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🚨 Deep dive on a high-performing $PDD option contract from unusual_whales 🐳 — ran from $5.10 to $13.20 (+158.82%) and still sits 7% in the money. In this video, I break down: • The original whale entry • Spot price vs. IV spike • Bid/ask dynamics • Why not... show more

Anthony Sandford

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154,536 просмотров • 1 год назад •via X (Twitter)

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Let’s do a deep dive video recap on the $ZM flow that hit the unusual_whales 🐳 flow feed on 7/15 and recap it. We had a whale open 5,365 contracts at an average of $0.46 for $247,507 in premium. When we look at the raw flow feed, we see everything coming in at the ask, but what sticks out is the floor trade that comes in at the end, which came in above the ask and had a big spike in implied volatility. We also had three spikes in net call premium on 7/11, 7/14, and 7/15. These contracts made a move from $0.46 to a high of $0.67 within an hour for a 45.65% gain. We can see a majority of the volume carried over into 7/16, so we know this whale held a majority of their position. At open today, we can see a large red bid-side candle come in with 5,282 contracts traded at $0.60 for $315,097. This looks like a clean exit by the whale, closing out their contracts at a 30.43% win. This whale made roughly $75,000 on this trade. This is very textbook flow, with the spot price increasing, IV increasing, and net call premiums showing spikes.

Let’s do a deep dive video recap on the $ZM flow that hit the unusual_whales 🐳 flow feed on 7/15 and recap it. We had a whale open 5,365 contracts at an average of $0.46 for $247,507 in premium. When we look at the raw flow feed, we see everything coming in at the ask, but what sticks out is the floor trade that comes in at the end, which came in above the ask and had a big spike in implied volatility. We also had three spikes in net call premium on 7/11, 7/14, and 7/15. These contracts made a move from $0.46 to a high of $0.67 within an hour for a 45.65% gain. We can see a majority of the volume carried over into 7/16, so we know this whale held a majority of their position. At open today, we can see a large red bid-side candle come in with 5,282 contracts traded at $0.60 for $315,097. This looks like a clean exit by the whale, closing out their contracts at a 30.43% win. This whale made roughly $75,000 on this trade. This is very textbook flow, with the spot price increasing, IV increasing, and net call premiums showing spikes.

Anthony Sandford

208,218 просмотров • 1 год назад

If you’ve been on the fence about trying unusual_whales 🐳 — now’s the best time to dive in. From now through July 8th, they’re offering: 🔥 15% off for all new subscribers 🔥 20% off if you upgrade your current plan unusual_whales isn’t just another options platform — it’s a full suite of tools built for traders who want real-time data, clear insight, and an edge in the market. Included with your subscription: - Real-time options flow with advanced filters - Market tide & sentiment tracking - Dark pool insights - Gamma/GEX tools - Tools to map out option profit/loss -Politician trades and their portfolios - Event calendars for earnings, macro data, FDA decisions, and more It’s fast, it’s powerful, and it’s beginner-friendly without cutting corners. I’ve put together a full walkthrough of the entire unusual_whales platform so you can see exactly what you’re getting. Check it out and lock in your discount here: ⬇️

If you’ve been on the fence about trying unusual_whales 🐳 — now’s the best time to dive in. From now through July 8th, they’re offering: 🔥 15% off for all new subscribers 🔥 20% off if you upgrade your current plan unusual_whales isn’t just another options platform — it’s a full suite of tools built for traders who want real-time data, clear insight, and an edge in the market. Included with your subscription: - Real-time options flow with advanced filters - Market tide & sentiment tracking - Dark pool insights - Gamma/GEX tools - Tools to map out option profit/loss -Politician trades and their portfolios - Event calendars for earnings, macro data, FDA decisions, and more It’s fast, it’s powerful, and it’s beginner-friendly without cutting corners. I’ve put together a full walkthrough of the entire unusual_whales platform so you can see exactly what you’re getting. Check it out and lock in your discount here: ⬇️

Anthony Sandford

220,649 просмотров • 1 год назад

Rasmr explains why having cash flow makes him cooler than a rich trencher with no income "There's a bunch of people with 3 mil PnL, but they don't have cash flow. I have money I make every month, I run this show, I have employees, I pay clippers. In my opinion what I do is cooler than just trenching, even if you have 8 or 10 mil, because I actually provide value and have a public persona." "I value clout, and I'm friends with really high level people. Just in Miami I linked with orangey, bread scales, Dylan Latham. That has real value, because if I'm doing business eventually, that network is going to pay off." "When you're a trader and you don't have cash flow, that's how you start taking bigger and bigger risks. You start rugging people, you start dumping on your followers, because you think you're rich and you elevate your lifestyle to 50k a month, and then you need a trade to profit just to keep spending. They don't have the cash flow to support the lifestyle."

