Decasonic ⏩

Save the Date: Web3 Investor Day 2026 This year’s theme, Investing in Adoption, marks a pivotal moment for Web3. As the ecosystem evolves, attention is shifting toward real-world use cases, proven traction, and long-term, sustainable growth. Join Decasonic, alongside co-presenters New Form (@newformcapital), VanEck (@vaneck_us ), and Bridge Alt (@bridgealts), and hear from industry leaders defining what meaningful adoption looks like in practice. Secure your spot ➡️ web3id26.eventbrite.com

BTC derivatives positioning is increasingly reflecting institutional style risk calibration rather than directional speculation. Net premium continues building around 80K calls while short dated flows remain defensive and short gamma exposure concentrates near 82K. This type of positioning signals markets preparing for volatility expansion while maintaining structured downside protection. As digital asset markets mature, derivatives infrastructure will become foundational for agentic capital allocation systems operating on real time volatility, liquidity, and risk signals.

Tokenized ETFs are scaling faster than most expected. Market cap has grown more than 600% YoY, with capital concentrating around S&P 500 and Nasdaq 100 exposure. This signals that institutional adoption is moving toward familiar benchmarks delivered through blockchain native infrastructure. As tokenized ETFs scale, the market is moving closer to real time settlement, expanded global access, and continuously operating capital markets.

Yesterday's X Spaces talked about what happens when intelligence moves into the physical. Deployment data. Ownership models. The practical wedge that moves embodied AI from theory to infrastructure. This and more in the full X Spaces recording here: x.com/i/spaces/1oKMv…

Great conversation with @cybernetic_lab on the future of embodied AI, robotics, and Web3 infrastructure. Listen to the full recording here 👇 x.com/i/spaces/1oKMv…

Happening tomorrow 👇 🎙️ X Spaces: Web3 x AI 🗓️ Friday, 08 May ⏰ 10:30 AM PT | 1:30 PM ET Moderator: @abdulalali Co-Host: @samy_cybernetic 🔗Link: x.com/i/spaces/1oKMv… Mark your calendars and set a reminder – see you!

Tokenized equities are approaching a structural inflection point. The largest tokenized equity now has more on chain holders than Tether’s USAT stablecoin, signaling that blockchain native capital markets are evolving from speculative experimentation into scalable financial infrastructure. Global equities represent an estimated $140T market, yet less than 1% has been tokenized. The opportunity is no longer theoretical. The next phase of adoption will be defined by institutional grade distribution, compliance architecture, and interoperable liquidity rails. What matters most is not simply asset tokenization. It is the emergence of programmable ownership models that can compress settlement cycles, expand global market access, and fundamentally reshape capital formation. The transition from crypto assets to tokenized real world financial primitives is accelerating.

"The entire market is undervaluing how big AI and crypto convergence is going to be." "These things are obvious in hindsight. They're never obvious in the moment." - @CryptoMichNL, CIO & Founder of @MNFund_

We're Miami-bound 🌴 @Decasonic will be at @consensus2026 (May 5–7). Our Founder and CEO, @paulhsu , is leading a workshop on Agentic Magic for Unlocking Growth. He’ll also be sharing: - Agent orchestration across workflows - How we're building a product-first firm to drive growth - Demos of our AI Operating System See you at Consensus! @CoinDesk 👉consensus.coindesk.com/agenda/event/-…

Decasonic led the latest round in Distinct Possibility Stuidos (@DPS_Studios). Consumer gaming is shifting back to persistent, social, always-on worlds. The teams who can actually build and operate at that scale are rare. John Smedley (@j_smedley) and the DPS team have done it before. Reaper Actual carries that operating depth into a persistent, open-world shooter built around emergent gameplay and real social interaction. Welcoming Bing Gordon to the Board. Steam Early Access is close. gamespress.com/Distinct-Possi…

The bar for crypto founders has changed permanently. It used to be: find a problem → build a solution → raise Now: find a problem → build → prove you can capture the value The founders breaking through are the ones who have crossed from builder to entrepreneur.

