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Valentin

@martynov014 • 2,932 subscribers

team @CELE8EX | trader @polymarket | AI/Tech

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A GIRL WALKED OFF THE TOP OF A WATERSLIDE, THREW TWO FLIPS DOWN THE FACE OF IT, AND LANDED IN THE POOL 20,000 likes None of it is generated. That is exactly why it is worth eleven seconds, because your feed has spent a year training you to assume the opposite run it as a test. here is what is in the frame that no model reliably puts there yet: → the water. spray leaves her body at the right angle and volume for her speed, and the sheet on the slide deforms under her weight instead of flowing past her → the rotation conserves. she tucks and the spin accelerates, she opens and it slows. angular momentum is a constraint, and generators approximate it rather than obey it → the crowd reacts late. people on the platform turn after she has already gone, because they are reacting, not choreographed → the camera operator loses her. the frame lags the subject and catches up. that is a mistake, and mistakes are the expensive thing to fake → and the landing is ugly. real impacts are. generated ones almost always resolve too cleanly none of that is a checklist you can memorise, and pretending otherwise is how people get caught. every one of those tells has a shelf life. three of them were already unreliable a year ago what does not expire is where you look. continuity, physics, and mistakes - the three places a model has to simulate a system instead of reproducing a surface. surfaces are solved. systems are not, yet and the reason this gets more useful every month is not fakes. it is that real footage is starting to get accused. the cost of being wrong now runs in both directions the fastest way to calibrate your own eye is to make one yourself. image-to-video from a still, one line about the motion - Picsart runs it from a phone. you start spotting the tells about ten minutes after you have made your own this one is real. the fact that you had to check is the actual story

A GIRL WALKED OFF THE TOP OF A WATERSLIDE, THREW TWO FLIPS DOWN THE FACE OF IT, AND LANDED IN THE POOL 20,000 likes None of it is generated. That is exactly why it is worth eleven seconds, because your feed has spent a year training you to assume the opposite run it as a test. here is what is in the frame that no model reliably puts there yet: → the water. spray leaves her body at the right angle and volume for her speed, and the sheet on the slide deforms under her weight instead of flowing past her → the rotation conserves. she tucks and the spin accelerates, she opens and it slows. angular momentum is a constraint, and generators approximate it rather than obey it → the crowd reacts late. people on the platform turn after she has already gone, because they are reacting, not choreographed → the camera operator loses her. the frame lags the subject and catches up. that is a mistake, and mistakes are the expensive thing to fake → and the landing is ugly. real impacts are. generated ones almost always resolve too cleanly none of that is a checklist you can memorise, and pretending otherwise is how people get caught. every one of those tells has a shelf life. three of them were already unreliable a year ago what does not expire is where you look. continuity, physics, and mistakes - the three places a model has to simulate a system instead of reproducing a surface. surfaces are solved. systems are not, yet and the reason this gets more useful every month is not fakes. it is that real footage is starting to get accused. the cost of being wrong now runs in both directions the fastest way to calibrate your own eye is to make one yourself. image-to-video from a still, one line about the motion - Picsart runs it from a phone. you start spotting the tells about ten minutes after you have made your own this one is real. the fact that you had to check is the actual story

643,489 просмотров

They cut you jelly by the slab A vendor slices red jelly off a giant tray for two customers. 20,272 likes Three things doing the work: 1. the shop window, the street and the customers look like any night-market phone clip 2. the creator says it's made with Higgsfield Genjutsu 3. the jelly wobbles and slices like the real thing, the detail that makes it believable Putting new characters into a real-looking street-food scene used to be a VFX job. Now one reference image does it, and the real skill is picking the scene Would you try a slice?

They cut you jelly by the slab A vendor slices red jelly off a giant tray for two customers. 20,272 likes Three things doing the work: 1. the shop window, the street and the customers look like any night-market phone clip 2. the creator says it's made with Higgsfield Genjutsu 3. the jelly wobbles and slices like the real thing, the detail that makes it believable Putting new characters into a real-looking street-food scene used to be a VFX job. Now one reference image does it, and the real skill is picking the scene Would you try a slice?

