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10 BILLION TOKENS. ZERO FUTURE INFLATION. But the interesting part of @FungoLabs's tokenomics isn't just its fixed supply. It's how that supply is distributed. Fungo Labs has designed $FUNGO around a 10 billion token supply, minted once, with no additional minting, no investor allocation, no presale, and no trading tax. Let's break down where the tokens actually go. THE 10 BILLION SUPPLY Here's the complete allocation: • 36% Genesis NFT holders • 7% Zama OG NFT holders • 3% X campaign • 10% Community growth • 10% Team • 34% Liquidity One detail immediately stands out: 46% of the entire supply is allocated to NFT holders and the X campaign. That's 4.6 billion FUNGO distributed across Genesis, Zama OG, and campaign participants. THE DAY-ONE DISTRIBUTION The project plans to distribute all three airdrop allocations at TGE. Genesis NFT holders share 3.6 billion FUNGO. Zama OG holders share 700 million FUNGO, with 140,112 FUNGO allocated per NFT. The X campaign receives 300 million FUNGO, distributed to accounts approved through manual review. Genesis and Zama OG holders have seven days to claim their allocations. Any unclaimed tokens after that period are burned. For the campaign allocation, approved accounts receive their tokens directly. WHAT ABOUT THE TEAM? The team's 10% allocation follows a different schedule. Nothing unlocks during the first 12 months. After that, the allocation unlocks gradually over the following 36 months. The community allocation also has a vesting schedule: 25% at TGE, followed by the remaining 75% over 24 months. THE LIQUIDITY COMPONENT Another interesting detail is the 34% liquidity allocation. Fungo plans to create a FUNGO/ZAMA pool, with its initial price based on the Genesis sale revenue in ZAMA divided by the total token supply. The liquidity position is permanently locked, according to the project's tokenomics. A fixed supply means no future inflation through additional minting. A substantial portion of the supply is allocated to NFT holders and campaign participants. The team's tokens have a 12-month lock before gradual vesting begins. Of course, token allocation alone doesn't guarantee demand or price appreciation. Actual adoption, liquidity, launch execution, and the platform's ability to generate revenue will matter much more over time. But understanding the distribution before TGE is essential. I'm particularly interested in how Fungo connects its NFT ecosystem, community incentives, and token economy. This is more than just looking at a token supply chart. It's about understanding who receives the supply, when they receive it, and what role the token plays in the ecosystem.

Imagine entering an NFT auction where nobody knows how much anyone else is bidding. Not the other bidders. Not the project team. Not even the platform. That's the concept behind @FungoLabs Sealed Auctions. In traditional NFT auctions, visible bids can influence everyone's decisions. Someone places a high bid, others react, and the auction can quickly turn into a game of watching and outbidding competitors. $Fungo takes a different route. Here's how its auction mechanism works: 1. Your bid stays private Before leaving your browser, your bid price and quantity are encrypted. Your funds are also held in a confidential token used for escrow. This means other participants cannot inspect your offer while bidding is still open. Even the project team cannot see the individual bids during this phase. 2. No changing your mind halfway through There's an important rule: bids are binding. Once submitted, you cannot simply cancel your bid because someone else offered a different price. This makes the auction more serious because participants need to think carefully about their offers before submitting them. 3. Everyone gets the same clearing price Once bidding closes, all encrypted bids are opened and remain publicly available. The final price is determined by the highest price level at which the available bids cover the NFT supply. And here's the interesting part: Every winning bidder pays the same final price, rather than paying their individual bid. This creates a uniform-price auction instead of a traditional bidding war. 4. Claiming your NFTs and getting your money back Winners don't need to pay their full bid price if the clearing price is lower. When they claim, the NFTs are minted and the difference between their original bid and the final price is returned in the same transaction. Each bidder can claim independently whenever they choose. And there's another safety mechanism: if the sale cannot be completed within the required time, participants can recover their entire escrow. The biggest advantage isn't just hiding bids. It's removing the information advantage that comes from watching other people's offers during an auction. When bidders cannot react to visible competing prices, the process becomes fundamentally different. Combined with Fungo's encrypted NFT infrastructure, this creates an interesting foundation for digital asset launches where both the assets and the purchasing process can have privacy built into them. I think this is one of the more interesting parts of what FungoLabs is building. Privacy shouldn't only exist after an NFT is minted. It can matter from the very first moment someone tries to acquire it. fungolabs.org/launchpad/c/cf…

