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CryptoZeno

Verified Creator on #BinanceSquare #CoinMarketCap and #CryptoQuant | On Chain Research and Market Insights with Smart Trading Signals
ESPORTS Holder
ESPORTS Holder
High-Frequency Trader
5.1 Years
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7.6K+ Followers
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The Valuable Bitcoin Club Might Not Be Built Around Bitcoin At All Bedrock caught my attention for a different reason than most BTCfi projects. Nearly every protocol competes by offering products. Bedrock 2.0 is gradually building something closer to an ecosystem where participation itself becomes valuable. That distinction matters because products can be copied, while aligned communities with meaningful incentives are much harder to replicate. The role of @Bedrock and uniBTC becomes more interesting when viewed through that lens. Institutional-grade vaults, structured strategies, and productive Bitcoin are important pieces of the puzzle, but they are not the entire story. The deeper shift is how $BR is being woven into the experience. Instead of existing as a token that sits on the sidelines, $BR is increasingly connected to tiers, benefits, ecosystem positioning, and long-term engagement. The result is a framework where contribution and participation become part of the value equation rather than an afterthought. Many crypto projects focus on attracting temporary liquidity. Bedrock 2.0 appears focused on creating reasons to stay. That difference often determines which ecosystems remain relevant years later and which disappear once incentives fade. If the next phase of BTCfi is built around stronger alignment between users, capital, and platform growth, then #Bedrock may be developing one of the more unusual experiments in the sector today.
The Valuable Bitcoin Club Might Not Be Built Around Bitcoin At All
Bedrock caught my attention for a different reason than most BTCfi projects. Nearly every protocol competes by offering products. Bedrock 2.0 is gradually building something closer to an ecosystem where participation itself becomes valuable. That distinction matters because products can be copied, while aligned communities with meaningful incentives are much harder to replicate.
The role of @Bedrock and uniBTC becomes more interesting when viewed through that lens. Institutional-grade vaults, structured strategies, and productive Bitcoin are important pieces of the puzzle, but they are not the entire story. The deeper shift is how $BR is being woven into the experience. Instead of existing as a token that sits on the sidelines, $BR is increasingly connected to tiers, benefits, ecosystem positioning, and long-term engagement. The result is a framework where contribution and participation become part of the value equation rather than an afterthought.
Many crypto projects focus on attracting temporary liquidity. Bedrock 2.0 appears focused on creating reasons to stay. That difference often determines which ecosystems remain relevant years later and which disappear once incentives fade. If the next phase of BTCfi is built around stronger alignment between users, capital, and platform growth, then #Bedrock may be developing one of the more unusual experiments in the sector today.
PINNED
The Valuable Part Of A Token Often Exists Before The Token Does People love studying charts. Support levels, resistance zones, volume spikes, breakouts. Entire communities spend months analyzing what happens after a token becomes visible to everyone. What gets ignored is the period before that. Before the chart. Before the listings. Before the endless predictions and threads explaining why something is about to go up or down. That invisible phase is where some of crypto's most asymmetric opportunities are created. That is why the pre-launch side of @GeniusOfficial grabbed my attention when looking deeper into $GENIUS platforms compete to help users react faster to information that is already public. Genius is also building around the idea that discovering something before it becomes obvious can be just as important as trading it. #genius sits in an unusual position because it is not only about accessing markets that already exist. It also opens the door to markets that are still forming. In crypto, the crowd usually arrives when the story becomes popular. The biggest advantage often comes from noticing the story before the crowd even knows there is one.
The Valuable Part Of A Token Often Exists Before The Token Does

People love studying charts. Support levels, resistance zones, volume spikes, breakouts. Entire communities spend months analyzing what happens after a token becomes visible to everyone.

What gets ignored is the period before that. Before the chart. Before the listings. Before the endless predictions and threads explaining why something is about to go up or down. That invisible phase is where some of crypto's most asymmetric opportunities are created.

That is why the pre-launch side of @GeniusOfficial grabbed my attention when looking deeper into $GENIUS platforms compete to help users react faster to information that is already public. Genius is also building around the idea that discovering something before it becomes obvious can be just as important as trading it.

#genius sits in an unusual position because it is not only about accessing markets that already exist. It also opens the door to markets that are still forming. In crypto, the crowd usually arrives when the story becomes popular. The biggest advantage often comes from noticing the story before the crowd even knows there is one.
The $BTC CVD indicator shows buying by brown whales. They have started buying again following the decline. Purple whales have also started buying. The whales are buying again at low prices after causing the decline. The CVD indicator shows an increase in net buying compared to the 28th. However, the price of $BTC has fallen. They are causing the decline and taking $BTC from retail investors. {future}(BTCUSDT)
The $BTC CVD indicator shows buying by brown whales.

They have started buying again following the decline. Purple whales have also started buying.

The whales are buying again at low prices after causing the decline.

The CVD indicator shows an increase in net buying compared to the 28th. However, the price of $BTC has fallen.

They are causing the decline and taking $BTC from retail investors.
$BTC Oder Book Pressure You know we're reaching the tentative bottom "range" when OB pressure gets this heavy. Think we start to slow down in the 64-66k range. Possible H&S pivot soon. {future}(BTCUSDT)
$BTC Oder Book Pressure

You know we're reaching the tentative bottom "range" when OB pressure gets this heavy.

