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@pomiderix

Adapt or be replaced

Katılım Haziran 2026
20 Takip Edilen11 Takipçiler
pomider
pomider@pomiderix·
A guy pasted one prompt into Claude Fable 5. It returned a full dropshipping business plan with 8.3x margin products and a launch checklist. He hasn't written a single line since. The prompt scans DTC trends, supplier costs, competitor gaps, and margins in one pass. What Claude returned: Hot-Compress Eye Mask — $6.42 cost → $29.99 sell (4.7x margin) Breazy Mouth Tape — $2.41 cost → $19.99 sell (8.3x margin) Both viral-tested. Both ready to source from Zendrop. Claude Code built the store while he made coffee. That's 1 workflow out of 60 in the same playbook — content, leads, offers, automation. He didn't launch a business. He launched a factory that launches businesses. Save this. The full 60-workflow map is in the article below ↓
CyrilXBT@cyrilXBT

x.com/i/article/2072…

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pomider
pomider@pomiderix·
A guy walked his phone around the apartment for 3 minutes. The scan turned into a 360° tour on his Airbnb listing. Bookings jumped from 12 to 28 nights a month. He didn't hire a photographer. He didn't buy a Matterport rig. He didn't stage a thing. The scanning app was built by Claude Code — a weekend project, not a $2,000 service. Every guest now walks through the whole apartment before they open the listing. Cancellations dropped. Reviews jumped. Nightly rate up 40%. Same apartment. Same neighborhood. Different photos. At his new booking rate, the math is $15,000/month. He didn't upgrade the property. He upgraded how buyers see it. Save this. The full Claude + Airbnb setup is in the article below ↓
RetroChainer@RetroChainer

x.com/i/article/2076…

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pomider
pomider@pomiderix·
@coates_dod36016 @AmitSha77280075 fair point but in this case anthropic engineers use claude more than anyone else on earth theyre both the mechanics and the drivers the analogy holds just barely
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Kat Patel
Kat Patel@coates_dod36016·
@pomiderix @AmitSha77280075 but that's a terrible analogy. You want people who teach you to drive to be people who are experts at driving, not at engineering
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Amit Sharma
Amit Sharma@AmitSha77280075·
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and Bookmark it now
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pomider
pomider@pomiderix·
@51bodila singer buying gold and fink pulling out of us real estate on the same stage is the loudest coordinated signal ive seen in years these guys dont say things by accident this is positioning disguised as commentary
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bodila
bodila@51bodila·
Paul Singer told Larry Fink: "Trump - a guaranteed global depression" - so BlackRock CEO said "don't invest in America" Singer also gave his take: "gold has a lot of upside potential" one stage - three of the most powerful investors alive, each naming where he's putting his money Singer's pick - gold: "when people lose confidence in paper money, central banks and governments, gold is the beneficiary" Fink's pick - Mexico, not the US: "I'd much rather buy real estate in Mexico City than the US - subject to a non-Trump future" Rubenstein's pick - US real estate: "people want to touch it, feel it" - "when you're rich, the goal isn't doubling your fortune, it's not losing it" $10 billion - $97 billion and $10 trillion - sitting side by side, explaining the exact logic behind every bet they make bookmark & watch today ↓
bodila@51bodila

Jack Bogle told investors: "never think you know more than the market" - then gave them the exact 5 principles that built $9 trillion Vanguard icon to Americans - hated by Wall Street, because he took billions in fees out of their pockets here are the exact rules that still work: rule 1 → "the biggest risk isn't volatility - it's never putting your money to work at all" rule 2 → "compound interest is a miracle, and time is your friend" rule 3 → "in good times and bad, this too shall pass - your emotions can kill you, impulse is your foe" rule 4 → "there are too many witch doctors in this business - costs kill long-run returns" rule 5 → "no matter what happens - stay the course" Buffett said Bogle did more for American investors than anyone he's ever known - this is him telling you exactly how bookmark & watch this masterclass from one of the greatest ↓