247,154 просмотров

Holy shit, big-nosed grandpa A man with a giant nose gets sunglasses perched on it. 136,373 likes Three things doing the work: 1. the face is a caricature, but the skin, the stubble and the car seat look completely real 2. an off-camera hand does the action, so it feels like a friend filming 3. the creator says it's made with Higgsfield Genjutsu, which builds on real footage Caricatures used to live in drawings and prosthetic makeup. Now any exaggerated face can be dropped into a real-looking clip, and the scarce part is a face people want to look at twice What should he balance next?

Holy shit, big-nosed grandpa A man with a giant nose gets sunglasses perched on it. 136,373 likes Three things doing the work: 1. the face is a caricature, but the skin, the stubble and the car seat look completely real 2. an off-camera hand does the action, so it feels like a friend filming 3. the creator says it's made with Higgsfield Genjutsu, which builds on real footage Caricatures used to live in drawings and prosthetic makeup. Now any exaggerated face can be dropped into a real-looking clip, and the scarce part is a face people want to look at twice What should he balance next?

76,440 просмотров

His back is wider than him A giant shouldered man stands outside a Mario theme park Three things doing the work: 1. one impossible body against one of the most recognisable backdrops on earth 2. nothing moves except the crowd, and the silhouette alone stops the scroll 3. the tourists around him act completely normal, which sells the whole thing A year ago anatomy this exaggerated would have melted the moment the camera lingered. Now it holds for fourteen seconds in a busy, real looking location, and the scarce part is the idea, not the render image-to-video is the cheapest way to test an idea this strange: one still, one line of motion Where should he stand next?

His back is wider than him A giant shouldered man stands outside a Mario theme park Three things doing the work: 1. one impossible body against one of the most recognisable backdrops on earth 2. nothing moves except the crowd, and the silhouette alone stops the scroll 3. the tourists around him act completely normal, which sells the whole thing A year ago anatomy this exaggerated would have melted the moment the camera lingered. Now it holds for fourteen seconds in a busy, real looking location, and the scarce part is the idea, not the render image-to-video is the cheapest way to test an idea this strange: one still, one line of motion Where should he stand next?

23,901 просмотров

PERFECT EXAMPLE OF HOW YOU CAN TURN $17 INTO $2,000 ON WEATHER PREDICTION This is exactly what this trader did To make money you don’t need to start with huge amounts Here are this trader’s stats: - 403 predictions (only weather) - first deposit $300 - $6,000 in one month -$2,700 per week - $331 profit per day for the last week his profile: Save and bookmark this

PERFECT EXAMPLE OF HOW YOU CAN TURN $17 INTO $2,000 ON WEATHER PREDICTION This is exactly what this trader did To make money you don’t need to start with huge amounts Here are this trader’s stats: - 403 predictions (only weather) - first deposit $300 - $6,000 in one month -$2,700 per week - $331 profit per day for the last week his profile: Save and bookmark this

36,073 просмотров

$100,000/month net with fake girlfriends isn’t an offshore anymore, it’s a new SaaS wearing an OnlyFans skin this article shows how an 8-12 person OF agency becomes a solo op with four files per persona: persona.md, voice.md, flux.md, brain.md. the real asset is brain.md - memory on each fan that scales 5+ personas and prints $127,000 on ~$400 compute in the end, the "agency" is just a Claude code orchestrator with a cron job pinging five inboxes every 30 seconds

$100,000/month net with fake girlfriends isn’t an offshore anymore, it’s a new SaaS wearing an OnlyFans skin this article shows how an 8-12 person OF agency becomes a solo op with four files per persona: persona.md, voice.md, flux.md, brain.md. the real asset is brain.md - memory on each fan that scales 5+ personas and prints $127,000 on ~$400 compute in the end, the "agency" is just a Claude code orchestrator with a cron job pinging five inboxes every 30 seconds

36,640 просмотров

Plasma One has the rare referral deal where both people get paid, not just the one sharing the link Someone joins with your access code, spends $100 on their card and you both get $10 Access Code: W6TRRM Not you get $10 and they get a discount Actual $10 each, in dollars, straight to the balance And it is not a one time thing on your end - every new person you bring who hits that $100 earns you another $10 The spend is real card spend, the stuff they were buying anyway, so most people clear it without changing a thing iOS or Android, both sides win Drop your username or grab a code and start stacking them

