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We’ve been told that money is the only type of wealth.
This is a lie.
The 4 types of wealth you MUST understand:
1 Financial
2 Social
3 Physical
4 Time
Most people prioritize 1 & 2 their whole life only to realize when they're told that 3 & 4 are the most important ones.
Let’s walk through each to form a more comprehensive view of wealth:
Financial Wealth
This is the most commonly understood type of wealth.
It's generally what people mean when they say someone is wealthy.
Financial wealth is all about money—the money or financial assets that an individual has accumulated.
Social Wealth
Social wealth is about our connection to others in our respective worlds—our relationships.
True social wealth wealth is built through the cultivation of meaningful relationships.
Spend time building a T-shaped web of connectivity—broad and deep.
Build an army of mentors and friends.
Cultivate deep relationships, but also embrace the power of weak ties.
Physical Wealth
Physical wealth is about your health, fitness, and vitality.
It is perhaps the most critical—and under-appreciated—type of wealth.
Without physical wealth, it is effectively impossible to experience and enjoy the benefits of any of the other types of wealth.
Physical health is built through the long-term compounding of daily actions.
There are 3 broad buckets:
• Exercise—daily movement
• Nutrition—mostly real foods
• Sleep—good sleep habits
It's never too late to start building—or restoring—physical wealth.
Health is wealth.
Time Wealth
Time wealth is about the freedom to choose:
• How to spend your time
• Who to spend it with
• Where to spend it
• When to trade it for other types of wealth
Time wealth is also about an appreciation for the precious nature of time—of its value and importance.
Too many people fail to realize the value of this precious asset until it is gone.
Treat time as your ultimate currency—it’s all you have and you can never get it back.
NEVER let the pursuit of financial wealth rob you of your time and physical wealth.
Want to take the first step to building your own business and creating wealth?
Here's your playbook: bws.ck.page/newsletter
Growth Labs retweeted
Introducing Brush: Our first vision-language model for design. 🖌️
Brush sees your design’s layout, layers and vibe the way you do, and edits alongside you. Fix one line of text, restyle a whole deck or build from a blank page.
See what Brush can do 👇
Growth Labs retweeted
Get exclusive access to 350,000+ people who are interested in all things AI and building w/ AI
We’re thinking of auctioning off an exclusive sponsorship (link and logo in bio) plus special demos and mentions in both of our AI Evolution accounts.
They have over 350,000 rabid followers across X and LinkedIn. Combined do over 4,000,000 impressions per month. Likely a lot more after the auction...
Call it a “takeover” if you want! Your brand will be featured and shared exclusively all month long.
Maybe we call it MOREvember? More eyeballs, more leads, and more new users. :)
Let me know in the comments. Would you bid on this?
1. Hell yes! We will win it.
2. I’m a maybe. Just have some questions.
3. Nah, I’d rather spend all our budget on Google and Meta ads!
Growth Labs retweeted
Infographics got me 30,000+ LinkedIn followers in 3 months and 1.9M impressions on a single post.
I've created over 1,000 since June 2023, and I put 500+ of them in one library.
Best part? It's 100% Free.
Here's how I make them:
1. I design the infographic FIRST, then write the text. When you publish one, 95% of the performance is about the infographic.
2. Keywords only, and 3 to 7 points max.
3. I optimize them for saves. People screenshot them and send them to colleagues (that's why my name and photo are at the top), then come back to them when they do the work.
We used this for a 2-month-old client brand: one cold call heatmap got 167,000+ impressions and 817+ saves.
My 2 infographics with the most impressions:
> The mistake killing your marketing strategy: 1.9M impressions;
> The 4 layers of marketing problems: 800,000+ impressions.
And at least 20, 30 copycats every time one goes viral 😅
So how can you use the library?
> Get inspired before you design yours: pick a format (a comparison, a framework, a step-by-step) and fill it with YOUR insights;
> Drop the ones you like into Claude with your next post idea, then ask which format fits. AI is only as good as the knowledge you give it.
Here's how to get it:
> Like this post
> Reply 'info'
> Follow me so I can dm it
Growth Labs retweeted
A shopper can close your pop-up and still be interested in buying.
They might want to:
- Read reviews.
- Compare products.
- Check sizing.
Once they’ve had time to look around, they may be more open to signing up.
That’s where @AliaPopups Smart Triggering comes in.