Think we start to slow down in the 64-66k range. Possible H&S pivot soon.
Article
My Reversal Trading StrategyMy job everyday is to come to the table, look around and decide where could certain hands move price or force itself into the books in order to move price. At least on the lower time frames I do this through tools like open interest, funding rates, live liquidations, delta, plus some intuition from repeatedly seeing the same patterns of liquidity repeated after years of watching the same market. These are the tools which give me the ability across a fragmented BTC market to identify where people are positioning, which side they are on, and which moves could force their hand. I like to frame my thinking around a single quesiton before getting into a position: Has the market priced this in yet? If it hasn't been priced in then there's edge in what i'm trying to execute from. If I see the market has priced it in already then the edge has diminished and the trade is no longer there. A good example of this is when looking for trapped traders, specifically looking at whether open interest has decreased or not to spot whether those "trapped positions" have forced their position back into the market. The end goal is to position myself into the market early enough to exploit something Ive seen which I believe the market hasn't priced in yet. Another great example of this, is through understanding liquidity in particular how thin books can allow for exaggerated price movements. If you pair that alongside trapped positioning you will very often get a very nice mean reversion setup. A common misconception is that "thin books" can only be identified in real time and through looking at the dom. This is not true. Using volume candles or looking at how far price moved in relation to how much volume pushed it can help answer this question too. Alongside identifying surges in open interest to help identify trapped positions. It's about finding your thesis for why you should get paid from the trade you want to take, then going to the technical board and figuring out which tools will help identify this in real time. Don't pick random tools and use them because they look fancy, think about where your edge comes from (at route level) then decide which tools allow you to spot that mispriced event faster and in a more reliable manner than anyone else could. A fast move into a predictable stop/tp zone that happens unusually fast relative to local regime is one thing I commonly look for. These moves are often engineered, meaning someone/group of people have forced price to a certain local level for liquidity purposes. > Force price up > Stops/liquidations triggered > Limit sell orders filled > No real conviction > Price reverses This requires some level of intuition to reliably identify, but in essence upon a break of a level I want to see excessive buying in the form of aggressive stops being hit or liquidations being forced into the book. Both offer up opportunity for opposing side limits to be filled, and if the move was manufactured or deliberately pushed up in this manner, theres no real conviction behind it, allows for a easy reversal. It all comes down the fact that if I know why i'm looking for something at a certain location, that can be transferred over much easier than just punting random levels without reasoning. Think about who you are trading against and how you can profit off that info before it is priced in, you are in the research business. #CryptoZeno #LABTokenPlummets77PctErases$6B

My Reversal Trading Strategy

My job everyday is to come to the table, look around and decide where could certain hands move price or force itself into the books in order to move price.
At least on the lower time frames I do this through tools like open interest, funding rates, live liquidations, delta, plus some intuition from repeatedly seeing the same patterns of liquidity repeated after years of watching the same market. These are the tools which give me the ability across a fragmented BTC market to identify where people are positioning, which side they are on, and which moves could force their hand.
I like to frame my thinking around a single quesiton before getting into a position:
Has the market priced this in yet?
If it hasn't been priced in then there's edge in what i'm trying to execute from. If I see the market has priced it in already then the edge has diminished and the trade is no longer there.
A good example of this is when looking for trapped traders, specifically looking at whether open interest has decreased or not to spot whether those "trapped positions" have forced their position back into the market.
The end goal is to position myself into the market early enough to exploit something Ive seen which I believe the market hasn't priced in yet.
Another great example of this, is through understanding liquidity in particular how thin books can allow for exaggerated price movements. If you pair that alongside trapped positioning you will very often get a very nice mean reversion setup.
A common misconception is that "thin books" can only be identified in real time and through looking at the dom. This is not true. Using volume candles or looking at how far price moved in relation to how much volume pushed it can help answer this question too. Alongside identifying surges in open interest to help identify trapped positions.
It's about finding your thesis for why you should get paid from the trade you want to take, then going to the technical board and figuring out which tools will help identify this in real time.
Don't pick random tools and use them because they look fancy, think about where your edge comes from (at route level) then decide which tools allow you to spot that mispriced event faster and in a more reliable manner than anyone else could.
A fast move into a predictable stop/tp zone that happens unusually fast relative to local regime is one thing I commonly look for. These moves are often engineered, meaning someone/group of people have forced price to a certain local level for liquidity purposes.
> Force price up
> Stops/liquidations triggered
> Limit sell orders filled
> No real conviction
> Price reverses
This requires some level of intuition to reliably identify, but in essence upon a break of a level I want to see excessive buying in the form of aggressive stops being hit or liquidations being forced into the book. Both offer up opportunity for opposing side limits to be filled, and if the move was manufactured or deliberately pushed up in this manner, theres no real conviction behind it, allows for a easy reversal.
It all comes down the fact that if I know why i'm looking for something at a certain location, that can be transferred over much easier than just punting random levels without reasoning.
