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$10,000 turned into $150,000 in 90 seconds — Part 2 Gamdom.com Limbo Beğen Paylaş Gamdom kullanıcı adını yaz (mocker) koduyla ödül 2x

Mocker

24,379 subscribers

19,151 просмотров • 13 часов назад •via X (Twitter)

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Комментарии: 21

Фото профиля Mocker

Mocker13 часов назад

Bir gün herkes limbo oynayacak😎

Фото профиля øxy ✝

øxy ✝10 часов назад

@gamdom manifesting this so hard. already under mocker code gamdom: heyoxygen

Фото профиля b o y

b o y11 часов назад

@gamdom appreciate u mocker the goat🖤 i tied hard for this, also used your referral code. id : theboyhuntz

Фото профиля Mizu ㊌ Mini Minister (MMM) 🥀

Mizu ㊌ Mini Minister (MMM) 🥀12 часов назад

@gamdom 🆔 Bluemizu Yes I'm under code mocker Congrats btw

Фото профиля ASH

ASH10 часов назад

@gamdom I'm starting to also like Limbo cause DAMNNNNNN HOW TO RUN IT LIKE THAT. Thanks for giving back always to the community @mockerbey !!! > Under your code, deposited and wagered. Also, LVL 2 KYC VERIFIED. MOCKER best code ALL THE WAY!!! ✨ gamdom - ashcutiee

Фото профиля void

void13 часов назад

@gamdom Gamdom username is voidfwsteve thank you @mockerbey

Фото профиля ADΞO

ADΞO12 часов назад

@gamdom Done! Registered with your code and got KYC lvl 2 sorted. Managed to wager $200+ off a $10 deposit today but didn't get anything back haha. username: web3deo Thanks, @mockerbey

Фото профиля Psychononumber☄

Psychononumber☄13 часов назад

@gamdom Thank you mocker, I show up daily, I hope you see me one Username: Nonum (under code) Thank you

Фото профиля MATEO

MATEO13 часов назад

@gamdom I'm wagering under your code ✅.....I honestly deserve this @mockerbey 🙏 Thanks Mocker Proof below Gamdom username: MATEOXXO Please help me champ @mockerbey

Фото профиля kc ۶ৎ

kc ۶ৎ12 часов назад

@gamdom I’m playing under your code mocker. Gamdom username: cxssiieee Already locked in with the code, watching the runs, and hoping this one brings some luck my way too. Thank u so much @mockerbey ! Manifesting my first win from u 🥺🙏🏻

Фото профиля a n g e l 🦋

a n g e l 🦋10 часов назад

@gamdom gamdom UID: 48188271 gamdom usn: angelkie08 thank you so much @mockerbey 🫡 been joining for a while and still no luck! 😞 Hoping today is my lucky day for my first win! 🙏

Фото профиля ADE🤴

ADE🤴13 часов назад

@gamdom Thank you legend @mockerbey , created an account with your code “Mocker” and I’ve always been playing Limbo Username: Ade053

Фото профиля EmyGFX

EmyGFX12 часов назад

@gamdom Bu 90 saniyelik Limbo başka boyutta 🔥 mocker koduyla kayıtlıyım. Gamdom 🆔: EmyGFX Herkes limbo oynayacak günü sen açtın kral 😎 Kullanıcı adını büyük/kalın yaz, mümkünse hesap ekran görüntüsü de ekle.

Фото профиля SAINT走运🦉🍀

SAINT走运🦉🍀13 часов назад

@zeroonstake @gamdom This huge Keep going my king Thank you for this opportunity. Gamdom username. Saintron0 I really hope I get a win so I can sort out my school stuff next week

Фото профиля Babs

Babs13 часов назад

@hy_drox_ @gamdom Always under code (mocker). Please bless me my King 👑 Thank you @mockerbey ❤️ Username: Babsjide

Фото профиля sasuke.sol🥷🏾㊗️

sasuke.sol🥷🏾㊗️13 часов назад

@gamdom I’m under code “mocker” Deposited and Gambled Gamdom Username - Sasuke101 This win would be a life saver, Save a brother down bad, debts are due, Basically my life’s fucked rn This would really heal me, thanks alot @mockerbey

Фото профиля YKTrojan

YKTrojan13 часов назад

@gamdom Gamdom username- yktrojan Thanks so much mocker appreciate the opportunity

Фото профиля Gem

Gem13 часов назад

@gamdom 🎰 Gamdom ID: gemilmx I’m in! 🫡❤️ under Mocker’s code. ✅ KYC Level 2 verified 💰 Deposit completed 🎯 Wager already placed Hoping this one goes my way 🍀🤞🏾 Best of luck to everyone participating! ❤️

Фото профиля RÀYTRÄZ ♟️🃏

RÀYTRÄZ ♟️🃏13 часов назад

@gamdom The way you bless strangers and make them happy is truly amazing. I wish you nothing but happiness in return. There’s a good chance you won’t see this comment but I pray God blesses me through you ❤️ 🆔 = mockerlovesraytraz

Фото профиля SOMMIE 🧚‍♂️

SOMMIE 🧚‍♂️12 часов назад

@gamdom LIMBO WENT CRAZY 🤯🔥 Gamdom: Sommie

Фото профиля Soysolos

Soysolos13 часов назад

@gamdom MOCKER IS ON AN ABSOLUTE GOAT OF LIMBO 😭 🔥 keep cooking. Hopefully some of that luck lands on me 🤞 Gamdom soysolos1

