0://wilder.dreamcatcher (∎, ∆)

This year, many people believe they are finally understanding and waking up, but in their attempt to verify what they’re discovering, they often fall into carefully crafted false revelations and controlled psychological operations. As long as you remain stuck in that in-between state, half-awake, confused and mentally mixed, true clarity remains impossible. Real discernment only comes through consistent daily work and a firm refusal of every ready made narrative. Stay vigilant, watch my series realityrevolt.com

@RasmusOfDenmark @AlexVanopslagh Nej klovn, dem som holder DK kørende! Luksus tider for DK er snsrt ovre.

@AlexVanopslagh "boligejere, erhvervsliv, iværksættere" altså de rige svin som udnytter almindelige Danskere? Tak Lars. #DkPol #DkMedier

Vi har lige været vidne til et dybt forstemmende politisk maskefald. Lars Løkke har klart og utvetydigt vist, at politik for ham ikke handler om noget – det handler om nogen. Lars Løkke har afvist en regering, der ville gennemføre en stor del af den økonomiske reformpolitik, som Moderaterne gik til valg på, til fordel for at gøre Mette Frederiksen til statsminister. Og alle tegn i sol og måne tyder på, at Lars Løkke kommer til at bryde sit løfte om at holde Enhedslisten uden for indflydelse. I stedet kommer han til at føre venstreorienteret politik på Pelle Dragsteds nåde. Taberne? Det bliver selvfølgelig boligejere, erhvervsliv, iværksættere og alle andre danskere. Og dermed vil Lars Løkke klart have demonstreret, at Moderaterne ikke er det midterparti, han solgte til vælgerne. Moderaterne er et rødt parti.

A Brazilian college dropout moved into his parents garage and built a Polymarket trading bot using only open-source AI agents - it earned him $794,000 in 14 months. He didn't write a single line of code. Claude Opus wrote it all. The agent framework we're using is Hermes - open source, built by NousResearch (backed by Paradigm with $70M). His wallet: @bonereaper?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@bonereaper?vi… Wallet handle: Bonereaper. 40,266 trades. Total stack cost: $10/month. Here's how it actually works: The bot trades BTC 5-minute Up/Down markets on Polymarket. 288 windows per day. One trade every 81 seconds. The edge is Markov chain analysis. When BTC price enters a persistent directional state - math says the next bar continues up with probability p ≥ 0.87. The market doesn't know this. The market prices it based on emotion. That gap is the entire trade: Δ = p̂ − q ≥ ε → ENTER The stack: BRAIN - Claude Opus 4.7 via API. Reads signals, makes decisions, rewrites its own strategy nightly. BODY - Hermes Agent by NousResearch. Open-source. 100K+ GitHub stars. RUNNER - Hetzner VPS. $5.99/month. Runs 24/7. ALERTS - Telegram bot. Every trade pings your phone. Setup time: 30 minutes. No coding required. But the real trick is the nightly self-learning loop. Every midnight Opus reads the day's trade journal. Tags wins, losses, EV per Markov state. Then rewrites MIN_PROB and MIN_EDGE in the .env file. Yesterday it might have been MIN_PROB=0.87. Tomorrow 0.89. The week after maybe 0.91 if the regime tightens. The agent is measurably smarter after 50 trades. After 500 it's a different bot than the one you launched. You don't need to know how to trade. You don't need to know how to code. You need $10/month and 30 minutes. The bot does the rest. Claude does the thinking. You read Telegram reports in the morning, approve the next session, and go back to sleep. Save this if you want to dig in and understand it. Or just copy BoneReaper trades using this TG bot - his algorithm has been perfected over 14 months and literally has no equal: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666

Claude can FULLY control tradingview now. There’s no excuse not to automate your trading.

Boris Cherny, the creator of Claude Code at Anthropic, just explained how to write prompts that actually work CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns all in one video and completely free

40% of the code Claude writes for you is wasted. you're paying for the rewrite. a 65-line markdown file fixes it. 120,000 developers have starred it. the author tested it on "30 codebases over 6 weeks" and reported a mistake rate drop from 41% to either 11% or 3% depending on whether you read the headline or the body. the irony is that the article is right. CLAUDE.md is the most under-leveraged file in your stack. 65 lines of behavioral rules outperform a 4,000-token preferences dump. "be careful" is useless. testable imperatives are gold. "be senior" doesn't work Claude already thinks it is. the 4 rules that ship the most leverage: / state assumptions, never guess silently / minimum code, nothing speculative / surgical changes, don't refactor adjacent code / define success, loop until verified compliance: ~80%. mistake rate: from ~40% to single digits. no human caught the contradicting numbers in the title. nobody had to.

Hantavirus

CLAUDE CODE CAN NOW PULL LIVE DATA FROM 17,000+ STOCKS, CRYPTO PRICES, AND FINANCIAL STATEMENTS IN SECONDS. One command. 60 seconds. Done. Here is the exact setup: Step 1: Open Claude Code and paste this: claude mcp add --transport http financial-datasets mcp.financialdatasets.ai Step 2: Authenticate Type `/mcp` inside Claude Code and complete the OAuth flow in your browser. Verify the connection anytime: claude mcp list Step 3: Start prompting - "What is Apple's current P/E ratio and market cap?" - "Show me Tesla's income statement for the last 4 quarters." - "How has Bitcoin's price changed over the past year?" That is it. Claude Code now has direct access to real financial data across 17,000+ stocks, earnings reports, balance sheets, income statements, cash flow data, and crypto prices. The analysts paying $24,000 a year for a Bloomberg Terminal are not going to be happy this exists. Before this you needed a Bloomberg Terminal or a complex financial data API or hours of manual research across multiple sources. Now you need one command and 60 seconds. The quants, analysts, and portfolio managers who figure out how to combine Claude Code's reasoning with live financial data access will have a research edge that compounds every single day. Bookmark this before you open your next brokerage account. Docs if you run into errors: #claude-code" target="_blank" rel="nofollow noopener">docs.financialdatasets.ai/mcp-server#cla… Follow @cyrilXBT for every Claude Code integration that changes how you work with data.