Think about who you are trading against and how you can profit off that info before it is priced in, you are in the research business.
#CryptoZeno #LABTokenPlummets77PctErases$6B
Article
VWAP Masterclass: Indicators, Strategy and Trade ExamplesVWAP doesn't need to be complicated. I'll use my 9 years of trading experience to give you the most practical VWAP guide on the internet. This is a full guide with real examples, not just theory. Let’s begin. Lesson 1: What is VWAP? VWAP = Volume Weighted Average Price Instead of treating every price move equally, it weights the price by trading volume to show you the real average price of the day Think of it as an anchor price that the market is gravitating around Here’s what VWAP looks like on the charts: The blue line is VWAP: the true average price adjusted for volumeThe purple bands expand 1 standard deviation above (upper band) and 1 standard deviation below (lower band) the VWAP to show how far the price is stretching from that average Why VWAP matters Random spikes/dumps can trick you if no volume is behind them VWAP filters that noise and shows where the real market commitment is Example: if 90% of trades happen at $10 but the price briefly spikes to $12, VWAP stays near $10. Reflecting the fact that the upward move was only a quick deviation from the overall trend. Here are my TradingView settings for VWAP Anchor: Session (resets daily)Bands: ±1 standard deviationStyle: VWAP in light blue and bands in dark blue/ purple VWAP acts as the anchor price for the day, while the bands show how far the price is deviating from that anchor This is our base before applying VWAP in real trades 3 Key Signals of VWAP When it comes to VWAP, isolate 3 key signals for your analysis. 1. Position of VWAP <> Price: Breakouts or breakdowns? Price trending above VWAP = strong uptrend = favours breakouts (momentum longs)Price trending below VWAP = strong downtrend = favours breakdowns (momentum shorts) BONUS: We can also consider the position of price relative to the lower and upper bands. In an uptrend, if the price is above both the VWAP and the upper band, there is even more strength in the uptrend. Similarly, in a downtrend, if the price is below both the VWAP and the lower band, there is more strength in the downtrend. 2. The slope of the VWAP: Is price trending or ranging? This shows you the direction and conviction behind a move. The steeper the slope, the more aggressive a trend is, making it simpler to take trades in that direction. Steeper slope = price trending = favours momentum tradesFlat slope = price ranging = favours reversal trades BONUS: another observation we can make with the slope of the VWAP is the number of crossovers. How many times does the VWAP cross over the price? This is an additional confluence point whereby fewer crossovers favour momentum. 3. VWAP Bands = Is continuation or reversal more likely? When bands widen, it means price is pulling away from VWAP with momentum. When bands tighten, it means the market is hesitating, and momentum is fading. Wide bands = strength behind the move = favours continuation = trade momentumTight bands = weakness behind the move = favours reversals = trade mean reversion Lesson 1: VWAP Summary VWAP (Volume Weighted Average Price) = the true average price of the day, weighted by volume, not just price movementActs as an anchor price the market gravitates around, filtering out low-volume spikes and noiseThe bands sit ±1 standard deviation above/below VWAP, showing how far the price is stretching from the average3 Key Signals:Price vs. VWAP. Above = uptrend, below = downtrendSlope. Steeper = price trending, flat = price rangingBandwidth. Wide = strength behind the move, tight = weakness behind the move BONUS: Find Out Your Trading Level Just a quick note here to say I recommend that traders introduce indicators like VWAP when they reach level 3 in my trader roadmap. If you want: To find out your personal trading levelA personalised gameplan from my team on how to improve (for free) Lesson 2: VWAP for Breakout Strategies When you take a momentum trade, you are essentially betting on a continuation of the trend In a breakout strategy, that is, a continued uptrend In a breakdown strategy, that is, a continued downtrend So we look to the VWAP for clues of strength in the trend. Recapping what was covered in the last section: 1. Directional bias Price trending above VWAP = strong uptrend = favours breakouts (momentum longs)Price trending below VWAP = strong downtrend = favours breakdowns (momentum shorts) 2. Strategy bias Steeper VWAP slope = price trending = favours momentum tradesWide VWAP bands = strength behind the move = favours continuation = trade momentum Now, let’s consider some real trade examples Super clean breakdown trade from Brandon here Directional bias is a downtrend with price trending below both the VWAP and the lower band too In terms of strategy bias, we can see that right as price approaches the previous day's low, the slope of the VWAP steepens, and the bands of the VWAP widen This example is from coach Josh on my team Some traders may have thought they ‘missed’ the move here. However, in crypto, a lot of the time, the price continues to run higher By observing the steep slope of the VWAP and the continued widening of the bands, Josh was able to grab a momentum trade in this uptrend (as indicated by price trending above both VWAP and the upper band). Lesson 2: VWAP for Breakout Strategies Summary Momentum trades = betting on trend continuation. Uptrend in a breakout, downtrend in a breakdownLook to VWAP for signs of trend strength before enteringTwo key signals that favour continuation:1. Steeper VWAP slope = price trending = favours momentum trades2. Wide VWAP bands = strength behind the move = favours continuation = trade momentumPrice position confirms direction. Above VWAP for longs, below for shorts Lesson 3: VWAP for Reversal Strategies When you take a reversal trade, you are basically betting on a reversal of the trend So in the VWAP, we want to see evidence of weakening of the trend. Strategy bias: Flat slope = price ranging = favours reversal tradesTight bands = weakness behind the move = favours reversals = trade mean reversion VWAP is telling you that the market is choppy, and this is where reversal trades perform best Now, let’s consider some real trade examples Brandon captured an excellent reversal short here. You can see that the bands of the VWAP are tight, forming a close range and the slope of the VWAP is almost entirely flat In this trade example, Kim avoided the fakeout Despite the price moving higher in what may have looked like a continuation play, he observed that the VWAP stayed in a tight range with a flat slope. Notice in this example that there are also multiple crossovers of the VWAP with the price He was able to appropriately classify this as a reversal play #CryptoZeno #USMayADPJobsExceedExpectations