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One random click made me rich. Scrolling GitHub at 4am. One C++ file. One wallet. $680K in 4 months. Called kingofcoinflips. 2223 trades since August. Profit curve straight line to the sky. Not a single drawdown. I expected neural networks. Complex hedges. Some kind of magic. → Account: Turned out stupid simple. Bot takes money from 15 minute BTC windows. When Bitcoin on Binance flies in any direction, Polymarket quotes lag 30-90 seconds behind. Bot sees the impulse in reality. Bets on the future that has not arrived on Polymarket yet. Entered at 39 cents. Exited at 75. Repeated. Biggest profit from one trade $65K. In 15 minutes. Iron discipline. Entry always $8K. Does not care won or lost. Next trade exactly the same. Portfolio not just Bitcoin. 35% Ethereum. 15% Solana. Up to 9 positions at once. Funniest part the name. Coinflips. With 90% accuracy this is not a game. This is robbery. Integrated the pattern into my C++ scanner. Now it catches wallets with the same signature. One click at 4am. One file. One life before another after.

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One random scroll changed everything. 4am. Couldn't sleep. Digging through Polymarket leaderboards. Found a wallet that made $699K in 5 months. Called kingofcoinflips. 2,342 trades since August. Profit curve goes straight up. Almost no red anywhere. I expected some insider. Institutional desk. Hidden alpha nobody talks about. → Wallet: Turned out brutally simple. He trades 15 minute BTC windows. When Bitcoin moves on spot exchanges, Polymarket odds take 30-90 seconds to catch up. He sees what already happened. Bets before the market updates. Entry at 39 cents. Exit at 75. Repeat. Biggest single win: $69.8K. Fifteen minutes of work. Iron discipline. Same position size every time. Win or lose, next trade looks identical. Not just Bitcoin. Ethereum. Solana. Up to 9 positions running simultaneously. Current portfolio: $136K in active bets. The funniest part? The name. Coinflips. With this accuracy, it stopped being gambling long ago. I deleted my indicators. Stopped guessing outcomes. Started watching what wallets like this actually do. One sleepless night. One leaderboard. One decision that split my life into before and after.

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NEW: Dutch Parliament Member Michel Hoogeveen explains how the 36% unrealized capital gains tax, just passed by the House of Representatives, will work. Here is a more detailed example: Step 1. Starting position You own 500 shares. Value on Jan 1, 2028: €50,000 Value on Jan 1, 2029: €100,000 So the paper gain is: €100,000 − €50,000 = €50,000 unrealized profit You did not sell. But for tax purposes, that €50,000 is treated as income. Step 2. Apply exemption You are married, so you get a €3,600 exemption. €50,000 − €3,600 = €46,400 taxable amount Tax rate: 36% €46,400 × 36% = €16,704 tax bill That bill is due in May, even though you never sold anything. Step 3. Market falls before you pay Now suppose by May the shares drop in value. New total value: €60,000 So your portfolio is no longer worth €100,000. It’s worth €60,000. But the tax bill is still €16,704, because it was calculated based on the January 1 valuation. Step 4. You must sell shares to pay tax To raise €16,704, you sell part of your shares. After paying the tax, you’re left with: €60,000 − €16,704 = €43,296 Originally you had 500 shares. Now you have 360 shares left. You were forced to sell 140 shares. 140 ÷ 500 = 28% of your shares gone. Step 5. What happened economically? Before the correction: Paper gain was €50,000. After the correction: Portfolio is worth €60,000. Original cost basis was €50,000. Real gain is only €10,000. But you paid €16,704 in tax. So instead of being up €10,000, you are now: €43,296 − €50,000 = €6,704 below your original starting value. You turned a €10,000 real gain into a €6,704 net loss. And you lost 28% of your shares permanently.

NEW: Dutch Parliament Member Michel Hoogeveen explains how the 36% unrealized capital gains tax, just passed by the House of Representatives, will work. Here is a more detailed example: Step 1. Starting position You own 500 shares. Value on Jan 1, 2028: €50,000 Value on Jan 1, 2029: €100,000 So the paper gain is: €100,000 − €50,000 = €50,000 unrealized profit You did not sell. But for tax purposes, that €50,000 is treated as income. Step 2. Apply exemption You are married, so you get a €3,600 exemption. €50,000 − €3,600 = €46,400 taxable amount Tax rate: 36% €46,400 × 36% = €16,704 tax bill That bill is due in May, even though you never sold anything. Step 3. Market falls before you pay Now suppose by May the shares drop in value. New total value: €60,000 So your portfolio is no longer worth €100,000. It’s worth €60,000. But the tax bill is still €16,704, because it was calculated based on the January 1 valuation. Step 4. You must sell shares to pay tax To raise €16,704, you sell part of your shares. After paying the tax, you’re left with: €60,000 − €16,704 = €43,296 Originally you had 500 shares. Now you have 360 shares left. You were forced to sell 140 shares. 140 ÷ 500 = 28% of your shares gone. Step 5. What happened economically? Before the correction: Paper gain was €50,000. After the correction: Portfolio is worth €60,000. Original cost basis was €50,000. Real gain is only €10,000. But you paid €16,704 in tax. So instead of being up €10,000, you are now: €43,296 − €50,000 = €6,704 below your original starting value. You turned a €10,000 real gain into a €6,704 net loss. And you lost 28% of your shares permanently.