Traditional NFTs are built around transparency. Ownership and metadata are generally public, meaning anyone can inspect an NFT's attributes, rarity, and other characteristics. But transparency isn't always an advantage. Imagine owning a gaming NFT with hidden strength, rarity, or special abilities. If everyone can inspect those attributes, the element of surprise disappears, and applications have limited ways to create genuinely private experiences. @FungoLabs is approaching this problem with Zama's Fully Homomorphic Encryption (FHE) technology. 1. NFTs with encrypted attributes On Fungo, an NFT can contain information that nobody can read publicly, including the card it represents and its sealed traits. These values are computed using encrypted data through Zama's protocol, rather than being stored in plain text on-chain. The NFT can remain publicly transferable while its private information stays protected. 2. Computation without revealing secrets This is where FHE becomes powerful. Normally, applications need readable information to perform calculations. FHE allows computations to happen directly on encrypted data. For example, imagine an NFT has a hidden strength value. A game could check whether its strength is above 60 without exposing the actual attribute to everyone. The result can be publicly verified while the underlying information remains private. 3. The holder controls who can see the NFT Fungo also introduces a permission-based viewing system. The holder can decrypt their NFT's information in the browser using a wallet signature. They can also grant viewing access to another trusted wallet, such as a hot wallet connected to a cold wallet. Importantly, viewing access doesn't mean ownership. When the NFT is transferred, the previous holder's access ends, while the new owner can activate their own access. 4. Privacy doesn't mean everything stays hidden forever Collections can decide how their information becomes public. Some traits can remain private permanently, others can be revealed by their holder, and some can automatically become public on a predefined date. Holders can also choose to reveal specific traits permanently. This creates flexibility for projects that want to combine private ownership with controlled public reveals. 5. Proving something without revealing everything Another interesting feature is the ability to prove specific facts about an NFT without disclosing its complete attributes. For example: Is its strength at least 60? Is its rarity classified as Rare? Does it satisfy a specific game requirement? Zama's network can verify these conditions and publish only the result. This opens the door to private gaming mechanics, competitive applications, and NFT utilities that don't require every player to expose their information. I think the interesting part of Fungo isn't simply making NFT metadata private. It's combining encrypted ownership, programmable attributes, selective disclosure, and verifiable computations into one system. If this infrastructure works as intended, NFTs could evolve beyond public collectibles into digital assets that can interact with applications while keeping important information private. That's a much more interesting use case for NFT technology. I'm following what @FungoLabs is building with @zama, especially how FHE can change the way we think about digital ownership. Campaign: fungolabs.org/launchpad/c/cf…

Leverage doesn’t have to mean constantly watching your liquidation price. That’s the problem @2FactorFinance is trying to approach differently with Durable Leverage. Its BTC structure separates exposure into two tranches: BTC-Sr gets a priority claim and a buffer of Junior capital beneath it. BTC-Jr takes the first losses and absorbs price movements before Senior capital is affected. What makes this design stand out is that neither tranche exists in isolation. Their relationship determines how risk is distributed and how Senior yield is formed. Two different risk profiles, one underlying asset: Bitcoin. points.2factor.finance/r/q3c…

Crypto has already put roughly $176 million into the 2026 U.S. midterm elections. The goal goes beyond winning political influence today it’s about shaping the rules the industry will operate under tomorrow. For an industry still fighting over how digital assets should be regulated, political donations have become another strategic tool. Clearer rules could help crypto businesses grow, while unfavorable policies could limit how they operate in the U.S. But there’s an important distinction: supporting pro-crypto candidates doesn’t guarantee good regulation, and campaign spending doesn’t automatically translate into votes or policy changes. What matters most is what happens after the elections. Will this money help create a more predictable framework for crypto or will it deepen concerns about wealthy industries influencing public policy? Crypto is no longer just lobbying for a seat at the table. It’s spending millions to influence who gets to set the rules.

The biggest difference between leverage models may not be the amount of exposure they offer, but how they handle downside risk. That’s what makes 2Factor’s Durable Leverage approach worth exploring. BTC-Sr has a priority claim, with Junior capital acting as its first-loss buffer. BTC-Jr takes the initial losses from price movements, creating two distinct risk profiles around the same underlying asset: Bitcoin. There’s also an interesting market dynamic: Senior yield depends on the balance of demand between the two tranches. Instead of focusing only on leverage, @2FactorFinance puts the capital structure itself at the center of the design. points.2factor.finance/r/q3c…

One thing worth paying attention to with @2FactorFinance is the relationship between risk and yield. BTC-Sr and BTC-Jr aren’t just two versions of the same position. They play different roles in the capital structure. Senior gets priority and relies on Junior capital as its first-loss buffer. Junior takes the initial hit from price movements in exchange for a different risk-return profile. Meanwhile, Senior yield depends on the supply and demand balance between the two tranches. I think the key question is how this balance behaves when BTC gets volatile and capital demand shifts. That’s where the Durable Leverage model gets really interesting. points.2factor.finance/r/q3c…

Web3 needs more than capital and activity. It needs a better way to recognize real contributions. That’s what makes @NucleusCodes interesting. Nucleus connects on-chain activity, social reputation, and opportunity to help match people with opportunities that fit their actual contributions. Season 3 is live, with a contribution leaderboard tracking Mindshare and eligibility for the top 5,000 contributors. I’m participating this season to explore how reputation-based distribution can reward meaningful involvement instead of just visibility.