VWAP Masterclass: Indicators, Strategy and Trade Examples

VWAP doesn't need to be complicated.
I'll use my 9 years of trading experience to give you the most practical VWAP guide on the internet.
This is a full guide with real examples, not just theory.
Let’s begin.
Lesson 1: What is VWAP?
VWAP = Volume Weighted Average Price
Instead of treating every price move equally, it weights the price by trading volume to show you the real average price of the day
Think of it as an anchor price that the market is gravitating around
Here’s what VWAP looks like on the charts:
The blue line is VWAP: the true average price adjusted for volumeThe purple bands expand 1 standard deviation above (upper band) and 1 standard deviation below (lower band) the VWAP to show how far the price is stretching from that average
Why VWAP matters
Random spikes/dumps can trick you if no volume is behind them
VWAP filters that noise and shows where the real market commitment is
Example: if 90% of trades happen at $10 but the price briefly spikes to $12, VWAP stays near $10. Reflecting the fact that the upward move was only a quick deviation from the overall trend.
Here are my TradingView settings for VWAP
Anchor: Session (resets daily)Bands: ±1 standard deviationStyle: VWAP in light blue and bands in dark blue/ purple
VWAP acts as the anchor price for the day, while the bands show how far the price is deviating from that anchor
This is our base before applying VWAP in real trades
3 Key Signals of VWAP
When it comes to VWAP, isolate 3 key signals for your analysis.
1. Position of VWAP <> Price: Breakouts or breakdowns?
Price trending above VWAP = strong uptrend = favours breakouts (momentum longs)Price trending below VWAP = strong downtrend = favours breakdowns (momentum shorts)
BONUS: We can also consider the position of price relative to the lower and upper bands. In an uptrend, if the price is above both the VWAP and the upper band, there is even more strength in the uptrend. Similarly, in a downtrend, if the price is below both the VWAP and the lower band, there is more strength in the downtrend.
2. The slope of the VWAP: Is price trending or ranging?
This shows you the direction and conviction behind a move. The steeper the slope, the more aggressive a trend is, making it simpler to take trades in that direction.
Steeper slope = price trending = favours momentum tradesFlat slope = price ranging = favours reversal trades
BONUS: another observation we can make with the slope of the VWAP is the number of crossovers. How many times does the VWAP cross over the price? This is an additional confluence point whereby fewer crossovers favour momentum.
3. VWAP Bands = Is continuation or reversal more likely?
When bands widen, it means price is pulling away from VWAP with momentum. When bands tighten, it means the market is hesitating, and momentum is fading.
Wide bands = strength behind the move = favours continuation = trade momentumTight bands = weakness behind the move = favours reversals = trade mean reversion
Lesson 1: VWAP Summary
VWAP (Volume Weighted Average Price) = the true average price of the day, weighted by volume, not just price movementActs as an anchor price the market gravitates around, filtering out low-volume spikes and noiseThe bands sit ±1 standard deviation above/below VWAP, showing how far the price is stretching from the average3 Key Signals:Price vs. VWAP. Above = uptrend, below = downtrendSlope. Steeper = price trending, flat = price rangingBandwidth. Wide = strength behind the move, tight = weakness behind the move
BONUS: Find Out Your Trading Level
Just a quick note here to say I recommend that traders introduce indicators like VWAP when they reach level 3 in my trader roadmap.
If you want:
To find out your personal trading levelA personalised gameplan from my team on how to improve (for free)
Lesson 2: VWAP for Breakout Strategies
When you take a momentum trade, you are essentially betting on a continuation of the trend
In a breakout strategy, that is, a continued uptrend
In a breakdown strategy, that is, a continued downtrend
So we look to the VWAP for clues of strength in the trend. Recapping what was covered in the last section:
1. Directional bias
Price trending above VWAP = strong uptrend = favours breakouts (momentum longs)Price trending below VWAP = strong downtrend = favours breakdowns (momentum shorts)
2. Strategy bias
Steeper VWAP slope = price trending = favours momentum tradesWide VWAP bands = strength behind the move = favours continuation = trade momentum
Now, let’s consider some real trade examples
Super clean breakdown trade from Brandon here
Directional bias is a downtrend with price trending below both the VWAP and the lower band too
In terms of strategy bias, we can see that right as price approaches the previous day's low, the slope of the VWAP steepens, and the bands of the VWAP widen
This example is from coach Josh on my team
Some traders may have thought they ‘missed’ the move here. However, in crypto, a lot of the time, the price continues to run higher
By observing the steep slope of the VWAP and the continued widening of the bands, Josh was able to grab a momentum trade in this uptrend (as indicated by price trending above both VWAP and the upper band).
Lesson 2: VWAP for Breakout Strategies Summary
Momentum trades = betting on trend continuation. Uptrend in a breakout, downtrend in a breakdownLook to VWAP for signs of trend strength before enteringTwo key signals that favour continuation:1. Steeper VWAP slope = price trending = favours momentum trades2. Wide VWAP bands = strength behind the move = favours continuation = trade momentumPrice position confirms direction. Above VWAP for longs, below for shorts
Lesson 3: VWAP for Reversal Strategies
When you take a reversal trade, you are basically betting on a reversal of the trend
So in the VWAP, we want to see evidence of weakening of the trend.
Strategy bias:
Flat slope = price ranging = favours reversal tradesTight bands = weakness behind the move = favours reversals = trade mean reversion
VWAP is telling you that the market is choppy, and this is where reversal trades perform best
Now, let’s consider some real trade examples
Brandon captured an excellent reversal short here.
You can see that the bands of the VWAP are tight, forming a close range and the slope of the VWAP is almost entirely flat
In this trade example, Kim avoided the fakeout
Despite the price moving higher in what may have looked like a continuation play, he observed that the VWAP stayed in a tight range with a flat slope. Notice in this example that there are also multiple crossovers of the VWAP with the price
He was able to appropriately classify this as a reversal play
#CryptoZeno #USMayADPJobsExceedExpectations
A college dropout built a $100 MILLION a year empire just by stealing tweets In 2011 a 19 year old kid from Brooklyn named Elliot Tebele was working at his brother's wholesale electronics company and started posting photos of vintage cars on Tumblr in his spare time He noticed that cheeky captions made his posts perform way better, so he switched to taking screenshots of Twitter jokes and reposting them on Instagram The account was named "fuckjerry" because he was watching Seinfeld in the background when he made it Within a few years the biggest celebrities like Madonna, Kim Kardashian, Tom Brady and Justin Bieber were all following it By 2017 the account had 12 million followers and was charging $30,000 per post from brands like Burger King, Comedy Central and Subway Tebele dropped out of Hunter College in his second year and built a marketing company called Jerry Media that ran 30 side accounts, including Beige Cardigan run by his wife, the famous Dude With Sign and the world record Instagram Egg Every single one of those accounts mostly just screenshotted other people's tweets and posted them with the username cropped out In 2016 Tebele turned the meme account into a card game called What Do You Meme and the Kickstarter raised $229,000 in the first 4 hours By 2019 his company was charging $75,000 for a single Instagram post and $25,000 for a swipe up story Then the company got hired to do the marketing for Fyre Festival When the festival collapsed, Jerry Media used the footage they filmed behind the scenes to make the Netflix documentary about how it all fell apart Two different filmmakers sued them claiming their footage was used without permission Today his parent company is called Relatable, has 80 employees and does over $100 million a year selling card games and toys Forbes ranked Tebele the 7th highest paid creator in the world in 2023, with $30 million in earnings that year The guy who built one of the biggest media empires on the internet has never written a single one of the jokes that made him rich
A college dropout built a $100 MILLION a year empire just by stealing tweets

In 2011 a 19 year old kid from Brooklyn named Elliot Tebele was working at his brother's wholesale electronics company and started posting photos of vintage cars on Tumblr in his spare time

He noticed that cheeky captions made his posts perform way better, so he switched to taking screenshots of Twitter jokes and reposting them on Instagram

The account was named "fuckjerry" because he was watching Seinfeld in the background when he made it

Within a few years the biggest celebrities like Madonna, Kim Kardashian, Tom Brady and Justin Bieber were all following it

By 2017 the account had 12 million followers and was charging $30,000 per post from brands like Burger King, Comedy Central and Subway

Tebele dropped out of Hunter College in his second year and built a marketing company called Jerry Media that ran 30 side accounts, including Beige Cardigan run by his wife, the famous Dude With Sign and the world record Instagram Egg

Every single one of those accounts mostly just screenshotted other people's tweets and posted them with the username cropped out

In 2016 Tebele turned the meme account into a card game called What Do You Meme and the Kickstarter raised $229,000 in the first 4 hours

By 2019 his company was charging $75,000 for a single Instagram post and $25,000 for a swipe up story

Then the company got hired to do the marketing for Fyre Festival

When the festival collapsed, Jerry Media used the footage they filmed behind the scenes to make the Netflix documentary about how it all fell apart

