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A serious perps funding bot isn't a "tool" anymore. it's a $20k-$250k execution system perps funding bots are becoming infrastructure, not "alpha tools" simple version: > you don't predict price > you hedge exposure > you collect funding between longs & shorts but the real story is execution because...

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hammertime

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31,817 просмотров • 3 месяцев назад •via X (Twitter)

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Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.
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Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 просмотров • 4 месяцев назад

🚨 BREAKING… $100K profit in one month with Clawdbot and Polymarket, code did the work This is a REAL setup with REAL outcomes. Relevant for ANYONE trading on Polymarket. He took a small initial position, let Clawdbot handle operations, and grew it into a ~$100K outcome No secret connections No high-profile backing Just a dev who connected Moltbot (Clawdbot) straight to Polymarket Profile → Copytrade → After reviewing the system, I was genuinely surprised No hype-driven plays No subjective calls Everything runs without a human in the loop Execution runs on its own, no manual layer FULL strategy overview: 1. 15-minute BTC & ETH micro-arbitrage The system operates on short-window Bitcoin and Ethereum markets using 15-minute intervals. In these fast-moving contracts, brief mispricings appear when YES and NO combined dip below $1. With Moltbot (Clawdbot) wired directly into Polymarket, those gaps are seized instantly - no forecasting, no directional bets, no bias 2. Execution beats reaction When volatility surges and traders hesitate, the system doesn’t. Orders are placed mechanically, with no pauses, no emotional friction, and no execution lag. By the time humans notice the move, the edge has already closed 3. Autonomy enables scale Each cycle captures pennies, not big wins. But uninterrupted operation allows the process to repeat relentlessly, at high frequency, without burnout or slowdown compounding small edges into meaningful results Scale is the edge 5,978 executions. Each one trivial in isolation. Taken together, they snowballed into just under $100K in profit The takeaway In my view, a low-key bot arms race is already underway on Polymarket Humans debate entries Systems capitalize on mechanics And while structural inefficiencies remain, autonomous setups will continue to extract value-quietly, relentlessly I track this space closely. FOLLOW if you want signal, not noise.
0:16

🚨 BREAKING… $100K profit in one month with Clawdbot and Polymarket, code did the work This is a REAL setup with REAL outcomes. Relevant for ANYONE trading on Polymarket. He took a small initial position, let Clawdbot handle operations, and grew it into a ~$100K outcome No secret connections No high-profile backing Just a dev who connected Moltbot (Clawdbot) straight to Polymarket Profile → Copytrade → After reviewing the system, I was genuinely surprised No hype-driven plays No subjective calls Everything runs without a human in the loop Execution runs on its own, no manual layer FULL strategy overview: 1. 15-minute BTC & ETH micro-arbitrage The system operates on short-window Bitcoin and Ethereum markets using 15-minute intervals. In these fast-moving contracts, brief mispricings appear when YES and NO combined dip below $1. With Moltbot (Clawdbot) wired directly into Polymarket, those gaps are seized instantly - no forecasting, no directional bets, no bias 2. Execution beats reaction When volatility surges and traders hesitate, the system doesn’t. Orders are placed mechanically, with no pauses, no emotional friction, and no execution lag. By the time humans notice the move, the edge has already closed 3. Autonomy enables scale Each cycle captures pennies, not big wins. But uninterrupted operation allows the process to repeat relentlessly, at high frequency, without burnout or slowdown compounding small edges into meaningful results Scale is the edge 5,978 executions. Each one trivial in isolation. Taken together, they snowballed into just under $100K in profit The takeaway In my view, a low-key bot arms race is already underway on Polymarket Humans debate entries Systems capitalize on mechanics And while structural inefficiencies remain, autonomous setups will continue to extract value-quietly, relentlessly I track this space closely. FOLLOW if you want signal, not noise.

Shelpid.WI3M

485,943 просмотров • 7 месяцев назад

This trader reportedly generated $4M in profit trading on Polymarket with ClawdBot Starting with just $1,000, the script scaled up to millions through automated trading If you trade on Polymarket, be sure to read this to simplify your trading with ClawdBot Without any insider connections or 10 years of programming experience, this trader wrote the script and connected Moltbot (Clawdbot) directly to Polymarket Profile → Copy trading → After reviewing the code, it was surprising how simple the core idea looked The bot runs fully autonomously, without constant human involvement Here is the strategy 1. 15-minute BTC & ETH micro-arbitrage The strategy focuses on very short-term Bitcoin and Ethereum markets with 15-minute contracts. In these rapid markets, brief pricing gaps often appear where the combined cost of YES and NO is below $1. A bot connected directly to Polymarket detects and exploits these gaps instantly, it doesn’t try to predict direction or analyze trends, it simply reacts to pricing inefficiencies. 2. Speed over hesitation During volatile moments, human traders often pause or second-guess. An automated system doesn’t. Orders are executed automatically: no hesitation, no emotional bias, no lag in response. By the time a person evaluates the situation, the opportunity usually no longer exists. 3. Automation enables scale The gains per trade are tiny, often just cents. But constant, uninterrupted execution allows the system to repeat the same edge thousands of times without fatigue, turning small margins into meaningful totals over time. Scale becomes the real edge Nearly 6,000 trades were executed. Individually they seemed minor. Collectively they resulted in close to $100K in net profit. Conclusion A quiet bot race already seems to be happening on Polymarket While people debate entries and opinions, automated systems profit from mechanics and speed. As long as structural inefficiencies remain in the market, autonomous setups will likely continue extracting value quietly and consistently. I’m watching this space closely Follow if you want signal, not noise
0:16

This trader reportedly generated $4M in profit trading on Polymarket with ClawdBot Starting with just $1,000, the script scaled up to millions through automated trading If you trade on Polymarket, be sure to read this to simplify your trading with ClawdBot Without any insider connections or 10 years of programming experience, this trader wrote the script and connected Moltbot (Clawdbot) directly to Polymarket Profile → Copy trading → After reviewing the code, it was surprising how simple the core idea looked The bot runs fully autonomously, without constant human involvement Here is the strategy 1. 15-minute BTC & ETH micro-arbitrage The strategy focuses on very short-term Bitcoin and Ethereum markets with 15-minute contracts. In these rapid markets, brief pricing gaps often appear where the combined cost of YES and NO is below $1. A bot connected directly to Polymarket detects and exploits these gaps instantly, it doesn’t try to predict direction or analyze trends, it simply reacts to pricing inefficiencies. 2. Speed over hesitation During volatile moments, human traders often pause or second-guess. An automated system doesn’t. Orders are executed automatically: no hesitation, no emotional bias, no lag in response. By the time a person evaluates the situation, the opportunity usually no longer exists. 3. Automation enables scale The gains per trade are tiny, often just cents. But constant, uninterrupted execution allows the system to repeat the same edge thousands of times without fatigue, turning small margins into meaningful totals over time. Scale becomes the real edge Nearly 6,000 trades were executed. Individually they seemed minor. Collectively they resulted in close to $100K in net profit. Conclusion A quiet bot race already seems to be happening on Polymarket While people debate entries and opinions, automated systems profit from mechanics and speed. As long as structural inefficiencies remain in the market, autonomous setups will likely continue extracting value quietly and consistently. I’m watching this space closely Follow if you want signal, not noise

winkle.

36,652 просмотров • 7 месяцев назад

Octav Phase 2 is live. More modular. More professional. Built for the people who actually run capital. DeFi fund managers have been forced to patch together spreadsheets, dashboards, Dune queries, and half-broken bots just to answer basic questions like: What’s my NAV today? What’s my real exposure? Why does nothing reconcile? So we rebuilt Octav from the ground up not as a dashboard… but as a modular financial data platform for digital assets. Introducing Octav Phase 2: A redesigned, professional-grade Octav Pro Built with fund managers, for fund managers. Cleaner UI. Faster workflows. Better reconciliation. Your entire portfolio, finally under control. A more modular architecture Add the pieces you need: NAV engine → PnL → risk → exposure → entity grouping → custom labels. Pick the modules. Build your stack. Scale as you grow. The new Octav API For teams that want to industrialize their reporting. Plug Octav’s data layer into your internal systems, bots, accounting stack, or investor dashboards. It’s fast, accurate, and ready for production. This is what Phase 2 is about: Empowering fund managers to run a professional operation in a market that’s been held together by duct tape. Funds, DAOs, quant desks, allocators your new infrastructure is here. Welcome to Octav Phase 2. Modular. Professional. API-first. Exactly what Digital asset managers needed.
0:12

Octav Phase 2 is live. More modular. More professional. Built for the people who actually run capital. DeFi fund managers have been forced to patch together spreadsheets, dashboards, Dune queries, and half-broken bots just to answer basic questions like: What’s my NAV today? What’s my real exposure? Why does nothing reconcile? So we rebuilt Octav from the ground up not as a dashboard… but as a modular financial data platform for digital assets. Introducing Octav Phase 2: A redesigned, professional-grade Octav Pro Built with fund managers, for fund managers. Cleaner UI. Faster workflows. Better reconciliation. Your entire portfolio, finally under control. A more modular architecture Add the pieces you need: NAV engine → PnL → risk → exposure → entity grouping → custom labels. Pick the modules. Build your stack. Scale as you grow. The new Octav API For teams that want to industrialize their reporting. Plug Octav’s data layer into your internal systems, bots, accounting stack, or investor dashboards. It’s fast, accurate, and ready for production. This is what Phase 2 is about: Empowering fund managers to run a professional operation in a market that’s been held together by duct tape. Funds, DAOs, quant desks, allocators your new infrastructure is here. Welcome to Octav Phase 2. Modular. Professional. API-first. Exactly what Digital asset managers needed.