Rasmr explains why having cash flow makes him cooler than a rich trencher with no income "There's a bunch of people with 3 mil PnL, but they don't have cash flow. I have money I make every month, I run this show, I have employees, I pay clippers. In my opinion what I do is cooler than just trenching, even if you have 8 or 10 mil, because I actually provide value and have a public persona." "I value clout, and I'm friends with really high level people. Just in Miami I linked with orangey, bread scales, Dylan Latham. That has real value, because if I'm doing business eventually, that network is going to pay off." "When you're a trader and you don't have cash flow, that's how you start taking bigger and bigger risks. You start rugging people, you start dumping on your followers, because you think you're rich and you elevate your lifestyle to 50k a month, and then you need a trade to profit just to keep spending. They don't have the cash flow to support the lifestyle."

Kai

41,317 просмотров • 1 месяц назад

Great simulation of the Ferrari Döner wing posted on LinkedIn by Dominik Bolasko. There are still some irregularities in this simulation, like the wing profiles being different than the actual Döner wing, but it looks to be one of the more accurate sims I have seen so far. One very interesting aspect of this simulation is the magnitude of the flow field disruption from the intermediate sail position. All DRS flaps naturally have a hysteresis with respect to flow recovery and attachment on flap closure. Hysteresis, in the simplest terms, is the difference in the value you get from the same device in one setting compared to another. In this case what we are looking at is the downforce the wing give you before opening, and after opening. So why would you have hysteresis? Well the flow will take some time to recover snd reattach after a big geometry change bringing back the full load (downforce) to the rear of the car for the braking zone. This exists for all cars that have a flap geometry change like this. However, the magnitude of the flow disruption can further delay this recovery causing the car to not re-establish the full load potential in the first phase of braking. So, I could certainly believe that the hysteresis for this type of wing would be greater than that of a conventional flap because of how much flow disturbance you have from that intermediate sail position. Meaning the rear of the Ferrari on initial braking could have some nervousness as the flow takes more time to re-attach and recover the load on the rear wing. In fact, this is exactly what Dominik found in his simulations (image 2). I did speak with someone with a team, and this was one aspect they indeed had considered as a negative to this design when they first saw it. It’s possible that’s part of what was being tested when they ran it during testing in Bahrain. Do you think we will see this wing again during the season?

Great simulation of the Ferrari Döner wing posted on LinkedIn by Dominik Bolasko. There are still some irregularities in this simulation, like the wing profiles being different than the actual Döner wing, but it looks to be one of the more accurate sims I have seen so far. One very interesting aspect of this simulation is the magnitude of the flow field disruption from the intermediate sail position. All DRS flaps naturally have a hysteresis with respect to flow recovery and attachment on flap closure. Hysteresis, in the simplest terms, is the difference in the value you get from the same device in one setting compared to another. In this case what we are looking at is the downforce the wing give you before opening, and after opening. So why would you have hysteresis? Well the flow will take some time to recover snd reattach after a big geometry change bringing back the full load (downforce) to the rear of the car for the braking zone. This exists for all cars that have a flap geometry change like this. However, the magnitude of the flow disruption can further delay this recovery causing the car to not re-establish the full load potential in the first phase of braking. So, I could certainly believe that the hysteresis for this type of wing would be greater than that of a conventional flap because of how much flow disturbance you have from that intermediate sail position. Meaning the rear of the Ferrari on initial braking could have some nervousness as the flow takes more time to re-attach and recover the load on the rear wing. In fact, this is exactly what Dominik found in his simulations (image 2). I did speak with someone with a team, and this was one aspect they indeed had considered as a negative to this design when they first saw it. It’s possible that’s part of what was being tested when they ran it during testing in Bahrain. Do you think we will see this wing again during the season?