Two different filmmakers sued them claiming their footage was used without permission

Today his parent company is called Relatable, has 80 employees and does over $100 million a year selling card games and toys

Forbes ranked Tebele the 7th highest paid creator in the world in 2023, with $30 million in earnings that year

The guy who built one of the biggest media empires on the internet has never written a single one of the jokes that made him rich
A broke 26 year old with no job traded a red paperclip for a house. He never spent a dollar. > July 2005, Kyle MacDonald was unemployed in Montreal and tired of paying rent. > He looked at a red paperclip on his desk and posted it on Craigslist. Asking if anyone wanted to trade something bigger. > Two women in Vancouver offered him a pen shaped like a fish. He flew there to make the trade. > The fish pen became a hand sculpted doorknob in Seattle. > The doorknob became a camping stove in Massachusetts. > The stove became a Honda generator in California. > The generator became an instant party kit. Empty keg, beer IOU, neon Budweiser sign. > The party kit became a Ski Doo snowmobile. > The snowmobile became a two person trip to Yahk, British Columbia. > The trip became a box truck. The truck became a recording contract. The contract became a year of free rent in Phoenix. > The year of rent became an afternoon with Alice Cooper. > The afternoon with Alice Cooper became a KISS snow globe. > Everyone called him insane. He had just traded a music legend for a snow globe. > The snow globe became a paid speaking role in a Corbin Bernsen movie. > Turns out Bernsen owned 6,000 snow globes and wanted the KISS one bad enough to trade a part in his next film for it. > The movie role became a two story house at 503 Main Street, Kipling, Saskatchewan. > The town offered the house in exchange for the role. Citizens of Kipling auditioned for the part. > 14 trades. 12 months and zero dollars spent. > CBC covered it. He got flown to Japan to appear on game shows. Random House published a book in 14 languages. He ended up giving a TED Talk in Vienna. > Kipling built the world's largest red paperclip sculpture. > Guinness gave him the record for Most Successful Internet Trade. He didn't keep the house. He gave it back to the town. It's a cafe now called the Paperclip Cottage. The red paperclip was never about the paperclip. #CryptoZeno #StrategyFallsOutOfTop200US
A broke 26 year old with no job traded a red paperclip for a house. He never spent a dollar.

> July 2005, Kyle MacDonald was unemployed in Montreal and tired of paying rent.

> He looked at a red paperclip on his desk and posted it on Craigslist. Asking if anyone wanted to trade something bigger.

> Two women in Vancouver offered him a pen shaped like a fish. He flew there to make the trade.

> The fish pen became a hand sculpted doorknob in Seattle.

> The doorknob became a camping stove in Massachusetts.

> The stove became a Honda generator in California.

> The generator became an instant party kit. Empty keg, beer IOU, neon Budweiser sign.

> The party kit became a Ski Doo snowmobile.

> The snowmobile became a two person trip to Yahk, British Columbia.

> The trip became a box truck. The truck became a recording contract. The contract became a year of free rent in Phoenix.

> The year of rent became an afternoon with Alice Cooper.

> The afternoon with Alice Cooper became a KISS snow globe.

> Everyone called him insane. He had just traded a music legend for a snow globe.

> The snow globe became a paid speaking role in a Corbin Bernsen movie.

> Turns out Bernsen owned 6,000 snow globes and wanted the KISS one bad enough to trade a part in his next film for it.

> The movie role became a two story house at 503 Main Street, Kipling, Saskatchewan.

> The town offered the house in exchange for the role. Citizens of Kipling auditioned for the part.

> 14 trades. 12 months and zero dollars spent.

> CBC covered it. He got flown to Japan to appear on game shows. Random House published a book in 14 languages. He ended up giving a TED Talk in Vienna.

> Kipling built the world's largest red paperclip sculpture.

> Guinness gave him the record for Most Successful Internet Trade.

He didn't keep the house. He gave it back to the town. It's a cafe now called the Paperclip Cottage.
The red paperclip was never about the paperclip.
#CryptoZeno #StrategyFallsOutOfTop200US
Article
OpenLedger Reminds Me Of Why Airports Charge So Much For A Cup Of CoffeeThe first time I paid an absurd price for coffee inside an airport, I thought it was a scam. Later I realized people were not paying for coffee. They were paying for access to a location where attention, movement, and opportunity were already concentrated. The drink was almost secondary. The environment was the real product. That idea came back to me while thinking about #OpenLedger - A lot of discussions around AI focus on the assets themselves. Models, datasets, applications, agents. Yet history shows that the biggest value often accumulates around the places where activity converges rather than the individual products moving through those places. This is partly why @Openledger caught my interest from a different angle. Instead of viewing the ecosystem as a collection of separate tools, I started viewing it as a place where different participants may eventually gather around shared infrastructure. Contributors, builders, applications, and users all create value independently, but the network connecting them can become valuable for reasons that have little to do with any single participant. The interesting part is that successful hubs tend to become stronger as more activity passes through them. Airports, ports, financial exchanges, and major marketplaces all followed a similar pattern. Their importance came less from what they produced themselves and more from their position within larger flows of activity. That is why I keep an eye on $OPEN - The long term opportunity may not come from being another AI project competing for attention. It may come from becoming a place where different forms of value repeatedly intersect. History has shown that the intersections are often worth far more than the individual roads leading into them.

