Web3’s Coordination Layer Meets Real Adoption

ETHConf NYC shows how crypto is moving closer to practical economic activity.

--  Justin Patel, Venture Investor at Decasonic

ETHConf NYC was useful because the signal came from more than the main conference.

Participation on the main conference floor seemed to taper as the week went on, but the side events stayed packed. That ended up being part of the signal. A lot of the best conversations happened outside the official programming, in smaller rooms where founders, investors, operators, and institutions were more direct about what they were seeing and taking the key action to drive adoption.

The week was a mix of ETHConf programming at Javits (Jun 8-10), builder and crypto side events, AI-within-crypto conversations, centralized exchange events, RWA and TradFi-focused gatherings, founder and VC dinners, portfolio company meetings, and a lot of pitches. Decasonic also hosted The Capital Table with Teknos near Javits, bringing together investors, allocators, and operators for a more focused conversation around Web3, AI, and digital assets.

The most valuable part of the week was seeing the same themes repeat across different rooms. Stablecoins came up at our breakfast, in VC conversations, and in more institutional settings. AI agents came up in founder pitches, AI-within-crypto conversations, and product discussions. Tokenization and RWAs showed up in both crypto-native and TradFi-focused events. Market structure, wallets, distribution, and compliance kept coming up as the practical constraints behind most of these categories.

The tone felt more grounded with institutional grade conversations than prior cycles. People were still excited, but the better conversations were less about broad narratives and more about what is getting used, who the customer is, how distribution works, and where revenue can show up. It also helped that the week had real New York energy, with “Knicks in 5” somehow finding its way into half the conversations.

For Decasonic, that was the main takeaway. The market is moving toward practical adoption. Web3 and AI are still early in their convergence, but the areas that felt most interesting were the ones tied to real workflows: settlement, identity, orchestration, collaboration, expertise, data services, blockchain verification, distributed ownership, trustless transactions, and agentic financial infrastructure.

Key Takeaways

Stablecoins for the agentic economy is the emerging opportunity.   Across the week, stablecoins felt like the clearest adoption story. They were discussed as payment rails, treasury infrastructure, cross-border settlement, fintech infrastructure, and a future rail for agentic transactions. The conversation was not just about stablecoins existing. It was about who owns distribution, which use cases are already working, and how stablecoins reach users who do not think of themselves as crypto users.

Web3 x AI is strongest when it is tied to actual workflows.The more useful AI conversations were not about generic agent hype. They were about what agents need to act: wallets, permissions, expertise, data services, orchestration, identity, payments, auditability, privacy, and better interfaces. That came up in privacy-focused conversations, founder pitches, and investor discussions. The practical version of the thesis is simple: AI can make Web3 easier to use, and Web3 can better coordinate AI systems for value transfer, ownership, and verification.

Tokenization and RWAs are being judged by demand.RWA and TradFi-focused conversations were more disciplined. The market is not short on assets that can be tokenized. The harder question is where tokenization improves access, settlement, liquidity, reporting, or distribution. The stronger teams were not only explaining what they could put on-chain. They were explaining who wants it, why the workflow is better, and how demand gets built.

Top founders are still innovating in crypto and AI. AI has raised the floor for demos. More products look polished earlier, which makes surface-level product quality less useful as a signal. The best founders at ETHConf were specific about the customer, the wedge, the go-to-market motion, and the business model. The weaker pitches were easier to spot because they leaned too much on category language without enough customer evidence.

The investor conversation is active but more selective.VC events and closed dinners were useful for reading sentiment. Investors are still looking closely at Web3, AI, fintech, stablecoins, and tokenization, but the bar is higher. The questions are sharper: what is being used now, what is durable, what can monetize, and what has a distribution advantage?

The Capital Table

One of the highlights of the week was hosting The Capital Table with Teknos near Javits.

The goal was to create a smaller, higher-signal room during ETHConf for investors, allocators, and operators. It was not meant to be a pitch session. The value came from bringing together good people for a direct conversation on where capital is moving across Web3, AI, and digital assets.

The breakfast reinforced a few themes from the rest of the week. Investors want to see clearer demand and distribution, especially in a slower market. AI agents are becoming part of the Web3 conversation, particularly around wallets, payments, identity, and financial workflows. Institutional adoption is real, but it comes with a higher product bar around compliance, reporting, custody, and reliability.

The smaller format made the discussion better. In a large conference setting, people often stay at the narrative level. In a room like this, the conversation gets more direct: what people are actually seeing, which categories feel investable, where founders are ahead of the market, and where the market still feels too early.

It was a strong room with good conversations and good people. We plan to host more of these

Builder and Crypto Side Events

The builder and crypto side events were useful because they showed where founders are trying to turn infrastructure into actual products.

A lot of attention was still going toward rails, protocols, wallets, agent tooling, privacy, and developer infrastructure. The better conversations were about what sits on top of that infrastructure: apps, interfaces, workflows, and use cases that bring users back.

That is where value starts to move back down to the rails.

This showed up across the week in different ways. Stablecoins became more interesting when tied to payments, treasury, and agentic transactions. Wallets became more interesting when paired with better interfaces and identity. On-chain markets became more interesting when connected to actual liquidity, distribution, and user behavior.

Agent tooling became more interesting when tied to workflows around orchestration, expertise, data services, verification, and financial execution.

That is the important shift. Crypto already has a lot of infrastructure. The next phase is about the products that make that infrastructure useful enough for people, institutions, and agents to use repeatedly.

The best founder conversations during the week were focused on that gap.

AI Within Crypto

AI within crypto came up across founder meetings, side events, and investor conversations, but the best discussions were more practical than narrative-driven.