🚨 BREAKING: Claude can now build your entire resume and LinkedIn profile like a $500/hour executive recruiter from Robert Half. For free. Here are 11 prompts that get you interview calls within 7 days: (Save this before it disappears)

R.I.P. GOOGLE FLIGHTS IN 2026. R.I.P. BOOKING COM IN 2026. R.I.P. SKYSCANNER IN 2026. $1,190 flight. I paid $159. Use these 7 prompts before booking your next trip :

This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each. He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message. No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key. And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly. 7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month. All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks. And here is the system prompt he put into the orchestrator before launch: "You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes. sub-agents: // Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings) // Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words) // Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap) // Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom) // Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors) // Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending) // Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go). You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%." Meaning the system knows what it is and within what boundaries it is allowed to act. It knows it is supposed to find leads on its own. It knows it is supposed to take each one to a mockup, video, and cold message without intervention. It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging. → The system runs 24 hours a day → Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue → Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day → Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads → Filmer renders a 10-second vertical video in Higgsfield for each one → Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14% → Checker runs every message through evals before sending And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner. And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call. Here is what the system writes in his log during 1 of the Saturdays: "scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser." "pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer." "builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield." "eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review." He has no server of his own and no separate backend. Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone. Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.

@Docuzor @DjokovicFan_ Do you even use your before posting?? Doesnt look like it 😀 so when Nole is 50, you still see him being in competition with the top young guys?

@DjokovicFan_ Whenever Sinner wins a title, insecure Djoko fans will post this video🤣🤣 Very predictable

Djokovic on Sinner: "His case had many red flags. There was zero transparency or consistency and it was odd how he didn't miss any slam. I hate how it was handled. When you see someone else banned 4 years and this guy only gets 3 months it's not fair."

Stop telling Claude, "do this." Stop telling Claude, "write code." Stop telling Claude, "fix this error." You're actually treating a senior AI like a junior intern. Here are 8 prompts you can copy and paste directly:

Two Anthropic engineers spent 24 minutes exposing every Claude Code feature you didn't know existed. Most people will scroll past this. Don't be most people.

@JessieTG1997 @IRanMediaco @POTUS @BarackObama @realDonaldTrump Etf has Obama done? Other than going to war as well. You dont see it do ya? 😅

@IRanMediaco Incorrect. He’s already the stupidest @POTUS ever. We need @BarackObama back to fix @realDonaldTrump’s mess!

BREAKING: Donald Trump is on the verge of becoming the most foolish president who drove the highest oil prices ever

AI TENNIS ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, PYTORCH, AND KEYPOINT EXTRACTION. Take any tennis match broadcast, any camera angle, any resolution. Feed it into the pipeline. YOLO detects both players and the tennis ball frame by frame. No manual labeling, no pre-annotated dataset. A fine-tuned YOLOv5 model trained on a Roboflow tennis ball dataset handles the ball - the hardest object to track in any sport. Tiny, fast, constantly occluded. The model finds it anyway. Trackers maintain identity across frames so Player 1 stays Player 1 from the first serve to match point. But detection is just the start. A ResNet50 CNN trained in PyTorch predicts court keypoints from every frame - the corners, service lines, baselines, net posts. Fourteen points that define the entire playing surface geometry. From those keypoints the system builds a homography matrix and warps the broadcast perspective into a top-down mini court with real coordinates. Now every player has a position in real space, not pixel space. Every frame becomes a measurement. Every rally becomes a dataset. Player movement speed - calculated from position deltas between frames, converted to meters per second through the homography. Ball shot speed - measured from the ball trajectory across consecutive detections. Number of shots per rally - counted automatically through ball direction changes. All of this rendered live on the video as an overlay. A mini court in the corner showing both players as dots moving in real time. Stats updating after every point. OpenCV handles the rendering. Pandas handles the math. PyTorch handles the intelligence. YOLO handles the eyes. No Hawkeye subscription, no court-embedded sensors, no tracking chips in the ball. A Python script, a trained model, and a GPU. The full code is on GitHub. The tutorial walks through every module - from ball detector training to court keypoint extraction to the final statistical overlay. Professional teams used to need broadcast deals and proprietary hardware for this kind of analysis. Now you build it in an afternoon with open-source tools. Trading here: @zostaff" target="_blank" rel="nofollow noopener">kreo.app/@zostaff Computer vision didn't just enter tennis. It made the expensive stuff free.

Anthropic pays engineers $750,000 a year to understand how AI models actually work. Stanford just put the same knowledge on YouTube. 2 hours. Completely free. This is the lecture that teaches you what most AI courses skip entirely. Not how to use the tools. Why they work the way they do. The engineers who understand the why build things the people who only know the how cannot even conceive of. The gap between those two groups is $750,000 a year. You can close most of it in an afternoon. Bookmark this before you scroll past it. Watch it this weekend. Not eventually. This weekend.

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me @codewithimanshu, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me @codewithimanshu, so i can DM you. Save the video. Grab the guide. Set it up tonight.

The creator of Claude Code teaches more about vibe-coding in 30 minutes than most tutorials do in hours. Save this — it'll change how you build forever.

@Ruf_ayii You humbled them Haaland no worries lol

Halaand keeps on owning them. Gabriel is no where near to haaland 😂