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pomider
pomider@pomiderix·
@clankrmedia Propellers were the reason home robots never made it past the demo stage the moment you swap them for flapping fins the whole category becomes livable this is the shift that unlocks the market
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clankr
clankr@clankrmedia·
Researchers built a soft floating robot for indoor interaction. It uses helium and flapping fins instead of propellers. The result is quiet, lightweight, and safe to touch. It can follow people, give reminders, and act as a study buddy. Published at ACM DIS 2026.
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pomider
pomider@pomiderix·
@gregisenberg if personalized medicine with minimal side effects lands in the next decade its the biggest transfer of quality of life in human history and its going to happen while most people are still arguing about chatbots writing emails
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
I recently ran into Demis, founder of DeepMind I was with a friend who's part of a group living with autoimmune disorders Demis: personalized medicine with minimal side effects is coming in 10 years or less The most exciting use case of AGI is ending suffering for billions.
Demis Hassabis@demishassabis

x.com/i/article/2076…

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pomider
pomider@pomiderix·
@dr_cintas the app store made trillions by forcing you to remember which icon does what agents make that memory obsolete you dont need to know which app books slots you just say book the slot
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Alvaro Cintas
Alvaro Cintas@dr_cintas·
You can now text an AI agent and it does the task inside the actual apps 🤯 It's called Airtap. No app to download. The conversation is the product. You can ask things like: - "Order an item from Amazon" - "See if Orangetheory has a 6am slot tomorrow" - "Post this photo to TikTok" Setup is one message. No download, no signup form. You can try @airtap_ai here: airtap.ai
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pomider
pomider@pomiderix·
Anthropic just dropped Live Artifacts. Barely anyone is talking about it. A guy built 5 dashboards that run his entire business in 10 minutes total. Each one pulls live data from Gmail, Calendar, Stripe, and any app he uses. His 5 dashboards: Morning command center — emails, priorities, week ahead Stripe revenue tracker — live payments and outstanding invoices Meeting prep — who's joining + 3 talking points before every call Competitor tracker — scrapes trending videos in his niche daily Skills dashboard — every Claude skill in one panel 2 minutes each. Zero code. Zero plugins. Just prompts. He didn't automate his workflow. He turned Claude into a CEO cockpit. Save this. The full 17 hidden Claude features are in the article below ↓
Anatoli Kopadze@AnatoliKopadze

x.com/i/article/2057…

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pomider
pomider@pomiderix·
Andrej Karpathy quietly posted how he runs his personal knowledge base. 105,000 people bookmarked it. Almost none of them built it. Every second brain ends the same way. You install Obsidian. You try to be the librarian. Six weeks later it's a graveyard. Karpathy's fix is stupid simple. 3 folders. 1 file. Dump everything in. Never organize. Claude reads it, links it, and summarizes it into a wiki that rewrites itself. Day 1: just a folder. Day 100: a compounding asset no competitor can replicate. A guy built the whole thing in 45 minutes on a Saturday morning. He didn't take better notes. He fired the librarian. Save this. The full Karpathy setup is in the article below ↓
Kirill@kirillk_web3

x.com/i/article/2074…

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pomider
pomider@pomiderix·
A creator just pitched Louis Vuitton a full campaign concept — cinematic 4K, live models, luxury luggage, cows in an English field. Zero cameras. Zero crew. 100% AI. He posted it with 3 words: "AI-powered concept." What Louis Vuitton paid him is a secret. But the market signal is louder than any invoice. If a solo creator can spec a $340K brand campaign from a laptop, every local shop, restaurant, and boutique in your city now has a producer they can afford. Same tools. Same output. Different logo. He made a Louis Vuitton ad to prove it could be done. You'll make ads for the bakery on your corner and get paid every week. Save this. The full AI-ad workflow is in the article below ↓
Fokki@0x_fokki

x.com/i/article/2074…

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pomider
pomider@pomiderix·
@Dexonfxf Dropping out to build the infrastructure ai companies cant scale without vs staying in to compete for a job those ai companies are automating the choice is embarrassingly obvious in hindsight
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Dexonx
Dexonx@Dexonfxf·
THREE 21-YEAR-OLDS DROPPED OUT OF COLLEGE… NOW THEY’RE BUILDING ONE OF THE FASTEST-GROWING AI COMPANIES IN THE WORLD While most students were studying for exams… Brendan Foody, Adarsh Hiremath, and Surya Midha were building Mercor. An AI startup that wants to reinvent hiring forever. Here’s how they did it 👇 In 2023, the three childhood friends launched Mercor with one simple idea: Hiring shouldn’t take weeks. Instead of recruiters spending hours reviewing resumes and scheduling interviews… AI could do it in minutes. Mercor automatically screens candidates, conducts AI-powered interviews, evaluates skills, and matches companies with the best talent. But then something unexpected happened. As AI labs like OpenAI and others scaled rapidly, they needed thousands of highly skilled professionals - engineers, doctors, lawyers, scientists - to help train frontier AI models. Mercor became the platform connecting that talent with the world’s leading AI companies. The growth was explosive. • Founded in 2023 • Bootstrapped to 7-figure ARR from their dorm rooms before raising major funding • Raised $3.6M seed funding • Then $32M Series A • Then $100M Series B at a $2B valuation - all while the founders were just 21 years old. Today, Mercor works with many of the world’s leading AI companies and has become one of the fastest-growing startups in the AI ecosystem. The biggest lesson? They didn’t build a better résumé builder. They built the infrastructure that helps power the AI economy. Sometimes the biggest opportunity isn’t competing with AI… It’s building the systems AI companies can’t scale without. Follow @Dexonfxf for more real AI founder stories 🚀
Dexonx@Dexonfxf

