
GeniusPothead 💹🧲
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I built a 3-agent SDR team using Claude Opus 4.6.
Research. Qualification. Closing.
Most B2B teams still run outbound like it’s 2019.
Manual research. Gut-feel qualification. Random demos.
Meanwhile, AI agents:
• Detect buying signals
• Qualify leads in real time
• Start & manage conversations
• Book meetings automatically
So I built 3 agents that run the entire SDR workflow.
You give ICP + product. They do the rest.
Want access?
Connect with me
Comment “AGENTS”

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I've worked with 1,500+ agency owners.
My clients have added over $500M in annual combined revenue.
And the #1 thing that used to eat their week alive was work a $15/hr VA should've been doing.
Competitive research. Client reports. Landing pages. Email drafts. SOPs.
Cowork does all of it.
One prompt. You step away. You come back to a finished file.
The problem: most agency owners can't set it up.
Not because they're not smart — because nobody walked them through it.
So I built a document you upload directly into any LLM.
The LLM reads it then coaches you through setup, one step at a time, confirms you're good before moving on.
No YouTube tutorial. No course to sit through. Just an LLM holding your hand until your AI teammate is live and knows how you work.
By the end:
— It knows your voice
— It's connected to your tools
— It's producing finished work you can send
Comment "COWORK" and I'll DM it to you.
Must be following to receive it.

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A 9-figure founder told me today he had no idea this existed.
That scared me.
Because if he doesn't know — you probably dont either.
Perplexity just released something called Personal Computer.
An always-on AI agent running 24/7 on a Mac Mini.
It knows your files. Your CRM. Your email. Your ad accounts.
It doesn't wait for you to open it.
It just works.
So I put together a free guide that breaks it all down:
→ What it actually is in plain English
→ How to set it up this weekend
→ 5 things it will run automatically by Monday
→ How founders are using it to grow without hiring
The window where this is a competitive advantage is short.
Comment "PC" — I'll DM you the guide before everyone else catches on.

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Anthropic ran their entire marketing operation with one person.
$380 billion company.
Paid search. Paid social. SEO. Email. App stores.
One non-technical hire doing all of it — for 10 months.
I pulled it apart.
Compared it to every system we've built across the clients we've worked with.
Then asked myself one question:
If I had to reverse engineer this from scratch — what would it actually look like?
Turns out the architecture isn't that complicated.
I mapped the whole thing into a 47-page PDF you can upload directly to any LLM.
It coaches you through building your own version step by step.
Comment "marketing" and I'll send it over.

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I found a way to sell AI infrastructure to companies doing $2M-$50M/year.
ALL with no sales team, enterprise connections or cold calls.
Businesses are desperate for Ai implementation right now and anyone can do this.
But most people get it wrong and that's why they fail.
They lead with tools, ex) "we build automations" or "we integrate AI."
That means nothing to a CEO managing 40 people and $5M in revenue.
They pitch features instead of showing the cost of doing nothing.
And they price hourly, so the buyer treats them like a freelancer instead of a partner.
Mid-market and enterprise companies are bleeding $100K-$500K/year on broken processes, bloated SaaS stacks, and manual work they don't even realize they're paying for.
They WANT to buy AI infrastructure, they just don't trust most people selling it.
Because most people selling it sound like every other agency.
I created a guide breaking down exactly:
→ How to position AI infrastructure so executives actually listen
→ The discovery framework that turns a 30-min call into a $25K-$100K project
→ How to calculate ROI so the price sells itself
→ The 3-pillar strategy process that closes 60%+ of qualified prospects
→ Why "sell the map before you sell the build" changes everything
RT + reply "INFRA" and I'll send you the FULL guide (must follow so I can DM)

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there were a lot of things ethereum got wrong
a few years ago I called most of these out aggressively, got trolled for it, and most turned out as predicted
(this wasn't particularly hard since they were quite obvious, but it seemed social pressure acted as enough of a deterrent)
but it would be wrong to rule out ethereum for past mistakes. making mistakes is the norm when building anything
you just need a handful of successes, those make up for all the failures
so then you must look at what they got right
i) client decentralization + inactivity leaks is a good architecture for reliability and predictiveness for low-velocity stuff
ii) that low velocity stuff is actually quite sticky and useful, especially in the context of lending and stables
most people mistake the cause for this as "decentralization", but that's just not the case, it's network affects from prior trust, it's basically analogous to ETFs in terms of flows
i.e assume ethereum nodes dropped by something like 25% or the client diversity got uneven again, would that cause a mass outflow of sticky capital? unlikely
iii) good coin distribution
iv) recent shift in roadmap to scaling L1. while this isn't enough for anything above low-velocity still, that doesn't really matter for their target market
v) EVM is relatively easy to work with for a larger % of the dev population. this likely won't be much of a factor going forward, but it did matter in the path and the path is important
so while I think there's a lot of unanswered questions and bad decisions still, it would be wrong to rule them out because clearly they did get some important points correct
Logan Jastremski@LoganJastremski
I'm honestly surprised anyone cares about Ethereum in 2026 They made a lot of individuals wealthy, but optimized for the incorrect things with low hardware requirements and technical complexity Winning finance and trading is the only thing that matters and they’re not even in the competition
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*TESLA RISES TO SESSION-HIGH 3.3% ON AUSTIN ROBOTAXI NEWS
Elon Musk@elonmusk
Just started Tesla Robotaxi drives in Austin with no safety monitor in the car. Congrats to the @Tesla_AI team! If you’re interested in solving real-world AI, which is likely to lead to AGI imo, join Tesla AI. Solving real-world AI for Optimus will be 100X harder than cars.
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will do, waiting for the final dip
Watcher.Guru@WatcherGuru
JUST IN: Binance Founder CZ says "crypto will make you not need a job." "Buy and hold now, retire in a few years."
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@WatcherGuru @cz_binance will do, waiting for the final dip
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@zerohedge If you short metals, say hi to Margin. If you hold, enjoy the ride
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