Bitcoin News

6,256,035 просмотров • 7 месяцев назад

Obsidian + Claude Code turned a 4,300-note vault into a second brain that answers back. Most people use Obsidian as a graveyard. You save 40 highlights a week, link nothing, and reread maybe 2% of it. The knowledge is there the retrieval is dead. Claude Code fixes the retrieval, because your vault is just a folder of markdown files and Claude Code lives in folders. The whole setup takes 20 minutes: Open a terminal inside your Obsidian folder and run Claude Code no plugins, no API glue, no export step. It reads all 4,300 files natively. Then drop a CLAUDE.md at the vault root explaining your structure: where daily notes live, how you tag, what your MOCs are. Now every session starts with context instead of chaos. From there you just talk to your vault: > "find every note where I mentioned churn and write a summary with backlinks" > "read my last 30 daily notes and list the 5 ideas I keep circling but never ship" > "build a MOC for everything tagged startup-ideas and link the orphan notes into it" It writes new notes straight into the vault with proper [[wikilinks]], and they show up in your graph view 10 seconds later. The boring layer automates too one command cleans broken links, one merges duplicates, one turns 6 months of meeting notes into a single decisions log. Work that used to eat a Sunday now runs while you make coffee. Before: 4,300 notes, 900 orphans, search by keyword and prayer. After: an agent that read everything you ever wrote and drafts in your own voice, from your own sources, with receipts. People pay $30/month for AI note apps with 10% of this. You already own the other 90%. Your notes stopped being storage. They started being staff.

Obsidian + Claude Code turned a 4,300-note vault into a second brain that answers back. Most people use Obsidian as a graveyard. You save 40 highlights a week, link nothing, and reread maybe 2% of it. The knowledge is there the retrieval is dead. Claude Code fixes the retrieval, because your vault is just a folder of markdown files and Claude Code lives in folders. The whole setup takes 20 minutes: Open a terminal inside your Obsidian folder and run Claude Code no plugins, no API glue, no export step. It reads all 4,300 files natively. Then drop a CLAUDE.md at the vault root explaining your structure: where daily notes live, how you tag, what your MOCs are. Now every session starts with context instead of chaos. From there you just talk to your vault: > "find every note where I mentioned churn and write a summary with backlinks" > "read my last 30 daily notes and list the 5 ideas I keep circling but never ship" > "build a MOC for everything tagged startup-ideas and link the orphan notes into it" It writes new notes straight into the vault with proper [[wikilinks]], and they show up in your graph view 10 seconds later. The boring layer automates too one command cleans broken links, one merges duplicates, one turns 6 months of meeting notes into a single decisions log. Work that used to eat a Sunday now runs while you make coffee. Before: 4,300 notes, 900 orphans, search by keyword and prayer. After: an agent that read everything you ever wrote and drafts in your own voice, from your own sources, with receipts. People pay $30/month for AI note apps with 10% of this. You already own the other 90%. Your notes stopped being storage. They started being staff.

