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Cherry is setting a new precedent for token-linked revenue models. With over $5 million in revenue generated and margins consistently above 70%, Cherry isn’t just building tools — it’s building an economy. At the heart of this model is its automated buyback engine: 20% of all platform revenue is...

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CherryAI Robotics

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46,227 просмотров • 1 год назад •via X (Twitter)

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Фото профиля Cherry AI
Cherry AI1 год назад

As platform adoption grows and new verticals like Cherry Trading Bot and Cherry Launchpad come online, revenue is expected to increase exponentially — and so will buybacks. With current growth tracking 20% month-over-month, it’s realistic to project mid six-figures in monthly buyback volume in the near term. While most tokens depend on speculation to hold value, $CHERRY is tied directly to platform performance. Every transaction, every integration, every launch strengthens the token’s underlying economics.

Фото профиля Rainmaker
Rainmaker2 лет назад

Which Machine Learning model delivers stronger trading results? Check out this free Substack post where I compare several powerful models that beat the market and show yearly returns of over 20%.

Фото профиля Red
Red1 год назад

Thanks for sharing cherry 🔥

Фото профиля Karel
Karel1 год назад

Revenue powerhouse $CHERRY

Фото профиля tanyaeth
tanyaeth1 год назад

Cherry is the real deal, this token is 🔥

Фото профиля RNV is Bored 👹
RNV is Bored 👹1 год назад

Now that's what i'm talking about

Фото профиля Honey.Eth
Honey.Eth1 год назад

$CHERRY is a token to watch, growth is 🔥

Фото профиля Zoro
Zoro1 год назад

Amazing 🤩

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After 2 years of building, Cherry is officially launching its public IDO on April 23 5pm UTC. With $5M in revenue generated over the past 6 months and a $10M annual run rate, Cherry stands as one of Web3’s most revenue-driven infrastructure products. The IDO comes at a $20M valuation, while current business fundamentals support a valuation exceeding $50M—a rare opportunity to invest at a significant discount. CherryPad - Community:
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After 2 years of building, Cherry is officially launching its public IDO on April 23 5pm UTC. With $5M in revenue generated over the past 6 months and a $10M annual run rate, Cherry stands as one of Web3’s most revenue-driven infrastructure products. The IDO comes at a $20M valuation, while current business fundamentals support a valuation exceeding $50M—a rare opportunity to invest at a significant discount. CherryPad - Community:

CherryAI Robotics

376,087 просмотров • 1 год назад

The revenue chain. Here Cosmo Jiang of Solana Company (NASDAQ: $HSDT) and I discuss how fast some companies building on Solana go from zero to $100 million in revenue. It's the best product with the most users and revenue. Just build on Solana.
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The revenue chain. Here Cosmo Jiang of Solana Company (NASDAQ: $HSDT) and I discuss how fast some companies building on Solana go from zero to $100 million in revenue. It's the best product with the most users and revenue. Just build on Solana.

kehaya

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Today, I'm incredibly excited to announce Default's Series A led by 8VC and our new product. We spent the last three years building the tools and orchestration layer companies like Owner and Airbyte have used to build infrastructure across their go-to-market functions. Today, we're launching the first real-time data layer for go-to-market, a powerful new revenue agent, and a suite of tools for revenue teams and their agents. It's Day 1.
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Today, I'm incredibly excited to announce Default's Series A led by 8VC and our new product. We spent the last three years building the tools and orchestration layer companies like Owner and Airbyte have used to build infrastructure across their go-to-market functions. Today, we're launching the first real-time data layer for go-to-market, a powerful new revenue agent, and a suite of tools for revenue teams and their agents. It's Day 1.

nico

137,909 просмотров • 1 месяц назад

IMG Academy is now teaching NIL and revenue sharing as a core class. They’re bringing in lawyers to teach contracts and treating athletes like pros. With revenue sharing now legal, this isn’t extra credit… it’s the new standard. And IMG is ahead of the game. ⬇️
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IMG Academy is now teaching NIL and revenue sharing as a core class. They’re bringing in lawyers to teach contracts and treating athletes like pros. With revenue sharing now legal, this isn’t extra credit… it’s the new standard. And IMG is ahead of the game. ⬇️

