Marc Jensen Baxter

If you’re going through hell, keep going…

[ₕₐₘₚₜₒₙ @hamptonism]

Peter Thiel literally walks you step by step on how to succeed in 2026:

[Elon Musk @elonmusk]

How to use Grok Build

[Marc Jensen Baxter @MstrBxtr]

@cleoabram The Luce is the ugliest Ferrari I’ve ever seen. You know it’s bad when ChatGPT comes up with a better design for the same car.

[Dr. Zev Zelenko @zev_dr]

Here’s Dr Zelenko teaching us how to treat Hantavirus back in 2022. This will be the most enlightening 2 minutes and 47 seconds of your life. Please listen carefully.

[michelle @michelleakin]

i am once again recommending that you make these potatoes, they have changed my life.

[Ziwen @ziwenxu_]

INSTEAD OF SCROLLING ALL NIGHT.

Spend 60 minutes with this instead.

Obsidian + Browser-use = 24/7 Knowledge Ingest.

Your assistant builds its own brain while you sleep.

The people who implement this tonight will never wake up the same.

Read it and Bookmark it now.

[Joe Tippens @JoeTippen]

🔥Dr. Berg explains how cancer behaves like a parasite.

The shocking part?

Cheap antiparasitic meds like Fenbendazole and Ivermectin target those exact mechanisms.

Why no big clinical trials from major centers? Expired patents = no pharma profits.

Follow @ZakariaMDv3 .

[0xMarioNawfal @RoundtableSpace]

ANTHROPIC JUST RELEASED THE OFFICIAL PLAYBOOK FOR BUILDING A COMPANY WITH CLAUDE CODE.

CEO: 1 human. Employees: AI agents. Operations: fully automatic.

The zero-headcount company is no longer a joke.

[Blaze @browomo]

This Chinese guy built a Second Brain in Obsidian and every morning gets 3 trading ideas that brought him $180,000 in 6 months.

Inside he runs a pipeline of 6 workflows on N8N that automatically pulls every read article, listened podcast, and voice note into a shared Obsidian vault, and a neural network analyst every morning at 6:00 finds connections between the fresh and the old and puts the 3 strongest trading ideas for the day into the inbox.

No analytics desk, no Bloomberg terminal, no Telegram chats with traders. Just a Mac Mini by the wall, an iPhone in the pocket, and 1 local Obsidian vault.

And traditional quant funds keep entire teams of 8 people on salary for the same flow of insights, while his expenses are only subscriptions to Readwise, Whisper API, and N8N hosting.

6 pipelines process about 200 sources a day and close the monthly API bill at about $120.

The Mac Mini itself stores the entire vault and keeps the neural network analyst running 24/7, and from the iPhone the owner drops any idea he hears on the go into a Telegram bot, and it lands in the vault inbox in just 30 seconds.

The starting instruction that sits in the VAULT.md file at the root of his vault looks like this:

"you are the AI analyst of a solo trader. you read his vault every morning at 6:00, find connections between fresh and old notes, and deliver 3 trading ideas he can verify in the hour before the market opens.

pipelines:

// Reader (pulls every article and highlight from Readwise, Twitter bookmarks, and Kindle into /notes)
// Listener (transcribes podcasts through Airr and voice notes through Whisper, puts them in /notes)
// Catcher (accepts any message from the Telegram bot and writes it to /inbox with a timestamp)
// Connector (every night reads across the entire vault and updates the connection graph between 4,000 notes)
// Briefer (at 6:00 AM writes a brief: 3 trading ideas for today plus the emerging thesis of the week, puts it in /inbox)
// Mobile (lives in the iPhone, answers any question about the vault by voice, and confirms alerts while the owner is on the go).

you wake the owner with a push notification only when a fresh note contradicts his active thesis or when 1 of the 3 morning ideas has a confidence score above 90%."

This instruction immediately sets the role for the system and the limits of its autonomy.

It knows it is supposed to connect new with old on its own.

It knows it is supposed to prepare 3 trading ideas every morning on its own.

It knows it connects the live trader only when a thesis is contradicted or an ultra-confident idea appears.

→ Reader pulls about 80 articles and highlights a day from Readwise, Twitter, and Kindle

→ Listener transcribes 4 to 6 podcasts a week through Airr and Whisper

→ Catcher intercepts all voice and text ideas through the Telegram bot, averaging 15 to 20 a day

→ Connector updates the connection graph between 4,000 notes every night, adding 25 to 30 new edges

→ Briefer puts a fresh brief with 3 trading ideas and the emerging thesis into the inbox at exactly 6:00

→ Mobile answers any question about the vault by voice and confirms alerts right from the iPhone

And only when a new note contradicts his active thesis or 1 of the ideas breaks 90% confidence does the orchestrator raise the owner with a push notification.

And when the trader at that moment is driving to the gym or eating breakfast, the Mobile agent in his iPhone answers any quick question about the vault by voice: what he wrote about this ticker last week, which 3 sources support the idea of long NVDA, and what counter-thesis already sits in his notes.