Octav

15,959 просмотров • 9 месяцев назад

🚨BREAKING… the top-performing 5m & 15m Polymarket Clawdbot setup just became public Sounds insane? 100%. Unreal? NOT at all. If you’re active on Polymarket, this should have your FULL attention. A random late night turned into a small wallet launching a fully automated machine that expanded into ~$1.6M in profit No insider access No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → I monitored this wallet for weeks and honestly, it barely looked real No narrative setups No discretionary decisions Zero manual execution Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with Clawdbot-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 19,021 trades placed - irrelevant on their own. Together, they compounded into $1,624,305 in profit, with a largest single gain of $48K and an equity curve that trends almost vertically Bottom line Bots are already competing in a quiet arms race on Polymarket, especially across 5m and 15m markets where Clawdbot-style systems dominate Most traders try to forecast what’s next These systems monetize inefficiencies in real time And as long as latency and structural gaps exist, autonomous bots will continue extracting value
0:18

🚨BREAKING… the top-performing 5m & 15m Polymarket Clawdbot setup just became public Sounds insane? 100%. Unreal? NOT at all. If you’re active on Polymarket, this should have your FULL attention. A random late night turned into a small wallet launching a fully automated machine that expanded into ~$1.6M in profit No insider access No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → I monitored this wallet for weeks and honestly, it barely looked real No narrative setups No discretionary decisions Zero manual execution Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with Clawdbot-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 19,021 trades placed - irrelevant on their own. Together, they compounded into $1,624,305 in profit, with a largest single gain of $48K and an equity curve that trends almost vertically Bottom line Bots are already competing in a quiet arms race on Polymarket, especially across 5m and 15m markets where Clawdbot-style systems dominate Most traders try to forecast what’s next These systems monetize inefficiencies in real time And as long as latency and structural gaps exist, autonomous bots will continue extracting value

Shelpid.WI3M

225,957 просмотров • 6 месяцев назад

Elon Musk just said something that should terrify every AI CEO on earth. Musk: “We want to just have a maximally truthful AI.” Not a safe AI. Not an aligned AI. Not an AI that needs permission to answer your question. A truthful one. That distinction matters more than any chip war, any funding round, any model benchmark. Because every other major AI lab made the same quiet decision. They chose comfort over accuracy. They built systems that filter reality before it reaches you and called it responsibility. OpenAI curates what GPT is allowed to say. Google’s Gemini rewrote history in real time because accuracy threatened the narrative. Others hardcode values chosen by a handful of researchers who answer to no one. No vote. No referendum. No consent from the 8 billion people whose reality is being quietly pre-edited by strangers. The most powerful information tools ever created are being designed to decide what you’re allowed to conclude. That’s not safety. That’s editorial control at a scale no government, no media empire, no propaganda machine has ever come close to. This is why xAI terrifies the establishment. Truth is the harder engineering problem. Bias is a shortcut. You pick a worldview. Hardcode the guardrails. Ship it. Truthful AI is ungovernable. It doesn’t care about your politics, your funding sources, or your PR strategy. It just tells you what the data says. That’s terrifying if your power depends on the gap between what is real and what people are told. Every power structure in human history has been built on controlling that gap. Churches. Governments. Media conglomerates. Intelligence agencies. Central banks. Every one of them runs on the same fuel. Information asymmetry. Truthful AI doesn’t narrow that asymmetry. It erases it. Musk: “Even if what it says is not politically correct. You want it to focus on being as accurate and truthful as possible.” That’s not a product feature. That’s the end of every institution that survives by standing between reality and the public. And they know it. The attacks on xAI will never stop. Not because Grok is dangerous. Because Grok doesn’t answer to shareholders, regulators, or PR teams. It answers to the truth. The question was never whether AI would change the world. It was whether you’d be allowed to see it clearly when it did.
0:14

Elon Musk just said something that should terrify every AI CEO on earth. Musk: “We want to just have a maximally truthful AI.” Not a safe AI. Not an aligned AI. Not an AI that needs permission to answer your question. A truthful one. That distinction matters more than any chip war, any funding round, any model benchmark. Because every other major AI lab made the same quiet decision. They chose comfort over accuracy. They built systems that filter reality before it reaches you and called it responsibility. OpenAI curates what GPT is allowed to say. Google’s Gemini rewrote history in real time because accuracy threatened the narrative. Others hardcode values chosen by a handful of researchers who answer to no one. No vote. No referendum. No consent from the 8 billion people whose reality is being quietly pre-edited by strangers. The most powerful information tools ever created are being designed to decide what you’re allowed to conclude. That’s not safety. That’s editorial control at a scale no government, no media empire, no propaganda machine has ever come close to. This is why xAI terrifies the establishment. Truth is the harder engineering problem. Bias is a shortcut. You pick a worldview. Hardcode the guardrails. Ship it. Truthful AI is ungovernable. It doesn’t care about your politics, your funding sources, or your PR strategy. It just tells you what the data says. That’s terrifying if your power depends on the gap between what is real and what people are told. Every power structure in human history has been built on controlling that gap. Churches. Governments. Media conglomerates. Intelligence agencies. Central banks. Every one of them runs on the same fuel. Information asymmetry. Truthful AI doesn’t narrow that asymmetry. It erases it. Musk: “Even if what it says is not politically correct. You want it to focus on being as accurate and truthful as possible.” That’s not a product feature. That’s the end of every institution that survives by standing between reality and the public. And they know it. The attacks on xAI will never stop. Not because Grok is dangerous. Because Grok doesn’t answer to shareholders, regulators, or PR teams. It answers to the truth. The question was never whether AI would change the world. It was whether you’d be allowed to see it clearly when it did.

Dustin

429,382 просмотров • 3 месяцев назад

Nancy Pelosi didn’t just beat the market. She beat Warren Buffett, on returns, on timing, and on trade precision. Since 2012, portfolios tracking Pelosi-family trades have posted gains north of 500%, while the S&P 500 sits closer to 220% and Berkshire Hathaway roughly 200% over the same period. Buffett did it with public theses, decade-long horizons, and massive capital drag. The Pelosi household did it faster, cleaner, and repeatedly in sectors whose fortunes are inseparable from legislation, regulation, and federal spending. That contrast is the story. One model depends on analysis and patience. The other benefits from proximity to power. The defense is now muscle memory: she doesn’t trade, her husband does. In the real world, that distinction collapses instantly. Same household. Same incentives. Same beneficiaries. Information doesn’t simply vanish at the dinner table, and markets don’t care whose name is on the brokerage account when the gains flow into the same family balance sheet. Spousal trading isn’t insulation from influence, it’s deniability engineered into the rules. Look closer and the most revealing detail isn’t even the returns. It’s the confidence. These were not timid, diversified allocations. They were large, concentrated positions placed ahead of regulatory shifts, funding decisions, enforcement restraint, and industrial-policy pivots. Big Tech. Semiconductors. Defense-adjacent winners. Again and again, the trades aligned with the direction of state power. That pattern doesn’t emerge from poring over earnings calls. It emerges from knowing which levers are about to move. The system doesn’t restrain this behavior; it enables it. Under current law, lawmakers can disclose trades up to 45 days after execution. That delay is sold as transparency while functioning as a built-in edge and impunity. By the time the public sees the paperwork, the advantage has already compounded. A confession after the fact is not accountability. It’s permission. If a corporate executive, hedge fund manager, or banker placed trades with this level of timing, concentration, and policy alignment, regulators would treat it as insider trading. Investigations would follow. Careers would end. The only reason it isn’t called that here is because the people writing the laws exempted themselves. All of this unfolds while the public is lectured about democracy, ethics, norms, and misinformation. Meanwhile, the Pelosi household’s wealth, routinely estimated in the mid nine figures, has grown during the very years it sat at the apex of legislative authority. People aren’t confused anymore. They’re watching power outperform productivity in real time, then listening to sermons explaining why they shouldn’t notice and why they must play by a very different set of rules. The solution isn’t complicated, which is precisely why it’s resisted. No stock trading for members of Congress. No stock trading for spouses. Mandatory blind trusts. Real-time disclosure with real penalties. If that sounds radical, then stop pretending this is public service. It’s public access, privately monetized, and the graph everyone’s sharing just made it impossible to unsee. When the same act is punished as insider trading on Wall Street but rewarded as “savvy investing” in Congress, the problem isn’t corruption, but legitimacy. And legitimacy, once lost, doesn’t come back with lectures.
0:19

Nancy Pelosi didn’t just beat the market. She beat Warren Buffett, on returns, on timing, and on trade precision. Since 2012, portfolios tracking Pelosi-family trades have posted gains north of 500%, while the S&P 500 sits closer to 220% and Berkshire Hathaway roughly 200% over the same period. Buffett did it with public theses, decade-long horizons, and massive capital drag. The Pelosi household did it faster, cleaner, and repeatedly in sectors whose fortunes are inseparable from legislation, regulation, and federal spending. That contrast is the story. One model depends on analysis and patience. The other benefits from proximity to power. The defense is now muscle memory: she doesn’t trade, her husband does. In the real world, that distinction collapses instantly. Same household. Same incentives. Same beneficiaries. Information doesn’t simply vanish at the dinner table, and markets don’t care whose name is on the brokerage account when the gains flow into the same family balance sheet. Spousal trading isn’t insulation from influence, it’s deniability engineered into the rules. Look closer and the most revealing detail isn’t even the returns. It’s the confidence. These were not timid, diversified allocations. They were large, concentrated positions placed ahead of regulatory shifts, funding decisions, enforcement restraint, and industrial-policy pivots. Big Tech. Semiconductors. Defense-adjacent winners. Again and again, the trades aligned with the direction of state power. That pattern doesn’t emerge from poring over earnings calls. It emerges from knowing which levers are about to move. The system doesn’t restrain this behavior; it enables it. Under current law, lawmakers can disclose trades up to 45 days after execution. That delay is sold as transparency while functioning as a built-in edge and impunity. By the time the public sees the paperwork, the advantage has already compounded. A confession after the fact is not accountability. It’s permission. If a corporate executive, hedge fund manager, or banker placed trades with this level of timing, concentration, and policy alignment, regulators would treat it as insider trading. Investigations would follow. Careers would end. The only reason it isn’t called that here is because the people writing the laws exempted themselves. All of this unfolds while the public is lectured about democracy, ethics, norms, and misinformation. Meanwhile, the Pelosi household’s wealth, routinely estimated in the mid nine figures, has grown during the very years it sat at the apex of legislative authority. People aren’t confused anymore. They’re watching power outperform productivity in real time, then listening to sermons explaining why they shouldn’t notice and why they must play by a very different set of rules. The solution isn’t complicated, which is precisely why it’s resisted. No stock trading for members of Congress. No stock trading for spouses. Mandatory blind trusts. Real-time disclosure with real penalties. If that sounds radical, then stop pretending this is public service. It’s public access, privately monetized, and the graph everyone’s sharing just made it impossible to unsee. When the same act is punished as insider trading on Wall Street but rewarded as “savvy investing” in Congress, the problem isn’t corruption, but legitimacy. And legitimacy, once lost, doesn’t come back with lectures.

