We're putting Coinbase tokenized stocks to work at scale, utilizing @aave for the growing Earn on Stock program. Over 10,000 tokenized stock units ($2.6M), enrolled 450+ wallets, and with Aave V4's stock readiness, we are serving yield to users, weekends included. It's still early. Our stock strategies already bring ~$44K in annualized interest to Aave V4's USDC lenders, and we plan to scale them and grow that footprint. Here's how it works: 1. Users supply NVDAc, GOOGLc into TAU Labs-operated stock strategies 2. Those stock units are automatically deployed to Aave V4, and USDC is borrowed against them 3. That USDC is lent out on blue-chip markets on @base That activity feeds back into each stock-denominated vault, growing participants' positions in units. Earning more stock units, in addition to simply holding them, will soon become the norm. We're building toward that new norm, with Aave under the hood. We use institutional-grade vault infrastructure from @ipor_io Fusion to facilitate and automate this process. TAU Labs is now the largest operator of tokenized equity strategies on the Base network. Our stock vaults are already surfaced on @jumperapp and soon many others to come. Exchange operators and neobanks looking to introduce Earn-on-Stocks programs for their user base using Aave at the root level, reach out to us.

Not nothing. Although we've admittedly not marketed what we've been up to loudly (intentional) - things are and have been happening. Once Mega decided to fully embrace first party building it meant going heads down to...build products. That requires deep questions on the then-current state, reflection and then expanding the team and restructuring with a renewed focus on key areas. None of those things are very sexy or marketable, but they're extremely necessary and took place. @ZokuTrade is the vertical I'm most excited by presently and combines the market expertise we acquired when we expanded the team with the technical prowess our protocol team already possessed. My opinion is that if MegaETH is going to thrive it needs to continue to push the structural differences it already possesses at the protocol level performance-wise to incorporate app and product-level needs. You can only do that once you've identified micro market structure problems though, and that was not something we possessed internally when MegaETH launched. So we acquired that knowledge. The benefits of that will likely result in protocol-level changes to the network that enhances market structure, liquidity and/or primitives that any trading venues on Mega can leverage because it's a shared execution environment. To me, resources are better spent in this direction. Where MegaETH as a network continues to structurally diverge from all other chains on performance, primitives and features so that builders (including us) can build truly net-new experiences. Running insane incentive spend for the chain, and diluting our team's time away from direct value-accretive initiatives, just didn't make sense in 2026 for our particular org. Non-comprehensive list of things we're continuing to push forward and I believe will make a difference long-term: - Sequencer-embedded oracle from Chainlink - Proximity Markets (productized latency) - USDm integrations - MOSS (just dropped v2) & MOSS CLI - Zoku - REDACTED Another non-comprehensive list of things still doing well and/or I'm excited about on MegaETH: - @brix_money just launched the first ever Turkish Lira carry trade onchain - @Euphoria_fi continues to refine their product and has added several social features - @mnstr is hitting daily ATH volumes - @stompdotgg just dropped v2 which is producing actually, fully onchain pokemon-style battle games for <$0.01 per game - @MNX_fi is about to enter Mainnet Beta for perp trading AI-specific assets (Anthropic pre-IPO, compute, etc) - @userocket_app is also about to enter a beta phase with a net-new trading structure ("distribution markets") - @hitdotone is about to open for v2 after reaching top 10 for interfaces on DefiLlama with v1. Things are quiet, but not dead. As things mature we'll get louder.

Been working on something massive for past 1 year. Now is the time to bring it to life. Regulated instance of Fluid protocol to serve sovereign funds, private banks, family offices, HNWI. AGI3 markets powered by Fluid! 🌊🌊🌊🌊🌊

Every economy runs on predictable cost of capital Humanity doesn't advance as more assets are traded. It advances as capital deploys with confidence DeFi 2.0: Predictable capital formation for real economic activities System Upgrade: @SupernovaLabs_ is now: RatesDotExchange

Robinhood is now open to AI agents. You can open an agentic account and connect an AI agent to it. From there, you can let it research, trade, and manage a portfolio on your behalf. Here's how to get started. 🧵

Aave x Bondify AMA is coming. The Next Chapter of Onchain Lending We’re going live with @aave to talk all things onchain lending — from modular market design and looping strategies to exit liquidity and RWA collateral. 🗓️ Tuesday, July 14 🕑 14:00 UTC / 22:00 SGT 📍 X Space Lineup: 🎙️ Simo @alphaleaked - Growth Lead, Aave Labs 🎙️ Luffy @Luffy_Cian - Founder, Cian & Bondify 📍 Hosted by @bonnazhu - form We’ll dive into: - From V3 to more modular lending markets - How looping strategies are evolving - Why exit liquidity matters for leveraged positions - What makes RWAs useful as productive collateral 🎧 Set your reminder , bring your questions and join us live.

Today we’re launching tBRL and tMXN. Tokenized Brazilian Real and Mexican Peso, now on-chain. Two of the most liquid + high-yielding currencies globally, tokenized via Tenbin with yield of up to 13% and 7%.

New Openstock vault is live. Nvidia gets all the attention. But every one of its GPU clusters is wired together by optical modules, and one $197B company makes more of them than anyone on earth. It lists in Hong Kong soon.