Spike 1%

18,223 просмотров • 2 месяцев назад

After Elon Musk reposted my Grok Bot guide, my friend Ryan used it to run his strip club. 7 days ago, he replaced his entire middle management with 8 Grok agents ($200/mo). Last week alone, he saved $10,000 in salaries and missed leads. Not because the club magically got better, but because he killed the middle layer that was eating his margin. Before that, the setup was classic and expensive. Back-of-house sat on 6 people: > 1 recruiter > 1 person on applications > 1 cashier > 2 shift managers > 1 person on after-close requests That layer cost about $8,400–$9,200 a week once you counted base pay, cuts, “bonuses,” and money that never made the report. The recruiter took $50–$150 per new girl. The cashier spent 1.5–2 hours closing a shift. On Friday the managers generated 80–120 messages on the schedule alone. The after-shift person held 10–15 requests in his head and lost 2–3 of them every week simply because someone did not answer in time. Ryan saw the formula fast. Those people almost never made hard decisions. They moved data. • An application came in → a person opened a chat. • A girl wrote “I can do Friday” → a person typed a row into a spreadsheet. • A client left a request → a person relayed it to a manager. • The manager opened the schedule → and texted the girl. • The shift ended → the cashier counted a stack and entered a number by hand. Every handoff leaked time and money. Applications. A live staffer used to review 40–60 incoming files a week. One file took 8–12 minutes. Total: 7–10 hours of raw review, plus another 3–4 hours on “send a reminder,” “send more,” “when can you work.” Out of 50 applications, 6–8 made it to a shift. Conversion was weak not because of the room, but because half the threads went cold for 24–48 hours. Scheduling. Friday looked like this: 12 people want on, 8 slots. 1 can start only after 21:00. 1 will not work after 00:00. 1 drops out with 40 minutes left. 1 wants a swap. A manager already promised the slot to a fifth person. One change created 5 new messages. One substitution cycle took 20–40 minutes. By the end of the night there were 3–5 holes in the grid. Money. That was the dirtiest part. By morning the count was off by $180–$400 on average. Sometimes $70. Sometimes $600. The explanations were always human: tips booked to the wrong place, a commission forgotten, a number rounded, an envelope put in the wrong pile, a shift closed from memory. The cashier was not an analyst. He was a loss point. After-shift requests. The old chain took 25–45 minutes: client → manager → spreadsheet → message to the girl → wait → reply to the client. Out of 12 requests, 2–3 died in transit. Not because of a refusal. Because of human lag. 7 days ago Ryan cut that layer and hung it on Grok. The application flow dropped into one funnel with statuses: NEW → REVIEW → APPROVED → SCHEDULED → ACTIVE → INACTIVE The bot sent the first packet itself, collected the fields, and closed the gaps. If data was missing → it asked. If there was silence for 48 hours → it nudged. Ryan no longer opened 50 chats. He opened one feed. He touched only REVIEW and exceptions by hand. First-pass review fell from 8–12 minutes per application to 30–90 seconds of control. In a week, 53 applications went through the funnel. 11 made it to a shift. That was no longer “we got lucky.” That was because no application rotted in a manager’s DMs. The schedule became a rule, not a group chat. A girl marked available slots. The system saw 8 seats, not “we’ll figure it out.” Overbook went to a waitlist. A drop with 40 minutes left no longer spawned a 5-chat mess: the slot jumped to the next person in line in 10–20 seconds. Friday noise fell from 80–120 messages to 10–15 exceptions. Shift manager as a job title became unnecessary. The register stopped being a notebook. Every operation was written immediately. Shift close produced one summary: - floor revenue - tips - commissions - payouts - adjustments - variance If the total did not match, the system did not say “error somewhere.” It pointed at the exact operation. Over 7 days, variance stayed in the $0–$25 range instead of the old $180–$400. The weekly difference was about $1,200–$2,500 on “it didn’t add up” alone. The client loop collapsed from 4 human nodes into 1 route. A request entered the bot. The bot pulled the standard fields, checked availability, pinged the girl, and after 2 confirmations closed both sides with a notification. Cycle time fell from 25–45 minutes to 2–4 minutes on a standard request. Burned requests for the week: 0. Before that, it was 2–3 lost checks every week. Ryan’s role got narrow and hard. The bot closed the rule. He closed the exception. Morning looked like a panel, not a meeting: > 3 new applications in NEW > 1 card in REVIEW > 2 shift cancellations > 1 operation for manual review > 47 automated messages already sent without him The only living parts left were him and the girls on the floor. Plus anyone who took an after-shift call. The middle layer: sourcing, screening, schedule, requests, counting → sat on a $200 subscription. In numbers, the week looked like this. Old model: > 6 people in the management loop > $8,400–$9,200 for that layer > 7–10 hours on applications > 80–120 messages on one heavy Friday > $180–$400 holes in the cash > 2–3 lost requests > 25–45 minutes per client cycle New model: > 1 person > $200 for the tool > 30–90 seconds of standard application control > 10–15 exceptions instead of a whole-floor chat storm > $0–$25 on the register > 0 lost standard requests > 2–4 minutes per standard cycle That is where the ~$10,000 in 7 days came from. Not “floor magic.” A removed human tax: - pay for 6 people - recruiter cuts - cash holes - burned requests - hours spent moving the same row from a chat into a spreadsheet In this system, those people were not the “soul of the club.” They were latency and leak. Every extra node added delay. Every live data handoff added error. Every notebook added a gap for rounding. Ryan removed the nodes. He left rules, statuses, a ledger, and one escalation point. So after 7 days the model already counted as a delta, not an experiment. $200 on top. About $10,000 in the plus. And the proof was short: the club ran. The middle-layer staff did not. Their job was done by the bot. bookmark this.