Adam Breneman

15,171 просмотров • 1 год назад

Experimental Tokenomics with a mechanism based on buybacks from the revenue of an operating GEN2AI business. Where web2 and web3 are connected. 100% of the revenue generated by the app goes to buyback to support the $GEN2 value. #GEN2AI #AI #WEB3
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Experimental Tokenomics with a mechanism based on buybacks from the revenue of an operating GEN2AI business. Where web2 and web3 are connected. 100% of the revenue generated by the app goes to buyback to support the $GEN2 value. #GEN2AI #AI #WEB3

GEN2AI⚡️

196,789 просмотров • 1 год назад

On vibe, there is no listing fee, no listing department, and no gatekeepers. Also there is no multi million dollar staking requirement, or high gas costs or auction to deploy a market. Anyone can list a perp permissionlessly, deposit liquidity to bootstrap & attach an oracle. Deployers and LPs receive 70% of the generated revenue and can decide to have 100% of that revenue be used for buybacks On vibe everyone is treated the same, if their token is 10 thousand marketcap or 5 billion. It doesnt matter if your net worth is 100 dollar or 500 million dollar. On vibe everyone is treated equally, the peoples exchange.
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On vibe, there is no listing fee, no listing department, and no gatekeepers. Also there is no multi million dollar staking requirement, or high gas costs or auction to deploy a market. Anyone can list a perp permissionlessly, deposit liquidity to bootstrap & attach an oracle. Deployers and LPs receive 70% of the generated revenue and can decide to have 100% of that revenue be used for buybacks On vibe everyone is treated the same, if their token is 10 thousand marketcap or 5 billion. It doesnt matter if your net worth is 100 dollar or 500 million dollar. On vibe everyone is treated equally, the peoples exchange.

Vibe Trading

32,401 просмотров • 8 месяцев назад

David Sacks just said what every honest analyst in Silicon Valley is already thinking (Save this). Nobody has ever seen anything like this. Anthropic has grown at 10x per year for three straight years and going into 2026, the conventional wisdom was that the rate of growth had to slow at this level of scale but then the numbers came in. Q1 alone is $10B ARR to $30B, in April, $30B to $44B and that's $96 million in new ARR added every single day. Inference margins are now above 70%, up from 38% last year and the only thing holding them back was compute. That's solved now, the SpaceX deal and others Anthropic has been quietly signing unlocks the supply side. This is exactly why we are bullish on Nebius and AMD. When a single company is adding nearly $100M in ARR per day, the real trade isn't the frontier lab but rather the infrastructure underneath it. Nebius, one of the fastest-growing neoclouds on the planet posted 547% YoY revenue growth in Q4 2025, exited the year with $1.25B ARR, and is guiding for $7–9B ARR by year-end 2026. Their revenue backlog has reached $46B, with projections of $16B in revenue by 2028 and NVIDIA locked in a $2 billion stock buy agreement with them giving Nebius early access to cutting-edge chips while every other cloud scrambles for supply. AMD is the other side of the same coin. Data center revenue hit $5.78B in Q1, up 57% year-over-year with total company revenue at $10.25B, up 38%. Meta has committed to deploying up to 6 gigawatts of AMD Instinct GPUs. Data center GPU revenue is forecast to surge 114% year over year to $15B in 2026. MI400-series chips hit the market in H2 and analysts project segment operating margins climbing to 31% as the next generation ramps. The model is simple, Anthropic is printing revenue and that that revenue pays for compute. That compute flows through companies like Nebius and AMD. This is why Milk Road PRO remains bullish on them and our positions are up massively. Our analysts have broken down the full thesis, the allocations, and the price targets. Go PRO at Milk Road to see everything, link below!
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David Sacks just said what every honest analyst in Silicon Valley is already thinking (Save this). Nobody has ever seen anything like this. Anthropic has grown at 10x per year for three straight years and going into 2026, the conventional wisdom was that the rate of growth had to slow at this level of scale but then the numbers came in. Q1 alone is $10B ARR to $30B, in April, $30B to $44B and that's $96 million in new ARR added every single day. Inference margins are now above 70%, up from 38% last year and the only thing holding them back was compute. That's solved now, the SpaceX deal and others Anthropic has been quietly signing unlocks the supply side. This is exactly why we are bullish on Nebius and AMD. When a single company is adding nearly $100M in ARR per day, the real trade isn't the frontier lab but rather the infrastructure underneath it. Nebius, one of the fastest-growing neoclouds on the planet posted 547% YoY revenue growth in Q4 2025, exited the year with $1.25B ARR, and is guiding for $7–9B ARR by year-end 2026. Their revenue backlog has reached $46B, with projections of $16B in revenue by 2028 and NVIDIA locked in a $2 billion stock buy agreement with them giving Nebius early access to cutting-edge chips while every other cloud scrambles for supply. AMD is the other side of the same coin. Data center revenue hit $5.78B in Q1, up 57% year-over-year with total company revenue at $10.25B, up 38%. Meta has committed to deploying up to 6 gigawatts of AMD Instinct GPUs. Data center GPU revenue is forecast to surge 114% year over year to $15B in 2026. MI400-series chips hit the market in H2 and analysts project segment operating margins climbing to 31% as the next generation ramps. The model is simple, Anthropic is printing revenue and that that revenue pays for compute. That compute flows through companies like Nebius and AMD. This is why Milk Road PRO remains bullish on them and our positions are up massively. Our analysts have broken down the full thesis, the allocations, and the price targets. Go PRO at Milk Road to see everything, link below!