Plasma One has the rare referral deal where both people get paid, not just the one sharing the link Someone joins with your access code, spends $100 on their card and you both get $10 Access Code: W6TRRM Not you get $10 and they get a discount Actual $10 each, in dollars, straight to the balance And it is not a one time thing on your end - every new person you bring who hits that $100 earns you another $10 The spend is real card spend, the stuff they were buying anyway, so most people clear it without changing a thing iOS or Android, both sides win Drop your username or grab a code and start stacking them

16,916 просмотров

If you spend $2,000 a month and pay for ChatGPT and Claude, this card hands you around $1,000 back a year - and almost nobody has done the math > 3% base cashback on Core, 5% on your AI subscriptions > Bump to Platinum and AI cashback jumps to 10%, with Claude Pro and ChatGPT Plus bundled in - roughly $500 of subscriptions covered before you count a single cashback dollar Access Code: W6TRRM That is money coming back on spending you were doing anyway. Groceries, subscriptions, the AI tools you already pay for One honest catch I cover in the article - the cashback pays in $XPL, a volatile token and the rate is capped and laddered, not flat. So run your own numbers, do not take a headline rate as gospel But the structure is real. Every other card treats your AI bill as ordinary spend. This one turns it into your highest earning category Full math, every tier, every tradeoff, in the article

If you spend $2,000 a month and pay for ChatGPT and Claude, this card hands you around $1,000 back a year - and almost nobody has done the math > 3% base cashback on Core, 5% on your AI subscriptions > Bump to Platinum and AI cashback jumps to 10%, with Claude Pro and ChatGPT Plus bundled in - roughly $500 of subscriptions covered before you count a single cashback dollar Access Code: W6TRRM That is money coming back on spending you were doing anyway. Groceries, subscriptions, the AI tools you already pay for One honest catch I cover in the article - the cashback pays in $XPL, a volatile token and the rate is capped and laddered, not flat. So run your own numbers, do not take a headline rate as gospel But the structure is real. Every other card treats your AI bill as ordinary spend. This one turns it into your highest earning category Full math, every tier, every tradeoff, in the article

13,134 просмотров

Weather trader made $15,000 in 3 month on Polymarket with 99% winrate His PNL curve is impressive, look at how steadily it grows It especially catches the eye almost without drawdowns His profile: Biggest Win $891.37 Prediction 3,185 Win Rate 99.5% His strategy is very simple: Buying events with the highest probability of closing in his favor he buys at 80c-90c And as you can see, it works

Weather trader made $15,000 in 3 month on Polymarket with 99% winrate His PNL curve is impressive, look at how steadily it grows It especially catches the eye almost without drawdowns His profile: Biggest Win $891.37 Prediction 3,185 Win Rate 99.5% His strategy is very simple: Buying events with the highest probability of closing in his favor he buys at 80c-90c And as you can see, it works

21,798 просмотров

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

17,188 просмотров

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I TRAINED THE FLY TO PRAY SALAH Bro never misses a prayer. Is there anything this little guy can’t do? No disrespect intended to anyone’s beliefs. I respect all religions and cultures
0:22
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I TRAINED THE FLY TO PRAY SALAH Bro never misses a prayer. Is there anything this little guy can’t do? No disrespect intended to anyone’s beliefs. I respect all religions and cultures

Valentin

62,972 просмотров • 1 месяц назад

A founder pushed one button and watched a billion dollars land in a single smart contract in under a couple of minutes. He said it was the most stressed he's been in his entire life. Paul Faecks runs Plasma, a blockchain built for one thing: moving stablecoins around the world, ideally for free. Before launch, the team had made zero private deals and zero pre-commitments. Nobody on the team, including him, knew if the first $250M deposit cap would even fill. It filled in a couple of blocks. They raised the cap. It filled again. They raised it again, to $500M. That filled in three or four minutes. Total: over $1B sitting in one smart contract, before the token had even launched. His words: "Pushing the big green button is just always scary, because there's just so much at stake." And even once it worked: "It just stays scary even after it's done, because now you have this value in the contract." This is what's actually sitting behind the stablecoin rails and crypto debit cards you're starting to see everywhere. Not vibes. Nine-figure smart contracts and a founder who didn't sleep. Full interview: Paul Faecks on When Shift Happens.
2:49
martynov014's profile picture