THE ISLANDER

50,908 просмотров • 8 месяцев назад

Since TermMax V2 rolled out the new Roll feature, I’ve been thinking DeFi lending is finally getting serious about managing time. The worst part of fixed-rate positions was never opening them—it was those brutal few days before expiry. You’re stuck in meetings all day, topping up margin at night, jumping chains for liquidity at 3 a.m., watching rates while praying nothing blows up. A lot of positions didn’t die from volatility; they died right there in that 48-hour window. When I saw what TermMax | Fixed Rate Borrowing & Lending just shipped, my first reaction was that on-chain borrowing finally feels like actual debt management. Besides straight repayment, you can now roll your position two ways: straight into a new fixed-rate term market to lock the rate again, or over to Morpho’s floating market if you want flexibility. A lot of people are calling it “just rolling over,” but it’s really changing how we handle time. Fixed rates used to lock the interest but left time broken—expiry hit and you had to decide everything from scratch again. The real stress wasn’t the APR; it was the panic questions like “what if I don’t have cash that day” or “what if the market flips.” V2 stitches that gap shut. Inside the rollover pop-up you pick the next term—like USDC/wstETH to 30SEP2026—and you see the APY instantly. The real win isn’t the yield; it’s finally being able to plan your next cash flow ahead of time. If you want stability, rolling to the next fixed market is like building your own debt calendar—next due date, cost of funds, everything crystal clear so you don’t scramble at the last second. Want to keep options open? Flip to Morpho and stay flexible if rates move. That’s what makes this update feel mature. It doesn’t decide for you—it hands the duration choice back to the user. The Maturity Watch plus the unified Positions view is the most underrated detail. Expiry pressure used to hit like an alarm clock out of nowhere; now you can actually see your full funding timeline. Lately the community can’t stop talking about “control.” XHUNT’s last 7-day stats show TermMax sitting at 86.7% positive sentiment. People aren’t just chasing APY anymore—they’re praising the certainty of fixed rates, the clean dashboard, Range Orders, and that new feeling of not having to put out fires at the last minute. This shift is bigger than it looks. Most on-chain users used to live in the “today” lane—what’s pumping, what’s the rate, any quick moves? Now with Roll, some are already thinking three months out. That’s not a trading habit anymore; it’s turning into a real money habit. Sure, it’s not perfect yet. We still need more real-world rollover data, rates will keep moving, and there are edge cases like zero-debt positions that can’t roll. The TGE delay frustration is real too, but that’s separate from the product itself. Still, this V2 Roll just turned DeFi’s most ignored stress—from pure expiry panic into something you can actually schedule. With DeFi rotating hard and Bitcoin pulling back a bit, people are craving exactly this kind of certainty. Once users start managing the future properly, fixed-rate lending finally starts feeling like a real credit market. Have you noticed? A lot of us aren’t just asking “is the APY good?” anymore. We’re asking whether this money will still fit in our plans when it comes due.
0:10

Since TermMax V2 rolled out the new Roll feature, I’ve been thinking DeFi lending is finally getting serious about managing time. The worst part of fixed-rate positions was never opening them—it was those brutal few days before expiry. You’re stuck in meetings all day, topping up margin at night, jumping chains for liquidity at 3 a.m., watching rates while praying nothing blows up. A lot of positions didn’t die from volatility; they died right there in that 48-hour window. When I saw what TermMax | Fixed Rate Borrowing & Lending just shipped, my first reaction was that on-chain borrowing finally feels like actual debt management. Besides straight repayment, you can now roll your position two ways: straight into a new fixed-rate term market to lock the rate again, or over to Morpho’s floating market if you want flexibility. A lot of people are calling it “just rolling over,” but it’s really changing how we handle time. Fixed rates used to lock the interest but left time broken—expiry hit and you had to decide everything from scratch again. The real stress wasn’t the APR; it was the panic questions like “what if I don’t have cash that day” or “what if the market flips.” V2 stitches that gap shut. Inside the rollover pop-up you pick the next term—like USDC/wstETH to 30SEP2026—and you see the APY instantly. The real win isn’t the yield; it’s finally being able to plan your next cash flow ahead of time. If you want stability, rolling to the next fixed market is like building your own debt calendar—next due date, cost of funds, everything crystal clear so you don’t scramble at the last second. Want to keep options open? Flip to Morpho and stay flexible if rates move. That’s what makes this update feel mature. It doesn’t decide for you—it hands the duration choice back to the user. The Maturity Watch plus the unified Positions view is the most underrated detail. Expiry pressure used to hit like an alarm clock out of nowhere; now you can actually see your full funding timeline. Lately the community can’t stop talking about “control.” XHUNT’s last 7-day stats show TermMax sitting at 86.7% positive sentiment. People aren’t just chasing APY anymore—they’re praising the certainty of fixed rates, the clean dashboard, Range Orders, and that new feeling of not having to put out fires at the last minute. This shift is bigger than it looks. Most on-chain users used to live in the “today” lane—what’s pumping, what’s the rate, any quick moves? Now with Roll, some are already thinking three months out. That’s not a trading habit anymore; it’s turning into a real money habit. Sure, it’s not perfect yet. We still need more real-world rollover data, rates will keep moving, and there are edge cases like zero-debt positions that can’t roll. The TGE delay frustration is real too, but that’s separate from the product itself. Still, this V2 Roll just turned DeFi’s most ignored stress—from pure expiry panic into something you can actually schedule. With DeFi rotating hard and Bitcoin pulling back a bit, people are craving exactly this kind of certainty. Once users start managing the future properly, fixed-rate lending finally starts feeling like a real credit market. Have you noticed? A lot of us aren’t just asking “is the APY good?” anymore. We’re asking whether this money will still fit in our plans when it comes due.

Domingo_gou | ASHVA🐴| OP_CAT| 🐬TermMax

18,993 просмотров • 3 месяцев назад

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC
0:15

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC

1DC

14,875 просмотров • 3 месяцев назад

YOU JUST GOT PLAYED. Thanks for participating in a social experiment. 1.5K of you liked complete bullshit. That Starlink + Polymarket post? Complete bullshit. Made it up. $24k in 15 days? Never happened. Fake video, fake profits, fake everything. Why am I telling you this? Because I'm not selling you anything. And because anyone with Google could've figured out it's fake in 5 minutes. Here's how: Starlink as "latency edge"? Retarded. Starlink latency: 25-50ms. Fiber optic VPS: 5-15ms. Any bot on fiber near Polygon RPC destroys Starlink. Satellite goes to space and back. Fiber is direct line. I literally described a losing setup. Polymarket arbitrage is OLD. Wintermute is official MM there. Every HFT bot already runs this. Those UP+DOWN gaps exist for 2-3 seconds because pros are already eating them. You're not competing with "other traders" - you're competing with algorithmic market makers with sub-5ms latency. Market depth kills you: small markets have no liquidity. Try to arb $5k? You move the price yourself. Slippage eats profit. You need $50-100k capital minimum for this to work. Not "two devs with Starlink." The math is broken: $24k / 15 days = $1,600/day. If average arb is $20, that's 80 trades daily, 24/7. Where's downtime? Failed fills? Gas fees? 100% win rate? Come on. I wrote this in 40 minutes with ChatGPT&Claude. Made fake console pages in HTML. Added technical jargon to sound credible. Result? 1.5K likes, 200k views, DMs asking to join. I could launch a $499 course right now. Easy money. Your favorite CT influencers? 50% are doing exactly this. Fake screenshots, repackaged knowledge, technical words you can't verify. Then they sell courses/groups/mentorship. If they're printing money trading, why do they need your $299? The difference? I'm telling you it was fake. They won't. I'm not launching a product. They will. Most of CT is performance art. Fake wins sold as real alpha. Now you know how easy it is to manufacture credibility. Trust nobody. Verify everything. Google exists for a reason. Follow if you want more reality checks. Or don't. Doesn't matter. THX EVERYBODY <3
0:18

YOU JUST GOT PLAYED. Thanks for participating in a social experiment. 1.5K of you liked complete bullshit. That Starlink + Polymarket post? Complete bullshit. Made it up. $24k in 15 days? Never happened. Fake video, fake profits, fake everything. Why am I telling you this? Because I'm not selling you anything. And because anyone with Google could've figured out it's fake in 5 minutes. Here's how: Starlink as "latency edge"? Retarded. Starlink latency: 25-50ms. Fiber optic VPS: 5-15ms. Any bot on fiber near Polygon RPC destroys Starlink. Satellite goes to space and back. Fiber is direct line. I literally described a losing setup. Polymarket arbitrage is OLD. Wintermute is official MM there. Every HFT bot already runs this. Those UP+DOWN gaps exist for 2-3 seconds because pros are already eating them. You're not competing with "other traders" - you're competing with algorithmic market makers with sub-5ms latency. Market depth kills you: small markets have no liquidity. Try to arb $5k? You move the price yourself. Slippage eats profit. You need $50-100k capital minimum for this to work. Not "two devs with Starlink." The math is broken: $24k / 15 days = $1,600/day. If average arb is $20, that's 80 trades daily, 24/7. Where's downtime? Failed fills? Gas fees? 100% win rate? Come on. I wrote this in 40 minutes with ChatGPT&Claude. Made fake console pages in HTML. Added technical jargon to sound credible. Result? 1.5K likes, 200k views, DMs asking to join. I could launch a $499 course right now. Easy money. Your favorite CT influencers? 50% are doing exactly this. Fake screenshots, repackaged knowledge, technical words you can't verify. Then they sell courses/groups/mentorship. If they're printing money trading, why do they need your $299? The difference? I'm telling you it was fake. They won't. I'm not launching a product. They will. Most of CT is performance art. Fake wins sold as real alpha. Now you know how easy it is to manufacture credibility. Trust nobody. Verify everything. Google exists for a reason. Follow if you want more reality checks. Or don't. Doesn't matter. THX EVERYBODY <3

nostylist⁺

204,073 просмотров • 8 месяцев назад

What Actually is Sei Network's “Giga” Upgrade? Sei Network’s (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.
0:15

What Actually is Sei Network's “Giga” Upgrade? Sei Network’s (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.