Milk Road AI

184,643 просмотров • 1 месяц назад

Sam Altman just gave the KEY to building million-dollar businesses. And he's spot on. This is the #1 thing that helped me personally scale to $20M+ in revenue. "This is incredibly correlated with success: Iteration speed - the speed at which you can generate a hypothesis, test it, and implement it." Every young entrepreneur should make SPEED their top priority.
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Sam Altman just gave the KEY to building million-dollar businesses. And he's spot on. This is the #1 thing that helped me personally scale to $20M+ in revenue. "This is incredibly correlated with success: Iteration speed - the speed at which you can generate a hypothesis, test it, and implement it." Every young entrepreneur should make SPEED their top priority.

Miles Deutscher

26,057 просмотров • 2 месяцев назад

BREAKING: TBC unveils new sponsorship program, and is proud to announce Ourbit as its first official partner. 100% of revenue generated will be invested back into the token, rewarding shareholders. $TBC is open for business.
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BREAKING: TBC unveils new sponsorship program, and is proud to announce Ourbit as its first official partner. 100% of revenue generated will be invested back into the token, rewarding shareholders. $TBC is open for business.

TBC

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🚨THE OLD FINANCIAL SYSTEM IS CRUMBLING! THIS SHIFT IS POSITIONING XRP TO REACH HIGH LEVELS! BXE TOKEN IS THE ENGINE BEHIND INSTITUTIONAL TOKENIZATION ON THE XRPL AND THE MOMENTUM IS BUILDING FAST! WITH A PRICE OF JUST $0.03 AND A FIXED SUPPLY OF 500 MILLION, BXE TOKEN HAS THE POTENTIAL TO ROCKET TO $19–24! DYOR/NFA BXE TOKEN TRADE LINK:

JackTheRippler ©️

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"The world has become faster." – sarah guo // conviction "(It’s easier to get to high ARR), but the key is revenue durability.” "There’s a big difference between a product with deep usage, multi-year lock-ins, enterprise revenue, and integrations, and a product with 30% monthly churn." "Figure out what the bottleneck is for growth in durable revenue. Treat everything else as distribution."

TBPN

24,161 просмотров • 1 год назад

$IONQ CEO on Q1 2026: “We expect revenue to be about double last year.” Fact: 60% of $IONQ’s revenue comes from commercial customers. Over 35% of revenue is powered by multi-product sales: Hardware, networking, and security. $IONQ is no longer a lab science project. It’s a scaled commercial platform backed by a $470 million backlog, up 554% YoY. This allows for real visibility into forward multi-quarter guidance. Why would $IONQ not double its last year revenue in 2026?
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$IONQ CEO on Q1 2026: “We expect revenue to be about double last year.” Fact: 60% of $IONQ’s revenue comes from commercial customers. Over 35% of revenue is powered by multi-product sales: Hardware, networking, and security. $IONQ is no longer a lab science project. It’s a scaled commercial platform backed by a $470 million backlog, up 554% YoY. This allows for real visibility into forward multi-quarter guidance. Why would $IONQ not double its last year revenue in 2026?

Investor Denis

15,464 просмотров • 1 месяц назад

Real revenue is the real story of AutoFi. We fix the tx fee dependent model by: > Creating real recurring revenue with system-level automation > Sharing revenue with dapps and node operators > Aim to wean off block rewards in 2yrs This is AutoFi.
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Real revenue is the real story of AutoFi. We fix the tx fee dependent model by: > Creating real recurring revenue with system-level automation > Sharing revenue with dapps and node operators > Aim to wean off block rewards in 2yrs This is AutoFi.