One detail that makes @2FactorFinance interesting is how it approaches Senior yield. Instead of treating yield as a fixed number, the model ties it to the changing balance between BTC-Sr and BTC-Jr capital. That creates a different dynamic: • More demand for one tranche can change the economics for the other. • Junior capital absorbs losses first. • Senior capital gets priority, with protection provided by the Junior buffer. The real question isn’t just how much BTC exposure you can get. It’s whether the risk and reward are structured in a way that makes sense. That’s the part of 2Factor I’m watching most closely. points.2factor.finance/r/q3c…

The most alarming part of a wallet drain isn’t just how much money disappears. It’s how quickly users can lose control of assets they thought were safe. Ledger is investigating CryptoBilis wallet drains, with estimated losses reportedly exceeding $86 million. At that scale, the key questions are what enabled the drains, which users were affected, and whether the stolen funds can be traced or recovered. For me, the bigger takeaway is that self-custody only works when the security around it holds up. Hardware wallets can reduce certain risks, but they can’t protect users from every malicious approval, compromised recovery phrase, or unsafe signing decision. Until the investigation clarifies exactly what happened, users should avoid assuming their assets are safe simply because they use a particular wallet. Verify official security updates, never share recovery phrases, and review suspicious token approvals. The most concerning detail? The investigation centers on devices sold through a reseller, raising questions about supply-chain security not just wallet software. Ledger says its own infrastructure wasn’t compromised and has not confirmed the root cause. Source If you bought a Ledger through CryptoBilis in the last 90 days, follow Ledger’s official security guidance immediately. Self-custody is only as strong as the process used to secure your keys. How do we build trust in hardware wallets when the risk may begin before the device even reaches the buyer?

A prediction market is only as useful as its resolution process. @Polymarket has an interesting mechanism behind the scenes: UMA’s Optimistic Oracle. Instead of relying on a central authority to decide every outcome, a proposed result can be challenged if someone believes it’s incorrect. That creates an important distinction: Trading determines the market price. Resolution determines who actually wins. These are two different problems, and both matter. Because even the most accurate prediction market needs a reliable way to turn a real-world event into a final outcome.

What if BTC leverage didn’t need to rely on liquidation? That’s the idea behind @2FactorFinance Durable Leverage. BTC exposure is split into two layers: • BTC-Sr priority claim, protected by Junior capital • BTC-Jr takes the first loss and absorbs price movement first The interesting part is the funding mechanism: Senior yield is determined by the balance of demand between Senior and Junior capital. A pretty different way to structure leveraged BTC exposure. points.2factor.finance/r/q3c…

The @2FactorFinance is rethinking BTC leverage through tranching. Instead of a perpetual position that can be forcibly liquidated, BTC-Sr and BTC-Jr split the risk between two capital layers. Senior gets priority, while Junior takes the first-loss exposure and absorbs BTC price movement first. What makes the model interesting is that Senior yield is driven by the market balance between the two tranches. A different way to think about leverage: separate the risk instead of liquidating the position. points.2factor.finance/r/q3c…

Open USD (OUSD) is now live for businesses and developers. OUSD is designed as financial infrastructure for payments, settlement, FX, trading, cards and wallets with 1:1 USD mint and burn at no cost. It’s natively supported across @base , Ethereum, Solana and Tempo, with integrations spanning Coinbase, Mastercard, Stripe and Visa. OUSD is issued by Bridge, a Stripe company, with reserves held at BlackRock, Lead Bank and BNY. This feels less like a new stablecoin and more like an attempt to make stablecoins usable as the default rails for global financial products.

2Factor is taking a different approach to leveraged BTC exposure. Instead of perpetuals with forced liquidations, its Durable Leverage structure splits capital into Senior and Junior tranches. BTC-Sr gets priority and protection from a Junior first-loss buffer, while BTC-Jr absorbs price movement first and takes the higher risk. The interesting part is that the Senior yield is driven by the market balance between Senior and Junior capital not a fixed rate. Both tranches settle on Ethereum. That makes @2FactorFinance model worth watching as an alternative way to structure leverage without the traditional liquidation mechanism.

The most interesting story right now isn’t another BTC price prediction it’s what’s happening underneath Solana. Solana’s Alpenglow upgrade is now running on both public test environments, targeting transaction finality of roughly 150 milliseconds, down from about 12.8 seconds today. That’s not just a faster TPS headline. Alpenglow replaces TowerBFT’s voting process with direct validator votes and quorum certificates, allowing blocks to become final in one or two voting rounds. The execution layer stays intact, so existing apps don’t need to change how they process transactions. The interesting part is what 150ms finality could mean for exchanges, bridges and payments: the gap between “transaction happened” and “transaction is irreversible” becomes almost invisible to users. But there’s an important caveat 150ms is still a target, not a result proven under live mainnet conditions, and there’s no confirmed mainnet activation date yet. If Solana actually delivers this at scale, the conversation around blockchain performance may shift from “how fast can it process transactions?” to “how quickly can the network give you certainty?” That distinction could matter a lot more than another TPS record.