Dr Obbs

78,898 просмотров • 5 месяцев назад

$BTC update 6th December 2025 These video updates are for educational purposes only and should never be considered as investment or trading advice. $BTC continues to trade in a period of risk with weakness in money flow data. The 93k level, which is the Y on the .382 on the internal SR continues to hold price. The highest probability is for a period of chop which will likely break to the downside into early 2026, which has been the long term forecast on this market and it would be reasonable to see the contract trade towards the .236 which is around 76k. There is a dominant cycle at work currently which needs to be satisfied and that will likely be in the level where demand far exceeds supply. $BTC could spike towards 97k but that would not repair the damage and it would likely fail and that would not change this forecast. As always, thanks to those who support the feed. I do not understand why this page is shadow banned (it has been for several weeks now).

$BTC update 6th December 2025 These video updates are for educational purposes only and should never be considered as investment or trading advice. $BTC continues to trade in a period of risk with weakness in money flow data. The 93k level, which is the Y on the .382 on the internal SR continues to hold price. The highest probability is for a period of chop which will likely break to the downside into early 2026, which has been the long term forecast on this market and it would be reasonable to see the contract trade towards the .236 which is around 76k. There is a dominant cycle at work currently which needs to be satisfied and that will likely be in the level where demand far exceeds supply. $BTC could spike towards 97k but that would not repair the damage and it would likely fail and that would not change this forecast. As always, thanks to those who support the feed. I do not understand why this page is shadow banned (it has been for several weeks now).

venture

33,723 просмотров • 8 месяцев назад

Most retail investors watch helplessly as their portfolios tank 30-40% during market crashes. Meanwhile, hedge funds limit their downside while maintaining full upside potential. Here's their secret: Collar options strategies. The setup is brilliantly simple. Let's say you own 100 Microsoft shares at $313. 1) The Put Option (Your Insurance) You buy a put option at $292—your protection floor. If Microsoft crashes to $220, instead of losing $9,300, you're only down $2,100. Better yet, your insurance pays out $5,300+ in cash to buy shares at fire-sale prices. 2) The Short Call (Free Protection) You sell a call at $330—your profit ceiling. This premium pays for your put option, making the protection completely free. If Microsoft rallies above $330, you still capture all gains up to that level. Practice this weekly on paper trading accounts first. Master it, and you'll never again watch your portfolio evaporate while professionals profit from the chaos. Here's what it looks like in practise (with a MSFT chart):

Most retail investors watch helplessly as their portfolios tank 30-40% during market crashes. Meanwhile, hedge funds limit their downside while maintaining full upside potential. Here's their secret: Collar options strategies. The setup is brilliantly simple. Let's say you own 100 Microsoft shares at $313. 1) The Put Option (Your Insurance) You buy a put option at $292—your protection floor. If Microsoft crashes to $220, instead of losing $9,300, you're only down $2,100. Better yet, your insurance pays out $5,300+ in cash to buy shares at fire-sale prices. 2) The Short Call (Free Protection) You sell a call at $330—your profit ceiling. This premium pays for your put option, making the protection completely free. If Microsoft rallies above $330, you still capture all gains up to that level. Practice this weekly on paper trading accounts first. Master it, and you'll never again watch your portfolio evaporate while professionals profit from the chaos. Here's what it looks like in practise (with a MSFT chart):

Felix Prehn 🐶

98,931 просмотров • 5 месяцев назад

$365K profit while the programmer slept. This bot found a hole in volatility and turned it into a personal ATM. Let's be honest. If you're trying to trade on Polymarket based on news or intuition you're not a trader. You're food. I analyzed the distinct-baguette wallet. No genius analytics. No White House insiders. Just cold code exploiting a 3-cent error in the order book. How does he make money out of thin air? His profile: At the core of the algorithm lies a simple mathematical glitch called Arbitrage Loop. In a perfect world the price of YES and NO shares always adds up to $1.00. But when chaos hits the market during matches or BTC news liquidity breaks. The bot finds the moment when YES costs 48 cents and NO costs 49 cents. Entry sum: 97 cents. The script instantly buys both sides. It doesn't care who wins. It just waits for expiration and is guaranteed to get $1.00. Result: 3 cents of pure risk-free profit per dollar. Repeat this 15000 times a month and you get his balance. Math vs Human A human is physically incapable of replicating this. Your reaction from eye to brain to click: 0.4 seconds. Python script reaction: 0.005 seconds. By the time you see the price on screen it's already gone. You're looking at ghosts. Trying to outrun this bot manually is like trying to stop a train with your palm. You're simply paying his bills with your slippage. How to stop being liquidity? In 2026 you either write code or you're feed. But there's a third option. You don't need to learn C++ or rent a server in the same rack as the exchange. You just need the right entry. I found a gateway that allows copying the logic of such wallets. You stop playing guessing games and connect to the smart money flow. When the algorithm finds a hole in the price you enter alongside it. Automatically. Stop trading against machines. Stand on their side: While you were reading this text the glitch happened three more times. Someone took that money. Why not you?