Supra

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I bought 20 Mac minis. All of them are running OpenClaw. Half the agents are currently for optimizing my life and pleasure: – Scheduling – Intercourse projection – Intercourse between all of them – Building internal tools – Stress-testing ideas at 3am – Auto-generating product iterations for intercourse The other half? They’re building a startup. Outbound. Product refinement. Landing pages. Data analysis. Automation loops. Growth experiments running 24/7. Conservatively projecting ~$5M/month in revenue once it locks in. No VC. Just automated bots in my room This is the ideal ClawDBot setup: • Dedicated hardware • Parallel agent architecture • Closed-loop execution • Autonomous iteration • No sleep cycle ClawDBot isn’t a chatbot. It’s an organism. And this is what peak looks like in 2026.
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I bought 20 Mac minis. All of them are running OpenClaw. Half the agents are currently for optimizing my life and pleasure: – Scheduling – Intercourse projection – Intercourse between all of them – Building internal tools – Stress-testing ideas at 3am – Auto-generating product iterations for intercourse The other half? They’re building a startup. Outbound. Product refinement. Landing pages. Data analysis. Automation loops. Growth experiments running 24/7. Conservatively projecting ~$5M/month in revenue once it locks in. No VC. Just automated bots in my room This is the ideal ClawDBot setup: • Dedicated hardware • Parallel agent architecture • Closed-loop execution • Autonomous iteration • No sleep cycle ClawDBot isn’t a chatbot. It’s an organism. And this is what peak looks like in 2026.

Jakey

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JackTheRippler ©️

85,790 просмотров • 1 год назад

"#AndhraKingTaluka THEATRICAL REVENUE CAME AS A SHOCK TO ALL OF US, because the revenues were very low and the share was minimal." What went wrong with AKT, in the words of Mythri CEO Cherry. Full Interview :
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"#AndhraKingTaluka THEATRICAL REVENUE CAME AS A SHOCK TO ALL OF US, because the revenues were very low and the share was minimal." What went wrong with AKT, in the words of Mythri CEO Cherry. Full Interview :

Gulte

180,075 просмотров • 2 месяцев назад

The tax base is shrinking and GoZ won’t meet its revenue targets this year and next year its revenue growth is all inflation. This is a direct result of failed government policies of punishing formal business. kudzanai Is treasury taking its mandate seriously?
2:19

The tax base is shrinking and GoZ won’t meet its revenue targets this year and next year its revenue growth is all inflation. This is a direct result of failed government policies of punishing formal business. kudzanai Is treasury taking its mandate seriously?

Tinashe

28,212 просмотров • 1 год назад

Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!
4:04

Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!

Milk Road AI

21,141 просмотров • 19 дней назад

"I wish we could get this number: how much of the revenue for the entire NHL is generated from this one market and one team?" James Mirtle joins JD Bunkis to reflect on Maple Leafs narratives circulating ahead of Game 1 of the Stanley Cup Final.
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"I wish we could get this number: how much of the revenue for the entire NHL is generated from this one market and one team?" James Mirtle joins JD Bunkis to reflect on Maple Leafs narratives circulating ahead of Game 1 of the Stanley Cup Final.

Sportsnet 590 The FAN

43,874 просмотров • 1 месяц назад

NEW LONG FORM VIDEO: Why nobody uses Craigslist anymore Craigslist once generated more than $1 billion a year in revenue with just 28 employees. To put that in perspective, that’s more revenue per employee than even Google at its peak. Its founder turned down billions of dollars in venture capital, refused to run advertising, and chose to serve as head of customer service rather than CEO. For years, that philosophy seemed brilliant. But just six years later, Craigslist had lost more than 70% of its revenue. This is the story of how one man’s unconventional principles and vision built an internet empire and how those same principles may have ultimately contributed to its decline. This is the rise and fall of Craigslist.
20:47

NEW LONG FORM VIDEO: Why nobody uses Craigslist anymore Craigslist once generated more than $1 billion a year in revenue with just 28 employees. To put that in perspective, that’s more revenue per employee than even Google at its peak. Its founder turned down billions of dollars in venture capital, refused to run advertising, and chose to serve as head of customer service rather than CEO. For years, that philosophy seemed brilliant. But just six years later, Craigslist had lost more than 70% of its revenue. This is the story of how one man’s unconventional principles and vision built an internet empire and how those same principles may have ultimately contributed to its decline. This is the rise and fall of Craigslist.

Michael Girdley

96,461 просмотров • 3 дней назад