After Elon Musk reposted my Grok Bot guide, my friend Ryan used it to run his strip club. 7 days ago, he replaced his entire middle management with 8 Grok agents ($200/mo). Last week alone, he saved $10,000 in salaries and missed leads. Not because the club magically got better, but because he killed the middle layer that was eating his margin. Before that, the setup was classic and expensive. Back-of-house sat on 6 people: > 1 recruiter > 1 person on applications > 1 cashier > 2 shift managers > 1 person on after-close requests That layer cost about $8,400–$9,200 a week once you counted base pay, cuts, “bonuses,” and money that never made the report. The recruiter took $50–$150 per new girl. The cashier spent 1.5–2 hours closing a shift. On Friday the managers generated 80–120 messages on the schedule alone. The after-shift person held 10–15 requests in his head and lost 2–3 of them every week simply because someone did not answer in time. Ryan saw the formula fast. Those people almost never made hard decisions. They moved data. • An application came in → a person opened a chat. • A girl wrote “I can do Friday” → a person typed a row into a spreadsheet. • A client left a request → a person relayed it to a manager. • The manager opened the schedule → and texted the girl. • The shift ended → the cashier counted a stack and entered a number by hand. Every handoff leaked time and money. Applications. A live staffer used to review 40–60 incoming files a week. One file took 8–12 minutes. Total: 7–10 hours of raw review, plus another 3–4 hours on “send a reminder,” “send more,” “when can you work.” Out of 50 applications, 6–8 made it to a shift. Conversion was weak not because of the room, but because half the threads went cold for 24–48 hours. Scheduling. Friday looked like this: 12 people want on, 8 slots. 1 can start only after 21:00. 1 will not work after 00:00. 1 drops out with 40 minutes left. 1 wants a swap. A manager already promised the slot to a fifth person. One change created 5 new messages. One substitution cycle took 20–40 minutes. By the end of the night there were 3–5 holes in the grid. Money. That was the dirtiest part. By morning the count was off by $180–$400 on average. Sometimes $70. Sometimes $600. The explanations were always human: tips booked to the wrong place, a commission forgotten, a number rounded, an envelope put in the wrong pile, a shift closed from memory. The cashier was not an analyst. He was a loss point. After-shift requests. The old chain took 25–45 minutes: client → manager → spreadsheet → message to the girl → wait → reply to the client. Out of 12 requests, 2–3 died in transit. Not because of a refusal. Because of human lag. 7 days ago Ryan cut that layer and hung it on Grok. The application flow dropped into one funnel with statuses: NEW → REVIEW → APPROVED → SCHEDULED → ACTIVE → INACTIVE The bot sent the first packet itself, collected the fields, and closed the gaps. If data was missing → it asked. If there was silence for 48 hours → it nudged. Ryan no longer opened 50 chats. He opened one feed. He touched only REVIEW and exceptions by hand. First-pass review fell from 8–12 minutes per application to 30–90 seconds of control. In a week, 53 applications went through the funnel. 11 made it to a shift. That was no longer “we got lucky.” That was because no application rotted in a manager’s DMs. The schedule became a rule, not a group chat. A girl marked available slots. The system saw 8 seats, not “we’ll figure it out.” Overbook went to a waitlist. A drop with 40 minutes left no longer spawned a 5-chat mess: the slot jumped to the next person in line in 10–20 seconds. Friday noise fell from 80–120 messages to 10–15 exceptions. Shift manager as a job title became unnecessary. The register stopped being a notebook. Every operation was written immediately. Shift close produced one summary: - floor revenue - tips - commissions - payouts - adjustments - variance If the total did not match, the system did not say “error somewhere.” It pointed at the exact operation. Over 7 days, variance stayed in the $0–$25 range instead of the old $180–$400. The weekly difference was about $1,200–$2,500 on “it didn’t add up” alone. The client loop collapsed from 4 human nodes into 1 route. A request entered the bot. The bot pulled the standard fields, checked availability, pinged the girl, and after 2 confirmations closed both sides with a notification. Cycle time fell from 25–45 minutes to 2–4 minutes on a standard request. Burned requests for the week: 0. Before that, it was 2–3 lost checks every week. Ryan’s role got narrow and hard. The bot closed the rule. He closed the exception. Morning looked like a panel, not a meeting: > 3 new applications in NEW > 1 card in REVIEW > 2 shift cancellations > 1 operation for manual review > 47 automated messages already sent without him The only living parts left were him and the girls on the floor. Plus anyone who took an after-shift call. The middle layer: sourcing, screening, schedule, requests, counting → sat on a $200 subscription. In numbers, the week looked like this. Old model: > 6 people in the management loop > $8,400–$9,200 for that layer > 7–10 hours on applications > 80–120 messages on one heavy Friday > $180–$400 holes in the cash > 2–3 lost requests > 25–45 minutes per client cycle New model: > 1 person > $200 for the tool > 30–90 seconds of standard application control > 10–15 exceptions instead of a whole-floor chat storm > $0–$25 on the register > 0 lost standard requests > 2–4 minutes per standard cycle That is where the ~$10,000 in 7 days came from. Not “floor magic.” A removed human tax: - pay for 6 people - recruiter cuts - cash holes - burned requests - hours spent moving the same row from a chat into a spreadsheet In this system, those people were not the “soul of the club.” They were latency and leak. Every extra node added delay. Every live data handoff added error. Every notebook added a gap for rounding. Ryan removed the nodes. He left rules, statuses, a ledger, and one escalation point. So after 7 days the model already counted as a delta, not an experiment. $200 on top. About $10,000 in the plus. And the proof was short: the club ran. The middle-layer staff did not. Their job was done by the bot. bookmark this.

Ridark

187,142 просмотров • 21 дней назад

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

66,385 просмотров • 8 месяцев назад

You are full of shit. That is what I told my friend when he said he turned $800 into $47K in 6 weeks. Then he showed me his phone. I felt sick. Not because he was lying. Because he wasn't. 43 trades. 41 wins. 2 losses. The screenshot was real. Every single position closed in profit. Did you find some insider source? I asked. He laughed. I don't even read the news anymore. Then he showed me something that broke my brain: He doesn't pick the trades. He mirrors them. There is a wallet on Polymarket that's up 940%. Not luck. Not once. Three months straight of winning. See for yourself: My friend's entire strategy: → Wake up → Check if that wallet traded → Copy the exact position within 60 seconds → Go back to sleep No research. No FOMO. No what if I'm wrong. He's literally parasiting on someone else's edge. And here's the part that made me feel sick: While he's printing money on autopilot I'm reading 30-page election analyses at 2am. Spending hours cross-referencing polls. Building spreadsheets. Overthinking every single trade. He's not smarter than me. He's not richer. He's not connected. He just stopped pretending manual trading isn't a scam. I asked him: What if that wallet stops winning? He shrugged: Then I find another one. There's always a new king. Cold. Calculated. Zero emotion. This isn't trading. This is systematic theft from people who still think effort matters. Yesterday I started doing the same thing. I found the wallet. I set up alerts. I copied 4 trades. I'm 4/4. I've spent zero hours on research. My friend was right. The market doesn't reward the smartest. It rewards the fastest shadow. You can keep reading reports at 3am. You can keep building models that should work. Or you can accept the truth: Someone already figured it out. Your job isn't to be smarter. Your job is to copy faster. P.S. I won't name the wallet. But if you know where to look on Polymarket you'll find it. Top performers. Recent volume. Consistent win rate above 90%. They're not hiding. You're just not looking.

