Much better
Generate viral LinkedIn posts in your style for free.
Generate viral LinkedIn posts in your style for free.
The best LinkedIn Posts
Explore the top viral LinkedIn post examples, trends and ideas from the best LinkedIn influencers.
LinkedIn Posts that went viral yesterday
Every Thursday someone asks about my weekend, and I hear myself say "nothing much".
I like the colleague asking. For a moment I consider explaining. Then staying in seems easier.
What I mean is Saturday breakfast without already being late for something. A book I'm allowed to lose interest in. A few hours in which my attention belongs to me again, after a week of being someone other people can reach.
The awkward part comes when someone kindly offers to fill the time I kept free. A reservation would be easy to explain. An empty afternoon I want to leave exactly as it is feels harder to defend.
It shouldn't be. Looking forward to your own company is allowed, even after a good week, even when you like the people you work with.
So Im practising a different answer.
"I've kept Saturday for myself. Im looking forward to it."
The list is for anyone whose "nothing much" sounds like mine.
I like the colleague asking. For a moment I consider explaining. Then staying in seems easier.
What I mean is Saturday breakfast without already being late for something. A book I'm allowed to lose interest in. A few hours in which my attention belongs to me again, after a week of being someone other people can reach.
The awkward part comes when someone kindly offers to fill the time I kept free. A reservation would be easy to explain. An empty afternoon I want to leave exactly as it is feels harder to defend.
It shouldn't be. Looking forward to your own company is allowed, even after a good week, even when you like the people you work with.
So Im practising a different answer.
"I've kept Saturday for myself. Im looking forward to it."
The list is for anyone whose "nothing much" sounds like mine.
Time to destroy the myth that bosses need to be aloof and tough on employees in order to be effective.
Two of our businesses do bookkeeping.
So I’ve looked at a lot of numbers that meant nothing.
Here’s what I mean:
If a bookkeeper sends you “revenue: $84,000” and nothing else, you’ve learned almost nothing.
Is that up? Down? Good for your size? Bad for your season?
So nobody does that. Every number on a P&L sits next to last month, last year, and the budget.
The number isn’t the answer. The comparison is.
Then I watch the same founders get handed a feedback score.
“Customer satisfaction is 72.”
And everyone nods.
Nobody asks 72 compared to what.
That same 72 can tell three completely different stories:
→ Your industry sits at 81.
↳ You’re behind.
↳ Fine on paper, losing in the market.
→ Last quarter you were at 64.
↳ You’re improving.
↳ Find out what changed and do more of it.
→ Last quarter you were at 88.
↳ You’re sliding.
↳ Something broke and nobody told you.
Same number. Three different decisions.
A score with nothing next to it isn’t data.
Your team needs complete feedback.
They do the hard work of asking. Then they read the answer wrong.
SurveyMonkey builds the comparison in.
Its benchmarks put your score next to your industry and next to your own past results.
So you can see where you stand, what needs attention, and whether it’s getting better.
And building the survey takes minutes.
You describe what you want to learn in plain English and its AI writes it for you.
I’d never accept a P&L without last month next to it.
I’m not sure why we accept a satisfaction score that way.
Next time someone shows you a number, ask one question.
Compared to what?
Try SurveyMonkey: https://lnkd.in/eDBBFw8s
P.S. 10 businesses. Fully remote. Six built so far → itsnathanhirsch(.)substack(.)com
#surveymonkeypartner
So I’ve looked at a lot of numbers that meant nothing.
Here’s what I mean:
If a bookkeeper sends you “revenue: $84,000” and nothing else, you’ve learned almost nothing.
Is that up? Down? Good for your size? Bad for your season?
So nobody does that. Every number on a P&L sits next to last month, last year, and the budget.
The number isn’t the answer. The comparison is.
Then I watch the same founders get handed a feedback score.
“Customer satisfaction is 72.”
And everyone nods.
Nobody asks 72 compared to what.
That same 72 can tell three completely different stories:
→ Your industry sits at 81.
↳ You’re behind.
↳ Fine on paper, losing in the market.
→ Last quarter you were at 64.
↳ You’re improving.
↳ Find out what changed and do more of it.
→ Last quarter you were at 88.
↳ You’re sliding.
↳ Something broke and nobody told you.
Same number. Three different decisions.
A score with nothing next to it isn’t data.
Your team needs complete feedback.
They do the hard work of asking. Then they read the answer wrong.
SurveyMonkey builds the comparison in.
Its benchmarks put your score next to your industry and next to your own past results.
So you can see where you stand, what needs attention, and whether it’s getting better.
And building the survey takes minutes.
You describe what you want to learn in plain English and its AI writes it for you.
I’d never accept a P&L without last month next to it.
I’m not sure why we accept a satisfaction score that way.
Next time someone shows you a number, ask one question.
Compared to what?
Try SurveyMonkey: https://lnkd.in/eDBBFw8s
P.S. 10 businesses. Fully remote. Six built so far → itsnathanhirsch(.)substack(.)com
#surveymonkeypartner
Running a growing business means thinking beyond today.
The decisions we make now?
They shape the service clients receive tomorrow.
That's something I think about as ROCK continues to grow.
Our clients need more than someone to fix technical problems.
They also need people thinking ahead about their technology.
What needs improving?
What risks need addressing?
What comes next?
Both sides matter, and they need to work together.
That's why we're bringing our Service Desk and Technology Management teams closer together.
The Service Desk keeps day to day support moving.
Our Technology Managers focus on the bigger technology picture.
Together, they connect immediate support with longer term planning.
For clients, that means a more joined up experience.
Their technology gets attention today and direction for tomorrow.