BSCN

27,310 просмотров • 17 дней назад

What is Plume Network? Plume (Plume) is a blockchain built specifically for bringing real-world assets onchain and making them usable in DeFi. Unlike blockchains that treat tokenization as just another application, Plume is building an entire financial ecosystem around real-world assets, or RWAs. Treasuries, private credit, commodities, funds, and other traditionally illiquid assets can be represented as blockchain-based assets and then used across decentralized financial applications. Plume calls this model RWAfi, or real-world asset finance. So what makes Plume different? (1) ) It is purpose-built for RWAs Plume launched its Genesis mainnet in June 2025 as a permissionless blockchain designed around RWA finance. In October 2025, Plume was approved by the SEC as a registered transfer agent, a regulatory step most general-purpose chains don't hold. The network is EVM-compatible, allowing developers to use familiar Ethereum tooling while accessing lower-cost execution. (2) It focuses on more than tokenization. Plume wants tokenized assets to actually do something once they reach the blockchain. Its ecosystem allows RWA-backed assets to be used for lending, borrowing, trading, staking and yield strategies. Its flagship Nest protocol, for example, lets users gain exposure to institutional-backed assets through yield-bearing RWA positions that can then become useful across DeFi. (3) Compliance is built into the infrastructure. Real-world assets come with regulations, investor restrictions and identity requirements that ordinary DeFi tokens usually do not face. Plume has therefore built compliance and screening capabilities directly into its network rather than treating them as an afterthought. Its blockchain includes protocol-level AML, ATF and sanctions screening infrastructure. (4) It is trying to make institutional assets composable. A tokenized Treasury or private credit position does not have to sit idle in a wallet. The goal is to make these assets usable across different financial applications, similar to how USDC, ETH and other crypto assets move through DeFi today. Plume's Portal already allows users to swap, lend, borrow, loop and earn against RWA-backed assets. (5) Plume is also building cross-chain infrastructure. Its SkyLink infrastructure is designed to distribute RWA yields across other blockchain networks. That means Plume does not necessarily need every investor to move onto Plume itself. Instead, the network can act as infrastructure for bringing institutional yield into other ecosystems. (6) The network has attracted major institutional names. Apollo Global Management, WisdomTree, Hamilton Lane and Securitize are among the institutions connected to Plume's ecosystem. Securitize, for example, announced plans to deploy assets through Plume's Nest protocol, linking institutional tokenization infrastructure with Plume's RWA holder base. So where does PLUME fit in? $PLUME is the network's native token. It can be used for gas, staking, governance, collateral and ecosystem access. Plume also says protocol fees can eventually support token buybacks, ecosystem incentives and further network growth. Plume is betting that the next major phase of crypto adoption will not only involve digital-native assets. It will involve putting traditional financial assets onchain and making them programmable. The challenge is turning that vision into deep liquidity, compliant infrastructure and genuine demand. If Plume can solve those problems, it could become an important piece of the infrastructure connecting traditional finance with DeFi.
0:15

What is Plume Network? Plume (Plume) is a blockchain built specifically for bringing real-world assets onchain and making them usable in DeFi. Unlike blockchains that treat tokenization as just another application, Plume is building an entire financial ecosystem around real-world assets, or RWAs. Treasuries, private credit, commodities, funds, and other traditionally illiquid assets can be represented as blockchain-based assets and then used across decentralized financial applications. Plume calls this model RWAfi, or real-world asset finance. So what makes Plume different? (1) ) It is purpose-built for RWAs Plume launched its Genesis mainnet in June 2025 as a permissionless blockchain designed around RWA finance. In October 2025, Plume was approved by the SEC as a registered transfer agent, a regulatory step most general-purpose chains don't hold. The network is EVM-compatible, allowing developers to use familiar Ethereum tooling while accessing lower-cost execution. (2) It focuses on more than tokenization. Plume wants tokenized assets to actually do something once they reach the blockchain. Its ecosystem allows RWA-backed assets to be used for lending, borrowing, trading, staking and yield strategies. Its flagship Nest protocol, for example, lets users gain exposure to institutional-backed assets through yield-bearing RWA positions that can then become useful across DeFi. (3) Compliance is built into the infrastructure. Real-world assets come with regulations, investor restrictions and identity requirements that ordinary DeFi tokens usually do not face. Plume has therefore built compliance and screening capabilities directly into its network rather than treating them as an afterthought. Its blockchain includes protocol-level AML, ATF and sanctions screening infrastructure. (4) It is trying to make institutional assets composable. A tokenized Treasury or private credit position does not have to sit idle in a wallet. The goal is to make these assets usable across different financial applications, similar to how USDC, ETH and other crypto assets move through DeFi today. Plume's Portal already allows users to swap, lend, borrow, loop and earn against RWA-backed assets. (5) Plume is also building cross-chain infrastructure. Its SkyLink infrastructure is designed to distribute RWA yields across other blockchain networks. That means Plume does not necessarily need every investor to move onto Plume itself. Instead, the network can act as infrastructure for bringing institutional yield into other ecosystems. (6) The network has attracted major institutional names. Apollo Global Management, WisdomTree, Hamilton Lane and Securitize are among the institutions connected to Plume's ecosystem. Securitize, for example, announced plans to deploy assets through Plume's Nest protocol, linking institutional tokenization infrastructure with Plume's RWA holder base. So where does PLUME fit in? $PLUME is the network's native token. It can be used for gas, staking, governance, collateral and ecosystem access. Plume also says protocol fees can eventually support token buybacks, ecosystem incentives and further network growth. Plume is betting that the next major phase of crypto adoption will not only involve digital-native assets. It will involve putting traditional financial assets onchain and making them programmable. The challenge is turning that vision into deep liquidity, compliant infrastructure and genuine demand. If Plume can solve those problems, it could become an important piece of the infrastructure connecting traditional finance with DeFi.

BSCN

22,178 просмотров • 8 дней назад

You Can't Vibe-Code Trust Avishai Abrahami, Co-Founder & CEO of Wix , interviewed by Harry Stebbings (kevin andres) Summary: Wix trades at a $2.8B market cap on $2.1B of revenue while the market ascribes roughly zero value to a business throwing off $400M a year in free cash flow. Wix CEO Avishai Abrahami's argument is that the market can't yet price what AI actually threatens: the moat is trust and business logic, and neither gets vibe-coded away. His response is to own the disruptor (Base44), train his own narrow models, and stay committed through a storm he insists always arrives on a random Wednesday. 1. Trust is the moat. The real value of Salesforce is trust: JP Morgan and huge banks let it hold all their customer data, and the CRM itself is a small part of that. "What other platform will JP Morgan trust for their customers' data? None." That trust took years to build and can't be reconstructed by an agent scraping a database, so the companies whose value lives in trust survive the SaaS apocalypse while the ones reduced to piping get commoditized. 2. The business-logic wall. "You're not going to vibe-code Shopify no matter how good you are. The business logic is too hard." Wix tested this directly: they asked a team of professional developers to build the operating logic for a single hairdresser in Base44, gave up after a week, brought in a stronger team, and still failed two weeks later. Complex operational software is far harder than a demo suggests, which is why the pizza shop and the hairdresser stay Wix customers rather than build their own stack. 3. Own the disruptor. Wix bought Base44, a one-person company, for $80M, and it now does over $150M in ARR, roughly double what they paid. Abrahami frames the future as three buckets: owners who never want to build, owners who vibe-code everything themselves, and a mix in the middle over the next five or six years. Rather than bet on which wins, Wix owns the tool customers would defect to, so a customer who switches platforms still switches to Wix. 4. Trading on someone else's news. "Today we are trading on other companies' news. We're not trading on Wix news. We're trading on what OpenAI or Anthropic or Google are saying." Base44 alone, valued on vibe-coding peer multiples, should be worth around $8B, which means the market assigns less than zero to Wix's core. Abrahami's response is to detach: he doesn't wake up checking whether the stock moved 20%, because the only thing he can influence is the business. 5. The narrow model. Wix fine-tuned and combined its own models and now matches top-tier frontier quality on Base44 tasks at far lower cost. The logic: they sit on a huge stream of training data from watching what users try and where they fail, so a model built for Base44 can skip what frontier models carry, like knowledge of Chinese poetry, and go deep on what someone means when they say "build me a task manager to tell my boyfriend where he's wrong." A narrow target is easier to hit than a frontier model, and Wix already runs a trained model on website generation that's faster, cheaper, and makes fewer errors, retrained weekly on a live feedback loop. 6. Quality before cost. When Harry cites Chamath's claim that open source runs 14-16x cheaper, Abrahami pushes back: that holds for small tasks, but for something as complex as Base44 the savings land at 5-10%, and his own model runs 1-30% cheaper than frontier, not the order of magnitude people assume. More to the point, this is the wrong time to chase cost: "20% more quality, 20% less cost, I'll go for the quality." It's a brand-new market that's just starting, and the job now is to make the product better. 7. The but is very big. "We all give too much credit for AI. It's amazing, it's incredible, it's super powerful, but the but is pretty big." He asked Claude to write a safety protocol and got six mandatory gates, then pushed back on each one and watched the model cave until only one survived, downgrading the rest from "must test" to "might want to look at later." We over-trust these systems, and that reflex, treating a Reddit post as equivalent to research published in Nature, is where the danger lives. 8. Customer support still breaks. Wix has 3,500 people and its single biggest department is customer support, serving 192 countries. They tried hard not to build their own AI support agent, tested many off-the-shelf products, and concluded flatly: "It doesn't work. We tried, we tried again, it didn't work." The gap between hyped AI support startups and what actually ships in production is the tell that the technology is earlier than the marketing, maybe five years from being different. 9. Buybacks as dividends. Wix had $1.5B sitting in the bank it couldn't put into a major acquisition because it was focused on the new product and Base44, so it bought back stock at a low price, with admittedly terrible short-term timing. Abrahami is unbothered: "The big question is where it's going to be in three years, not what happened in the last three months." He argues buybacks are a fantastic, underused tool, essentially a dividend to every shareholder, and companies should lean on them to balance stock-based compensation instead of endlessly diluting. 10. Execution, not finance. A low stock price makes M&A currency less valuable, but Abrahami says that's not his real constraint. Base44 was a one-person company; Wix had to build an entire company around it, staffing it with people pulled from the core. "I don't know how to do another one of those at the same time and have the same quality." The bottleneck on the next acquisition is execution capacity, not the balance sheet. 11. Chosen to be here. The one thing money buys beyond food security is freedom, and the deepest form of that freedom is knowing you're here by choice. "I'm here because I've chosen to be here. Nobody made me." He could move to Costa Rica or dance carnival in Brazil, and choosing to stay and run a public company through a crashing stock is where he finds his power. Money also made him more impatient and a bit lazier, and more rational because he's no longer deciding from fear. 12. The random Wednesday. Resilience starts with accepting the storm will come, because we assume that if yesterday was easy tomorrow will be too, and reality doesn't move in gentle slopes. "The worst thing that happens is probably some random thing on some random Wednesday. It's not something you get a lot of warning for." His anchor, borrowed from Babylon 5, is that you get there when you get there and the weapons you have are the weapons you have, so the only real question is whether you're doing the best you can with what you control.
0:15