Blaze

16,039 просмотров • 7 месяцев назад

In this order flow video I show an example of leaning against an LVN after the market has already given us a clear direction. Many traders think you can't add or enter this late into a move, but some of the most easy money trades I've ever taken (including this one) are when we have heavy supply hitting the bid while sellers keep reloading on the offer right below an LVN after a flush. I will say that it's not easy to enter this late into a move if you are only using price action. This is one of the superpowers of order flow. It makes this possible. You can get some really clean entries that barely get any drawdown with big potential reward. I only took shorts today and this absorption example near 62 was one of the spots I took shorts from today. Just adding that because some people will assume this is hindsight despite the fact that I crushed the market today. I hope you find some value in this. If you do then I'll be sure to share more order flow analysis with you in the future. 🫡

In this order flow video I show an example of leaning against an LVN after the market has already given us a clear direction. Many traders think you can't add or enter this late into a move, but some of the most easy money trades I've ever taken (including this one) are when we have heavy supply hitting the bid while sellers keep reloading on the offer right below an LVN after a flush. I will say that it's not easy to enter this late into a move if you are only using price action. This is one of the superpowers of order flow. It makes this possible. You can get some really clean entries that barely get any drawdown with big potential reward. I only took shorts today and this absorption example near 62 was one of the spots I took shorts from today. Just adding that because some people will assume this is hindsight despite the fact that I crushed the market today. I hope you find some value in this. If you do then I'll be sure to share more order flow analysis with you in the future. 🫡

Jester

12,627 просмотров • 8 месяцев назад

hedge funds extract their edge before the candle closes not from price, from what's moving behind it signal is called order flow toxicity every large informed trader disguises their order as retail noise - 40-80 small orders, timed to look random to a human, invisible. to an LSTM trained on cancel-to-fill ratios - readable in 400 milliseconds two sigma doesn't ask "will price go up?" - they ask "is someone with information buying right now, before the market reprices?" detection model is 3 layers: > input: bid-ask spread velocity, cancel-to-fill ratio, trade size entropy > hidden: LSTM over 500ms rolling window > output: toxicity score 0-1 above 0.67: informed flow detected. enter with it below 0.67: noise. skip or fade 74% directional accuracy. 11-minute avg hold. runs on any level 2 feed data is free - CBOE publishes it. architecture is in every ML textbook since 2012 they've been running this since you were drawing trendlines Bookmark it and add in your strategy bottleneck was never the data - it was the question you were asking

hedge funds extract their edge before the candle closes not from price, from what's moving behind it signal is called order flow toxicity every large informed trader disguises their order as retail noise - 40-80 small orders, timed to look random to a human, invisible. to an LSTM trained on cancel-to-fill ratios - readable in 400 milliseconds two sigma doesn't ask "will price go up?" - they ask "is someone with information buying right now, before the market reprices?" detection model is 3 layers: > input: bid-ask spread velocity, cancel-to-fill ratio, trade size entropy > hidden: LSTM over 500ms rolling window > output: toxicity score 0-1 above 0.67: informed flow detected. enter with it below 0.67: noise. skip or fade 74% directional accuracy. 11-minute avg hold. runs on any level 2 feed data is free - CBOE publishes it. architecture is in every ML textbook since 2012 they've been running this since you were drawing trendlines Bookmark it and add in your strategy bottleneck was never the data - it was the question you were asking

Livsun

11,425 просмотров • 2 месяцев назад

We've heard all y'all who are digging #BuryMeUpsideDown… Whether it's live at our shows or in comments here on our socials, I love seeing so many of y'all relating to this song… That's why I'm so fired up to share a new acoustic version from the studio OUT NOW wherever you get your music… Listen and watch the new music video: #BGNation