It looks at how people browse your site to decide who should see your popup again and when to show it during the same visit.
The message, design, and offer stay the same. Alia adjusts the timing.
Alia’s Smart Triggering can capture up to 40% more signups.
And with BFCM around the corner, those extra signups matter.
The more shoppers you capture now, the more time you have to build relationships with them before your promotions go live.
You can introduce them to your products, learn what they're interested in, and bring them back when it's time to buy.
That's especially valuable during BFCM, when ad costs rise, and competition for shoppers gets tougher.
Reaching people already on your email and SMS lists is more cost-effective than paying to acquire that traffic again.
So if you haven't looked at your onsite acquisition strategy ahead of BFCM, now's the time.
Every visitor who leaves without signing up is a missed opportunity to grow your owned audience.
My link gets you a special 30-day free trial of Alia so you can try Smart Triggering before BFCM: hubs.la/Q04y08-G0
🤝 Paid partnership
Growth Labs retweeted
While we're talking about popups, here are 4 other quick things I'd also do:
1. Turn the popup off for anyone who bought in the last 30 days. A welcome discount for a recent buyer just trains them to wait for a code.
2. Use different popups by page. Homepage for email signup. Product page for restock or size alerts. Cart for free shipping over a minimum. One offer sitewide is usually the wrong offer for most of those pages.
3. If someone lands from an email, don't ask for their email again. Either skip the popup or show something useful like early access or a new drop.
4. Cap how often the same person sees it across days, not just in one visit. Closing it once shouldn't mean they see it again every time they come back that week.
Worth layering on top of Smart Triggering.
A shopper can close your pop-up and still be interested in buying.
They might want to:
- Read reviews.
- Compare products.
- Check sizing.
Once they’ve had time to look around, they may be more open to signing up.
That’s where @AliaPopups Smart Triggering comes in.
It looks at how people browse your site to decide who should see your popup again and when to show it during the same visit.
The message, design, and offer stay the same. Alia adjusts the timing.
Alia’s Smart Triggering can capture up to 40% more signups.
And with BFCM around the corner, those extra signups matter.
The more shoppers you capture now, the more time you have to build relationships with them before your promotions go live.
You can introduce them to your products, learn what they're interested in, and bring them back when it's time to buy.
That's especially valuable during BFCM, when ad costs rise, and competition for shoppers gets tougher.
Reaching people already on your email and SMS lists is more cost-effective than paying to acquire that traffic again.
So if you haven't looked at your onsite acquisition strategy ahead of BFCM, now's the time.
Every visitor who leaves without signing up is a missed opportunity to grow your owned audience.
My link gets you a special 30-day free trial of Alia so you can try Smart Triggering before BFCM: hubs.la/Q04y08-G0
Growth Labs retweeted
@supabase never marketed to agents. It built for great engineers, and agents wanted the same things.
Opening keynote at Un_prompted: @AntWilson with @Michael_Robinsn on the stopwatch test and the day Lovable looked like a DDoS attack.
Full recap with takeaways:
craftventures.com/articles/a…
Growth Labs retweeted
Having sex at 23:
Him: I can go 45 mins
Her: I can do a split upside down
Having sex at 38:
Growth Labs retweeted
Google accidentally revealed how its AI search systems choose which sites to recommend and send traffic to.
Now that none of it is much of a secret anymore, let’s talk about it.
With the new Google Search rolling out as we speak, it has never been more important to understand how to maximize value from this marketing channel.
If you want to see where your site stands across Google, ChatGPT, Claude, Perplexity and broader AI search, you can do so for free here:
seo-stuff.com/free-audit
Let’s start from the beginning.
Metehan Yesilyurt, who previously went viral for his analysis of Perplexity’s ranking factors, recently broke down Google AI ranking factors in a fascinating blog post.
A lot of what he found also lines up with what SEO Stuff (seo-stuff.com/ai-seo) has been doing all year to get customers more traffic and sales.
Specifically with the done-for-you package:
seo-stuff.com/gold-plan-pack…
Basically, Google sells much of the underlying retrieval infrastructure through Google Cloud Discovery Engine, also called Vertex AI Search.
By analyzing what Discovery Engine exposes, Yesilyurt was able to show how Google’s AI retrieval and ranking stack works.
