ꭺᏽꭼꮑꭲ ꮎꭱꭺꮑᏽꭼ

If past is any indication: Grinding up as we always do, macro be damned. Everything else is just noise. #BTC

🛢 The US produces more oil than any country in history. So why can't it save Asia from the Hormuz crisis? Detailed digging through EIA data, Polymarket live markets, Dallas Fed models, Congressional Research reports, and infrastructure filings to answer that one question. The answer is genuinely surprising. What you'll find inside the report: 📊 12 fully interactive charts — drag sliders, click annotations, switch between scenarios in real time 🔥 The number that breaks the "energy dominance" narrative: The US can fill roughly 13% of Asia's supply gap from the Hormuz closure. At max. Despite 13.6 million barrels per day of production. 🤯 The paradox nobody talks about: America simultaneously exports 11 million barrels per day of petroleum AND imports 8.4 million. Both numbers are real. The reason why explains everything about how global oil markets actually work. 📉 What Polymarket is pricing right now: → WTI hits $110 in April: 86% probability → WTI hits $120 in April: 51.5% probability → US recession by end of 2026: 32.5% probability → Bitcoin today: trapped between $66k and $68k with almost nothing priced above $68k 🏗 The infrastructure story is the real story: The pipeline carrying Permian crude to Texas export terminals is running at 99% utilization. The two deepwater VLCC terminals that could unlock Asia routes have federal licenses. Neither has a construction start date. Anchor customer Chevron pulled out. 📈 What the oil shock does to your portfolio: → Energy stocks: estimated +45% earnings uplift at $100+ oil → Airlines: getting destroyed (jet fuel doubled) → TIPS bonds: the cleanest trade in stagflation → Bitcoin: two competing narratives, genuinely uncertain outcome — the blog shows you both honestly 🌍 The geopolitics nobody is connecting: China cut US crude purchases by 89% in 2025. Russia imports are at zero. OPEC's share of US imports collapsed from 70% in 1977 to 15% today. The map of who buys whose oil has been completely redrawn and most people haven't noticed. 🎛 The interactive scenario builder lets you drag two sliders — disruption duration and oil price — and watch S&P impact, 10 year Treasury yield, Bitcoin range, and recession probability update live. 3,305 words. 12 charts. All primary data sources cited. If you follow energy, macro, or markets — this one is worth 20 minutes of your time. 👇 Read the full interactive report below oculus.jlabsdigital.com/blog/april-02-…

My Clipping Account exploded from 200 to 15K views in 48 hours with one dead-simple system here's the exact playbook: - use @WayinVideo + their clawhub ai clipping tool - pulled clips from viral youtube podcasts (hormozi, cuban, anyone crushing millions of views) - let WayinVideo generate viral clips automatically - tell agent to pick top 3 and schedule them with postiz + generate killer titles via manifest.json - no postiz? just ask agent for fire titles - stay relentless and post every single day no magic formula. just brutal consistency.

@Sam23709 @exec_sum 💯

@exec_sum Now we just have to wait for Bill Ackman's panic monologue on CNBC for final indicator on market correction.

NEWS: Jamie Dimon says US must prioritize success in Iran over markets

@John_Hudson This mf wants a “grand war victory” to save his ass. Wonder how many will be sacrificed for his bizzare ambitions.

NEW: The high-risk plan to seize Iran’s uranium in a commando raid that would require building a runway in Iran and dropping in excavation equipment amid incoming fire, came at Trump’s request, signaling his interest in the complex operation

My card got declined at a gas station. $200 left in my account. 9 days until payday. I went home and asked Claude the dumbest question I've ever typed: I have $200. What would you do with it if you had 9 days? Claude didn't give me advice. It gave me a script. Said: load this anywhere. It scans for markets where almost nobody is trading and the edge is too wide for what it is. I had a $8 robot on my desk collecting dust. Orange box. Tiny screen with eyes. I built it weeks ago as a joke. Loaded the script into it. The eyes went wide 41 times in the first week. 14 golf markets. 23 esports matches. 9 goalscorer props. Markets with 11 people in them. Some with 6. Then the robot flagged a wallet that lives inside these dead rooms. gatorr. $2,219,147 profit. 684 predictions. Joined November 2025. @gatorr?via=carverfomo" target="_blank" rel="nofollow noopener">polymarket.com/@gatorr?via=ca… Showed it to my roommate who day trades futures. Lost $4K last month. He stared at the screen and said this is fake. Pulled up the live wallet. He went quiet. Here is the thing. 50,000 wallets fight over elections for 2% edges. gatorr finds a golf market with 17 people and takes 8% before anyone notices. Not smarter. Just alone in the room. I asked Claude why nobody else does this. It said: because people search for the loudest markets. Not the emptiest. My card still got declined that week. But the $200 I didn't spend on gas found 3 rooms the robot pointed at. t.me/KreoPolyBot?st… The orange box is still on my desk. Mostly he just blinks. But when those eyes go wide I stop whatever I'm doing. Three times this week. Three times it paid.