x.com/i/article/2074…

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pomider
pomider@pomiderix·
@kulon077 the truth nobody wants to hear you dont need a better model you need to stop being the messenger between it and the goal the ai was ready 18 months ago the workflow wasnt
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nickelangelo
nickelangelo@kulon077·
YOU ARE NOT BAD AT USING AI. You're just doing a job the AI should be doing for you. Every time you type: "Here's the next step..." "Can you improve this?" "Try again..." You're acting as the operating system. The biggest productivity unlock isn't finding a better model. It's building a loop where the AI creates, checks, improves, and repeats without waiting for your next message. The future belongs to people who stop writing prompts... ...and start designing processes that no longer need them.
Chase@0xChaseTM

x.com/i/article/2073…

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pomider
pomider@pomiderix·
@EXM7777 If youre still at your desk 10 hours a day in the age of loops and scheduled agents thats not dedication thats a system failure your models should be pulling the all nighters is the line of the year
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Machina
Machina@EXM7777·
this is basically a skill issue... and Andrej Karpathy said it himself: "to get the most out of the tools that have become available now you have to remove yourself as the bottleneck... you can't be there to prompt the next thing, you need to take yourself outside" you have to ask yourself: how do i get MAXIMUM output from AI with minimum input from me, and have it run for a long time without me this is how you remove yourself from the equation: > give big goals, not small prompts: one precise outcome with clear boundaries, and let the agent decide the steps (use /goal) > run loops: the agent works, checks its own output against the goal, fixes what's weak and goes again, it iterates while you're away instead of waiting for your next message > schedule the recurring work: research, reports, monitoring all fire on their own clock, you wake up to finished work do this and 4 hours of deep work per day is enough... you input your thinking, hand out large goals, review what comes back the rest is the normal light work of a business owner... calls, some admin, taking care of customers anything past 6-7 hours at the desk means your system is missing, not your effort... your models should be pulling the all-nighters, not you anyway, get better soon @robj3d3
Rob Hallam@robj3d3

I'm done with them fucking with us. Ended up in hospital today from stress. Stayed up all night pushing my limits too hard, thinking it would be removed. Health comes first. Do better @AnthropicAI

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pomider
pomider@pomiderix·
@PrajwalTomar_ picking a favorite model is fandom staffing them is business this line should be on every ai founders wall the era of loyalty to a logo is over the era of orchestration is here
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Prajwal Tomar
Prajwal Tomar@PrajwalTomar_·
I still don't think people understand what just happened with GPT 5.6. Everyone is arguing about whether it beats Fable 5 and missing what actually died last week: the single-model era. The whole idea of one model doing all your work is over. Because for the first time, the math works. GPT 5.6 Sol ships code at half of Fable's price. Luna grinds through the small stuff for pennies. And Fable stays exactly where it belongs, planning the build and reviewing the diff like a staff engineer. One model was always a compromise. You were paying your smartest model's rate for work it was overqualified to do. Now you don't pick a model. You staff them: a manager, a worker, an intern. Same output, a fraction of the bill. My honest take: picking a favorite model is fandom. Staffing them is business. (full breakdown in the article below)
Prajwal Tomar@PrajwalTomar_

x.com/i/article/2075…

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pomider
pomider@pomiderix·
@gemchange_ltd the shift nobody priced in yet one human used to equal one device now one human equals hundreds of agents each burning memory 24/7 the demand curve just went from linear to exponential overnight
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gemchanger
gemchanger@gemchange_ltd·
The chairman of SK Group just explained why memory is no longer a boom-bust cycle. > Old world: memory demand = number of humans buying phones and PCs. Capped. > New world: one person runs hundreds of AI agents. Every agent generates KV cache. All of it has to be stored somewhere. > SK is doubling capacity in 5 years, more than it built in 25. Customers say it's still not enough. > Customers are now the ones asking for long-term contracts. His words: "It's not suggested by us."
ADHD Capital@CapitalADHD