The seven major signals he identified were Base Ranking, Gecko embedding similarity, Jetstream cross-attention relevance, BM25 keyword matching, predicted click-through rate, freshness and Boost/Bury rules.
In simpler terms, Google is combining traditional ranking signals with semantic similarity, deeper contextual relevance, keyword matching, engagement predictions, recency and manual business logic.
Discovery Engine exposes a maximum chunk size of 500 tokens, roughly 375 words, while ancestor headings can travel with each chunk and tables, images and page layouts can all be parsed with Gemini-enhanced understanding.
That means important ideas need to make sense inside relatively small, clearly labeled sections.
If your content is one massive wall of text, Google has a much harder job extracting the exact information it needs.
This is also why I keep talking about question-based headings, direct answers, clear comparisons and structured pages.
Additionally, Discovery Engine shows Google processing structured data using separate Searchable, Indexable and Retrievable settings.
Those can affect whether information can be found, used for filtering or ordering and surfaced by the model. Mind you, they are independent.
So a field can potentially influence retrieval or ranking without necessarily being displayed in exactly the same way.
That gives us a pretty significant clue about why structured data continues to matter as Google becomes more AI-driven.
Discovery Engine also reveals a four-stage pipeline: Prepare, Retrieve, Signal and Serve.
Google first interprets the query, handles things like synonyms and intent, then retrieves and chunks relevant content, applies ranking signals and finally uses Gemini to generate the response with grounding and safety rules.
Traditional Search, AI Overviews and AI Mode can be thought of as different configurations built on much of the same underlying retrieval infrastructure.
So what does all of this mean for businesses?
You need to optimize for several layers at once.
Your content needs strong semantic alignment so Google clearly understands what the page is about, enough contextual detail to handle nuanced searches such as comparisons and “best for” queries, and clean chunk-level structure so useful answers can be extracted without digging through hundreds of words of filler.
That means clear definitions, direct answers, comparison language, question-based headings, concise sections, factual claims, TLDR summaries, clean HTML and useful tables where appropriate.
This is exactly why SEO Stuff content is structured the way it is.
The done-for-you package combines 10 long-form, search-focused articles with three DR50+ contextual authority placements:
seo-stuff.com/ai-seo
The content is designed around semantic relevance, keyword alignment, structured sections, comparisons, freshness and extractability, while the authority placements help strengthen the underlying authority of the pages and domain.
The Premium Content Bundle takes the same idea much further:
seo-stuff.com/premium-conten…
It includes 60 long-form articles designed to build broader category coverage, stronger semantic associations and more opportunities for Google to retrieve useful sections across the different questions customers ask.
Then there is the Premium Authority Bundle:
seo-stuff.com/premium-backli…
It adds three contextual DR50+ authority placements designed to strengthen search authority and reinforce the company’s identity and category across the web.
And if you want to see where your site stands across Google, ChatGPT, Claude, Perplexity and broader AI search, you can do so for free here:
seo-stuff.com/free-audit
You can have 4.5+ stars, 100+ Google reviews, and still be completely invisible in ChatGPT, Claude, etc.
A new study checked 6,682 local businesses across 25 U.S. markets.
85.6% were never named by ANY of the four AI assistants tested, and among businesses with 4.5+ stars AND more than 100 Google reviews, 1,611 were still never named.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
seo-stuff.com/free-audit
Alright, so Seeably analyzed dentists, personal injury lawyers, plumbers, roofers and med spas across New York, Los Angeles, Chicago, Houston and Phoenix.
Then it tested local recommendation questions across ChatGPT, Gemini, Claude and Perplexity.
Of 6,682 businesses, 5,721 were never named once, and every single market had at least 80% of its Google-listed businesses go unnamed.
More Google reviews were associated with a better chance of being named, but they were nowhere close to a guarantee.
Among businesses with more than 1,000 Google reviews, 47% were STILL never named.
Seeably even manually verified businesses with nearly 9,000 reviews, 6,600+ reviews and 3,500+ reviews that never appeared.
So if your local SEO strategy is "Get lots of Google reviews and we'll be fine," that is clearly not enough anymore.
Among businesses WITHOUT a website, 4.4% were named by at least one AI assistant.
Among businesses WITH a website, 17.5%.
So imagine two plumbers.
Both have 4.8 stars and 500 reviews.
One has a generic homepage and a contact form.