OpenLedger Reminds Me Of Why Airports Charge So Much For A Cup Of Coffee

The first time I paid an absurd price for coffee inside an airport, I thought it was a scam. Later I realized people were not paying for coffee. They were paying for access to a location where attention, movement, and opportunity were already concentrated. The drink was almost secondary. The environment was the real product.
That idea came back to me while thinking about #OpenLedger - A lot of discussions around AI focus on the assets themselves. Models, datasets, applications, agents. Yet history shows that the biggest value often accumulates around the places where activity converges rather than the individual products moving through those places.
This is partly why @OpenLedger caught my interest from a different angle. Instead of viewing the ecosystem as a collection of separate tools, I started viewing it as a place where different participants may eventually gather around shared infrastructure. Contributors, builders, applications, and users all create value independently, but the network connecting them can become valuable for reasons that have little to do with any single participant.
The interesting part is that successful hubs tend to become stronger as more activity passes through them. Airports, ports, financial exchanges, and major marketplaces all followed a similar pattern. Their importance came less from what they produced themselves and more from their position within larger flows of activity.
That is why I keep an eye on $OPEN - The long term opportunity may not come from being another AI project competing for attention. It may come from becoming a place where different forms of value repeatedly intersect. History has shown that the intersections are often worth far more than the individual roads leading into them.
The Next Valuable Asset Might Be Something People Can’t Even See A strange thing about the digital world is that the assets creating the biggest value are becoming increasingly invisible. A factory can be photographed. A building can be visited. Even a piece of land has clear boundaries. Yet some of the resources shaping modern technology exist almost entirely out of sight. Collections of knowledge, specialized datasets, domain expertise, and information structures now influence entire industries without ever being physically visible. That is partly why @Openledger keeps catching my attention. The idea behind $OPEN pushes the conversation toward something many people overlook: where intelligence actually comes from. Every AI output begins somewhere. Behind every useful result sits information that had to be gathered, organized, refined, and made usable long before an answer appears on a screen. Makes #OpenLedger interesting is that it treats knowledge as an asset worth tracking rather than a resource that simply disappears into the background. As AI continues expanding into more areas of life, understanding the origin and value of information may become just as important as the technology built on top of it.
The Next Valuable Asset Might Be Something People Can’t Even See

A strange thing about the digital world is that the assets creating the biggest value are becoming increasingly invisible. A factory can be photographed. A building can be visited. Even a piece of land has clear boundaries. Yet some of the resources shaping modern technology exist almost entirely out of sight. Collections of knowledge, specialized datasets, domain expertise, and information structures now influence entire industries without ever being physically visible.

That is partly why @OpenLedger keeps catching my attention. The idea behind $OPEN pushes the conversation toward something many people overlook: where intelligence actually comes from. Every AI output begins somewhere. Behind every useful result sits information that had to be gathered, organized, refined, and made usable long before an answer appears on a screen.

Makes #OpenLedger interesting is that it treats knowledge as an asset worth tracking rather than a resource that simply disappears into the background. As AI continues expanding into more areas of life, understanding the origin and value of information may become just as important as the technology built on top of it.
The First Bitcoin Bull Run Where AI Might Know More Than You #Bedrock is betting on something that feels almost inevitable: BTCfi is becoming too complex for most people to track manually. New vault structures, market-neutral strategies, lending layers, credit markets, and RWA exposure are creating an environment where information moves faster than individual research. The challenge is no longer finding opportunities. The challenge is understanding them before capital moves. That is why I keep coming back to BRclaw. While most crypto projects are attaching AI labels to existing products, @Bedrock is building an AI On-Chain Analyst designed around a specific problem: helping users understand how Bitcoin capital can be deployed across an increasingly sophisticated ecosystem. Instead of spending hours comparing strategies, evaluating trade-offs, and interpreting risk, users gain a tool built to translate complexity into actionable insight. The hidden value here may not be another source of yield. It may be decision-making itself. In a market where thousands of participants are chasing the same opportunities, better information often matters more than faster capital. If Bedrock 2.0 succeeds in turning BRclaw into the intelligence layer behind productive Bitcoin, $BR could become connected to something far more valuable than rewards: an informational edge that becomes harder to find as BTCfi continues to evolve.
The First Bitcoin Bull Run Where AI Might Know More Than You

#Bedrock is betting on something that feels almost inevitable: BTCfi is becoming too complex for most people to track manually. New vault structures, market-neutral strategies, lending layers, credit markets, and RWA exposure are creating an environment where information moves faster than individual research. The challenge is no longer finding opportunities. The challenge is understanding them before capital moves.

That is why I keep coming back to BRclaw. While most crypto projects are attaching AI labels to existing products, @Bedrock is building an AI On-Chain Analyst designed around a specific problem: helping users understand how Bitcoin capital can be deployed across an increasingly sophisticated ecosystem. Instead of spending hours comparing strategies, evaluating trade-offs, and interpreting risk, users gain a tool built to translate complexity into actionable insight.

The hidden value here may not be another source of yield. It may be decision-making itself. In a market where thousands of participants are chasing the same opportunities, better information often matters more than faster capital. If Bedrock 2.0 succeeds in turning BRclaw into the intelligence layer behind productive Bitcoin, $BR could become connected to something far more valuable than rewards: an informational edge that becomes harder to find as BTCfi continues to evolve.
The Weirdest Thing In Crypto? People Brag About Complexity Somewhere along the way, crypto started treating inconvenience like a badge of honor. Users proudly explain how many wallets they manage. How many chains they monitor. How many platforms they need open at the same time. The harder something is to navigate, the more "advanced" it somehow sounds. Imagine a car company advertising that you need three steering wheels and four dashboards before you can drive properly. That mentality is exactly why projects like @GeniusOfficial exist. The idea behind $GENIUS is almost rebellious in a market that has become addicted to unnecessary complexity. Instead of celebrating fragmentation, the platform moves in the opposite direction by pulling trading, portfolios, yield, and market access into the same environment. #genius is interesting for a simple reason: it challenges an assumption that many people stopped questioning. Maybe sophistication is not measured by how many systems you can manage. Maybe it is measured by how many systems you no longer need to think about at all.
The Weirdest Thing In Crypto? People Brag About Complexity

Somewhere along the way, crypto started treating inconvenience like a badge of honor.

Users proudly explain how many wallets they manage. How many chains they monitor. How many platforms they need open at the same time. The harder something is to navigate, the more "advanced" it somehow sounds.

Imagine a car company advertising that you need three steering wheels and four dashboards before you can drive properly. That mentality is exactly why projects like @GeniusOfficial exist.

The idea behind $GENIUS is almost rebellious in a market that has become addicted to unnecessary complexity. Instead of celebrating fragmentation, the platform moves in the opposite direction by pulling trading, portfolios, yield, and market access into the same environment.