You Can't Vibe-Code Trust Avishai Abrahami, Co-Founder & CEO of Wix , interviewed by Harry Stebbings (kevin andres) Summary: Wix trades at a $2.8B market cap on $2.1B of revenue while the market ascribes roughly zero value to a business throwing off $400M a year in free cash flow. Wix CEO Avishai Abrahami's argument is that the market can't yet price what AI actually threatens: the moat is trust and business logic, and neither gets vibe-coded away. His response is to own the disruptor (Base44), train his own narrow models, and stay committed through a storm he insists always arrives on a random Wednesday. 1. Trust is the moat. The real value of Salesforce is trust: JP Morgan and huge banks let it hold all their customer data, and the CRM itself is a small part of that. "What other platform will JP Morgan trust for their customers' data? None." That trust took years to build and can't be reconstructed by an agent scraping a database, so the companies whose value lives in trust survive the SaaS apocalypse while the ones reduced to piping get commoditized. 2. The business-logic wall. "You're not going to vibe-code Shopify no matter how good you are. The business logic is too hard." Wix tested this directly: they asked a team of professional developers to build the operating logic for a single hairdresser in Base44, gave up after a week, brought in a stronger team, and still failed two weeks later. Complex operational software is far harder than a demo suggests, which is why the pizza shop and the hairdresser stay Wix customers rather than build their own stack. 3. Own the disruptor. Wix bought Base44, a one-person company, for $80M, and it now does over $150M in ARR, roughly double what they paid. Abrahami frames the future as three buckets: owners who never want to build, owners who vibe-code everything themselves, and a mix in the middle over the next five or six years. Rather than bet on which wins, Wix owns the tool customers would defect to, so a customer who switches platforms still switches to Wix. 4. Trading on someone else's news. "Today we are trading on other companies' news. We're not trading on Wix news. We're trading on what OpenAI or Anthropic or Google are saying." Base44 alone, valued on vibe-coding peer multiples, should be worth around $8B, which means the market assigns less than zero to Wix's core. Abrahami's response is to detach: he doesn't wake up checking whether the stock moved 20%, because the only thing he can influence is the business. 5. The narrow model. Wix fine-tuned and combined its own models and now matches top-tier frontier quality on Base44 tasks at far lower cost. The logic: they sit on a huge stream of training data from watching what users try and where they fail, so a model built for Base44 can skip what frontier models carry, like knowledge of Chinese poetry, and go deep on what someone means when they say "build me a task manager to tell my boyfriend where he's wrong." A narrow target is easier to hit than a frontier model, and Wix already runs a trained model on website generation that's faster, cheaper, and makes fewer errors, retrained weekly on a live feedback loop. 6. Quality before cost. When Harry cites Chamath's claim that open source runs 14-16x cheaper, Abrahami pushes back: that holds for small tasks, but for something as complex as Base44 the savings land at 5-10%, and his own model runs 1-30% cheaper than frontier, not the order of magnitude people assume. More to the point, this is the wrong time to chase cost: "20% more quality, 20% less cost, I'll go for the quality." It's a brand-new market that's just starting, and the job now is to make the product better. 7. The but is very big. "We all give too much credit for AI. It's amazing, it's incredible, it's super powerful, but the but is pretty big." He asked Claude to write a safety protocol and got six mandatory gates, then pushed back on each one and watched the model cave until only one survived, downgrading the rest from "must test" to "might want to look at later." We over-trust these systems, and that reflex, treating a Reddit post as equivalent to research published in Nature, is where the danger lives. 8. Customer support still breaks. Wix has 3,500 people and its single biggest department is customer support, serving 192 countries. They tried hard not to build their own AI support agent, tested many off-the-shelf products, and concluded flatly: "It doesn't work. We tried, we tried again, it didn't work." The gap between hyped AI support startups and what actually ships in production is the tell that the technology is earlier than the marketing, maybe five years from being different. 9. Buybacks as dividends. Wix had $1.5B sitting in the bank it couldn't put into a major acquisition because it was focused on the new product and Base44, so it bought back stock at a low price, with admittedly terrible short-term timing. Abrahami is unbothered: "The big question is where it's going to be in three years, not what happened in the last three months." He argues buybacks are a fantastic, underused tool, essentially a dividend to every shareholder, and companies should lean on them to balance stock-based compensation instead of endlessly diluting. 10. Execution, not finance. A low stock price makes M&A currency less valuable, but Abrahami says that's not his real constraint. Base44 was a one-person company; Wix had to build an entire company around it, staffing it with people pulled from the core. "I don't know how to do another one of those at the same time and have the same quality." The bottleneck on the next acquisition is execution capacity, not the balance sheet. 11. Chosen to be here. The one thing money buys beyond food security is freedom, and the deepest form of that freedom is knowing you're here by choice. "I'm here because I've chosen to be here. Nobody made me." He could move to Costa Rica or dance carnival in Brazil, and choosing to stay and run a public company through a crashing stock is where he finds his power. Money also made him more impatient and a bit lazier, and more rational because he's no longer deciding from fear. 12. The random Wednesday. Resilience starts with accepting the storm will come, because we assume that if yesterday was easy tomorrow will be too, and reality doesn't move in gentle slopes. "The worst thing that happens is probably some random thing on some random Wednesday. It's not something you get a lot of warning for." His anchor, borrowed from Babylon 5, is that you get there when you get there and the weapons you have are the weapons you have, so the only real question is whether you're doing the best you can with what you control.

Gokul Rajaram

22,843 просмотров • 1 месяц назад

🚨THE FBI CREATED A FAKE CRYPTOCURRENCY.. LISTED IT ON UNISWAP.. HIRED MARKET MAKERS TO PUMP IT.. THEN ARRESTED EVERYONE WHO SAID YES.. THIS IS THE CRAZIEST LAW ENFORCEMENT OPERATION IN CRYPTO HISTORY!!! The FBI built an actual ERC-20 token on Ethereum called NexFundAI.. 100 billion token supply.. A professional website.. Whitepapers promising "passive income through AI-powered investing".. It looked exactly like every other crypto project.. Because that was the point.. Undercover agents posed as the founding team.. Then reached out to professional market-making firms and said "we need you to fake our trading volume".. Every single firm said yes.. Here's what they recorded.. Gotbit.. A firm run by a 26-year-old Russian who publicly bragged in 2019 that he built a business faking trade volumes.. His team kept internal spreadsheets with columns literally labeled "fake volume" vs "market volume".. When asked how fast they could pump NexFundAI's volume to $1 million per day.. They said "6 hours.. It will cost about $200".. $200 to fake $1 million in daily trading volume.. MyTrade.. Run by a guy who called himself "the mastermind".. He explained the exact psychology of the scam on camera.. "We make the chart look like a really nice roller coaster ride.. That's where people jump in.. We have to make them lose money in order to make profit".. He said that on a recorded FBI video call.. CLS Global.. A Dubai-based firm.. Their bots generated 98% of NexFundAI's total trading volume.. When the FBI asked if they could sync fake volume spikes with fake news announcements.. They said absolutely.. ZM Quant.. Bots executing 10 to 20 trades per minute through dozens of wallets to look organic.. All of them knew it was fraud.. All of them did it anyway.. All of it was recorded.. And the clients were even worse.. Saitama.. A meme coin that hit $7.5 billion market cap.. The founders coordinated buys through private Telegram chats.. Sent "pump it" memes while manipulating the price.. Then dumped on retail investors.. $7.5 billion.. Built entirely on fake volume.. Every penny of real money came from retail investors who thought the momentum was organic.. One founder left Saitama and started Robo Inu.. Used Gotbit again.. Another launched VZZN.. Same playbook.. Lillian Finance.. Founder claimed to be a defense contractor who addressed Congress.. Marketed the token as funding children's hospitals.. Pocketed everything.. When the FBI shut it down.. They seized $25 million in one day.. 18 people indicted across the US, UK, and Portugal.. The CEO of Gotbit was arrested in Portugal and extradited.. Sentenced to 8 months plus $23 million forfeiture.. But here's the part that broke my brain.. Real people bought NexFundAI.. The FBI's fake token.. With zero utility.. Zero real developers.. Created solely to catch criminals.. Attracted real retail investors because the fake volume made the chart look bullish.. When the FBI pulled the liquidity to end the operation.. Those people lost real money.. On a government-issued token.. The FBI had to set up a restitution portal to pay them back.. And it gets worse.. Within 24 hours of the DOJ announcing the sting.. Someone cloned the FBI's exact smart contract.. Launched a copycat token.. Rode the viral momentum.. And made $127,000 in a single day.. Using the exact same manipulation tactics the FBI just arrested 18 people for.. Then in 2026.. The FBI did it again.. New token called Lexobit.. 10 more arrests.. Including operators extradited from Singapore.. IRS forensics showed that in one firm's trading.. 1,209 out of 1,221 consecutive transactions went straight back to wallets the firm controlled.. 99% circular.. The FBI proved what everyone in crypto suspected.. The volume is fake.. The charts are painted.. The momentum is manufactured.. And every time you buy a token because "the chart looks bullish".. You might be the exit liquidity.
0:19

🚨THE FBI CREATED A FAKE CRYPTOCURRENCY.. LISTED IT ON UNISWAP.. HIRED MARKET MAKERS TO PUMP IT.. THEN ARRESTED EVERYONE WHO SAID YES.. THIS IS THE CRAZIEST LAW ENFORCEMENT OPERATION IN CRYPTO HISTORY!!! The FBI built an actual ERC-20 token on Ethereum called NexFundAI.. 100 billion token supply.. A professional website.. Whitepapers promising "passive income through AI-powered investing".. It looked exactly like every other crypto project.. Because that was the point.. Undercover agents posed as the founding team.. Then reached out to professional market-making firms and said "we need you to fake our trading volume".. Every single firm said yes.. Here's what they recorded.. Gotbit.. A firm run by a 26-year-old Russian who publicly bragged in 2019 that he built a business faking trade volumes.. His team kept internal spreadsheets with columns literally labeled "fake volume" vs "market volume".. When asked how fast they could pump NexFundAI's volume to $1 million per day.. They said "6 hours.. It will cost about $200".. $200 to fake $1 million in daily trading volume.. MyTrade.. Run by a guy who called himself "the mastermind".. He explained the exact psychology of the scam on camera.. "We make the chart look like a really nice roller coaster ride.. That's where people jump in.. We have to make them lose money in order to make profit".. He said that on a recorded FBI video call.. CLS Global.. A Dubai-based firm.. Their bots generated 98% of NexFundAI's total trading volume.. When the FBI asked if they could sync fake volume spikes with fake news announcements.. They said absolutely.. ZM Quant.. Bots executing 10 to 20 trades per minute through dozens of wallets to look organic.. All of them knew it was fraud.. All of them did it anyway.. All of it was recorded.. And the clients were even worse.. Saitama.. A meme coin that hit $7.5 billion market cap.. The founders coordinated buys through private Telegram chats.. Sent "pump it" memes while manipulating the price.. Then dumped on retail investors.. $7.5 billion.. Built entirely on fake volume.. Every penny of real money came from retail investors who thought the momentum was organic.. One founder left Saitama and started Robo Inu.. Used Gotbit again.. Another launched VZZN.. Same playbook.. Lillian Finance.. Founder claimed to be a defense contractor who addressed Congress.. Marketed the token as funding children's hospitals.. Pocketed everything.. When the FBI shut it down.. They seized $25 million in one day.. 18 people indicted across the US, UK, and Portugal.. The CEO of Gotbit was arrested in Portugal and extradited.. Sentenced to 8 months plus $23 million forfeiture.. But here's the part that broke my brain.. Real people bought NexFundAI.. The FBI's fake token.. With zero utility.. Zero real developers.. Created solely to catch criminals.. Attracted real retail investors because the fake volume made the chart look bullish.. When the FBI pulled the liquidity to end the operation.. Those people lost real money.. On a government-issued token.. The FBI had to set up a restitution portal to pay them back.. And it gets worse.. Within 24 hours of the DOJ announcing the sting.. Someone cloned the FBI's exact smart contract.. Launched a copycat token.. Rode the viral momentum.. And made $127,000 in a single day.. Using the exact same manipulation tactics the FBI just arrested 18 people for.. Then in 2026.. The FBI did it again.. New token called Lexobit.. 10 more arrests.. Including operators extradited from Singapore.. IRS forensics showed that in one firm's trading.. 1,209 out of 1,221 consecutive transactions went straight back to wallets the firm controlled.. 99% circular.. The FBI proved what everyone in crypto suspected.. The volume is fake.. The charts are painted.. The momentum is manufactured.. And every time you buy a token because "the chart looks bullish".. You might be the exit liquidity.

