Yusuf The Goal Chaser

Abu-Dhabi born and raised.
Entrepreneur driven by faith, family, and early mornings. Sharing insights on business, productivity, and personal growth📈🚀

[Elitza Vasileva @ElitzaVasileva]

The second sponsor slot on @owndotpage has been claimed by @DStartupsubmit! 🚀

Thanks for the support - I’m excited to give more visibility to the cool products being built in our community.

Slot #3 is still available. After that, the next opening won’t be for another 60 days, as next month’s exclusive sponsor slot is already booked!

[Dan Martell @danmartell]

It's crazy how smart people who overthink lose to average people who just start.

[Gennaro @fourweekmba]

Anthropic's IPO Filing and the $2 Trillion Question Public Markets Will Actually Answer

https://t.co/fYBI2J3pSl

#AI #Anthropic #IPO

[Benzinga @Benzinga]

The 10-year Treasury now pays more income than 118 U.S. companies worth over $100B, including Apple ($AAPL), Nvidia ($NVDA), Alphabet ($GOOGL) and Broadcom ($AVGO).

Liz Ann Sonders (@LizAnnSonders) says only 3.85% of S&P 500 stocks now yield more.

[Ben Radack 🏝️ @benradack]

You can test 30 ads in a single ad set if you do it right.

Drop all 30 ads into one ad set. Highest volume. Set the budget to at least 4x your average CPA.

Here's how it plays out:

→ Meta picks 1-2 favorites within the first few days
→ Duplicate those to your scaling campaign
→ Turn the favorites off inside the testing ad set
→ Meta is now forced to look at the rest and pick new ones

Repeat that loop until nothing's worth keeping. Like carving down a marble block.

I use this when there isn't the budget to run 10 separate ad sets but I still want creative volume moving through the account. It's the fastest way to find winners when clean structured testing isn't an option.

The tradeoff is real though. Meta locks onto its favorites early, so some potential winners get skipped. And you won't learn why anything won. Just that it did.

But when you need winners and don't have time, this gets you there.

[Benzinga @Benzinga]

AI-native startups are about 12% smaller than comparable companies, and the share of their workforce in entry-level roles is roughly 15% lower, per Harvard Business School and INSEAD.

[Kurtis Hanni @KurtisHanni]

Here's what actually happens when we triple a company's profit:

(Hint: it's not an Andy Elliott type pep talk about selling more)

We start with the P&L, but we don't stop there.

Most profit leaks originate in operations, and the P&L reports the damage afterward.

So we go line by line: labor, materials, pricing, rework, and overhead.

Not as one blended number. 

By service line.

That's where it gets interesting.

Almost every time, one service line is quietly subsidizing another without anyone realizing it.

The "profitable" part of the business is often covering for the part that's losing money on every job.

Once you can see that split, the fix is usually not complicated.

It's a pricing adjustment on the underpriced line, a process fix on the high-rework line, or in some cases, walking away from a segment entirely.

For one contracting firm, this exact process is how we tripled their profit.

Not by telling them to chase more revenue, but by finding where the business was actually losing money and fixing that first.

Most owners assume a profit problem means a sales problem.

Usually it means nobody has looked closely enough at where the money is actually going.

[George Ten @GrammarHippy]

You can mess up.
You can be late on your promises.
You can do whatever you want.

Just pick up the phone. Communicate.

I’m telling you. More people lose their clients for lack of communication than anything else.

Yes — I am talking to you. Lawyer. Who promised mountains and stopped picking up the phone.

[Vitalii Dodonov @vitaliidodonov]

Distribution is everything

[Dan Martell @danmartell]

The curse of discipline isn’t that every day looks the same.. it’s that every year looks the same.

[Gennaro @fourweekmba]

Five roles appear in every canonical cell:

→ Cell lead (holds strategic frame)
→ Builder-PM (works the overhang)
→ Frontier engineer (prototypes unreleased capability)
→ Designer-prototyper (demo → product)
→ Operator (non-building work)

7-8 out of 10 are builders.

[Gennaro @fourweekmba]

Anthropic: 1,000 people.
Google: 180,000 people.

Anthopic ships competitively.

The difference isn't talent. It's geometry.

🧵

[Kamil Sattar | The Ecom King @kamil_sattar]

The 2022 brand stack vs the 2026 brand stack:

2022 → Shopify + Klaviyo + media buyer + 3 freelancers + agency retainer
2026 → Shopify + Klaviyo + Claude + Claude Code + GPT Image 2 + Seedance

Same output. A fraction of the cost. Ten times the speed.

You can run a serious brand from a laptop now. Most people haven't updated their mental model.

[Audrey✩ @Audrey7866]

Collecting knowledge is not enough.

Write what you learn. Build something Teach someone Solve a real problem.

Knowledge stored in your mind is only potential.

Knowledge becomes valuable when you put it into action.

[Gennaro @fourweekmba]

Anthropic: 1,000 people.
Google: 180,000 people.

Anthopic ships competitively.

The difference isn't talent. It's geometry.

🧵

[Gennaro @fourweekmba]

Three companies. Three IPO filings. $3.5 trillion in combined target valuation.

The AI economy's first real test.

🧵

[Gennaro @fourweekmba]

dario just called the anthropic-decart talks a research acceleration play.

everyone's calling it a talent grab. it isn't.

anthropic, databricks, openai are all buying the same thing: the cost floor. whoever runs inference cheapest sets the price of intelligence.

the model is the engine. efficiency is the fuel tank.

you win by burning less.

https://t.co/SBgK7tFFkR

[Richard Illingworth @RCIllingworth]

right now, ~75% of your cold emails COULD be landing in spam (effectively invisible)

the FULL infrastructure stack that we��d use to solve this:

(bookmark)

1) separate sending domains, warmed for 2 weeks before anything goes live. not the 6-week timeline the internet keeps repeating.
2) Google Workspace inboxes kept to a low ratio per domain, so one flag never sinks the rest.
3) a list validated properly before you send. databases run around a 75% clean rate on average, and the bounces from everything that fails are what wreck your sender reputation.
4) placement you read from your own reply data, including out-of-offices, instead of paying a tool to guess.
5) a sequencer throttled to 15-20 emails per inbox a day. push past that and you're trading months of inbox life for a short spike of volume.
6) one offer worth replying to.
7) someone reading the replies daily, so a warm lead never goes cold waiting on you.

if you only fix a few of these, start with the first four.

• your domains
• your inboxes
• a properly validated list
• honest placement data

THESE are what decide whether anything else even gets a chance.

[Kevin O'Leary aka Mr. Wonderful @kevinolearytv]

I couldn’t be more proud of my son @trevoroleary and his business partner @cnitschelm

Congratulations to the @UpliftCorp team on launching with a $7M seed round led by a16z. Building the foundation for a more dignified life starts at home - and this is just the beginning for them.

[Gennaro @fourweekmba]

sam altman's CFO just confirmed $40B run rate. doubled in 8 months.

headlines: hypergrowth. it isn't.

it's a cost gap widening at the same speed as revenue. every new dollar of demand pulls more compute behind it.

the engine is running. the fuel bill is the real IPO story.

this is the product overhang doctrine, live.

https://t.co/s1C8bk9Ttg