The main question was where AI actually improves the crypto user experience or creates new on-chain activity. A lot of the strongest examples were around agents, wallets, trading workflows, research, payments, and user interfaces. Crypto is still difficult for most users to navigate. AI can help abstract that complexity by turning user intent into actions across wallets, protocols, markets, and applications.

The agent conversation was the clearest example. If agents are going to act on behalf of users or businesses, they need ways to hold value, make payments, operate within permissions, and leave an audit trail. That makes wallets, identity, reputation, and payment infrastructure more important.

The takeaway from ETHConf was not that every AI product needs crypto. It was that crypto becomes more relevant when AI systems need to transact, coordinate, verify behavior, or interact with financial infrastructure.

That is where the intersection felt strongest during the week: AI making crypto easier to use, and crypto giving AI systems better rails for economic activity.

Exchange and Market Structure Conversations

Centralized exchange events and market structure conversations were a reminder that distribution still matters.

Crypto often talks about decentralization, but many users still enter the market through centralized platforms, wallets, fintech apps, and custodians. These platforms control onboarding, liquidity, trust, and customer relationships. That makes them important even as more activity moves on-chain.

The most interesting conversations were about how centralized and on-chain systems interact. Stablecoins, tokenized assets, on-chain markets, and agentic transactions all need distribution, liquidity, compliance, and user trust. CEXs and institutional platforms may not be the final destination for every product, but they remain important bridges into broader adoption.

RWA and TradFi-Focused Events

The RWA and TradFi-focused conversations were more grounded than the category sometimes sounds.

TradFi was not necessarily the center of gravity on the ETHConf floor itself, but it showed up clearly at the relevant side events, closed conversations, and RWA-focused gatherings. The room looked different too. More suits than you typically see at a crypto conference, and more questions around implementation, compliance, reporting, custody, and integration.

The serious conversations were about workflow improvement. Tokenization has to make something faster, cheaper, more liquid, easier to distribute, easier to report on, or easier to settle. Otherwise, it is hard to justify the added complexity.

That was especially clear in institutional conversations. Traditional financial users are not buying crypto because it is novel. They care about reliability, trust, liquidity, and how these products fit into existing systems. The best RWA teams understand that.

The category is still interesting, but the bar is clearer. Tokenization needs demand, not just supply.

Founder Pitches

The pitches were one of the most useful parts of the week.

There were a lot of founders building across AI, crypto infrastructure, stablecoins, tokenization, wallets, market structure, and on-chain applications. The best pitches were tight. They made the problem clear, explained the customer, showed why the timing matters, and had a believable path to revenue.

Some of the best moments were also more informal. I loved posting up in a coffee shop for a few hours, meeting founders between events, and learning what people were building in a more casual setting. Those conversations often gave a better read on how founders think than a polished pitch deck.

The weaker pitches usually had too much category language. They sounded like they were built around a theme rather than a customer problem. That is especially noticeable now because AI makes it easier to create polished demos and polished language.

The signal came from specificity. Founders who could explain customer urgency, distribution, and why their product needed Web3 or AI stood out.

Portfolio Company Meetings

Spending time with portfolio companies was another valuable part of being onsite in the thriving NYC crypto ecosystem.  

Conferences are useful for sourcing new companies, but they are also useful for testing existing portfolio themes against the broader market. Portfolio meetings gave us a chance to compare what our companies are building with what investors, founders, and potential customers were discussing across the week.

That context is helpful. If a theme shows up in portfolio meetings, founder pitches, VC dinners, and side events, it gives a better read on where the market is moving. Our meetings helped pressure-test which parts of the Web3 x AI thesis are becoming more obvious and which still need more education or customer proof.

What This Means for Decasonic

Coming out of ETHConf, the areas that felt most relevant for Decasonic mapped closely to where we are already spending time: AI interfaces and agents, AI applications and services, internet capital markets, AI networks and marketplaces, physical AI, and consumer AI.

At the conference, those broader themes showed up through the parts of the market moving closest to real usage: stablecoin settlement, agentic payments, wallets, tokenized ownership, on-chain markets, RWA infrastructure, privacy, verification, and institutional crypto workflows. The stronger conversations were tied to practical systems that help users, institutions, and agents coordinate activity through settlement, identity, orchestration, data services, ownership, and trust.

We are most interested in founders building products where Web3 or AI creates a clear advantage. That can mean better payment rails, more programmable financial systems, agents that can transact safely, stronger ownership and distribution models, or improved verification and trust infrastructure.

The market does not need more vague category creation. It needs products that solve real problems and can become durable businesses.

Closing Thoughts

ETHConf NYC was valuable because it brought together several types of signal in one week: main conference programming, side events, VC conversations, closed dinners, founder pitches, portfolio company meetings, and the breakfast we hosted. 

The best conversations were grounded in what is actually moving toward usage. Stablecoins showed up as settlement infrastructure. AI agents raised practical questions around wallets, permissions, identity, payments, and orchestration. Tokenization and RWAs were evaluated through demand, distribution, and workflow improvement. Verification, privacy, and data services became more relevant as AI pushes more activity toward software-driven execution.

That is a healthy direction for the market. The conversation is moving away from broad category creation and toward products that can support real users, institutions, and agents.

At Decasonic, we are excited to partner with founders building across Web3, AI, and the intersection of the two.

If you are building there, I would love to connect.

The content of these blog posts is strictly for informational and educational purposes and is not intended as investment advice, or as a recommendation or solicitation to buy or sell any asset. Nothing herein should be considered legal or tax advice. You should consult your own professional advisor before making any financial decision. Decasonic makes no warranties regarding the accuracy, completeness, or reliability of the content in these blog posts. The opinions expressed are those of the authors and do not necessarily reflect the views of Decasonic. Decasonic disclaims liability for any errors or omissions in these blog posts and for any actions taken based on the information provided.