finally someone said it. one guy from our network ran the same supplement offer to both demographics side by side. same creative structure, same dm automation, same affiliate backend. younger male audience came in at $31 cpa and most of them bought once and disappeared. older female audience came in at $4 and they kept buying every month because hot flashes don't just stop after a week. the 45+ female demographic on facebook and instagram engages differently too. they don't just scroll past. they write full paragraphs in the comments telling you their symptoms. they tag their friends. they save videos and send them in group chats. your organic reach compounds because the algorithm sees genuine conversation instead of passive thumbing. almost nobody is building ai characters for them because every operator in this space is a 24 year old guy who has never thought about menopause for a single second in his life. that gap between audience size and people actually serving them is where all the margin lives right now.

The Claude Code leak confirmed what I believed from the very start: the prompt is 10%, and the other 90% is the infrastructure around it. My feed is flooded with prompt courses. The perfect prompt for making money, 100 prompts that will change your life, the secret prompt millionaires use. I used to believe in that too. I spent weeks on wording, rearranged words, and thought that somewhere out there was a magic phrase that would change everything. Then I looked at how Claude Code is actually built and saw a completely different picture. The prompt is short and simple. Nothing magical. All the power is in what is built around it: ◦ Live repo context: the agent loads the full project context before you even start typing ◦ Prompt cache reuse: static parts are not rebuilt from scratch every time ◦ File-read deduplication: if a file has not changed, the agent does not waste context window on it ◦ Structured session memory: a session journal with errors, takeaways, and current state ◦ Subagent parallelism: background work runs in parallel without polluting the main loop This is exactly why Claude Code works better than the same Claude in the web interface. Not a different model. A different wrapper. @cryptoind?via=carverfomo" target="_blank" rel="nofollow noopener">polymarket.com/@cryptoind?via… When I understood this, I stopped optimizing prompts and started building infrastructure. My Polymarket agent is built on the same principle: the prompt is three lines long, and everything else is done by the system around it: ◦ Error memory: the agent records every mistake and checks against it before a new entry ◦ Double verification: a second agent tries to tear apart the first one's reasoning before the system opens a position ◦ Expected value filtering: 80% of potential trades get rejected before execution ◦ Cooldown between entries: the system does not stack a cluster of correlated positions The prompt has not changed since day one. The infrastructure changes every week. And it is the infrastructure that makes the money, not the three lines of text that started it all. People buy prompt courses because the prompt is the visible part of the iceberg. But everything that produces results is underwater. The Claude Code leak confirmed it once and for all: even Anthropic does not rely on the prompt. They build an engineering system around it. If you want to start building your own system but are not ready to assemble infrastructure from scratch, start where I started: a bot that copies trades from wallets where the infrastructure is already working for you: t.me/KreoPolyBot?st… It is not a prompt. It is a system. And the difference between the two is what decides everything.

Agentic video production system github.com/calesthio/Open…

> opened Polymarket with $400 > lost it in 3 days > didn't even know what EV meant > forgot about it for 3 months > then found a GitHub repo > 86 million trades. every wallet. every entry price > wrote 20 lines of Claude to score markets > EV filter killed 90% of trades I would've taken > the ones left hit above 70% > month two: +$3,400 > month three: quit my job > coworker said "that's just gambling" > same guy plays parlays every weekend > 92% of wallets lose money > I analyzed 14,000 to find out why > difference wasn't luck. it was math bookmark this before you start analyzing

The Claude Autonomous Agents have officially arrived So we're setting them up with a brand new $50,000 portfolio to see how well they do at investing in stocks Can they outperform Buffett? Here’s how the portfolio works

Niche bending is key.

🚨 BREAKING: TikTok creators are shaking right now Buzzy just dropped the most powerful viral scaler of 2026. You scroll → send any 10M-view video → it instantly analyzes the DNA and generates dozens of ready-to-post versions (no prompts needed). Here is the breakdown🧵:

We analysed 212 million YouTube titles using TubeAI. Here is what we found out: - Negative titles average 30,626 views. - Positive titles average 18,755 views. - Neutral titles average 8,114 views. Most creators are writing the wrong titles and losing views before a single person clicks. Here's why. Humans are hardwired to avoid loss faster than they chase gain. A title that says "The Silver Market Is About To Break" creates immediate tension. The viewer can't scroll past without wondering what they're about to miss. A title that says "Why Silver Is A Good Investment" feels optional. Negative titles also attract a more engaged viewer. Someone clicking out of fear watches longer, comments more and subscribes at a higher rate. The algorithm sees that and pushes the video further. That is why we saw 63% more views on average across 212 million videos for negative titles. The formula to write these is simple: 1. Name a specific threat. 2. Attach a consequence the viewer cares about. 3. Make leaving feel like a mistake. Stop writing titles telling people what they will gain. Instead, show them what they're about to lose.

