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At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale... our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocolshow more

LinqAI

22,644 subscribers

239,673 views • 1 year ago •via X (Twitter)

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11 Comments

SPECTRE AI1 year ago

Proud that our partners are true builders. $LNQ you are impressive, relentless, innovative

LinqAI1 year ago

Thanks @Spectre__AI builders will win 🦾

Kjael // Skaling Ventures1 year ago

When I talk to SaaS Founders, they often struggle with subjectivity and bias in decision-making. The solution? An objective point of view informed via benchmarks and base rates. Here are 12x KPIs to assess any SaaS firm clearly and effectively:

ZIGChain1 year ago

True Buidlers 💪 Amazing 🔥👏

LinqAI1 year ago

❤️🫡👌🏻 cheers guys

Crypto.Ronald1 year ago

No words can describe how BULLISH i am on $LNQ This is just the beginning 👏🏻 really amaze me

𝐂𝐑𝐘𝐏𝐓𝐎 𝐀𝐋𝐔𝐂𝐀𝐑𝐃 🆃🅷🆁🅴🅰🅳🅾🆁1 year ago

Legendary expansion, this long term will save money, and drove even more fame to the LinqAI

theonlyfox1 year ago

Very excited about this expansion

Hannah Butler1 year ago

Exciting to see the future of SaaS intertwined with Web3! Can't wait to see how LinqAI evolves

Logan Audie1 year ago

There will be before LinqProtocol and after LinqProtocol.

Paula Yates1 year ago

Interested in how tokenization will enhance user experience in the LinqAI ecosystem

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45,555 views • 8 months ago

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X Freeze

17,025 views • 17 days ago

Dylan on why Anthropic leading on models doesn't mean OpenAI loses. Even the tier 2 and 3 labs will sell out of tokens: "Everyone's like Anthropic won. They had Mythos, Opus 4.7 and their revenue is adding $10 billion a month all before OpenAI's alleged Spud release. So clearly Anthropic is in the lead and OpenAI is cooked. Anthropic has such bounds on compute, they can only grow it so fast. Dario used to gloat about how OpenAI was being too aggressive on compute and Anthropic was more sensible in their scaling. Now Anthropic is like I wish we had a lot more compute. OpenAI just raised a ton of money to get incremental compute in addition to the irresponsible levels of compute that they were buying. By the end of the year, let's say a 4.6 Opus tier model, the economy would spend $100 billion on. Anthropic won't have enough compute to do that. And presumably OpenAI and Google will hit that tier soon. Anthropic may get to charge 70%+ gross margins but if OpenAI hits it next, they charge 50% gross margins. They still get all of this incremental demand. There is such demand for these tokens and such limitations on compute. It's pretty clear even the tier 2 or tier 3 lab are going to be sold out of tokens. The economic value that the best model can deliver is growing faster than our ability to actually serve those tokens to people via the infrastructure."

Dylan on why Anthropic leading on models doesn't mean OpenAI loses. Even the tier 2 and 3 labs will sell out of tokens: "Everyone's like Anthropic won. They had Mythos, Opus 4.7 and their revenue is adding $10 billion a month all before OpenAI's alleged Spud release. So clearly Anthropic is in the lead and OpenAI is cooked. Anthropic has such bounds on compute, they can only grow it so fast. Dario used to gloat about how OpenAI was being too aggressive on compute and Anthropic was more sensible in their scaling. Now Anthropic is like I wish we had a lot more compute. OpenAI just raised a ton of money to get incremental compute in addition to the irresponsible levels of compute that they were buying. By the end of the year, let's say a 4.6 Opus tier model, the economy would spend $100 billion on. Anthropic won't have enough compute to do that. And presumably OpenAI and Google will hit that tier soon. Anthropic may get to charge 70%+ gross margins but if OpenAI hits it next, they charge 50% gross margins. They still get all of this incremental demand. There is such demand for these tokens and such limitations on compute. It's pretty clear even the tier 2 or tier 3 lab are going to be sold out of tokens. The economic value that the best model can deliver is growing faster than our ability to actually serve those tokens to people via the infrastructure."