It also helps our teams understand how their work connects.
So remember:
Growing a business means making decisions for the future.
But those decisions should always benefit the people you serve.
The decisions we make now?
They shape the service clients receive tomorrow.
That's something I think about as ROCK continues to grow.
Our clients need more than someone to fix technical problems.
They also need people thinking ahead about their technology.
What needs improving?
What risks need addressing?
What comes next?
Both sides matter, and they need to work together.
That's why we're bringing our Service Desk and Technology Management teams closer together.
The Service Desk keeps day to day support moving.
Our Technology Managers focus on the bigger technology picture.
Together, they connect immediate support with longer term planning.
For clients, that means a more joined up experience.
Their technology gets attention today and direction for tomorrow.
It also helps our teams understand how their work connects.
So remember:
Growing a business means making decisions for the future.
But those decisions should always benefit the people you serve.
BREAKING: OpenAI lost. Muse won.
Meta has the best AI agent - and no, I am not sponsored by Meta to tell you it's the best.
Enterpret launched Feedback Bench 1.1 (feedbackbench.com), which ranks 9 personal AI agents using public posts from Reddit, X, YouTube, the App Store and the Play Store.
1/ The variables
☑ Popularity: how many people talk about the agent on socials. Hype is a good proxy for usefulness.
☑ Customer love: how users rate it compared with the other agents. 0.5 is the peer average.
☑ The heaviest-weighted area is “Getting tasks done” (~25%). Users care most about whether the agent is capable of doing things. I feel the same.
2/ The ranking
🥇 Muse (Meta)
🥈 Hermes Agent (Nous Research)
🥉 Grok Bot (xAI)
4. Hark (Hark Labs)
5. OpenClaw (OpenClaw Foundation)
6. Instinct (Spear Street)
7. Gemini Spark (Google)
8. ChatGPT Dots (OpenAI)
9. Poke (The Interaction Co.)
3/ Why using an AI agent vs. Claude/ChatGPT?
Technically, ChatGPT or Claude are "agents". People are getting ahead of themselves with this word. But Muse/Hermes/Grok Bot go an extra mile.
↳ They are using their own computer (not yours) to get things done. We call it "computer use" and it's useful to get things done on their own.
↳ You don't need to select their "intelligence". No more models or efforts to choose from.
↳ It's made for personal use cases. Do your taxes, book flights, shop online, fill out a form, etc.
PS: Claude just announced "Duet", their own personal agent. I will try to get early access; who wants to be in?
Meta has the best AI agent - and no, I am not sponsored by Meta to tell you it's the best.
Enterpret launched Feedback Bench 1.1 (feedbackbench.com), which ranks 9 personal AI agents using public posts from Reddit, X, YouTube, the App Store and the Play Store.
1/ The variables
☑ Popularity: how many people talk about the agent on socials. Hype is a good proxy for usefulness.
☑ Customer love: how users rate it compared with the other agents. 0.5 is the peer average.
☑ The heaviest-weighted area is “Getting tasks done” (~25%). Users care most about whether the agent is capable of doing things. I feel the same.
2/ The ranking
🥇 Muse (Meta)
🥈 Hermes Agent (Nous Research)
🥉 Grok Bot (xAI)
4. Hark (Hark Labs)
5. OpenClaw (OpenClaw Foundation)
6. Instinct (Spear Street)
7. Gemini Spark (Google)
8. ChatGPT Dots (OpenAI)
9. Poke (The Interaction Co.)
3/ Why using an AI agent vs. Claude/ChatGPT?
Technically, ChatGPT or Claude are "agents". People are getting ahead of themselves with this word. But Muse/Hermes/Grok Bot go an extra mile.
↳ They are using their own computer (not yours) to get things done. We call it "computer use" and it's useful to get things done on their own.
↳ You don't need to select their "intelligence". No more models or efforts to choose from.
↳ It's made for personal use cases. Do your taxes, book flights, shop online, fill out a form, etc.
PS: Claude just announced "Duet", their own personal agent. I will try to get early access; who wants to be in?
I spent two days in Amsterdam with Atlassian!! I ate a ton of stroopwafels, but besides that, I (actually) learned 3 things about where AI is going:
1. The Teamwork Graph now reads your code.
2. A new protocol lets AI agents join your team.
3. Atlassian's MCP server now gives your AI 200+ tools.
Number two is the big one for me!!
It's called the Agentic Multiplayer Protocol (AMP).
See how it works here → https://go.atlss.in/o8snie
Your agents sit on the team with you. They pick up tickets, you check their work, and everyone can see who did what.
- Each agent gets its own ID (like a new hire).
- Every run, local or cloud, shows up in Jira.
- So if one messes up, you know exactly which.
And number three reads your projects and tickets (only what your login can see).
So you stop pasting context into a chat.
The AI you pick matters less than what it can see.
#ad #AtlassianPartner #AtlassianTeam26Europe
1. The Teamwork Graph now reads your code.
2. A new protocol lets AI agents join your team.
3. Atlassian's MCP server now gives your AI 200+ tools.
Number two is the big one for me!!
It's called the Agentic Multiplayer Protocol (AMP).
See how it works here → https://go.atlss.in/o8snie
Your agents sit on the team with you. They pick up tickets, you check their work, and everyone can see who did what.
- Each agent gets its own ID (like a new hire).
- Every run, local or cloud, shows up in Jira.
- So if one messes up, you know exactly which.
And number three reads your projects and tickets (only what your login can see).
So you stop pasting context into a chat.
The AI you pick matters less than what it can see.
#ad #AtlassianPartner #AtlassianTeam26Europe