You are full of shit. That is what I told my friend when he said he turned $800 into $47K in 6 weeks. Then he showed me his phone. I felt sick. Not because he was lying. Because he wasn't. 43 trades. 41 wins. 2 losses. The screenshot was real. Every single position closed in profit. Did you find some insider source? I asked. He laughed. I don't even read the news anymore. Then he showed me something that broke my brain: He doesn't pick the trades. He mirrors them. There is a wallet on Polymarket that's up 940%. Not luck. Not once. Three months straight of winning. See for yourself: My friend's entire strategy: → Wake up → Check if that wallet traded → Copy the exact position within 60 seconds → Go back to sleep No research. No FOMO. No what if I'm wrong. He's literally parasiting on someone else's edge. And here's the part that made me feel sick: While he's printing money on autopilot I'm reading 30-page election analyses at 2am. Spending hours cross-referencing polls. Building spreadsheets. Overthinking every single trade. He's not smarter than me. He's not richer. He's not connected. He just stopped pretending manual trading isn't a scam. I asked him: What if that wallet stops winning? He shrugged: Then I find another one. There's always a new king. Cold. Calculated. Zero emotion. This isn't trading. This is systematic theft from people who still think effort matters. Yesterday I started doing the same thing. I found the wallet. I set up alerts. I copied 4 trades. I'm 4/4. I've spent zero hours on research. My friend was right. The market doesn't reward the smartest. It rewards the fastest shadow. You can keep reading reports at 3am. You can keep building models that should work. Or you can accept the truth: Someone already figured it out. Your job isn't to be smarter. Your job is to copy faster. P.S. I won't name the wallet. But if you know where to look on Polymarket you'll find it. Top performers. Recent volume. Consistent win rate above 90%. They're not hiding. You're just not looking.

Blaze

23,073 просмотров • 8 месяцев назад

🚨 WARNING: SOMETHING EXTREMELY BAD IS COMING!! Look like the deal has become almost impossible. On May 28, Iran carried out a strike on a U.S. military base. Today, on May 29, Iran says that it: "DOESN'T INTEND TO TRANSFER URANIUM TO THIRD COUNTIRES" Trump literally said to all Americans: Nuclear issue is a KEY POINT in possible negotiations. NOW IT FEELS IMPOSSIBLE. If you hold any assets: - Stocks - Crypto - Bonds - Or even the dollar You MUST read this post before it’s too late: The closure of the Strait of Hormuz (through which 20% of global oil and 25% of LNG passes). Turned a local conflict into a global energy shock comparable to the 1970s crisis. Oil prices have already broken $90 per barrel. Analysts predict a spike to $160+ if the blockade stretches through the summer. JUST IMAGINE. $160 PER BARREL. QatarEnergy has declared force majeure. In Europe gas prices have surged. Hitting the industries of Germany and Italy and pushing them to the edge of a TECHNICAL RECESSION. In the US retail gasoline prices are rising by 5-10 cents DAILY. Hopes for rate cuts in 2026 are buried. US inflation is expected to rise 1.5% above forecasts because of fuel prices. The ECB has already officially revised forecasts toward higher inflation and lower GDP. The Fed is forced to keep rates high (“High for longer”) to prevent inflation expectations from becoming unanchored And this is KILLING lending. The technology sector (S&P500, NASDAQ) is suffering the most for two reasons: 1/ High rates discount future tech profits. 2/ The conflict in the Persian Gulf also means a shortage of chemicals and a logistical nightmare for semiconductors. Global stock sell-off and flight into “safe haven” assets: gold, the dollar (DXY approaching 105) and US Treasuries. Contrary to the “digital gold” myth, During moments of severe geopolitical shocks crypto correlates with risk assets (tech stocks). Traders are closing BTC/ETH positions to cover MARGIN CALLS on stocks. Bitcoin is showing extreme volatility reacting to every missile launch. Institutions are moving into cash. If Iran responds to a possible US “retaliatory strike” on its territory, Oil will become physically UNAVAILABLE for part of Asia. Which could trigger a domino wave of BANKRUPTCIES in the transportation sector. The deal now looks IMPOSSIBLE. As the Trump administration has shifted to MAXIMUM PRESSURE rhetoric. This sounds SCARY, but I will keep you updated on everything here. When I rotate money, I will post my moves here so my FOLLOWERS can SAVE their money. Follow me and turn NOTIFICATIONS ON as I will share my strategy soon. Many will regret not following me earlier..