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295,226 views • 3 months ago

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assisterr

28,822 views • 1 year ago

Elon Musk: Artificial intelligence will continue to scale until we've harnessed all the energy of our galaxy. “I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy, sort of Kardashev 2, Kardashev 3 scale compute. One should think about artificial intelligence, not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of. Human intelligence has also scaled as the population has increased and we've been able to store more and more information.” Interview at the All-In Summit, September 10, 2025

Elon Musk: Artificial intelligence will continue to scale until we've harnessed all the energy of our galaxy. “I think we'll see intelligence continue to scale all the way up to where most of the power of the sun is harnessed for compute, and then ultimately most of the power of the galaxy, sort of Kardashev 2, Kardashev 3 scale compute. One should think about artificial intelligence, not as a destination that you reach, but really as part of the overall escalation of intelligence that we are aware of. Human intelligence has also scaled as the population has increased and we've been able to store more and more information.” Interview at the All-In Summit, September 10, 2025

ELON CLIPS

41,833 views • 10 months ago

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

Sami Kassab

35,706 views • 6 months ago

SITUATION EXPLAINED: Dwarkesh argues compute could get 10X more expensive. • Anthropic's revenue has been 10X-ing year over year while lab compute only 3X's • Three ways that gap can close: margins rise, compute gets more expensive, or labs shift compute to inference • All three are already happening, Anthropic went from 40% margins in 2025 to possibly 80%+ this year • But labs don't want the third one, heavy inference spend signals AI progress has stalled and you're now a cloud provider • Spot compute prices are up 40%+ since February, and labs pay well above spot for security and scale • Google is reportedly paying SpaceXAI $900 million a month for 110K GPUs, roughly 2X spot • Key claim: if a human-level software engineer ran on an H100, that H100 should rent for $250K a year, 15X today's price • The 3X annual compute growth is 1.4X Moore's Law, 1.2X new fabs, and 1.8X from AI taking wafer allocation from other devices • The fab piece is bottlenecked by EUV tool supply through 2030, and the wafer piece hits a wall by end of 2027 • If compute stays scarce, new labs need far more capital just to reach the same starting line • Compute gets cheap again only once robots can turn sand and copper into computers, which is gated on robotics, not RSI sof 𓋹: "This is what I'm most concerned about, a lack of innovation, not within companies, but a lack of new companies that can actually do something substantially new, because of the scarcity of compute." Theo Jaffee: "The biggest companies in the world by revenue are Amazon and Walmart, at 743 billion and 725 billion. If Anthropic makes 100 billion by the end of this year, that puts them at Target. To go from Target to bigger than Walmart in a year would be very impressive."

SITUATION EXPLAINED: Dwarkesh argues compute could get 10X more expensive. • Anthropic's revenue has been 10X-ing year over year while lab compute only 3X's • Three ways that gap can close: margins rise, compute gets more expensive, or labs shift compute to inference • All three are already happening, Anthropic went from 40% margins in 2025 to possibly 80%+ this year • But labs don't want the third one, heavy inference spend signals AI progress has stalled and you're now a cloud provider • Spot compute prices are up 40%+ since February, and labs pay well above spot for security and scale • Google is reportedly paying SpaceXAI $900 million a month for 110K GPUs, roughly 2X spot • Key claim: if a human-level software engineer ran on an H100, that H100 should rent for $250K a year, 15X today's price • The 3X annual compute growth is 1.4X Moore's Law, 1.2X new fabs, and 1.8X from AI taking wafer allocation from other devices • The fab piece is bottlenecked by EUV tool supply through 2030, and the wafer piece hits a wall by end of 2027 • If compute stays scarce, new labs need far more capital just to reach the same starting line • Compute gets cheap again only once robots can turn sand and copper into computers, which is gated on robotics, not RSI sof 𓋹: "This is what I'm most concerned about, a lack of innovation, not within companies, but a lack of new companies that can actually do something substantially new, because of the scarcity of compute." Theo Jaffee: "The biggest companies in the world by revenue are Amazon and Walmart, at 743 billion and 725 billion. If Anthropic makes 100 billion by the end of this year, that puts them at Target. To go from Target to bigger than Walmart in a year would be very impressive."