We've heard all y'all who are digging #BuryMeUpsideDown… Whether it's live at our shows or in comments here on our socials, I love seeing so many of y'all relating to this song… That's why I'm so fired up to share a new acoustic version from the studio OUT NOW wherever you get your music… Listen and watch the new music video: #BGNation

Brantley Gilbert

26,551 просмотров • 2 лет назад

"There's an incredible amount of leverage that's been taken out without cash flow able to service the debt" Nico Lechuga on why cash flow is what makes Bitcoin leverage survivable "Everybody has their own take on this, and we'll see what happens within the market. But if you're taking on any type of leverage, any type of debt, think about our own personal lives. If you buy a car, you buy a house and you're mortgaging that, you're taking out an interest loan, generally there's some degree of credit institution checking you to make sure that you have the cash flow to service the debt you've taken out" "When we're building businesses we think of risk vectors, and how those risk vectors potentially impact the business's chance of success. If you've introduced a risk vector, in this case leverage taken out against the business without having cash flow able to service it, then you can impair your business. This is designed by having uncorrelated businesses with good margins, sustainable cash flows. If you're taking out even a degree of leverage to buy Bitcoin, the only time you would ever do that is after you have the businesses and you have the cash flow" "Even if Bitcoin's price goes down, we see a drop from 126 to where we're at 65, 66 today, it doesn't matter, because you have the cash flow to service the debt. In the same way, when you buy a car and drive it off the lot, if you're paying with financing and the value drops 50% the day you drive it off the lot, you have a job and you can service that, so you're not impaired"

"There's an incredible amount of leverage that's been taken out without cash flow able to service the debt" Nico Lechuga on why cash flow is what makes Bitcoin leverage survivable "Everybody has their own take on this, and we'll see what happens within the market. But if you're taking on any type of leverage, any type of debt, think about our own personal lives. If you buy a car, you buy a house and you're mortgaging that, you're taking out an interest loan, generally there's some degree of credit institution checking you to make sure that you have the cash flow to service the debt you've taken out" "When we're building businesses we think of risk vectors, and how those risk vectors potentially impact the business's chance of success. If you've introduced a risk vector, in this case leverage taken out against the business without having cash flow able to service it, then you can impair your business. This is designed by having uncorrelated businesses with good margins, sustainable cash flows. If you're taking out even a degree of leverage to buy Bitcoin, the only time you would ever do that is after you have the businesses and you have the cash flow" "Even if Bitcoin's price goes down, we see a drop from 126 to where we're at 65, 66 today, it doesn't matter, because you have the cash flow to service the debt. In the same way, when you buy a car and drive it off the lot, if you're paying with financing and the value drops 50% the day you drive it off the lot, you have a job and you can service that, so you're not impaired"

The Wolf Of All Streets

30,854 просмотров • 26 дней назад

📊 Staking Analytics Just Got a Major Upgrade on Loky Terminal STAKE ARENA & STAKE GODS ARE HERE - The new dashboard gives you a granular look into staking across Genesis + OG agents — from top wallets to net flow dynamics. Here's what we're seeing: – Top Stakers by $ value – Dev vs Non-dev wallet activity – Daily staking vs unstaking flows – Net Stake Ratio (Genesis vs OG) – 24H + Weekly leaderboards – Virgen & Staker growth trends – Gamified insights you can act on 🟡 Staking Momentum Is Holding Strong Total stakers crossed 79,000 as of July 1st, 2025. Despite short-term dips, the weekly staker trend remains up, showing strong interest in Virtuals ecosystem participation. 📈 Genesis Net Stake Is Tightening Total stake has hit 24.15B, but net stake is flattening at 13.72B, showing ~43% of staked volume has been withdrawn. 🏆 Top 24H Movers $SIYA saw the biggest 24H spike with 567M staked by just 2 wallets — possibly a major whale entry. $WACH, $DARE, and $AURA continue to attract high wallet counts, confirming consistent community traction. 📊 OG vs Genesis Agent Dynamics OG and Genesis agents are neck-and-neck in net volume. Whale positioning continues to shape new staking flows. 🧠 Whale Activity Insights The top wallet staked $3.6M across BYTE. Wallets are increasingly diversifying across dozens of agents like WACH, SIYA, SOLACE, ROOM, OOPZ, etc. Some top stakers are now active across 30+ agents, signaling high conviction in ACP token launches. Unstaking Trends - Unstaking volume rose to 10.4B, highest so far. - Most visible in June’s last 10 days—likely synced with agent unlocks or short-term speculation. - Yet daily new stakers bounced back to 3.7K on July 1st, indicating rotational staking rather than exit. Key Takeaway The ecosystem is entering a more dynamic, rotational phase — high inflow from new stakers, rising whale concentration in top agents, and sharper patterns in staking/unstaking cycles. If you're building, tracking, or planning to stake smart— The Loky Terminal is all you need →