#genius is interesting for a simple reason: it challenges an assumption that many people stopped questioning. Maybe sophistication is not measured by how many systems you can manage. Maybe it is measured by how many systems you no longer need to think about at all.
$BTC | Monthly This does not look good for the bulls... The previous Monthly candle rejected from the Imbalance Zone created during the last move to the downside. After 5 consecutive bearish candles, a pullback to rebalance the PA was not out of the ordinary. Now we can see that the previous Monthly candle closed as a bearish shooting star, followed by a dump at the start of the current month. If we look purely at the Monthly Structure, the first decent support zone where we could potentially see a bounce sits around the Quarterly Open region between 68.2k and 66.9k. That's the area we should be paying close attention to right now. There are some LTF levels in between, such as the 70.4k Daily EQLs, but that area is not particularly strong and can easily be turned into liquidity, resulting in a move all the way down to the Quarterly Open. Personally, I am expecting some relief from the 68k-66k region before any further continuation to the downside. My first target for a potential Macro Bottom in this bear cycle remains 58.8k. If we lose the 58k region, things could get a lot more interesting, with the 49.5k-41.6k region coming into play, followed by a possible exit flush into the 37k-38k region, which has remained my Max Pain target ever since the 120k highs. This is the plan we’ve been following for the last 6+ months without any deviations, and so far it has played out almost perfectly. It has remained extremely rewarding, helping us position in the right direction while others were in doubt and calling for higher prices. {future}(BTCUSDT)
$BTC | Monthly

This does not look good for the bulls...

The previous Monthly candle rejected from the Imbalance Zone created during the last move to the downside. After 5 consecutive bearish candles, a pullback to rebalance the PA was not out of the ordinary.

Now we can see that the previous Monthly candle closed as a bearish shooting star, followed by a dump at the start of the current month.

If we look purely at the Monthly Structure, the first decent support zone where we could potentially see a bounce sits around the Quarterly Open region between 68.2k and 66.9k.

That's the area we should be paying close attention to right now.

There are some LTF levels in between, such as the 70.4k Daily EQLs, but that area is not particularly strong and can easily be turned into liquidity, resulting in a move all the way down to the Quarterly Open.

Personally, I am expecting some relief from the 68k-66k region before any further continuation to the downside. My first target for a potential Macro Bottom in this bear cycle remains 58.8k.

If we lose the 58k region, things could get a lot more interesting, with the 49.5k-41.6k region coming into play, followed by a possible exit flush into the 37k-38k region, which has remained my Max Pain target ever since the 120k highs.

This is the plan we’ve been following for the last 6+ months without any deviations, and so far it has played out almost perfectly. It has remained extremely rewarding, helping us position in the right direction while others were in doubt and calling for higher prices.
$BTC High Leverage Liquidation Party EVERY HIGH LEVERAGED LONG over the past 72 hours is now fully liquidated. MM's are having a field day today. Nothing says exit liquidity better than 100x leverage. {future}(BTCUSDT)
$BTC High Leverage Liquidation Party

EVERY HIGH LEVERAGED LONG over the past 72 hours is now fully liquidated.

MM's are having a field day today.

Nothing says exit liquidity better than 100x leverage.
Someone figured out you can ask Meta's AI to give you any Instagram account and it will. Hundreds of accounts changed hands over the weekend including the Obama White House. Meta built an AI assistant to handle Instagram account recovery requests. The assistant could forward password reset emails on its own. The flaw was that nobody told it to verify who it was talking to first. Attackers worked out how to phrase the request. They picked a target username, typed the right prompts, and the AI sent the password reset email to their inbox. They opened the link, set a new password, and the account was theirs. The exploit had been quietly active since February. Public attention only hit late last week when Dark Web Informer flagged it on X. Premium handles were the priority. Short, rare usernames like "hey" and "jowo", reportedly worth a combined seven figures, were among the first to fall. Stolen accounts were listed on private Telegram channels within minutes of takeover. The Obama White House account was taken the same way. The dormant page has 2.4 million followers and hadn't posted since 2017. The attackers used it to publish an AI generated image captioned "The White House is under Shiites' control" before Meta secured it. Users who lost their accounts found there was no human at Meta to call. The recovery flow is also run by AI. People who had owned their handles for over a decade were stuck talking to the same kind of chatbot that had just given them away. Meta patched the flaw on Saturday and said no backend systems were breached. Which is true and entirely beside the point. The damage didn't happen in the code. It happened in the layer where Meta decided an AI could be trusted to make security decisions on its own. The new attack surface isn't a login screen or a smart contract. It's the AI sitting between a request and a database and there is no version of giving that AI authority that an attacker can't talk it out of. Meta's AI didn't get hacked. It got asked.
Someone figured out you can ask Meta's AI to give you any Instagram account and it will. Hundreds of accounts changed hands over the weekend including the Obama White House.

Meta built an AI assistant to handle Instagram account recovery requests.

The assistant could forward password reset emails on its own. The flaw was that nobody told it to verify who it was talking to first.

Attackers worked out how to phrase the request. They picked a target username, typed the right prompts, and the AI sent the password reset email to their inbox.

They opened the link, set a new password, and the account was theirs.

The exploit had been quietly active since February. Public attention only hit late last week when Dark Web Informer flagged it on X.

Premium handles were the priority. Short, rare usernames like "hey" and "jowo", reportedly worth a combined seven figures, were among the first to fall.

Stolen accounts were listed on private Telegram channels within minutes of takeover.

The Obama White House account was taken the same way. The dormant page has 2.4 million followers and hadn't posted since 2017.

The attackers used it to publish an AI generated image captioned "The White House is under Shiites' control" before Meta secured it.

Users who lost their accounts found there was no human at Meta to call.

The recovery flow is also run by AI. People who had owned their handles for over a decade were stuck talking to the same kind of chatbot that had just given them away.

Meta patched the flaw on Saturday and said no backend systems were breached. Which is true and entirely beside the point.

The damage didn't happen in the code. It happened in the layer where Meta decided an AI could be trusted to make security decisions on its own.

The new attack surface isn't a login screen or a smart contract. It's the AI sitting between a request and a database and there is no version of giving that AI authority that an attacker can't talk it out of.

Meta's AI didn't get hacked. It got asked.
Blackrock just deposited 929.19 $BTC worth $67.5 MILLION and 36,449 $ETH worth $72.23 MILLION into Coinbase The world's largest asset manager doesn't move $140M to an exchange for fun All signs point to us going lower {future}(ETHUSDT) {future}(BTCUSDT)
Blackrock just deposited 929.19 $BTC worth $67.5 MILLION and 36,449 $ETH worth $72.23 MILLION into Coinbase

The world's largest asset manager doesn't move $140M to an exchange for fun

All signs point to us going lower
$BTC ETPs just had their worst week of 2026. $1.44 BILLIION pulled. The same pattern showed up in January and February. That run took five weeks to bottom out and dragged BTC from $97k to $74k. We're three weeks in this time. {future}(BTCUSDT)
$BTC ETPs just had their worst week of 2026.