MTS

10,617 views • 9 days ago

What we choose to do in our life, our career, is a relationship as well. Like in choosing a partner, it’s important not to be impulsive. It’s also crucial that while listening to well-meaning advice from well-wishers, we do not forget to listen to our inner voice. Watch the full podcast exclusively on #monkify Download/Update the app today at: PS: There may be situations where we may not be able to follow our inner calling immediately due to real-life circumstances, and that’s fine. We may have to do the needful to address our immediate needs and liabilities but let’s not give up on our voice. Let’s keep it alive by working on it, even if it’s just a side thing atm. Who knows what the future holds for us? Also, the career and relationship analogy is a generic one and not a one-to-one extension. 😂🙈 #careeradvice #careertips #relationship #monkifyyourlife #Download #EnergizeYourMind #lifesamazingsecrets #gaurgopaldas #GaurGopalDas

What we choose to do in our life, our career, is a relationship as well. Like in choosing a partner, it’s important not to be impulsive. It’s also crucial that while listening to well-meaning advice from well-wishers, we do not forget to listen to our inner voice. Watch the full podcast exclusively on #monkify Download/Update the app today at: PS: There may be situations where we may not be able to follow our inner calling immediately due to real-life circumstances, and that’s fine. We may have to do the needful to address our immediate needs and liabilities but let’s not give up on our voice. Let’s keep it alive by working on it, even if it’s just a side thing atm. Who knows what the future holds for us? Also, the career and relationship analogy is a generic one and not a one-to-one extension. 😂🙈 #careeradvice #careertips #relationship #monkifyyourlife #Download #EnergizeYourMind #lifesamazingsecrets #gaurgopaldas #GaurGopalDas

Gaur Gopal Das

29,078 views • 3 years ago

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.

Milk Road AI

419,283 views • 3 months ago

🔥 We’re excited to announce that the Finney Testnet is thriving! In record time, all validator slots have been filled, marking a major milestone for UOMI’s Layer 1 blockchain. This rapid adoption underscores the strong demand for our technology and the growing recognition of our decentralized AI-powered ecosystem. UOMI it’s a cutting-edge L1 infrastructure designed to power on-chain autonomous AI Agents and push the boundaries of decentralized AI. With our advanced OPoC consensus mechanism, we’re building a scalable and efficient network that enables secure AI inference and computation while maintaining decentralization. This incredible validator adoption is a testament to the strength of our community and technology. And we’re just getting started! 🔜 What’s next? Stay tuned for major announcements, including new strategic partnerships, exclusive opportunities for users, and updates on the upcoming $UOMI token launch. The momentum is unstoppable, and we’re building at full speed! Thank you to everyone who joined us in this first phase the future of Web3 AI is here, and you’re part of it! 🚀

🔥 We’re excited to announce that the Finney Testnet is thriving! In record time, all validator slots have been filled, marking a major milestone for UOMI’s Layer 1 blockchain. This rapid adoption underscores the strong demand for our technology and the growing recognition of our decentralized AI-powered ecosystem. UOMI it’s a cutting-edge L1 infrastructure designed to power on-chain autonomous AI Agents and push the boundaries of decentralized AI. With our advanced OPoC consensus mechanism, we’re building a scalable and efficient network that enables secure AI inference and computation while maintaining decentralization. This incredible validator adoption is a testament to the strength of our community and technology. And we’re just getting started! 🔜 What’s next? Stay tuned for major announcements, including new strategic partnerships, exclusive opportunities for users, and updates on the upcoming $UOMI token launch. The momentum is unstoppable, and we’re building at full speed! Thank you to everyone who joined us in this first phase the future of Web3 AI is here, and you’re part of it! 🚀