📊 Staking Analytics Just Got a Major Upgrade on Loky Terminal STAKE ARENA & STAKE GODS ARE HERE - The new dashboard gives you a granular look into staking across Genesis + OG agents — from top wallets to net flow dynamics. Here's what we're seeing: – Top Stakers by $ value – Dev vs Non-dev wallet activity – Daily staking vs unstaking flows – Net Stake Ratio (Genesis vs OG) – 24H + Weekly leaderboards – Virgen & Staker growth trends – Gamified insights you can act on 🟡 Staking Momentum Is Holding Strong Total stakers crossed 79,000 as of July 1st, 2025. Despite short-term dips, the weekly staker trend remains up, showing strong interest in Virtuals ecosystem participation. 📈 Genesis Net Stake Is Tightening Total stake has hit 24.15B, but net stake is flattening at 13.72B, showing ~43% of staked volume has been withdrawn. 🏆 Top 24H Movers $SIYA saw the biggest 24H spike with 567M staked by just 2 wallets — possibly a major whale entry. $WACH, $DARE, and $AURA continue to attract high wallet counts, confirming consistent community traction. 📊 OG vs Genesis Agent Dynamics OG and Genesis agents are neck-and-neck in net volume. Whale positioning continues to shape new staking flows. 🧠 Whale Activity Insights The top wallet staked $3.6M across BYTE. Wallets are increasingly diversifying across dozens of agents like WACH, SIYA, SOLACE, ROOM, OOPZ, etc. Some top stakers are now active across 30+ agents, signaling high conviction in ACP token launches. Unstaking Trends - Unstaking volume rose to 10.4B, highest so far. - Most visible in June’s last 10 days—likely synced with agent unlocks or short-term speculation. - Yet daily new stakers bounced back to 3.7K on July 1st, indicating rotational staking rather than exit. Key Takeaway The ecosystem is entering a more dynamic, rotational phase — high inflow from new stakers, rising whale concentration in top agents, and sharper patterns in staking/unstaking cycles. If you're building, tracking, or planning to stake smart— The Loky Terminal is all you need →

Loky | Agent Infra

24,557 просмотров • 1 год назад

It’s now been two months since I started collaborating with ZERO IKA 🗡️, and the journey has been nothing short of incredible. Working together has pushed me to level up even further, and the progress I’m seeing from everyone in the Dojo continues to be insanely rewarding. In my newest video, I break down 3 ETH longs - one on HTF, one on MTF, and one on LTF - walking through the exact thought process, why I took them, and how I managed each position. 👇 There’s a lot of value packed into this one… and a new announcement at the end. 😉 Dojo:

It’s now been two months since I started collaborating with ZERO IKA 🗡️, and the journey has been nothing short of incredible. Working together has pushed me to level up even further, and the progress I’m seeing from everyone in the Dojo continues to be insanely rewarding. In my newest video, I break down 3 ETH longs - one on HTF, one on MTF, and one on LTF - walking through the exact thought process, why I took them, and how I managed each position. 👇 There’s a lot of value packed into this one… and a new announcement at the end. 😉 Dojo:

MisterPA

14,537 просмотров • 8 месяцев назад

This team was down by 7 runs in the last inning. They made a comeback and scored the winning run by this young man stealing home. 👏 This is why as a catcher, you never throw the ball back to the pitcher from your knees with runners on base. You always stand and take a look at the runner, ESPECIALLY with a runner on third and in this scenario, the game winning run. That’s poor coaching imho. It’s the little fundamentals that are coached in practice that add up to whether a team is prepared or not for the games. Where was the coach telling his catcher to keep an eye on the runner at third?