🚨 WARNING: SOMETHING EXTREMELY BAD IS COMING!! Look like the deal has become almost impossible. On May 28, Iran carried out a strike on a U.S. military base. Today, on May 29, Iran says that it: "DOESN'T INTEND TO TRANSFER URANIUM TO THIRD COUNTIRES" Trump literally said to all Americans: Nuclear issue is a KEY POINT in possible negotiations. NOW IT FEELS IMPOSSIBLE. If you hold any assets: - Stocks - Crypto - Bonds - Or even the dollar You MUST read this post before it’s too late: The closure of the Strait of Hormuz (through which 20% of global oil and 25% of LNG passes). Turned a local conflict into a global energy shock comparable to the 1970s crisis. Oil prices have already broken $90 per barrel. Analysts predict a spike to $160+ if the blockade stretches through the summer. JUST IMAGINE. $160 PER BARREL. QatarEnergy has declared force majeure. In Europe gas prices have surged. Hitting the industries of Germany and Italy and pushing them to the edge of a TECHNICAL RECESSION. In the US retail gasoline prices are rising by 5-10 cents DAILY. Hopes for rate cuts in 2026 are buried. US inflation is expected to rise 1.5% above forecasts because of fuel prices. The ECB has already officially revised forecasts toward higher inflation and lower GDP. The Fed is forced to keep rates high (“High for longer”) to prevent inflation expectations from becoming unanchored And this is KILLING lending. The technology sector (S&P500, NASDAQ) is suffering the most for two reasons: 1/ High rates discount future tech profits. 2/ The conflict in the Persian Gulf also means a shortage of chemicals and a logistical nightmare for semiconductors. Global stock sell-off and flight into “safe haven” assets: gold, the dollar (DXY approaching 105) and US Treasuries. Contrary to the “digital gold” myth, During moments of severe geopolitical shocks crypto correlates with risk assets (tech stocks). Traders are closing BTC/ETH positions to cover MARGIN CALLS on stocks. Bitcoin is showing extreme volatility reacting to every missile launch. Institutions are moving into cash. If Iran responds to a possible US “retaliatory strike” on its territory, Oil will become physically UNAVAILABLE for part of Asia. Which could trigger a domino wave of BANKRUPTCIES in the transportation sector. The deal now looks IMPOSSIBLE. As the Trump administration has shifted to MAXIMUM PRESSURE rhetoric. This sounds SCARY, but I will keep you updated on everything here. When I rotate money, I will post my moves here so my FOLLOWERS can SAVE their money. Follow me and turn NOTIFICATIONS ON as I will share my strategy soon. Many will regret not following me earlier..

ᴛʀᴀᴄᴇʀ

60,930 просмотров • 3 месяцев назад

🚨 Chinese developers just dropped a 4-minute video and GitHub Repo that’s exploding the internet. They opened a terminal… and in just 4 minutes built a team of 7 AI agents that completely replace an entire customer support department. Cost? > Only $50 a month. > One agent classifies tickets. > One reads the knowledge base. > One handles billing. > One watches the customer’s tone. > One decides when to escalate. > One writes the reports. And one agent runs all the other six. The results? Brutal. 1,200 tickets a day per agent. More than a full call center of 8 human operators. Companies used to spend $25,000–$40,000 per month on salaries. Now they pay just $50 for the API. The video hit 4 million views in 72 hours. Every CEO in China was forwarding it. Every support team in America is panicking. While the West is still debating “Will AI replace jobs?”… China just published the actual manual on how to fire an entire department. But wait it gets way crazier. Pause the video at 0:39. Ignore the guy in the blue shirt. Look at the second monitor on the right. That’s not a support dashboard. That’s a live trading wallet. > Username: gabagool22 > $868,862 profit > 28,620 predictions > All on Bitcoin > All 15-minute windows Every single one green. Profile: Copying his trades: GitHub: The comment section turned into a detective agency. People slowed the video to 0.5x, screenshot every frame, and stitched the full wallet together from just 6 seconds of background footage. Entry prices: 2 to 10 cents. Payouts: thousands of dollars. Not one red trade in 28,620 bets. Biggest single win? $4,696 in one 15-minute window. Here’s the insane part: The 7 AI agents save a company $40K a month. The wallet on their second monitor makes that money in one good week. They were teaching the world how to replace humans with cheap AI. Meanwhile, their own setup behind the camera was already replacing traders. They deleted the wallet zoom in the next upload. Too late. Someone screen-recorded it anyway. The tutorial got 4 million views. The secret wallet clip got another 800K. Now 727K people are staring at that wallet. The 7 agents are still answering tickets somewhere for $50 a month. But the wallet behind them? It doesn’t need 7 agents. It only needs one. And that one was already running while they were filming. Mind officially blown Screenshot it. Send it to a friend. And ask yourself: what’s running on your second monitor?

AdiiX

23,355 просмотров • 4 месяцев назад

Testing one of the best safety features of an airplane, the “Enhanced Ground Proximity Warning System” (EGPWS, pronounced E Gyp-Wiz). It’s part of every preflight check. Sound on! It’s a warning system. While the jet has separate warnings for things wrong internally, EGPWS is concerned about what’s outside the jet, not what’s inside. It’s primarily concerned w/ terrain & obstacles…EGPWS can “see” outside when pilots can’t. It doesn’t actually see anything, though. There are no cameras or lasers. EGPWS does use the jet’s radar, but not for detecting terrain. (We’ll talk more about radar in a minute, but it’s not useful for orienting yourself to terrain in the vertical. It has a “map” mode that you can use to “paint” things like cities, lakes & shorelines, but it only knows how strong the reflection is & how far away, not how high. We almost never use it in map mode, anyway) EGPWS uses the jets navigation systems – like GPS, Inertial Reference, Altimeters, airspeed, etc. – to plot a position in a virtual world. This world is contained in a database on the jet; it’s constantly plotting your position & then estimating where you’ll be in the next few minutes if the trend continues. The virtual world database knows where the mountains are. When you get close to airports in the database (not all airports are in it), it knows where the buildings & antennas are, too, out to a certain radius. Past that radius, it stops caring about the manmade objects. Anyway, it can tell if you will hit something on your current trend & will issue various warnings. It can give you up to 60 seconds of warning. It starts out slow, like saying “CAUTION, TERRAIN”, but if you don’t fix it, it gets serious…“TERRAIN, TERRAIN, PULL UP!”. You’re 20-30 seconds from impact. It’s not a miracle worker, though. It can wait to give you a warning that you can’t fix. Imagine flying toward a 10,000’ high cliff at 1,000’. A 60 second warning will not be enough time to climb 9,000’ & clear it. Or, it sees a mountain to your right, but your current path is clear. It doesn’t know you’ll do a 90° right turn once abeam the mountain. Now you’ll get some late warnings. EGPWS has various other functions. If you get on the approach but haven’t configured to land, it will say “TOO LOW, FLAPS” (or GEAR). If you start getting below the glidepath, it will say “GLIDESLOPE”. Start descending right after takeoff? “DON’T SINK”…and if you do keep sinking, it switches to “PULL UP!” Now, EGPWS doesn’t use the onboard Doppler radar for any of these functions, but it does use it to detect windshear. EGPWS doesn’t care if you turn on the radar or not, it turns it on itself when you push the throttles up for takeoff or when you descend below a certain altitude on approach. It takes about 12 seconds for the radar to build a picture from that point, but once it does, it can “see” windshear. The Doppler detects this by bouncing radar off of particulates & reading how they are moving at different altitudes. The particulates can be dust or just humidity…the radar can’t read air molecules by themselves. So, it’s still possible to get windshear the radar doesn’t see on very dry, clean days. EGPWS hates windshear. If it detects it, EGPWS replaces your screen w/ the radar – even if not turned on by you – & starts with a gentle warning to “MONITOR RADAR DISPLAY”. If you get closer to it, you get “WINDSHEAR AHEAD” (on takeoff – abort if you still can) or “GO AROUND, WINDSHEAR AHEAD!” (on landing). EGPWS is great, but can’t actually move the jet. It’s not connected to the controls in any way. Some fighters do have that capability, but not airliners. The pilots have to fix it. OK, that’s a brief summary of EGPWS. As usual, I’m dramatically simplifying things for a non-techie audience…there is much more to it & different models of jets have slight differences in how this all works. The 737 MAX has some improvements, w/ different voices & even panic, but I don’t have one to record, sorry!

