Dan Sellars

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Dan Sellars

Dan Sellars

@dansellars

_xlabs Entrepreneur, CEO. Digital AI-powered products enabling nimble, adaptive organisations. Founder grade.

NYC Katılım Ocak 2008
300 Takip Edilen5.6K Takipçiler
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Marry Evan
Marry Evan@marryevan999·
I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment What Ever you think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me @marryevan999 (so i can DM you)
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Movez
Movez@0xMovez·
Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.
Roan@RohOnChain

x.com/i/article/2053…

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Dan Sellars
Dan Sellars@dansellars·
It's a huge fixer-job-opportunity, *if Cuban's right the new "implementation." The value isn't configuring AI — it's knowing which business problems are actually worth solving with it. That diagnostic skill is rarer than the technical one.
Rohan Paul@rohanpaul_ai

Mark Cuban on the next job wave. Customized AI integration for small to mid-sized companies. "Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them... And there are 33 mn companies in the US."

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cinesthetic.
cinesthetic.@TheCinesthetic·
“Pressure is a Privilege. And if you’re feeling any pressure or weight of expectation, you are breathing rare air, that very few of us get to live inside”. - Tom Hiddleston
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Hanako
Hanako@hanakoxbt·
an OpenAI researcher sat next to me at a cafe in brooklyn and saw my screen i was deep in the terminal. trades flowing. didn't notice him sit down. he glanced over. then looked again. "is that prediction markets?" i nodded. "what's running the backend?" "Claude Opus 4.7" he closed his laptop. "show me" i turned the screen. he watched for about two minutes without saying anything. trades executing. markets scanning. wallets being copied. 948 markets per hour. "how many people built this?" just me and Claude. one weekend. one GitHub repo. github.com/warproxxx/poly… 610 stars. market making infrastructure. execution engine. order book logic. i gave Opus 4.7 the repo and one prompt: build a grid that runs 8 parallel strategies on prediction markets. scan everything. enter when edge exceeds threshold. exit on volume spike or target hit. first deploy worked. no debugging. no iteration. he shook his head slowly. "we have a team of nine scoping something like this. six month timeline" i showed him the git log. friday 11PM. sunday 2AM. done. copy mirror tracking 4 wallets: > Trump VP pick +$782. bayes signal. > BTC 120K Dec +$681. divergence signal. > SpaceX Starship +$893. oracle lag signal. > Fed rate cut +$537. delta hedge signal. every entry scored by an ensemble before execution. primary model estimates probability. secondary validates against historical resolution. Claude breaks ties using context neither model can read. when all three disagree with the market that's signal. when they agree with each other but not the market that's the fat signal. when everything aligns i skip. 644 trades. 77% win rate. sharpe 3.50. avg hold 4h. +$23,768 from $1,800 in 9 weeks. copytrade here: @1743116" target="_blank" rel="nofollow noopener">kreo.app/@1743116 he stared at the number. "you know we can't ship anything like this right? regulatory. legal. six layers of review" i said Claude doesn't have a legal department. he laughed. then stopped. "i'm serious though. what you built in a weekend would take us two quarters and a compliance audit" i closed my laptop. finished my coffee. he was still sitting there when i left.
Hanako@hanakoxbt

x.com/i/article/2042…

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Avid
Avid@Av1dlive·
In 14 minutes, this Anthropic engineer who wrote "Building Effective Agents" will teach you more about building them right than most developers figure out on their own in months. Bookmark this for the weekend. Then read the builder's guide below.
Avid@Av1dlive