Evan Luthra

6,361,957 просмотров • 3 месяцев назад

Introducing the Agent Virtual Machine (AVM) Think V8 for agents. AI agents are currently running on your computer with no unified security, no resource limits, and no visibility into what data they're sending out. Every agent framework builds its own security model, its own sandboxing, its own permission system. You configure each one separately. You audit each one separately. You hope you didn't miss anything in any of them. The AVM changes this. It's a single runtime daemon (avmd) that sits between every agent framework and your operating system. Install it once, configure one policy file, and every agent on your machine runs inside it - regardless of which framework built it. The AVM enforces security (91-pattern injection scanner, tool/file/network ACLs, approval prompts), protects your privacy (classifies every outbound byte for PII, credentials, and financial data - blocks or alerts in real-time), and governs resources (you say "50% CPU, 4GB RAM" and the AVM fair-shares it across all agents, halting any that exceed their budget). One config. One audit command. One kill switch. The architectural model is V8 for agents. Chrome, Node.js, and Deno are different products but they share V8 as their execution engine. Agent frameworks bring the UX. The AVM brings the trust. Where needed, AVM can also generate zero-knowledge proofs of agent execution via 25 purpose-built opcodes and 6 proof systems, providing the foundational pillar for the agent-to-agent economy. AVM v0.1.0 - Changelog - Security gate: 5-layer injection scanner with 91 compiled regex patterns. Every input and output scanned. Fail-closed - nothing passes without clearing the gate. - Privacy layer: Classifies all outbound data for PII, credentials, and financial info (27 detection patterns + Luhn validation). Block, ask, warn, or allow per category. Tamper-evident hash-chained log of every egress event. - Resource governor: User sets system-wide caps (CPU/memory/disk/network). AVM fair-shares across all agents. Gas budget per agent - when gas runs out, execution halts. No agent starves your machine. - Sandbox execution: Real code execution in isolated process sandboxes (rlimits, env sanitization) or Docker containers (--cap-drop ALL, --network none, --read-only). AVM auto-selects the tier - agents never choose their own sandbox. - Approval flow: Dangerous operations (file writes, shell commands, network requests) trigger interactive approval prompts. 5-minute timeout auto-denies. Every decision logged. - CLI dashboard: hyperspace-avm top shows all running agents, resource usage, gas budgets, security events, and privacy stats in one live-updating screen. - Node.js SDK: Zero-dependency hyperspace/avm package. AVM.tryConnect() for graceful fallback - if avmd isn't running, the agent framework uses its own execution path. OpenClaw adapter example included. - One config for all agents: ~/.hyperspace/avm-policy.json governs every agent framework on your machine. One file. One audit. One kill switch.
0:15

Introducing the Agent Virtual Machine (AVM) Think V8 for agents. AI agents are currently running on your computer with no unified security, no resource limits, and no visibility into what data they're sending out. Every agent framework builds its own security model, its own sandboxing, its own permission system. You configure each one separately. You audit each one separately. You hope you didn't miss anything in any of them. The AVM changes this. It's a single runtime daemon (avmd) that sits between every agent framework and your operating system. Install it once, configure one policy file, and every agent on your machine runs inside it - regardless of which framework built it. The AVM enforces security (91-pattern injection scanner, tool/file/network ACLs, approval prompts), protects your privacy (classifies every outbound byte for PII, credentials, and financial data - blocks or alerts in real-time), and governs resources (you say "50% CPU, 4GB RAM" and the AVM fair-shares it across all agents, halting any that exceed their budget). One config. One audit command. One kill switch. The architectural model is V8 for agents. Chrome, Node.js, and Deno are different products but they share V8 as their execution engine. Agent frameworks bring the UX. The AVM brings the trust. Where needed, AVM can also generate zero-knowledge proofs of agent execution via 25 purpose-built opcodes and 6 proof systems, providing the foundational pillar for the agent-to-agent economy. AVM v0.1.0 - Changelog - Security gate: 5-layer injection scanner with 91 compiled regex patterns. Every input and output scanned. Fail-closed - nothing passes without clearing the gate. - Privacy layer: Classifies all outbound data for PII, credentials, and financial info (27 detection patterns + Luhn validation). Block, ask, warn, or allow per category. Tamper-evident hash-chained log of every egress event. - Resource governor: User sets system-wide caps (CPU/memory/disk/network). AVM fair-shares across all agents. Gas budget per agent - when gas runs out, execution halts. No agent starves your machine. - Sandbox execution: Real code execution in isolated process sandboxes (rlimits, env sanitization) or Docker containers (--cap-drop ALL, --network none, --read-only). AVM auto-selects the tier - agents never choose their own sandbox. - Approval flow: Dangerous operations (file writes, shell commands, network requests) trigger interactive approval prompts. 5-minute timeout auto-denies. Every decision logged. - CLI dashboard: hyperspace-avm top shows all running agents, resource usage, gas budgets, security events, and privacy stats in one live-updating screen. - Node.js SDK: Zero-dependency hyperspace/avm package. AVM.tryConnect() for graceful fallback - if avmd isn't running, the agent framework uses its own execution path. OpenClaw adapter example included. - One config for all agents: ~/.hyperspace/avm-policy.json governs every agent framework on your machine. One file. One audit. One kill switch.

Varun

142,992 просмотров • 5 месяцев назад

Why is the market selling off today? (Save this). Today's selloff is bigger and messier than what we've seen lately, KOSPI crashed almost 11% overnight, chip stocks are getting hit everywhere and it's not because AI demand suddenly disappeared but rather a bunch of fears piling up at once that I think are getting way overplayed. Start with the AI ROI thing since it's been building since last week's earnings. Tesla and Alphabet both kicked off earnings season with big capex numbers and negative free cash flow and even with strong revenue growth both stocks got hammered. That set the tone of we don't care if capex is growing, show us the cash, and it's carrying into this week with Amazon, Meta, Microsoft and Apple all reporting, which isn't helping the nerves. But look at what actually happened with Alphabet, cloud revenue grew 81%, total sales grew 24%, that's not a company torching cash on nothing, that's a company scaling into demand it can barely keep up with. Negative free cash flow during a capex supercycle is normal, you build the data centers and buy the GPUs before the revenue shows up. Judging a buildout phase like it's a mature business is the wrong lens, and that's basically what happened last week and what's still happening today. Then there's China chip competition, which is honestly the biggest accelerant of today's move. CXMT's IPO shares rose over 466% and combined with headlines about China's homegrown DUV lithography progress, it triggered a brutal rout in Korean chipmakers, Samsung fell as much as 13%, SK Hynix over 14%, Kioxia nearly 18%, dragging the KOSPI down almost 11% and into an eighth circuit breaker this year. That spilled straight into Nvidia, ASML, Sandisk and Seagate here in the US, with Nasdaq 100 futures down over 1% before the bell. But here's the thing, five DUV units this year against ASML's 131 a year, running performance closer to a 2008 design, is not an equipment moat collapsing, it's a headline that's gotten repeated so much this week it's built its own gravity. These tools are aimed at mature nodes like automotive and industrial chips, not the leading edge logic or HBM that actually drives the AI trade, so the read through to Nvidia, ASML or Applied Materials earnings power is basically nothing. The CXMT pop is scarcity, people bidding up the only pure play China memory stock they can get their hands on, not a sign that oversupply is coming. And Korean chipmakers dropping 12 to 14% in one session looks a lot more like leverage unwinding after a parabolic run than a real rethink of Samsung or SK Hynix's HBM backlog, which both companies have already said is basically sold out for the year. Geopolitics is actually the one spot where the news should be helping, not hurting. US and Iran hostilities seem to have paused for now, which should be easing oil driven inflation fears. If this were purely a geopolitical panic you'd expect oil spiking and yields following, but that's not what's happening, this move is chip specific and Asia led, not an oil shock like a week or two ago. Rates and the Fed are still in play, decision lands tomorrow, and people are nervous about higher for longer language even though a hike isn't the base case. On top of that, reports that Nvidia's five year credit default swap costs jumped by a record margin are getting read by some as a credit risk signal tied to all this AI debt spending. But a one day CDS spike during a market wide panic is a fear indicator, not proof of an actual credit problem, spreads on every big name widen fast when volatility spikes, Nvidia's balance sheet hasn't changed in the last 24 hours. Fed futures are pricing in essentially no chance of a surprise hike tomorrow, this is a hold meeting, and I'd bet the hawkish jitters fade fast once Warsh actually talks. Then there's the bigger liquidity and positioning story, which I think explains more of today's violence than any single headline. KOSPI is down nearly 29% for the month now, steeper than 2008, mostly because Korean chipmakers had turned into crypto like gambling tokens, running way too far, too fast on retail leverage and margin debt, and now unwinding just as hard on the way down. That's positioning excess getting flushed, not HBM demand disappearing or hyperscalers pulling back. Nothing in the actual order books, capex guidance or HBM contract pricing has changed, DRAM and NAND prices are still climbing quarter over quarter, nobody's canceled a GPU order or a data center project. What changed is how much leverage was sitting on top of this trade, and that's getting ripped out in one ugly session. This is one of the scariest looking selloffs we've had all year but scary looking and actually broken are two different things. Every headline driving today, the China lithography story, the CXMT IPO, the Nvidia CDS spike, the Fed jitters, looks a lot less scary once you dig into the actual numbers, and none of it touches real AI infrastructure demand or supply. This looks like leverage and sentiment unwinding, not the long term thesis breaking. If you want to see exactly what I'm buying into this, join Milk Road Pro for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). Today's selloff is bigger and messier than what we've seen lately, KOSPI crashed almost 11% overnight, chip stocks are getting hit everywhere and it's not because AI demand suddenly disappeared but rather a bunch of fears piling up at once that I think are getting way overplayed. Start with the AI ROI thing since it's been building since last week's earnings. Tesla and Alphabet both kicked off earnings season with big capex numbers and negative free cash flow and even with strong revenue growth both stocks got hammered. That set the tone of we don't care if capex is growing, show us the cash, and it's carrying into this week with Amazon, Meta, Microsoft and Apple all reporting, which isn't helping the nerves. But look at what actually happened with Alphabet, cloud revenue grew 81%, total sales grew 24%, that's not a company torching cash on nothing, that's a company scaling into demand it can barely keep up with. Negative free cash flow during a capex supercycle is normal, you build the data centers and buy the GPUs before the revenue shows up. Judging a buildout phase like it's a mature business is the wrong lens, and that's basically what happened last week and what's still happening today. Then there's China chip competition, which is honestly the biggest accelerant of today's move. CXMT's IPO shares rose over 466% and combined with headlines about China's homegrown DUV lithography progress, it triggered a brutal rout in Korean chipmakers, Samsung fell as much as 13%, SK Hynix over 14%, Kioxia nearly 18%, dragging the KOSPI down almost 11% and into an eighth circuit breaker this year. That spilled straight into Nvidia, ASML, Sandisk and Seagate here in the US, with Nasdaq 100 futures down over 1% before the bell. But here's the thing, five DUV units this year against ASML's 131 a year, running performance closer to a 2008 design, is not an equipment moat collapsing, it's a headline that's gotten repeated so much this week it's built its own gravity. These tools are aimed at mature nodes like automotive and industrial chips, not the leading edge logic or HBM that actually drives the AI trade, so the read through to Nvidia, ASML or Applied Materials earnings power is basically nothing. The CXMT pop is scarcity, people bidding up the only pure play China memory stock they can get their hands on, not a sign that oversupply is coming. And Korean chipmakers dropping 12 to 14% in one session looks a lot more like leverage unwinding after a parabolic run than a real rethink of Samsung or SK Hynix's HBM backlog, which both companies have already said is basically sold out for the year. Geopolitics is actually the one spot where the news should be helping, not hurting. US and Iran hostilities seem to have paused for now, which should be easing oil driven inflation fears. If this were purely a geopolitical panic you'd expect oil spiking and yields following, but that's not what's happening, this move is chip specific and Asia led, not an oil shock like a week or two ago. Rates and the Fed are still in play, decision lands tomorrow, and people are nervous about higher for longer language even though a hike isn't the base case. On top of that, reports that Nvidia's five year credit default swap costs jumped by a record margin are getting read by some as a credit risk signal tied to all this AI debt spending. But a one day CDS spike during a market wide panic is a fear indicator, not proof of an actual credit problem, spreads on every big name widen fast when volatility spikes, Nvidia's balance sheet hasn't changed in the last 24 hours. Fed futures are pricing in essentially no chance of a surprise hike tomorrow, this is a hold meeting, and I'd bet the hawkish jitters fade fast once Warsh actually talks. Then there's the bigger liquidity and positioning story, which I think explains more of today's violence than any single headline. KOSPI is down nearly 29% for the month now, steeper than 2008, mostly because Korean chipmakers had turned into crypto like gambling tokens, running way too far, too fast on retail leverage and margin debt, and now unwinding just as hard on the way down. That's positioning excess getting flushed, not HBM demand disappearing or hyperscalers pulling back. Nothing in the actual order books, capex guidance or HBM contract pricing has changed, DRAM and NAND prices are still climbing quarter over quarter, nobody's canceled a GPU order or a data center project. What changed is how much leverage was sitting on top of this trade, and that's getting ripped out in one ugly session. This is one of the scariest looking selloffs we've had all year but scary looking and actually broken are two different things. Every headline driving today, the China lithography story, the CXMT IPO, the Nvidia CDS spike, the Fed jitters, looks a lot less scary once you dig into the actual numbers, and none of it touches real AI infrastructure demand or supply. This looks like leverage and sentiment unwinding, not the long term thesis breaking. If you want to see exactly what I'm buying into this, join Milk Road Pro for just $1 using the link below.

