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PenelopeThe Security Advantages of Monad
Background: Ethereum's Gas ModelIn the past three years, more than four billion dollars' worth of assets have been stolen due to on - chain vulnerabilities. These losses have become one of the biggest obstacles to the mainstream adoption of decentralized applications (DApps). The main reason is that the cost of implementing security measures for smart contracts on Ethereum is very high. While minimizing users' gas fees, Ethereum developers often face a difficult trade - off as they have to gi...
PenelopeStepping into the Spotlight: Crypto Founders and Brand Leverage
Claire Kart: Tech marketers often work behind the scenes, which is effective in many cases. However, in the crypto industry, technical founders are often silent, causing the team to miss opportunities for exposure. In this nascent industry, finding the right talent is like finding a needle in a haystack. That's why I chose to step into the spotlight. The crypto space particularly relies on marketing and community building, and users want to hear from executives. Recruitment is also challengin...
PenelopeTrump Takes Charge, Yet “Crypto Week” Stumbles
Tuesday’s procedural vote in the House ended 196–223, with thirteen Republican representatives joining Democrats to block the rule that would have allowed debate and advancement of the three crypto bills. Unless the House revises its rules, the legislation—hailed as the industry’s best chance at regulatory clarity—will stall before reaching substantive discussion. The Vision: Trump’s Personal Push Earlier in the week, Washington’s crypto circles were elated. Industry players expected smooth s...
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PenelopeSpheron’s $13 M ARR TGE: Could “Revenue-First” Become the New Standard for AI Infra Tokens?
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<100 subscribers
Support Penelope
PenelopeSpheron’s $13 M ARR TGE: Could “Revenue-First” Become the New Standard for AI Infra Tokens?
PenelopeThe Security Advantages of Monad
Background: Ethereum's Gas ModelIn the past three years, more than four billion dollars' worth of assets have been stolen due to on - chain vulnerabilities. These losses have become one of the biggest obstacles to the mainstream adoption of decentralized applications (DApps). The main reason is that the cost of implementing security measures for smart contracts on Ethereum is very high. While minimizing users' gas fees, Ethereum developers often face a difficult trade - off as they have to gi...
PenelopeStepping into the Spotlight: Crypto Founders and Brand Leverage
Claire Kart: Tech marketers often work behind the scenes, which is effective in many cases. However, in the crypto industry, technical founders are often silent, causing the team to miss opportunities for exposure. In this nascent industry, finding the right talent is like finding a needle in a haystack. That's why I chose to step into the spotlight. The crypto space particularly relies on marketing and community building, and users want to hear from executives. Recruitment is also challengin...
PenelopeTrump Takes Charge, Yet “Crypto Week” Stumbles
Tuesday’s procedural vote in the House ended 196–223, with thirteen Republican representatives joining Democrats to block the rule that would have allowed debate and advancement of the three crypto bills. Unless the House revises its rules, the legislation—hailed as the industry’s best chance at regulatory clarity—will stall before reaching substantive discussion. The Vision: Trump’s Personal Push Earlier in the week, Washington’s crypto circles were elated. Industry players expected smooth s...
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A Token Launch with a Profit-and-Loss Statement
Another project is going public only after it can show audited revenues.
Spheron Network has just announced its TGE while already generating >$13 M in annual recurring revenue (ARR)—$7.6 M of which comes from AI workloads.
If the sector copies this playbook, “run-rate before runway” could become the norm for AI-infrastructure token launches.
What Exactly Is Spheron?
A decentralized compute mesh that aggregates idle GPUs/CPUs worldwide and routes them to AI training, inference and rendering jobs.
The stack is wider than raw compute:
IPFS storage, ENS naming, Arbitrum-based smart-contract deployment
Fizz Nodes – consumer-grade rigs (often gaming PCs) plug-and-earn via a lightweight client.
KlippyAI – consumer-facing AI video creator that already minted ≈5,000 NFT clips on Base L2, paid in $SPON.
Skynet – lets AI Agents spin up wallets and pay for compute natively, no dev account required.
Supernoderz (NaaS), Aquanode (inference workloads), Spheron Console (one-click GPU) complete the loop.
The Flywheel in Numbers
44 k active nodes across 170+ countries
8,300+ GPUs + 600 k CPUs online
>$500 k in weekly node payouts
>$13 M ARR, of which AI demand is 58 %
In short, the network has crossed the threshold where real customers—not just yield farmers—are footing the bill.
Sustainability Questions
A two-sided market only works if supply and demand grow in lock-step:
Can a permissionless network match AWS/GCP on latency and SLAs?
Will cost advantages survive if token subsidies taper?
Will gamers keep GPUs online when ETH prices spike or new AAA titles drop?
Spheron’s roadmap includes Agent Marketplace, DePIN lending, model markets, serverless functions—all designed to widen the revenue funnel.
The Competitive Moat Is Still Fluid
Hyperbolic, IO.NET, VANA, Sahara AI and others are racing down parallel tracks.
Early-mover timing helps, but victory will likely go to whichever stack balances product velocity, ecosystem incentives and uptime reliability—not merely the most elegant tech.
Industry Implications
If “revenue before TGE” becomes table stakes, AI infra tokens may finally trade on fundamentals instead of white-paper promises.
For builders, that’s higher bar but also higher signal—and for the market, a welcome filter against vaporware.
A Token Launch with a Profit-and-Loss Statement
Another project is going public only after it can show audited revenues.
Spheron Network has just announced its TGE while already generating >$13 M in annual recurring revenue (ARR)—$7.6 M of which comes from AI workloads.
If the sector copies this playbook, “run-rate before runway” could become the norm for AI-infrastructure token launches.
What Exactly Is Spheron?
A decentralized compute mesh that aggregates idle GPUs/CPUs worldwide and routes them to AI training, inference and rendering jobs.
The stack is wider than raw compute:
IPFS storage, ENS naming, Arbitrum-based smart-contract deployment
Fizz Nodes – consumer-grade rigs (often gaming PCs) plug-and-earn via a lightweight client.
KlippyAI – consumer-facing AI video creator that already minted ≈5,000 NFT clips on Base L2, paid in $SPON.
Skynet – lets AI Agents spin up wallets and pay for compute natively, no dev account required.
Supernoderz (NaaS), Aquanode (inference workloads), Spheron Console (one-click GPU) complete the loop.
The Flywheel in Numbers
44 k active nodes across 170+ countries
8,300+ GPUs + 600 k CPUs online
>$500 k in weekly node payouts
>$13 M ARR, of which AI demand is 58 %
In short, the network has crossed the threshold where real customers—not just yield farmers—are footing the bill.
Sustainability Questions
A two-sided market only works if supply and demand grow in lock-step:
Can a permissionless network match AWS/GCP on latency and SLAs?
Will cost advantages survive if token subsidies taper?
Will gamers keep GPUs online when ETH prices spike or new AAA titles drop?
Spheron’s roadmap includes Agent Marketplace, DePIN lending, model markets, serverless functions—all designed to widen the revenue funnel.
The Competitive Moat Is Still Fluid
Hyperbolic, IO.NET, VANA, Sahara AI and others are racing down parallel tracks.
Early-mover timing helps, but victory will likely go to whichever stack balances product velocity, ecosystem incentives and uptime reliability—not merely the most elegant tech.
Industry Implications
If “revenue before TGE” becomes table stakes, AI infra tokens may finally trade on fundamentals instead of white-paper promises.
For builders, that’s higher bar but also higher signal—and for the market, a welcome filter against vaporware.
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