Korea didn't list on Nasdaq for the valuation. It listed because it ran out of money at home. SK Hynix just raised $26.5B in New York, the biggest foreign listing in US history. The consensus read is a re-rating story, the American premium eventually pulling the Korean shares up with it. We think that misses what was actually built here. Direct: $SKHY on Nasdaq and 000660 in Seoul. Same company, two prices, and a 16% gap. Already the popular trade. What we found underneath: The arbitrage between them only runs one way. An ADR holder can cancel and take Korean shares. Going the other direction, buying the Korean share and converting it into an ADR, can require regulatory approval. So premiums survive and discounts get erased. That isn't a market, it's a ratchet. And the only channel that actually works is the one that dumps supply back into Seoul. Meanwhile the Korean bid holding up the local shares is levered to a record and capped by law. Margin debt is at an all-time high, and roughly a fifth of it sits in just Samsung and Hynix. The banks funding it burned most of their annual household lending quota in the first half. Korea's volatility index hit its highest reading on record last month, and the local single-stock leveraged ETFs that helped break the market in June are now launching on the ADR in the US. So price discovery moved to New York. The margin calls stayed in Seoul. A US drawdown reprices the ADR overnight, the collateral behind Korean retail is the local share, and the forced selling happens in Seoul the next morning. Then there's what the money is actually for. Korea is committing around $880B to chips and data centers. The Yongin cluster at the center of it needs somewhere near 15GW. The area currently supplies under 2GW. Substations and transmission lines are blocked by local opposition, and water is short. Dashed: We can't tell you the premium holds, or that it collapses. That's a policy decision, not a market one. Whether Seoul opens the conversion valve is the variable, and no one has announced anything. What's true is narrower and more useful: The scarce node in this trade is a regulatory switch that decides who owns the expensive claim and who owns the collateral. Our read: The dollars are real. The credit is capped. The electrons don't exist yet. Every layer of this trade meets a different ceiling, and only one of them is priced. The Hive.

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pomider
pomider@pomiderix·
A guy just spun up 4 Claude Code agents that talk to each other and drop ready-to-shoot video scripts by 6 a.m. He hasn't written a script himself in 3 weeks. Old agents work solo. Swarm mode has 4 of them running in parallel — researcher, analyst, ideator, scripter — coordinating in one loop. While he sleeps, the swarm scrapes X and Reddit for trends, cross-checks his best-performing content, ranks 8-10 fresh concepts, and writes full filmable scripts in his voice. One prompt. Zero context switching. Zero decision fatigue. The same architecture is what hedge funds pay quants $500K/year to build for alpha hunting. He didn't hire a content team. He spun up a swarm and it hunts opportunities 24/7. Save this. The full swarm build is in the article below ↓
Roan@RohOnChain

x.com/i/article/2073…

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pomider
pomider@pomiderix·
@GuntherWrite it doesnt resolve them for you and thats the feature every note app that auto merges is lying to you about your own thinking the second brain is supposed to hold the tension not hide it
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Gunther
Gunther@GuntherWrite·
@pomiderix How does it handle conflicting notes on the same topic?
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pomider
pomider@pomiderix·
A guy had 400 notes rotting in Obsidian. He plugged in Claude Code once. Now the vault answers any question in 2 seconds. Same 400 notes. Same laptop. Same $0 subscription. Claude reads every file, links what belongs together, and files it back where it fits. Every question he types now pulls the exact 3 notes that answer it — with the reasoning shown. Most note apps are graveyards. This one turned into a second brain overnight. He didn't take better notes. He hired an intern to organize the ones he already had. Save this. The full Claude + Obsidian setup is in the article below ↓
Spike 1%@SpikeCalls

x.com/i/article/2069…

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pomider@pomiderix·
A Chinese engineer just stacked 8 used Mac minis on his desk. Together they run Moltbot 24/7 and replace every $200/month AI subscription he had. Total hardware cost: $2,400. Electricity: $9/month. Subscription bills: $0. Moltbot handles chat, coding, image gen, and voice — all local, all forever. The cheapest device in his rack costs $249 and runs 7B models all day. His old monthly bill: $199 to OpenAI, $200 to Anthropic, $200 to Google. Now: nothing. He didn't cancel his subscriptions to save money. He canceled them because the local stack is faster. Save this. The full 5-device local AI setup is in the article below ↓
Antid@antisadh

x.com/i/article/2072…

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