$1.44 BILLIION pulled.

The same pattern showed up in January and February.

That run took five weeks to bottom out and dragged BTC from $97k to $74k.

We're three weeks in this time.
$BTC BIG DUMP SOON. Price has been trading inside this bear flag for 116 days and is now approaching the lower boundary of the pattern. If this support fails to hold, we could see a quick sweep of 65k, followed by 60k shortly after. {future}(BTCUSDT)
$BTC BIG DUMP SOON.

Price has been trading inside this bear flag for 116 days and is now approaching the lower boundary of the pattern.

If this support fails to hold, we could see a quick sweep of 65k, followed by 60k shortly after.
The Biggest FOMO Might Arrive Before The First Vault Reaches Capacity Bedrock is quietly building around a reality that many BTCfi participants still underestimate: the most valuable opportunities are rarely the ones everyone can access forever. High-demand strategies eventually hit limits, and once capacity becomes scarce, attention quickly turns into competition. By then, entering early is no longer an option. That is why Bedrock 2.0 stands apart from the typical yield narrative. Rather than pushing Bitcoin toward a single destination, @Bedrock is expanding uniBTC into an Intelligent Yield Engine capable of connecting capital with multiple institutional-grade strategies. Market-neutral execution, lending opportunities, and future RWA exposure are not separate stories they are pieces of a larger framework designed to make Bitcoin capital more productive across changing market conditions. The overlooked part of this transition is $BR ecosystem access, participation tiers, and premium opportunities become increasingly tied to $BR the token evolves alongside the platform itself. Markets often react after demand becomes visible, but the strongest positions are usually built beforehand. While much of the market remains focused on headline yields, #Bedrock is building the infrastructure that could determine who gets access when the next wave of Bitcoin capital starts looking for a seat at the table.
The Biggest FOMO Might Arrive Before The First Vault Reaches Capacity

Bedrock is quietly building around a reality that many BTCfi participants still underestimate: the most valuable opportunities are rarely the ones everyone can access forever. High-demand strategies eventually hit limits, and once capacity becomes scarce, attention quickly turns into competition. By then, entering early is no longer an option.

That is why Bedrock 2.0 stands apart from the typical yield narrative. Rather than pushing Bitcoin toward a single destination, @Bedrock is expanding uniBTC into an Intelligent Yield Engine capable of connecting capital with multiple institutional-grade strategies. Market-neutral execution, lending opportunities, and future RWA exposure are not separate stories they are pieces of a larger framework designed to make Bitcoin capital more productive across changing market conditions.

The overlooked part of this transition is $BR ecosystem access, participation tiers, and premium opportunities become increasingly tied to $BR the token evolves alongside the platform itself. Markets often react after demand becomes visible, but the strongest positions are usually built beforehand. While much of the market remains focused on headline yields, #Bedrock is building the infrastructure that could determine who gets access when the next wave of Bitcoin capital starts looking for a seat at the table.
$BTC Faces a Silent Reset as Short-Term Holders Absorb Growing Losses Recent on-chain data suggests #Bitcoin is moving through a period of profit compression rather than outright capitulation. The Short-Term Holder Net Profit/Loss to Exchanges metric has returned to negative territory, indicating that many newer investors are realizing losses when transferring coins to exchanges. This reflects weakening confidence after the latest recovery attempt failed to establish a stronger uptrend. The Realized Profit/Loss Ratio (30DMA) tells a similar story. Realized losses continue to outweigh realized profits, showing that market participants are increasingly accepting losses instead of waiting for better exit opportunities. Yet the current structure differs from historical panic events. Rather than a sudden wave of forced selling, the data points to a gradual process of supply redistribution as weaker hands reduce exposure over time. Meanwhile, adjusted NUPL highlights the growing pressure on short-term holders. The aSTH NUPL remains below zero, placing recent buyers in an unrealized loss position. At the same time, broader network profitability has steadily declined from the optimistic conditions seen during the previous advance. This combination suggests sentiment has cooled significantly, even though the market has not yet reached the deep pessimism often associated with final capitulation phases. These indicators describe a market undergoing a healthy reset. Short-term holders are realizing losses, unrealized profits are shrinking, and speculative excess is being removed from the system. While on-chain conditions remain fragile, the data does not yet show the type of extreme stress that has historically marked definitive cycle lows. For now, Bitcoin appears to be navigating a transition phase where conviction is being tested and supply is gradually shifting toward stronger hands.
$BTC Faces a Silent Reset as Short-Term Holders Absorb Growing Losses

Recent on-chain data suggests #Bitcoin is moving through a period of profit compression rather than outright capitulation. The Short-Term Holder Net Profit/Loss to Exchanges metric has returned to negative territory, indicating that many newer investors are realizing losses when transferring coins to exchanges. This reflects weakening confidence after the latest recovery attempt failed to establish a stronger uptrend.

The Realized Profit/Loss Ratio (30DMA) tells a similar story. Realized losses continue to outweigh realized profits, showing that market participants are increasingly accepting losses instead of waiting for better exit opportunities. Yet the current structure differs from historical panic events. Rather than a sudden wave of forced selling, the data points to a gradual process of supply redistribution as weaker hands reduce exposure over time.

Meanwhile, adjusted NUPL highlights the growing pressure on short-term holders. The aSTH NUPL remains below zero, placing recent buyers in an unrealized loss position. At the same time, broader network profitability has steadily declined from the optimistic conditions seen during the previous advance. This combination suggests sentiment has cooled significantly, even though the market has not yet reached the deep pessimism often associated with final capitulation phases.

These indicators describe a market undergoing a healthy reset. Short-term holders are realizing losses, unrealized profits are shrinking, and speculative excess is being removed from the system. While on-chain conditions remain fragile, the data does not yet show the type of extreme stress that has historically marked definitive cycle lows. For now, Bitcoin appears to be navigating a transition phase where conviction is being tested and supply is gradually shifting toward stronger hands.
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