This is exactly the argument that happened when @Backpack launched tokenized securities. The truth is people wont trade them, what people actually want is ownership. You can get exposure onchain already, thru xstocks or ondo, and now robbinhood stocks? The reality is they want redeemability, its why their offerings for $SPCX solana:MUxEsUKSMACyw5fZf68wxf5FLnZVhtU9CwH8uNNGay1 and solana:SNDKbwMUQvZhnLnxLduradgLHG5KrPuKwpnrkkGRhfH are so popular, its why theres actual volume for these vs the others. You actually can trade them for the underlying all within the platform back and forth, they are 1 to 1, no one else can claim this, they simple have exposure.

Raising in crypto? A lot of the funds you'd pitch from the 2021 cycle don't write checks anymore. These 14 are still deploying in 2026. @variantfund : Variant. Pre-seed/seed, leads the earliest round. DeFi, AI x crypto, agentic finance. Just closed $222M (June 2026). @archetypevc : Archetype. Seed, leads. On-chain social, payments infra, crypto AI. $100M Fund III. @PortalVentures : Portal. Pre-seed first, $1–10M, leads. Bitcoin ecosystem, modular infra, RWAs. @hack_vc : Hack VC. Pre-seed/seed, ~$1–3M, leads. Web3 AI, infra, DePIN. @6thmanventures : 6MV. Pre-seed to Series A, up to $5M. Solana-heavy: consumer, gaming, AI agents. @lattice_fund : Lattice. Pre-seed/seed, $500K–$1M, leads day one. Generalist crypto. @coinfund: CoinFund. Seed to Series A, $500K–$15M, leads. DeFi infra, stablecoins, decentralized AI. @EV3ventures : Escape Velocity. $500K–$3M, leads. Closed $62M Fund III (Jan 2026). @egodeathcapital : Ego Death. Series A, $3–8M. Bitcoin only. $100M Fund II. @dragonfly_xyz : Dragonfly. Early stage, leads. Closed $650M Fund IV (Feb 2026), deploying straight into the downturn. @a16zcrypto : a16z crypto. Pre-seed to growth. CSX accelerator is the front door ($500K). Crypto Fund V, $2.2B. @paradigm : Paradigm. Seed to Series B, leads. Raising a $1.5B frontier fund. @HaunVentures : Haun Ventures. Seed to late, leads. Just raised $1B, now chasing crypto x AI agents. @PanteraCapital : Pantera. All stages, leads ~85% of new deals. Oldest US crypto fund, Fund V ~$1B. Save it and pitch accordingly.

The next ByteDance is a permissionless market Media didn't just change. Its objective function did. Distribution shifted from editorial curation to engagement maximization, and the two optimize for completely different things. More than half of Americans now get news from social platforms, and the feeds ranking that news are tuned to predict what holds attention, not what is true. LLMs make this worse: they personalize at near-zero marginal cost, so the diversity of inputs any one person sees collapses toward whatever their prior already rewards. The echo chamber isn't a failure. It's the equilibrium of any system that maximizes attention. Markets are the exception, because a price is the one signal in media that costs something to produce. A market weights each opinion by conviction, and punishes error in real time. That discipline is what turns dispersed, private, tacit knowledge into public. In a media of infinite mirrors, the market is the only output that has skin in the game. But demand for that signal is thin and lumpy. Activity follows a power law: a handful of elections and headline events absorb almost all volume, while the long tail of markets sits at near-zero open interest. Two distinct failures produce this. On the demand side, the right markets never reach the right users. Distribution can't match a question to the person who actually holds an edge on it. On the supply side, even when a market exists, no market maker can afford to price it. ByteDance didn't win on better content; it won by solving the matching problem for long-tail supply. An events market feed needs the same machinery. The asset being matched is different, but the economics are identical: a vast long tail of supply that is worthless until it finds its precise audience. The supply-side failure, though, is structural. The Conditional Token Framework is clean and composable, but it pushes price discovery onto external market makers and loss-bearing LPs. Unlike perps or spot tokens, where every participant shares one deep order book and liquidity nets across the whole venue, each prediction market is a bespoke, non-fungible risk that has to be subsidized on its own. So the marginal cost of opening a market doesn't fall as the platform grows; it stays roughly constant and high. That is the inverse of software economics, and it's the real reason liquidity bootstrapping never gets cheaper no matter how many markets launch. The long tail gets excluded precisely where its information value per dollar is highest. The future of media doesn't devolve into a glorified sportsbook for lack of interest; the cost structure selects for the sportsbook. Breaking that requires a core mechanism whose engagement is invariant to notional size, where a $100 market feels as alive as a $100 million one. Without innovation at the protocol layer, every new market pays the same toll. That's the problem we're solving at 42. We're building an events market protocol that's permissionless for all creators. Pairing a suite of liquidity-agnostic mechanisms with precise distribution so that consensus can form on any topic. Long-tail topics aren't niche. They're where most tacit, local knowledge lives, and they're where prediction markets have always been theoretically strongest and practically absent. Come build the next generation of media with us. Break free from the world of infinite mirrors.

$4M to $20M on TrueNorth AI. Builder fee the whole way: zero. The volume 5x'd. The fee never moved off 0. Every dollar of it came from real trades on real accounts, no wash volume padding the number. Still early. gNorth

Derive started as Lyra in 2021 and the thesis then is the same that it is now: Options are the most programmable financial instrument. Blockchains are the most programmable financial rails. Tokenization is putting every asset on them. And Derive is the liquidity layer where all three meet. What's coming next is everything we set out to build, realized.