x.com/i/article/2044…

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Allen Braden
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.
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Jvnior
Jvnior@Jvnior·
Marco Rubio 2 days ago: “Imagine if Iran funded the well-being of its people, rather than its military” Trump today: “We can’t fund daycare or Medicaid, we need more money for our military” Sometimes the jokes write themselves.
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Dan Bilzerian
Dan Bilzerian@DanBilzerian·
The government of Israel listed me as the #1 Antisemitic influencer in the world. We are so fucking back!
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P.S. I Love ME
P.S. I Love ME@ps_ilove_me·
🚨In 1990s, Stanford researcher Dr. Robert Sapolsky discovered something that should have broken the internet by now. He was studying dopamine pathways in primates and found that the brain doesn't just adapt to repeated stimulation. It actively fights back. When you flood dopamine receptors consistently, the brain deploys what neuroscientists call "opponent processes." For every artificial high you create, your nervous system generates an equal and opposite neurochemical low. Not eventually. Immediately. The system is designed to maintain balance, so it starts producing compounds that directly counteract dopamine while you're still experiencing the dopamine hit. This means every notification, every scroll, every digital reward doesn't just give you a high followed by a return to baseline. It gives you a high followed by a crash below baseline. You end up in neurochemical debt. Tech companies never publicized this research. They probably never read it. They were too busy discovering that variable ratio reinforcement schedules could keep users engaged for hours. They built addictive systems by accident, then refined them into addiction machines once they realized what they'd stumbled onto. Your phone delivers an average of 80 dopamine hits per day. Your ancestors got maybe 5. Each hit triggers opponent processes that create a corresponding low. By the end of a typical day of normal phone usage, your baseline dopamine is running in negative territory. You feel flat, restless, vaguely unsatisfied, and hungry for stimulation because your brain chemistry is literally below zero. You think you're bored. You're chemically depressed by artificial highs. The opponent process theory explains why nothing feels interesting anymore. Your brain isn't broken. It's precisely calibrated to maintain neurochemical balance, and you keep throwing that balance off with artificial intensity. Every Instagram hit requires an equal Instagram crash. Every TikTok high gets paid for with a TikTok low. Every notification rush gets balanced with notification emptiness. Your reward system is running a neurochemical deficit that grows larger every day. Sapolsky's research revealed something even more disturbing: opponent processes don't just create temporary lows. They become permanent changes to your baseline dopamine production. Chronic overstimulation doesn't just make you tolerant to digital rewards. It makes you insensitive to natural rewards. The sunset that would have captivated your great-grandfather becomes invisible to you not because sunsets got worse, but because your dopamine system needs intensity levels that sunsets can't provide. A good conversation becomes boring not because conversations got less interesting, but because your brain requires the rapid-fire stimulation of social media to register engagement. You've accidentally trained your reward system to ignore everything that isn't artificially amplified. This connects to research from Dr. Anna Lembke at Stanford, who found that people who undergo complete digital fasting for just 30 days show measurable increases in dopamine receptor density. Their brains literally regrow sensitivity to natural rewards. Food tastes better. Music sounds more complex. Social interactions become genuinely engaging again. But there's a catch that nobody talks about: the first two weeks of dopamine detox feel like clinical depression. Your brain has been chemically dependent on artificial stimulation for years. Removing that stimulation creates actual withdrawal symptoms. Restlessness, anxiety, inability to focus, emotional flatness, and desperate cravings for digital input. Most people interpret these symptoms as evidence that they need their phones. Actually, they're evidence that they've been neurochemically dependent on their phones without realizing it. The withdrawal period isn't a bug. It's proof the reset is working. What happens after week three is remarkable. Colors become more vivid. Conversations become genuinely absorbing. Simple pleasures like hot coffee or cool air become satisfying in ways you forgot were possible. Your brain rediscovers that reality contains enough complexity and beauty to hold your attention without artificial amplification. You don't need more interesting content. You need more sensitive reward systems. The solution isn't better apps or more engaging entertainment. The solution is restoring your brain's factory settings for what constitutes a worthwhile experience. Sapolsky's opponent process research suggests this can happen faster than anyone expected. Every day you don't artificially spike your dopamine, your baseline moves a little higher. Every natural reward you pay attention to rebuilds receptor density. Every moment of boredom you endure without reaching for stimulation strengthens your capacity for sustained focus. Ancient humans lived in a world that provided exactly the right amount of stimulation to keep their reward systems healthy. Enough challenge to stay engaged, enough calm to stay balanced, enough novelty to stay curious, enough routine to stay stable. We built a world that provides 10 times too much stimulation and wonder why nothing feels rewarding anymore. Your brain is not the problem. Your environment is the problem. Change the environment, and the brain heals itself automatically.
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Darshak Rana ⚡️@thedarshakrana

x.com/i/article/2042…

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Dan Sellars
Dan Sellars@dansellars·
Medusa wasn’t a god at all. She was a Gorgon—a monstrous figure in Greek mythology—best known for her ability to turn people to stone with her gaze. Originally a mortal woman, in many versions. Transformed into a Gorgon by Athena. Ultimately killed by Perseus.
best of anya taylor-joy@anyafolders

An insane shot oh my god

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Tansu Yegen
Tansu Yegen@TansuYegen·
🇩🇪Absolute masterclass in road discipline on the German Autobahn! When traffic comes to a standstill, drivers instantly shift left and right to create a Rettungsgasse, a crystal-clear emergency corridor right down the middle, so ambulances, fire trucks, and rescue vehicles can fly through at full speed. It’s the law in Germany and Austria, and it literally saves lives. This is how you do it!
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Dan Sellars
Dan Sellars@dansellars·
Love this take on BBC Planet Earth--"Senior dev watching junior use ChatGPT to fix the bug ChatGPT wrote"
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Luke Pierce
Luke Pierce@lukepierceops·
Automation consultants charge $15K for what Claude Code now does in 2 hours. I know because we're the ones who used to charge it. Here's the exact process: Step 1: Discovery (20 min) → Paste your org chart, tool stack, and top 3 bottlenecks → Claude interviews you with clarifying questions → Outputs a full process inventory ranked by time cost Step 2: Workflow Mapping (15 min) → Describe any department's daily operations in plain English → Claude builds a complete process map → Every manual handoff, redundant step, and automation trigger flagged Step 3: Opportunity Audit (10 min) → Feed it the workflow map output → Returns your top 10 automation opportunities → Ranked by ROI, complexity, and build time Step 4: Architecture Design (20 min) → Claude designs the full system architecture → Which tools connect where, what the data flow looks like → Agents for complex logic, linear flows for the repetitive stuff Step 5: Build (ongoing) → Claude writes the actual workflow JSON → Self-documents everything as it builds Step 6: The output. A live dashboard your whole team can work from. → Clickable process maps for every department → Automation opportunities ranked by ROI → Implementation progress by phase → KPIs updated in real time → One link you share with clients, freelancers, or your team to execute This is what we hand every client at the end of discovery. The .md file is what makes all of it possible. Without it, Claude guesses. With it, Claude builds like a $15K consultant. Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you) 🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.
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Discogs
Discogs@discogs·
"Music makes human existence, which for me, is often a tough haul, much better," says @HenryRollins, who turns 65 today.
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