The trader makes the decision and sends the order before New York opens.

The fresh brief from last Monday looks like this:

"reader: 78 materials added over the weekend, 11 of them about semiconductors, 4 about energy, 3 about biotech. passing to connector."

"connector: 27 new connections found between fresh materials and the vault, the strongest one is that the Goldman report from Wednesday matches the NVDA thesis you wrote 3 weeks ago."

"briefer: 3 trading ideas for today: long NVDA (confidence 0.84), short Tesla at the close of the quarterly report (0.71), watch URI (0.62). emerging thesis of the week: the market is underpricing capex on data centers."

"alert: your fresh note about long-term risk in semis contradicts the NVDA thesis. sending for review."

In his work setup there is no cloud server, no team of analysts, and not even a Bloomberg subscription.

At home sits a Mac Mini with a local Obsidian vault, on top run 6 N8N pipelines and a neural network analyst, and the same vault mirrors to a secure terminal on the iPhone.

Out of everything I have seen this year, this is the cleanest solo trading setup on a second brain: $120 a month on the API, about $30,000 a month into the account, and between them 6 pipelines, 4,000 connected notes, and 1 iPhone in the pocket.

[Nick O’Neill @chooserich]

I want to share how this was uncovered for anybody who feels physically off in the hopes it may help...

I'm years into this existing and it was incidentally uncovered last September.

Here's what the doctors missed beginning in 2024 and what I'd do different ⬇️

[James Perloff @jamesperloff2]

My latest YouTube video is “The Censored Story of Rudolf Hess.” https://t.co/OIiz9l5W5Z I return to this story 24 years after it was censored. Had events surrounding Rudolf Hess’s flight to Scotland in 1941 played out the way they were originally planned, the course of history might have been dramatically changed.

[Marc Jensen Baxter @MstrBxtr]

Or tag along with another BoC aficionado :)

[Marc Jensen Baxter @MstrBxtr]

If anyone has an extra Boards of Canada ticket for London, I’m on the waitlist :( - I will buy one, please let me know 🙏🏻#BoardsOfCanada #BoC

[Allen Braden @allen_explains]

This 2-hour Stanford lecture breaks down how models like ChatGPT and Claude are actually built, clearer than what many people in top AI roles ever get exposed to.

Save this and set aside two hours today. It might end up being the most valuable thing you learn all week.

["Doc" Hypnosis 🧠 | BowTied Brain-Hacking @BowTiedTrance]

This was one of Scott Adams's best moments in crowd-level hypnosis, imo.

"I will rewire your brains to relieve anxiety"

In hindsight ... it's crazy that he did this almost exactly two months before the COVID lockdowns started. Almost to the day.

Wow.

[Rony @Ronycoder]

Instead of watching an hour of Netflix, watch this 1 hour Yale lecture. It will teach you more about options trading and the exact models hedge funds use than most people learn in their entire careers on Wall Street.

[Peak Thinkers @PeakThinkers_]

This 1 hour lecture from a Carnegie Mellon professor who had 3 months to live will teach you more about living than every self-help book you’ve ever read combined.

Bookmark this & give it 1 hour today. It’s the most productive start you can give your week.

[Neyazuddin Ansari @riyazz_ai]

🚨 Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies.

Most people will never watch it.

And instead of hype, he broke down what actually makes startups work.

No fluff. Just reality.

He explained that ideas don’t matter nearly as much as execution. The difference between something small and something massive isn’t the idea it’s how relentlessly it’s built and improved over time.

He also emphasized that the best founders don’t chase everything. They focus on one thing that truly matters and push it forward with extreme clarity. Distraction kills more startups than competition ever will.

And then there’s scale. Truly big companies aren’t built for a niche they solve problems that millions of people care about. If the market isn’t large enough, the outcome won’t be either.

His biggest insight? Startups don’t win because they’re smarter they win because they stay in the game longer and iterate faster.

That’s why this masterclass stands out.

Because while most people are waiting for the perfect idea…

The best ones are already building.

[Md Riyazuddin @riyazmd774]

🚨 In 1992, a MIT lecture quietly revealed more about product and sales than most 2-year MBAs ever will.

Most people have never seen it.

It came from Steve Jobs and instead of teaching theory, he broke down how great products actually win.

Watching it today feels unreal.

He explained that people don’t buy products they buy meaning. The best products aren’t just functional, they connect with how people see themselves. That’s why some ideas spread effortlessly while others die, even if they’re technically better.

He also made it clear that marketing isn’t about features. It’s about clarity. If you can’t explain why your product matters in simple terms, it won’t matter at all. Complexity doesn’t impress it confuses.

And his biggest edge? Obsession with experience. Not just what the product does, but how it feels. The small details, the simplicity, the story that’s what separates good from unforgettable.

That’s why this MIT lecture still hits hard.

Because while most people are building products…

Very few understand why people actually buy them.

[CyrilXBT @cyrilXBT]

INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a skill that most people will not have in 2 years.

The people who skip it will still be watching Netflix next year wondering why nothing in their life has changed.

Your call.