The other has detailed pages for water heater repair, drain cleaning, leak detection, emergency plumbing, pricing, service areas, FAQs and licensing.
Those businesses may look similar if you're only counting stars - but their information footprints are completely different.
Mind you, businesses' own websites represented just 20.5% of the cited-page mix.
Lists, articles and other third-party sites? 52.7%.
Directories and review platforms? 26.7%.
That is why SEO Stuff combines first-party content with authority building:
seo-stuff.com/ai-seo
Also, I've talked about this before, but the four AI assistants rarely agreed.
Across the 25 markets, they recommended 1,971 different businesses.
70.7% of those businesses were named by ONLY ONE of the four assistants.
Just 4% were named by all four.
So being visible in ChatGPT does not mean you're visible in Claude.
Showing up in Gemini does not mean Perplexity agrees.
You get the idea.
The recommendation concentration was interesting too.
In the typical market, the five businesses AI recommended most often captured 33% of all recommendations.
Just five companies.
And among businesses that DID get named, more than half appeared in only one answer.
There was also an interesting pattern in the ratings themselves.
Businesses rated 4.5 to 4.7 stars were named by at least one assistant 20.4% of the time.
Businesses rated 4.8 to 5.0? 18.4%.
All of which is to say...
Local businesses increasingly need BOTH traditional local SEO and AI Search visibility.
Build the website, reviews and authority.
Then track whether those systems are recommending you.
Because being one of the best-reviewed businesses in your city matters a lot less if the customer's AI assistant never tells them you exist.
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
Growth Labs retweeted
Manipulation is when someone supports you through your trauma but secretly sabotages your healing. It's a red flag if your support system consistently leaves you feeling smaller, more isolated, or more doubtful of your own progress, even when they say all the right things.
Growth Labs retweeted
This is pure evil. OpenAI and Anthropic built their coding apps for their own AI, and someone just plugged 40+ other AI companies into them.
Just imagine opening OpenAI's Codex and asking Kimi or DeepSeek to fix your code. Or opening Claude Code and handing the job to Gemini.
That's opencodex, built by a developer named lidge-jun.
Here's how this works:
Every coding app speaks its own language. opencodex translates on the fly, so your app sends the request and whichever AI you picked answers it. Switching is just typing a different model name.
> Claude inside Codex
> Gemini inside Claude Code
> DeepSeek anywhere
> Kimi anywhere
Done playing? One command puts everything back exactly how it was, like it never happened.
Honestly, just stay loyal to one company. It's easier.
Link in the comments so you can ignore it 😉
Growth Labs retweeted
🚨THIS IS INSAAAAANE!
Claude Opus 5.5 can now turn almost anything into an animated video in less than 5 minutes.
From photos and infographics to charts, logos, text, and product images.
Use these prompts right now. 👇
Growth Labs retweeted
Why do some men look unstoppable at 25–35, then struggle to hold everything together at 35–50?
What changes - the man, the pressure, or the cost of his earlier choices ?
Growth Labs retweeted
A SEDENTARY LIFESTYLE: THE SILENT KILLER DISGUISED AS COMFORT.
Your chair feels harmless. Your routine feels normal.
But how much of your life happens sitting down?
Read this…
Growth Labs retweeted
My back hurts just watching this robot walk. 😂
@RewardAI_ just released new footage of its OM-1 model controlling a humanoid that climbs into a Cybertruck, picks up packages, and carries them down stairs.
Some of those movements look absolutely exhausting.
The technology behind it is pretty interesting.
OM-1 learns directly from humans wearing a sensor-equipped glove called Omnibody Hand. It captures hand movements, touch, proximity, and visual information while people perform everyday tasks.
According to Reward AI, the model requires no teleoperation or robot-generated training data.
The same policy can control different robot bodies, including industrial arms and humanoids. A separate control layer handles the dynamics of each machine.
The company also claims OM-1 can learn entirely new tasks from less than 30 minutes of human demonstration data.
I'd love to see success rates across hundreds of deliveries, especially on stairs with different package weights. There's still a big difference between a successful demonstration and a reliable delivery service.
But watching a humanoid adjust its grip while climbing down stairs is already pretty impressive.
Great work by @zipengfu, @chenwang_j, and the Reward AI team.
Full technical breakdown: rewardai.com/blog/OM-1/
——
Weekly robotics and AI insights.
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