A founder pushed one button and watched a billion dollars land in a single smart contract in under a couple of minutes. He said it was the most stressed he's been in his entire life. Paul Faecks runs Plasma, a blockchain built for one thing: moving stablecoins around the world, ideally for free. Before launch, the team had made zero private deals and zero pre-commitments. Nobody on the team, including him, knew if the first $250M deposit cap would even fill. It filled in a couple of blocks. They raised the cap. It filled again. They raised it again, to $500M. That filled in three or four minutes. Total: over $1B sitting in one smart contract, before the token had even launched. His words: "Pushing the big green button is just always scary, because there's just so much at stake." And even once it worked: "It just stays scary even after it's done, because now you have this value in the contract." This is what's actually sitting behind the stablecoin rails and crypto debit cards you're starting to see everywhere. Not vibes. Nine-figure smart contracts and a founder who didn't sleep. Full interview: Paul Faecks on When Shift Happens.

Valentin

63,794 просмотров • 1 месяц назад

A Polymarket trader turned $272 into $14,000 on ETH and $364 into $29,000 on XRP in the same 60 days he banked $300K total 4,000 trades across ETH, SOL, XRP. Averaging $4,800 profit per day Profile: Setup looks semi-automated: human strategy, bot execution The edge: He farms safe yield on NO outcomes that are nearly impossible then uses that steady income to fund tiny asymmetric bets with massive upside Two engines running side by side: - Boring engine: buy NO at 98¢ on unlikely outcomes, collect $0.02 spread, repeat - Lottery engine: buy YES at pennies on plausible tails, occasional 50–100x payouts The boring engine covers the cost of all the lottery tickets that expire worthless. The lottery wins compound the account Most traders pick one or the other chase steady yield, or chase moonshots. He runs both at once, and that’s the entire edge Less emotional trading. More structured volatility extraction
0:25
martynov014's profile picture

A Polymarket trader turned $272 into $14,000 on ETH and $364 into $29,000 on XRP in the same 60 days he banked $300K total 4,000 trades across ETH, SOL, XRP. Averaging $4,800 profit per day Profile: Setup looks semi-automated: human strategy, bot execution The edge: He farms safe yield on NO outcomes that are nearly impossible then uses that steady income to fund tiny asymmetric bets with massive upside Two engines running side by side: - Boring engine: buy NO at 98¢ on unlikely outcomes, collect $0.02 spread, repeat - Lottery engine: buy YES at pennies on plausible tails, occasional 50–100x payouts The boring engine covers the cost of all the lottery tickets that expire worthless. The lottery wins compound the account Most traders pick one or the other chase steady yield, or chase moonshots. He runs both at once, and that’s the entire edge Less emotional trading. More structured volatility extraction

Valentin

21,774 просмотров • 5 месяцев назад

Plasma One passing 100k is not the number that got me - it is that 16,434 people actually spent in a single month Most cards get signups and die. This one is getting used - $15.2M spent in July alone, up 69% from June And I have a front row seat to it. 1,400+ of those users came through my referrals and they are not dead signups - they are spending, which is the whole game Access Code: W6TRRM - $103M topped up onto cards since launch - $859K already paid back in cashback, all in XPL - 692 tier lockers holding 62.8M XPL, worth $4.73M Screen recording below, straight from my phone Nathan Vinny Googly 👀 thanks for the P1
0:22
martynov014's profile picture

Plasma One passing 100k is not the number that got me - it is that 16,434 people actually spent in a single month Most cards get signups and die. This one is getting used - $15.2M spent in July alone, up 69% from June And I have a front row seat to it. 1,400+ of those users came through my referrals and they are not dead signups - they are spending, which is the whole game Access Code: W6TRRM - $103M topped up onto cards since launch - $859K already paid back in cashback, all in XPL - 692 tier lockers holding 62.8M XPL, worth $4.73M Screen recording below, straight from my phone Nathan Vinny Googly 👀 thanks for the P1

Valentin

11,411 просмотров • 2 месяцев назад

Polymarket supercycle 👀 > researching markets Polymarket Traders > best community Polymarket > 24/7 in zerosupercycle
0:27
martynov014's profile picture

Polymarket supercycle 👀 > researching markets Polymarket Traders > best community Polymarket > 24/7 in zerosupercycle

Valentin

29,192 просмотров • 1 год назад

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