacts to be lower quality than using the same models in their own harnesses. Additionally it has bugs where tasks get hung up or take longer than they should to run.
Perplexity solved the biggest problem in AI privacy. Your sensitive data never leaves your Mac. Everything else runs on cloud. One app. Automatic.
When you give Perplexity a task, it scans the content first. If it involves anything personal medical reports, tax documents, legal files, bank statements it runs the task entirely on your Mac.
If the task doesn't involve sensitive data, it sends it to powerful cloud models for the best possible answer.
You don't decide. The app decides for you. In real time.
They also open-sourced the classifier that makes this decision. Anyone can see exactly how it determines what's private and what's not.
First major AI app to make privacy automatic instead of a setting you have to remember to turn on.
You out here killing it @orenmeetsworld
If you want to be a great marketer, you need to be creating your own thesis of WHY people consume things
and then relentlessly validating them in conversation and through creative testing
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I need @davidsenra to do yet another @FoundersPodcast episode on Dyson that is solely about how they innovated to make this toothbrush.
James Dyson is 79 and still finding ways to apply hardcore engineering to random consumer products.
He was in fine form pitching Dyson’s new $499 CameraJet toothbrush:
“The first toothbrush with a camera. The first toothbrush with a jet. The first toothbrush to find the space between the teeth and floss while you brush.”
Dyson says it created an ML algorithm trained on 470,000 mouth images to recognize the gaps to clean with water flossing.