Uomi

16,830 views • 1 year ago

Matthew on how energy goes from 10% of the cost of compute today to 20 or 30% by 2029. From our conversation and his letter: "The cost of power will be much higher than the hyperscalers underwrote, given their reliance on natural gas-fueled generation priced off a fuel that will cost far more than they assumed. High-cost fuel cells, behind-the-meter generation, bring-your-own-gen projects, emergency power procurement auctions. Virtually every solution being pursued by AI compute requires more natural gas. Each one accelerates our thesis. If you plug in all of this compute and it's gas powered, and we think gas could double or triple structurally even without weather, it could end up being 20 or 30% of the cost of compute by 2029. One of your recent guests listened and he said, 'Well, this sounds like DRAM two years ago.' Slowly at first, and then all at once."

Matthew on how energy goes from 10% of the cost of compute today to 20 or 30% by 2029. From our conversation and his letter: "The cost of power will be much higher than the hyperscalers underwrote, given their reliance on natural gas-fueled generation priced off a fuel that will cost far more than they assumed. High-cost fuel cells, behind-the-meter generation, bring-your-own-gen projects, emergency power procurement auctions. Virtually every solution being pursued by AI compute requires more natural gas. Each one accelerates our thesis. If you plug in all of this compute and it's gas powered, and we think gas could double or triple structurally even without weather, it could end up being 20 or 30% of the cost of compute by 2029. One of your recent guests listened and he said, 'Well, this sounds like DRAM two years ago.' Slowly at first, and then all at once."

Patrick OShaughnessy

115,019 views • 19 days ago

What if we could connect all the dark compute across the globe to build the world's biggest AI data center? Most of the compute in the world is dark: phones, laptops, Tesla's, PS5's, TV's. These devices have powerful GPUs but are mostly sitting idle. Today, EXO Labs is announcing the first step in activating all of this dark compute for AI workloads: evML, a distributed computing protocol that enforces honest behavior through hardware security and spot-checks with just 5% performance overhead. Version 0.0.1 of evML is compatible with Apple, Samsung and LG devices. Our preliminary report on evML is now available (link below).

What if we could connect all the dark compute across the globe to build the world's biggest AI data center? Most of the compute in the world is dark: phones, laptops, Tesla's, PS5's, TV's. These devices have powerful GPUs but are mostly sitting idle. Today, EXO Labs is announcing the first step in activating all of this dark compute for AI workloads: evML, a distributed computing protocol that enforces honest behavior through hardware security and spot-checks with just 5% performance overhead. Version 0.0.1 of evML is compatible with Apple, Samsung and LG devices. Our preliminary report on evML is now available (link below).

EXO Labs

137,913 views • 1 year ago

Today is Europe Day. And Ukraine is marking it not formally or through sloganeering, but fully aware that we are already an inseparable part of the European family. We are defending Ukraine, our independence, our future – and in doing so, we in Ukraine are defending our Europe. A Europe of which Ukraine has been and will remain a part. From the first days of the full-scale war until today, Europe has stood with Ukraine. And this is not charity – it is a choice made by Europeans: to stand on the same side as the brave and the strong – the Ukrainians who are fighting today for peace and true protection against tyranny, not only for themselves, but for the entire continent. And we will inevitably defend our state, our people, and our right to freely choose our future – a future in Europe. Glory to Ukraine!

Today is Europe Day. And Ukraine is marking it not formally or through sloganeering, but fully aware that we are already an inseparable part of the European family. We are defending Ukraine, our independence, our future – and in doing so, we in Ukraine are defending our Europe. A Europe of which Ukraine has been and will remain a part. From the first days of the full-scale war until today, Europe has stood with Ukraine. And this is not charity – it is a choice made by Europeans: to stand on the same side as the brave and the strong – the Ukrainians who are fighting today for peace and true protection against tyranny, not only for themselves, but for the entire continent. And we will inevitably defend our state, our people, and our right to freely choose our future – a future in Europe. Glory to Ukraine!

Volodymyr Zelenskyy / Володимир Зеленський

358,809 views • 3 months ago