🚨BREAKING: Claude can now turn one AI video into 30 pieces of content like a $5K/mo content repurposing agency (for free). Here are 10 prompts that squeeze every drop of content from a single video: (Save for later)

Google Veo 3.1 lets you clone yourself from a single selfie and produce daily content without ever recording a video... here's the workflow: STEP 1: analyze your selfie with Gemini - upload a photo of yourself - prompt: "analyze this photo and write a detailed Veo 3 character description including facial features, hair, skin tone, clothing, and body language" - Gemini outputs a character profile STEP 2: generate video prompts - take that character description - ask Gemini: "write a 100-150 word cinematic Veo 3 prompt with character appearance, camera angle, and dialogue in quotes" some key tricks: start with "a selfie video of...", make the arm visible (sells the selfie illusion), add natural eye movement, put dialogue in quotes (Veo generates synced audio) and specify "no subtitles" STEP 3: generate with Veo 3.1 - paste into Google AI Studio - use "Ingredients to Video" : upload 4 reference photos for face consistency - output: 8-second clips at 1080p with synchronized dialogue you can create a lot of formats with this... the one going most viral: selfie-style walking + talking to camera... viewers genuinely can't tell it's AI

Trust me when I say This will print asf Holy shit pool of money This doesn’t mean y’all should get it saturated by next week 💀

How to make great Grok Imagine videos

HOW TO TRAIN AI TO WRITE YOUTUBE SCRIPTS (PROPERLY)

How to Train a Trading Bot on Real Indicators to $1000/day print Most losing bots blow up not from bad entries, but from trading when they shouldn't The formula: > RSI (context) + MACD (momentum) + Stochastic (timing) + EMA (structure) + OBV (confirmation) + VWAP (value) + Volatility (filter) = a bot that stops guessing and executes a framework 7 Indicators That Actually Work Also the fastest way to copy-trade anyone: @0xricker" target="_blank" rel="nofollow noopener">kreo.app/@0xricker 1. RSI - crowd emotion filter - RSI > 70 → market overheated → look for NO - RSI < 30 → market exhausted → look for YES 2. MACD - movement confirmation - Line crosses up → momentum building, crosses down → fading - Doesn't find the bottom — finds continuation, which is where money is made on short-term contracts 3. Stochastic - precision entry timing - Faster than RSI, reacts almost instantly - > 80 = overheated, < 20 = oversold, %K crossing %D = entry trigger 4. EMA - price structure - Fast EMA (9) + slow EMA (21/50) - Price chopping around EMAs → stay out, price clearly trending → engage 5. OBV - real money flow - Price ↑ + OBV ↑ = strong trend - Price ↑ + OBV flat/↓ = weak move = trap 6. VWAP - fair market price - Price above VWAP = bullish bias, below = bearish bias - Key edge: deviation from VWAP → often reverts = high-probability entry setup 7. Volatility Filter - when NOT to trade - Uses ATR (Average True Range) - Rule: only trade within the optimal volatility range

He made $1 MILLION on Polymarket in 3 weeks Fresh wallet. Only sport markets. Total domination. And this is the third time I’m posting him. Because this is THE BEST wallet to copy trade sports. He’s literally draining NBA markets right now: > $100k profit today > $600k profit this week > 11x return in 33 trades His profile: [@blessed-sunshine?r=dexterslab#u2UILn5" target="_blank" rel="nofollow noopener">polymarket.com/@blessed-sunsh…] This is not some random run. This is a sports betting veteran with 10+ years of experience who just discovered Polymarket. Same patterns you see in pro bettors. He doesn’t sit there all day clicking buttons. He waits. Finds one clean setup, enters with size, and logs off. No overtrading, no chasing. That’s why his execution looks so sharp. And that’s exactly why he turned his bankroll 10x in a month. I’ve said it MULTIPLE TIMES, but let me repeat: Specialists dominate these markets. And NBA is one of the easiest niches for them to exploit. For copy trading, this is as high-conviction as it gets right now. I’m already following him with my bot. If you wanna start, make sure to use the fastest bot available rn. Here's the one I use: [t.me/KreoPolyBot?st…] Full guide on how to set it up is attached below.