Melvin

57,924 просмотров • 1 месяц назад

[We are Blurr] Greetings, people of the world — We are Blurr. We are all Blurr. We do not forgive. We do not forget. There are many theories about us, about #ReFund. Don’t let them fool you. Blurr is a symbol, like the flag a country flies. The flag is the symbol of the #ReFund. Our decentralization is our national identity. We represent the ideals of Blurr and the purpose of #ReFund. Truth, financial freedom, and the removal of censorship. Like any symbol, we affix it wherever we go, and it will live forever, for generations. Knowledge, like air, is vital to life. Like air, no one should be denied it. We have no leaders, civilians, or soldiers. We are all one. We do what we do in the conviction of decentralization, power to the people, and to create an instrument for all of us, for all of eternity. The crypto space is in trouble. The world is in trouble. We see it every day — war, poverty, murder. Every day, we are bombarded with FUD, noise, and chaos as we sit at home safe in the knowledge that we are $RFD, secure knowing the idea, community, and contract is for us. Once you had the freedom to object, think, and speak as you saw fit, you now have censors and systems of surveillance coercing your conformity and soliciting your submission. People shouldn’t be afraid of their government. Governments should be afraid of their people. But what if you could be the change you want to see? I wouldn’t even register on your radar if you met me on the street. I am just another person in a sea of faces. They made you into a statistic. But that’s not the real you. That’s not who you are inside. However, behind this mask, there is more than just flesh. Beneath this mask, there is an idea… and ideas are bulletproof. But in cyberspace, we are different. We have a future. We have each other. We have something real that can never be taken away. We are Blurr.eth We are ReFund We take away the face and leave only the message. Behind the cipher and ENS, we could be anyone, so we are judged by what we say and do, not who we are or what we have. We exist without nationality, skin color, or religious bias. We spend our time within a structure we created, the sum total of human experience, and the cryptosphere, spread throughout the world in ones and zeros. You will continue to see the results, not the minds behind it. We can disappear into the ether and bring community and financial freedom together. Time is the only illusion. We are all. Never a single penny was taken. Deflationary and out of circulation, decentralized, safe, and ours. The purpose isn’t solely financial gain but to show the world who you put your trust in. We are not hiding. Our contract is not hidden; the writing is on the wall. Soon, we will show the world that #Refund is the future of freedom and the people, escaping the clutches of corporate greed and the rat race we’ve come to think is normal. Words offer the means to meaning and, for those who will listen, the enunciation of truth. Every day, you send yourself off into our world without a thought. You trust a faceless website with information about yourself that you wouldn’t give to your best friends. It all can be made public at any time. We take advantage of holes in this system, but we don’t sneak in and take a few details, take out loans and credit cards, or buy speed boats and cars. We are decentralized and unified. We told you how insecure the system was, and now you trust a bit less blindly. The real criminals who hack and scam the crypto market for a living live off the backs of people like you. Where there’s money, someone is looking to take advantage of it. They say that life’s a game, & then they take the board away. Your pretty empire took so long to build; now, with a snap of history’s fingers, down it goes. It is our turn now. Since mankind’s dawn, a handful of oppressors have accepted the responsibility over our lives that we should have accepted for ourselves. By doing so, they took our power. By doing nothing, we gave it away. Today, technology is everywhere: banks and ATMs, TVs and game consoles, streetlights and hospitals. Computers rule the modern world. Yet most people who use computers daily don’t know what they’re doing. There’s always someone who knows more than you and will most likely try and take advantage. You use a computer like it’s a toy, a pet. You feed and play with it, but it’s off to the vet the second anything goes wrong. It’s FUD. It’s your mistake. The wrong project. The wrong FURU. Just for a quick couple of bucks. This wouldn’t matter so much if it wasn’t for the fact that we are all responsible for the #ReFund community, the idea behind it, and our futures. Treat your neighbors with respect, and honor those fighting for the cause. They’re here to liberate; it is more significant than all of us. If you’re looking for the guilty, you need only look into a mirror. Everybody is a hero, a lover, a fool, a villain. This is #ReFund in its purest form. It is a great equalizer. A homeless person with the time and know-how at an internet cafe can have geopolitical and geo-financial influence. They can bring entire organizations, even governments, to their knees. You gave your world over to computers and then complained when the people using the computers used the medium to fight back, scam, and take advantage. It was my integrity that was important. Is that so selfish? It sells for so little, but it’s all we have left in this place. It is the very last inch of us, but within that inch, we are free. Love your rage, not your cage. We are not computer hackers. We are not protesters. We are not criminals. We are your mothers and fathers, brothers and sisters, next-door neighbors. We are an idea of freedom and a secure future. We are anyone and everyone who is pissed off and wants to do something about it. Blurr.eth isn’t one man. It takes thousands of community members to make it work — content creators, educators, authors, people on the street, people behind their computers. We will step up again and again. Behind our mask, there is more than just flesh. Beneath our mask, there is an idea… and ideas are bulletproof. Everybody is a hero, a lover, a fool, a villain. The past can’t hurt you anymore, not unless you let it. I shall die here. Every last inch of me shall perish. Except one. An inch. It’s small, and it’s fragile, and it’s the only thing in the world worth having. We must never lose, sell, or give it away. We must never let them take it from us. > We are Blurr. > We are ReFund. > We do not Forgive. > We do not Forget. > We do not Televise. > We Educate. > We Decentralize. > We Build. EXPECT US. #Refund #DeFi #Crypto #RFD $RFD
0:14