Testing one of the best safety features of an airplane, the “Enhanced Ground Proximity Warning System” (EGPWS, pronounced E Gyp-Wiz). It’s part of every preflight check. Sound on! It’s a warning system. While the jet has separate warnings for things wrong internally, EGPWS is concerned about what’s outside the jet, not what’s inside. It’s primarily concerned w/ terrain & obstacles…EGPWS can “see” outside when pilots can’t. It doesn’t actually see anything, though. There are no cameras or lasers. EGPWS does use the jet’s radar, but not for detecting terrain. (We’ll talk more about radar in a minute, but it’s not useful for orienting yourself to terrain in the vertical. It has a “map” mode that you can use to “paint” things like cities, lakes & shorelines, but it only knows how strong the reflection is & how far away, not how high. We almost never use it in map mode, anyway) EGPWS uses the jets navigation systems – like GPS, Inertial Reference, Altimeters, airspeed, etc. – to plot a position in a virtual world. This world is contained in a database on the jet; it’s constantly plotting your position & then estimating where you’ll be in the next few minutes if the trend continues. The virtual world database knows where the mountains are. When you get close to airports in the database (not all airports are in it), it knows where the buildings & antennas are, too, out to a certain radius. Past that radius, it stops caring about the manmade objects. Anyway, it can tell if you will hit something on your current trend & will issue various warnings. It can give you up to 60 seconds of warning. It starts out slow, like saying “CAUTION, TERRAIN”, but if you don’t fix it, it gets serious…“TERRAIN, TERRAIN, PULL UP!”. You’re 20-30 seconds from impact. It’s not a miracle worker, though. It can wait to give you a warning that you can’t fix. Imagine flying toward a 10,000’ high cliff at 1,000’. A 60 second warning will not be enough time to climb 9,000’ & clear it. Or, it sees a mountain to your right, but your current path is clear. It doesn’t know you’ll do a 90° right turn once abeam the mountain. Now you’ll get some late warnings. EGPWS has various other functions. If you get on the approach but haven’t configured to land, it will say “TOO LOW, FLAPS” (or GEAR). If you start getting below the glidepath, it will say “GLIDESLOPE”. Start descending right after takeoff? “DON’T SINK”…and if you do keep sinking, it switches to “PULL UP!” Now, EGPWS doesn’t use the onboard Doppler radar for any of these functions, but it does use it to detect windshear. EGPWS doesn’t care if you turn on the radar or not, it turns it on itself when you push the throttles up for takeoff or when you descend below a certain altitude on approach. It takes about 12 seconds for the radar to build a picture from that point, but once it does, it can “see” windshear. The Doppler detects this by bouncing radar off of particulates & reading how they are moving at different altitudes. The particulates can be dust or just humidity…the radar can’t read air molecules by themselves. So, it’s still possible to get windshear the radar doesn’t see on very dry, clean days. EGPWS hates windshear. If it detects it, EGPWS replaces your screen w/ the radar – even if not turned on by you – & starts with a gentle warning to “MONITOR RADAR DISPLAY”. If you get closer to it, you get “WINDSHEAR AHEAD” (on takeoff – abort if you still can) or “GO AROUND, WINDSHEAR AHEAD!” (on landing). EGPWS is great, but can’t actually move the jet. It’s not connected to the controls in any way. Some fighters do have that capability, but not airliners. The pilots have to fix it. OK, that’s a brief summary of EGPWS. As usual, I’m dramatically simplifying things for a non-techie audience…there is much more to it & different models of jets have slight differences in how this all works. The 737 MAX has some improvements, w/ different voices & even panic, but I don’t have one to record, sorry!

KC-10 Driver ✈️ 👨‍✈️ B-737 Wrangler

36,492 просмотров • 2 месяцев назад