This team was down by 7 runs in the last inning. They made a comeback and scored the winning run by this young man stealing home. 👏 This is why as a catcher, you never throw the ball back to the pitcher from your knees with runners on base. You always stand and take a look at the runner, ESPECIALLY with a runner on third and in this scenario, the game winning run. That’s poor coaching imho. It’s the little fundamentals that are coached in practice that add up to whether a team is prepared or not for the games. Where was the coach telling his catcher to keep an eye on the runner at third?

👉M-Û-R-Č-H👈

87,402 просмотров • 1 месяц назад

getting very close now. the new build for @multiplierfun is coming together. proud of the craft in the video (sound on) gameplay spend → spot market flow → launchpads, deployers and communities capture that flow as buy pressure (the peoples market maker) For players: * shoot to win spot market positions. we buy the tokens / LPs when a user wins. * users gets fair speculation + big upside chance from token. do what you want with it. * create buy pressure for your own bags while having fun. entertainment that moves markets. works with any volatile asset or position. built on @RaydiumProtocol, streaming soon with great ppl like Kay and a bunch of great developers deploying the activity bar = all live transactions by real users testing rn lemme know if you want to try it out on mainnet this week

getting very close now. the new build for @multiplierfun is coming together. proud of the craft in the video (sound on) gameplay spend → spot market flow → launchpads, deployers and communities capture that flow as buy pressure (the peoples market maker) For players: * shoot to win spot market positions. we buy the tokens / LPs when a user wins. * users gets fair speculation + big upside chance from token. do what you want with it. * create buy pressure for your own bags while having fun. entertainment that moves markets. works with any volatile asset or position. built on @RaydiumProtocol, streaming soon with great ppl like Kay and a bunch of great developers deploying the activity bar = all live transactions by real users testing rn lemme know if you want to try it out on mainnet this week

Lauris

19,248 просмотров • 11 месяцев назад

When I’m trying to improve the user experience of my applications, one of the most valuable things is being able to see an entire user flow as a storyboard. Not just one screen or screenshot at a time. This is something I love using the `/visual-plan` skill for. You can describe any flow you want, and the agent will look through your code and wireframe out a storyboard of what the flow looks like. Then you can visualize the steps in a simplified way and spot areas to improve. Recently, I found that in certain flows we were still asking for organizations, even though I thought I had gotten rid of that and made it automatic. A quick storyboard let me see all the different code paths in a simple, visual, intuitive way. Spot the areas of the flow I didn’t want. And have the agent fix it. Sign up, onboarding, and setup flows are usually some of the most important experiences in your app. And usually the least looked at. Especially because it can be hard to reproduce every flow, for every situation, for every user type, feature flag, or whatever else you have. The `/visual-plan` skill lets you visualize any part of your code. Either to understand the current state, plan out a new state, or recap updates that were made. I’m pretty addicted to this skill. I use it for a lot of other things too, so let me know if you want to see videos on those. And of course it’s all open source. You can grab it on my GitHub. I'll link to it in the thread. If you try it, let me know your feedback.

When I’m trying to improve the user experience of my applications, one of the most valuable things is being able to see an entire user flow as a storyboard. Not just one screen or screenshot at a time. This is something I love using the `/visual-plan` skill for. You can describe any flow you want, and the agent will look through your code and wireframe out a storyboard of what the flow looks like. Then you can visualize the steps in a simplified way and spot areas to improve. Recently, I found that in certain flows we were still asking for organizations, even though I thought I had gotten rid of that and made it automatic. A quick storyboard let me see all the different code paths in a simple, visual, intuitive way. Spot the areas of the flow I didn’t want. And have the agent fix it. Sign up, onboarding, and setup flows are usually some of the most important experiences in your app. And usually the least looked at. Especially because it can be hard to reproduce every flow, for every situation, for every user type, feature flag, or whatever else you have. The `/visual-plan` skill lets you visualize any part of your code. Either to understand the current state, plan out a new state, or recap updates that were made. I’m pretty addicted to this skill. I use it for a lot of other things too, so let me know if you want to see videos on those. And of course it’s all open source. You can grab it on my GitHub. I'll link to it in the thread. If you try it, let me know your feedback.

Steve (Builder.io)

148,214 просмотров • 1 месяц назад