Learnings from today’s @decasonic AI Ship Day (ASD): Human Design Thinking + Systems Thinking + AI Critical Thinking. AI-native product ideation is augmented with humans and AI collaborating in the areas they each perform best. Humans drive creativity and imagination, while AI structures decision criteria, explains scoring rationale, and generates scenarios to pressure-test ideas. We believe AI should not only accelerate prototyping cycles for competitive advantage. The real advantage comes from AI augmenting how teams evaluate, critique, and prioritize what to build in the first place, aligning human judgment with AI-driven reasoning. For me, AI enabled me to remove personal bias on the product ideas I personally came up with. The real advantage for AI Native firms is to embrace AI across key workflows. This is the systems thinking approach that overlays design thinking and leverages AI for critical thinking. A few takeaways: 1. Stop manually ranking ideas. Instead, design AI decision systems. Simple rankings often obscure reasoning. High-performing teams define clear evaluation criteria, weight tradeoffs deliberately, and make assumptions explicit so decisions can be interrogated and improved. 2. Judgment is a loop for further collaboration workflows and improvements, not a moment for a single session. Effective workflows are iterative. Humans generate and refine ideas, AI critiques and structures feedback, and both improve through repeated interaction. 3. AI sharpens critical thinking, only if humans apply systems thinking. AI’s role is to surface blind spots, expose inconsistencies, and pressure-test logic. Final judgment remains human, but becomes more rigorous and transparent. 4. Written context work best over visual demos for AI collaboration. Videos are effective for storytelling, but structured written documents provide the substrate for deeper analysis. They enable AI to compare ideas, identify gaps, and synthesize insights across concepts. 5. Disagreement is signal. Real feedback is kindness (but it might not be "nice.") AI can surface where reviewers diverge and why. AI can also sort out humann bias. This turns hidden misalignment into productive discussion and leads to stronger decisions. The design challenge therefore becomes how to structure judgment loops between humans and AI. where human intuition leads, where AI challenges and refines, and how that interaction compounds learning over time. The next frontier stems from AI-native decision design. AI-native teams will not just build better products, they will build better ways of deciding what to build. Always be shipping. Always be learning.

Yesterday’s X Spaces was a deep dive into the state of crypto venture capital: what’s changed and how investors are navigating this market. From capital allocation → shifting expectations → new intersections like AI If you’re building or investing in this space, watch the clip below and listen to the full recording here 👉 x.com/i/spaces/1rxmq…

one of the key takeaways from our state of crypto venture capital (re @decasonic) is about speed to product market fit and its correlation with capital invested by venture funds: 1/ crypto benefitted from being the arena for experimentation. this drove a significant amount of funding for companies in a relatively pre-institutional adoption environment 2/ clear areas of adoption emerged (stablecoin, payments, neobank, privacy, and distribution-heavy areas - re: agentic economies). those companies (in part driven by "proven PMF" in their sectors) are now commanding a concentration of capital distributed and invested 3/ the benefit from AI is the rapid speed in iteration and experimentation. funding is reduced at the "experimentation," stage due to expectations. products can be shipped in days, and the result is the need to "prove," signals of adoption in the form of product-market fit validation

On Today’s X Spaces, we’re breaking down The State of Crypto Venture Investing. What you can expect: • Where capital is actually flowing right now • The real story behind “hot” sectors like AI x crypto and where the non-consensus bets are • How top VCs are thinking about valuations, round sizes, and founder expectations today • Why capital is concentrating and what that means for new ideas & early-stage founders • Tactical advice for founders raising (or about to start) in this market Moderated by @abdulalali , Featuring @justpat of Decasonic, @dunleavy89 of @VarysCapital , and @brezshares of @nolimithodl. If you’re building, investing, or just trying to understand where this market is heading, don’t miss this. Tune in here 👉x.com/i/spaces/1rxmq… at 12 PM CST | 10 AM PT | 1 PM ET

In case you missed it 👇 A deep dive on the state of crypto venture investing—what’s changing, where capital is going, and how founders should be thinking right now. Plenty of sharp insights in this one. Listen to the full recording 🎧 x.com/i/spaces/1rxmq…