Property Investor: "Our ads are getting leads, but they're not booking and show-up rate is low."
Me: "Give me 60 days."
Here's exactly what we achieved:
1. Response Rate Increased: 22% → 46% (24% improvement)
2. Appointments Scheduled: 9 → 35 per month (289% increase)
3. Property Viewings (Show-Up Rate): 4 → 25 leads per month (525% increase)
4. Revenue Growth: $14,000 → $63,000 per month (350% increase)
5. Return on Ad Spend (ROAS): 5.6x → 25.2x (major profitability improvement)
The key actions we implemented:
- Integrated smart retargeting with automated email and SMS follow-ups (sending unlimited messages until leads opt-out).
- Leveraged AI to instantly call and text leads within seconds of opting in.
- Qualified each lead through strategic, targeted questions, ensuring we booked appointments exclusively with red-hot prospects.
Targets for next month:
30x ROAS
30+ booked showings per month
$70,000+ in monthly revenue
I'll continue updating you on our progress.
The guy who built Claude Code barely writes his own code anymore.
He ships more in a day than most teams ship in a week.
I read every public post he has written and turned the whole thing into one system you can copy today.
Even if you've never run an AI agent in your life.
Give this one a watch.
Anthropic just published the fix for Claude Code. Almost nobody will read it.
I've run Claude Code on client work for 2 years.
Past a certain size it forgets your codebase and edits the wrong files. I blamed the model every time.
The model was never the problem.
It's 7 pieces you wire up once. Then the forgetting stops.
Give this one a watch.
Selling AI agents in 2026 is a trap.
Here's why 👇
AI got so cheap anyone can build the same thing in an afternoon.
So the price crashed to zero.
→ Single tools? Commodity
→ n8n templates? Commodity
→ The $500 Fiverr guy? Commodity
The race to the bottom is over.
The bottom won.
The fix is simple:
Stop selling tools.
Start selling systems.
A tool is a feature.
A system is a result.
Nobody argues about the price of a result.
This is crazy.
I never thought an AI agent could actually join my meetings for me.
But that's exactly what this one does. It joins the call, hears everyone, and talks back in real time with a voice. Like a real person on the call.
And it's the first agent like this that isn't a terminal install. Download it like Slack, double click, done. Anyone can run it.
Two weeks old. Already #1 on Product Hunt with nearly 30,000 GitHub stars.
Broke down what it is, how to install it, and whether you should switch. Give it a watch.
Claude Opus 4.8 just dropped.
Better model. Same price. And it finally stops lying about its own work.
Wrote up every change and whether you should switch 👇
Spent the last 2 years shipping AI to businesses.
Google didn't ship 100 products this week. They shipped 1 engine with 100 doorways.
I pulled the 5 doorways that matter and the 5-minute install that bolts onto Claude Code or Codex.
Give this one a watch.
Spent the last 2 years making businesses AI-first.
Just dropped the full beginner's guide to running your entire business with AI. Same process we run with paying clients.
Give this one a watch.
Hermes Agent just had its biggest update since launch.
I've run it non-stop for 30 days and half of what it does now wasn't even possible a month ago.
Pulled a 6-week-old sponsor thread in under a second. Ranked my entire inbox while I was filming. Haven't touched email manually in 2 weeks.
9 updates actually moved the needle. Broke all of them down 👇
Google just shipped 3 things this week: Antigravity 2.0, Gemini 3.5 Flash, and a new CLI
I spent the last 24 hours testing every piece
One is a trap. One is just OK. One is the most important release of the month and almost nobody is talking about it.
Here's everything you need to know
This is actually insane.
I just cut my Claude Code bill by 100x.
Same Claude Code. Same workflow. The model under the hood? Not Claude. It's DeepSeek V4.
A $200 monthly pilot becomes a $20 pilot.
In this video I cover the 1-prompt install, the model-picker workflow that cuts your Claude bill in half, and the 4 things DeepSeek quietly breaks on that nobody is being honest about.
(Setup takes 5 minutes. No technical experience required)
Watch the Full Breakdown Below.
Another ‘strongest quarter ever’ layoff tweet.
It’s the same script every time lol.
AI IS NOT FIRING PEOPLE — refusal to evolve is.
Most workers aren’t being replaced by AI. They’re being replaced by people who use it.
Clinging to ‘human touch’ excuses and anti-AI cope? That’s literally voluntary extinction.
The 100x team has no mercy for dead weight.
Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why.
First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it.
Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands.
Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition.
I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively.
THE 100X ORGANIZATION
The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago.
Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken.
The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems.
These roles will evolve. But waiting for that to happen naturally means falling behind now.
The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working.
THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS
— THE BUILDERS: 10X ENGINEERS
I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality.
Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment.
AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down.
Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed.
So who do you want orchestrating and reviewing code?
And how do you want your best engineers to spend their time?
If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code.
The new world is about enabling your 10x engineers to become 100x.
The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated.
I call this the great reckoning of AI coding, and every company will face this soon if not already.
More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well.
— THE BUILDERS: 10X PRODUCT MANAGERS
Product management and design roles are merging.
Designers that have customer focus, become more like product managers.
And product managers that have intuition for UX become more like designers.
The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results.
The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy.
Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on.
To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production.
Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck.
That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time.
— THE SYSTEM MANAGERS
Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp.
The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world.
You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is.
— THE FRONT-LINERS
In a world that will become saturated with AI communication, the human touch will matter more than anything to customers.
This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings.
One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers.
REWARDING 100X IMPACT
In a world where companies are able to do so much more with less, where does that excess money go?
In our case, much of the savings in this new operating model will flow directly back to those that enabled it.
We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them.
You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace.
Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems.
THE FUTURE
Nearly every company will make changes like these. The ones that do it proactively will define what comes next.
The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago.
ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.