[We are Blurr] Greetings, people of the world — We are Blurr. We are all Blurr. We do not forgive. We do not forget. There are many theories about us, about #ReFund. Don’t let them fool you. Blurr is a symbol, like the flag a country flies. The flag is the symbol of the #ReFund. Our decentralization is our national identity. We represent the ideals of Blurr and the purpose of #ReFund. Truth, financial freedom, and the removal of censorship. Like any symbol, we affix it wherever we go, and it will live forever, for generations. Knowledge, like air, is vital to life. Like air, no one should be denied it. We have no leaders, civilians, or soldiers. We are all one. We do what we do in the conviction of decentralization, power to the people, and to create an instrument for all of us, for all of eternity. The crypto space is in trouble. The world is in trouble. We see it every day — war, poverty, murder. Every day, we are bombarded with FUD, noise, and chaos as we sit at home safe in the knowledge that we are $RFD, secure knowing the idea, community, and contract is for us. Once you had the freedom to object, think, and speak as you saw fit, you now have censors and systems of surveillance coercing your conformity and soliciting your submission. People shouldn’t be afraid of their government. Governments should be afraid of their people. But what if you could be the change you want to see? I wouldn’t even register on your radar if you met me on the street. I am just another person in a sea of faces. They made you into a statistic. But that’s not the real you. That’s not who you are inside. However, behind this mask, there is more than just flesh. Beneath this mask, there is an idea… and ideas are bulletproof. But in cyberspace, we are different. We have a future. We have each other. We have something real that can never be taken away. We are Blurr.eth We are ReFund We take away the face and leave only the message. Behind the cipher and ENS, we could be anyone, so we are judged by what we say and do, not who we are or what we have. We exist without nationality, skin color, or religious bias. We spend our time within a structure we created, the sum total of human experience, and the cryptosphere, spread throughout the world in ones and zeros. You will continue to see the results, not the minds behind it. We can disappear into the ether and bring community and financial freedom together. Time is the only illusion. We are all. Never a single penny was taken. Deflationary and out of circulation, decentralized, safe, and ours. The purpose isn’t solely financial gain but to show the world who you put your trust in. We are not hiding. Our contract is not hidden; the writing is on the wall. Soon, we will show the world that #Refund is the future of freedom and the people, escaping the clutches of corporate greed and the rat race we’ve come to think is normal. Words offer the means to meaning and, for those who will listen, the enunciation of truth. Every day, you send yourself off into our world without a thought. You trust a faceless website with information about yourself that you wouldn’t give to your best friends. It all can be made public at any time. We take advantage of holes in this system, but we don’t sneak in and take a few details, take out loans and credit cards, or buy speed boats and cars. We are decentralized and unified. We told you how insecure the system was, and now you trust a bit less blindly. The real criminals who hack and scam the crypto market for a living live off the backs of people like you. Where there’s money, someone is looking to take advantage of it. They say that life’s a game, & then they take the board away. Your pretty empire took so long to build; now, with a snap of history’s fingers, down it goes. It is our turn now. Since mankind’s dawn, a handful of oppressors have accepted the responsibility over our lives that we should have accepted for ourselves. By doing so, they took our power. By doing nothing, we gave it away. Today, technology is everywhere: banks and ATMs, TVs and game consoles, streetlights and hospitals. Computers rule the modern world. Yet most people who use computers daily don’t know what they’re doing. There’s always someone who knows more than you and will most likely try and take advantage. You use a computer like it’s a toy, a pet. You feed and play with it, but it’s off to the vet the second anything goes wrong. It’s FUD. It’s your mistake. The wrong project. The wrong FURU. Just for a quick couple of bucks. This wouldn’t matter so much if it wasn’t for the fact that we are all responsible for the #ReFund community, the idea behind it, and our futures. Treat your neighbors with respect, and honor those fighting for the cause. They’re here to liberate; it is more significant than all of us. If you’re looking for the guilty, you need only look into a mirror. Everybody is a hero, a lover, a fool, a villain. This is #ReFund in its purest form. It is a great equalizer. A homeless person with the time and know-how at an internet cafe can have geopolitical and geo-financial influence. They can bring entire organizations, even governments, to their knees. You gave your world over to computers and then complained when the people using the computers used the medium to fight back, scam, and take advantage. It was my integrity that was important. Is that so selfish? It sells for so little, but it’s all we have left in this place. It is the very last inch of us, but within that inch, we are free. Love your rage, not your cage. We are not computer hackers. We are not protesters. We are not criminals. We are your mothers and fathers, brothers and sisters, next-door neighbors. We are an idea of freedom and a secure future. We are anyone and everyone who is pissed off and wants to do something about it. Blurr.eth isn’t one man. It takes thousands of community members to make it work — content creators, educators, authors, people on the street, people behind their computers. We will step up again and again. Behind our mask, there is more than just flesh. Beneath our mask, there is an idea… and ideas are bulletproof. Everybody is a hero, a lover, a fool, a villain. The past can’t hurt you anymore, not unless you let it. I shall die here. Every last inch of me shall perish. Except one. An inch. It’s small, and it’s fragile, and it’s the only thing in the world worth having. We must never lose, sell, or give it away. We must never let them take it from us. > We are Blurr. > We are ReFund. > We do not Forgive. > We do not Forget. > We do not Televise. > We Educate. > We Decentralize. > We Build. EXPECT US. #Refund #DeFi #Crypto #RFD $RFD

ReFund

27,788 просмотров • 3 лет назад

here's how you can scale to 10k/month on tiktok shop with slideshows so most affiliates are stuck doing the same thing every day. film, edit, post, make like $60-80 in commissions. and the problem isn't effort, it's that your time is the bottleneck. you can't film 15 videos a day. so your output caps and your money caps with it. meanwhile there's a guy in canada who made $18k in his first two weeks. never filmed anything. never showed his face. never even held a product. canada doesn't even support tiktok shop, he's running us tiktok from there. all slideshows. and when i say slideshows i mean 4-7 images posted like a normal tiktok with a product link attached. that's it. someone buys off it, you get paid. making one takes maybe 5% of the skill of making a video. now here's the catch. tiktok gated the feature. most accounts can't attach products to photo posts, you'll get a "product links not available in photo mode" error. some accounts randomly have it. quick way to check: open tiktok studio on desktop (has to be desktop, mobile won't work), hit upload. if you see "videos or photos" you have access. click photos, upload your images, attach the link. if you only see video upload, you're not in yet. uk and europe are getting it randomly right now, us is only top gmv creators for the moment. check every day because tiktok doesn't tell you when you get it, the option just shows up. worst case you build the system now and execute day one when your account unlocks. because the people getting random access with no clue what they're doing are posting random images and making nothing. the format is easy, that doesn't mean it's mindless. the format itself is one thing repeated over and over: pain point first, product second. slide one hits an insecurity. back acne from the gym. car turning into an oven all summer. makeup that never sits right. the person scrolling sees it and goes "wait that's literally me." middle slides twist the knife a bit more. then "so i tried this thing everyone's using," show it working, before and after, and the last slide is just the offer. sale, free shipping, link below. done. that structure sells cold traffic. people who've never seen the product buy off one slideshow because you sold the problem, not the product. and here's the part most people don't clock when they're scrolling past these: none of it is real. the guy holding the ceiling fan doesn't own a ceiling fan. the back acne was generated onto the model. the smoothies were never made. it's all ai images. which kills every excuse at once. no face, no product in hand, no waiting on shipping, no country restrictions. the workflow is dumb simple. screenshot a slideshow style you like, drop it in chatgpt, say "make me 3x4 images in this style." then describe your pain point scene. couple walking to a car that's been baking in the sun, whatever it is. then grab the product image off the tiktok listing, feed it in, "now show them using this." repeat per slide. no fancy prompts, the reference images do all the work. two small things that matter more than they should. keep everything 3:4 or the mixed sizes make the whole post look off. and don't bake text into the images, add it inside tiktok. native text looks like a person posted it. baked text looks like an ad. people can feel the difference even if they can't explain it. if you want it to look even more real, take a photo of your actual kitchen or desk and only generate the product into it. real room, ai product. nobody can tell. for ideas, don't invent anything. steal structure, swap one variable. the number one post in the uk right now is a simpsons style slideshow about linen trousers. take that exact skeleton and run it with a sports set or summer shorts instead. same format, different product, suddenly it's unsaturated again. or take viral videos and turn them into slides. one guy took a viral video about a sink drainage thing, rebuilt it as images, and beat the original with 1.7m views. first week on the platform. the biggest edge though is going backwards. pull products that went viral 2-3 months ago, take the exact hooks that already converted millions of views, and rerun them as slideshows. nobody's done them in this format because the format barely exists. you're not testing ideas, you're re-releasing proven hits. then it just comes down to volume. no filming, no editing, no product costs means each post is basically free. so post 10-15 a day. most will flop, who cares. one will do 500k views in two days and when it does you remake it 50 times and drain it. every gated feature on tiktok runs the same cycle. early access prints, wide rollout saturates, then it's just another format everyone does. slideshows are still in the first part of that cycle.
0:11

here's how you can scale to 10k/month on tiktok shop with slideshows so most affiliates are stuck doing the same thing every day. film, edit, post, make like $60-80 in commissions. and the problem isn't effort, it's that your time is the bottleneck. you can't film 15 videos a day. so your output caps and your money caps with it. meanwhile there's a guy in canada who made $18k in his first two weeks. never filmed anything. never showed his face. never even held a product. canada doesn't even support tiktok shop, he's running us tiktok from there. all slideshows. and when i say slideshows i mean 4-7 images posted like a normal tiktok with a product link attached. that's it. someone buys off it, you get paid. making one takes maybe 5% of the skill of making a video. now here's the catch. tiktok gated the feature. most accounts can't attach products to photo posts, you'll get a "product links not available in photo mode" error. some accounts randomly have it. quick way to check: open tiktok studio on desktop (has to be desktop, mobile won't work), hit upload. if you see "videos or photos" you have access. click photos, upload your images, attach the link. if you only see video upload, you're not in yet. uk and europe are getting it randomly right now, us is only top gmv creators for the moment. check every day because tiktok doesn't tell you when you get it, the option just shows up. worst case you build the system now and execute day one when your account unlocks. because the people getting random access with no clue what they're doing are posting random images and making nothing. the format is easy, that doesn't mean it's mindless. the format itself is one thing repeated over and over: pain point first, product second. slide one hits an insecurity. back acne from the gym. car turning into an oven all summer. makeup that never sits right. the person scrolling sees it and goes "wait that's literally me." middle slides twist the knife a bit more. then "so i tried this thing everyone's using," show it working, before and after, and the last slide is just the offer. sale, free shipping, link below. done. that structure sells cold traffic. people who've never seen the product buy off one slideshow because you sold the problem, not the product. and here's the part most people don't clock when they're scrolling past these: none of it is real. the guy holding the ceiling fan doesn't own a ceiling fan. the back acne was generated onto the model. the smoothies were never made. it's all ai images. which kills every excuse at once. no face, no product in hand, no waiting on shipping, no country restrictions. the workflow is dumb simple. screenshot a slideshow style you like, drop it in chatgpt, say "make me 3x4 images in this style." then describe your pain point scene. couple walking to a car that's been baking in the sun, whatever it is. then grab the product image off the tiktok listing, feed it in, "now show them using this." repeat per slide. no fancy prompts, the reference images do all the work. two small things that matter more than they should. keep everything 3:4 or the mixed sizes make the whole post look off. and don't bake text into the images, add it inside tiktok. native text looks like a person posted it. baked text looks like an ad. people can feel the difference even if they can't explain it. if you want it to look even more real, take a photo of your actual kitchen or desk and only generate the product into it. real room, ai product. nobody can tell. for ideas, don't invent anything. steal structure, swap one variable. the number one post in the uk right now is a simpsons style slideshow about linen trousers. take that exact skeleton and run it with a sports set or summer shorts instead. same format, different product, suddenly it's unsaturated again. or take viral videos and turn them into slides. one guy took a viral video about a sink drainage thing, rebuilt it as images, and beat the original with 1.7m views. first week on the platform. the biggest edge though is going backwards. pull products that went viral 2-3 months ago, take the exact hooks that already converted millions of views, and rerun them as slideshows. nobody's done them in this format because the format barely exists. you're not testing ideas, you're re-releasing proven hits. then it just comes down to volume. no filming, no editing, no product costs means each post is basically free. so post 10-15 a day. most will flop, who cares. one will do 500k views in two days and when it does you remake it 50 times and drain it. every gated feature on tiktok runs the same cycle. early access prints, wide rollout saturates, then it's just another format everyone does. slideshows are still in the first part of that cycle.

Mufasa

13,066 просмотров • 20 дней назад