Exciting Web3 Projects: Leaders Share What Piques Their Interest

hyperliquid is the one i keep flagging in our launch reviews. not because i’m trading there, but because they cracked a problem most of crypto refuses to admit is real: defi user experience that does not penalise the user for using defi.

what makes them interesting from where i sit: they shipped an order book on chain with cex level latency, ran a points program that did not collapse on tge, and converted speculative liquidity into product loyalty. across 223 launches at wnf agency, the projects that retain liquidity post airdrop are the ones that built a reason to stay before the airdrop happened. hyperliquid did that.

the broader thing they validated is that distribution does not require ve tokenomics, kol farms, or a marketing arms race. it requires a product traders return to without prompting. that is a quiet but expensive lesson for the next cycle of l1 and l2 launches.

Protocol Separation Unlocked Cross Client Portability

I’m watching Farcaster closely. Not for the usual decentralized social narrative, but because they’ve solved a specific infrastructure problem that most Web3 projects still treat as theoretical.

Running our media business, we evaluate crypto projects daily. Most of them are still stuck explaining why decentralization matters. Farcaster shipped something different. They built a protocol where your social graph and your content are portable across any client application. You own the data. The apps compete on UX, not on locking you in.

What caught my attention wasn’t the ideology. It was the execution model. They separated the protocol layer from the application layer cleanly. That means developers can build clients without asking permission, without forking the network, without fragmenting the user base. Warpcast is one client. There are 40 others now. Some are better for specific use cases. None of them can hold your data hostage.

We’ve been covering Web3 projects for years. Most social protocols died because they tried to be everything at once: the protocol, the app, the moderation layer, the monetization model. Farcaster just built the rails. Let someone else build the train.

The part that matters operationally: they have real traction with crypto founders and builders, not because of token incentives, but because the product works. Our team tested it internally for content distribution last year. The cross-client experience actually functions. That’s rare in this space.

The technical bet they made on Optimism for storage scaling was correct. Costs stayed manageable while the network grew. That’s the kind of decision that separates projects that scale from projects that collapse under their own gas fees.

I think Farcaster has a legitimate shot at becoming default infrastructure for identity and social data in crypto. Not because it’s ideologically pure, but because the architecture lets other people build on top of it without friction.

One Web3 project that has caught my attention is DeFi Kingdoms. This project masterfully combines decentralized finance with gaming elements, creating a vibrant ecosystem that promotes user engagement while providing utility to its native token, JEWEL. What piques my interest is the way DeFi Kingdoms has embedded financial tools within a game-like environment, making complex DeFi concepts more accessible to mainstream users.

For example, its play-to-earn mechanism incentivizes users not just to engage in gameplay but also to stake and provide liquidity, bridging the gap between entertainment and investment. With over 50,000 unique wallets interacting with the platform, it demonstrates a compelling use case for onboarding new users into the DeFi space. This innovation resonates with our mission at ChainClarity, where we aim to simplify complex blockchain concepts through our analyses of over 560 protocol whitepapers.

Furthermore, DeFi Kingdoms has shown promising growth metrics, including a multi-million dollar daily trading volume, which illustrates its potential to influence the broader DeFi narrative. The project utilizes AI-driven analytics to inform its ecosystem developments, aligning perfectly with our expertise in AI-powered content strategies and investment education. By offering financial literacy through engaging experiences, DeFi Kingdoms sets a precedent for future projects in the nascent Web3 space.

For the better part of a decade, I’ve watched the promise of real world asset tokenization collide with a persistent and structural problem: investors cannot accurately assess what they own. The question of risk, whether it’s the underlying asset, the smart contract, liquidity, or the regulatory framework, has remained largely unanswered. Unresolved information asymmetry is the single greatest barrier to the deployment of institutional capital at scale.

This is not a new challenge. Traditional capital markets spent generations building the infrastructure of trust that now allows trillions of dollars to move with confidence: ratings agencies, disclosure regimes, audited financials, standardized benchmarks. Digital asset markets have largely operated without equivalent scaffolding.

What gives me cautious optimism is that serious institutions are beginning to build that scaffolding. Particula, a German-based firm founded by Timm Reinsdorf, Carsten Hermann, and Nadine Wilke, is among the more rigorous examples. Through standardized risk ratings, real-time monitoring, and detailed asset analysis, they are applying to digital assets the same scrutiny that traditional markets have long demanded as a condition of participation. Their partnerships with S&P Global and Moody’s signal that the institutional architecture of finance is beginning to extend its standards into this space.

But ratings are only as reliable as the data that underlies them. For asset classes like real estate and infrastructure, where the underlying asset is physical, complex, and historically opaque, the integrity of the data layer is foundational. A rating built on incomplete or unverifiable asset records is a false assurance. This is why the work being done at the data layer, standardizing asset records, establishing provenance, and creating persistent and reliable information about underlying assets, is not peripheral to this transformation. An example of leader in this space is Building, Inc.

The firms building this transparency infrastructure, whether at the ratings layer, the data layer, or the governance layer, are constructing the market architecture that will determine whether institutional capital can responsibly enter this space at the scale it is capable of deploying. That’s a generational opportunity and it should be treated with the seriousness it deserves.

I see Web3 projects not in terms of their token price, but rather their foundation or plumbing. This is why I find Chainlink’s Cross-Chain Interoperability Protocol (CCIP) so fascinating. It is the TCP/IP of blockchains.

The challenge for enterprise-level Web3 adoption is not necessarily speed or the “wow” factor of blockchain; it is the dispersion of assets across separate and siloed data networks. CCIP serves as the universal connector that allows blockchains to securely communicate. To move blockchain from a speculative form of investment into an enterprise-level infrastructure, we must have cross-chain reliability — and CCIP provides the missing link or bridge to create the ability to move real-world financial assets across multiple ecosystems.

While we often become distracted by the speculation associated with a speculator, much of the true value is found in the much less exciting protocols that enable all parts of the ecosystem to work together. Until the underlying infrastructure becomes invisible, we will know we have achieved mass adoption.

I’m biased I work at BASIS. But that’s because I genuinely believe execution infrastructure is the most undervalued layer in crypto right now. That’s why I joined.

Most trading platforms compete on features. BASIS competes on determinism. Sub-50 microsecond latency, multi-asset support across BTC, ETH, SOL, and PAXG, and an LEI-registered Seychelles IBC that institutional allocators can actually underwrite.

What excites me isn’t the yield. It’s the underlying question it forces: who actually captures the premium when execution quality becomes the differentiator?

The next 12-18 months will separate platforms built for current conditions from those built for structural durability. BASIS is built for the latter.

The Web3 project that excites me most right now is Render Network. As someone who runs a GPU compute marketplace, I watch the decentralized compute space closely, and Render represents the most compelling implementation of distributed GPU rendering I have seen.

What piques my interest is their approach to the same fundamental problem we solve at GpuPerHour: GPU utilization inefficiency. Millions of high-performance GPUs sit idle across the world while creative professionals and AI teams desperately need access to that compute. Render Network attacks this from the rendering and creative side, building a decentralized protocol where GPU owners contribute idle capacity to a network that serves 3D artists, motion designers, and visual effects studios.

The technical execution is what separates Render from the dozens of other decentralized compute projects that have come and gone. They have solved the verification problem, meaning the network can confirm that rendering jobs completed correctly without requiring trust between parties. Their migration to Solana for the settlement layer dramatically reduced transaction costs, making micro-payments for small rendering jobs economically viable for the first time.

From my vantage point in the centralized compute marketplace, I see Render as complementary rather than competitive. They serve creative workloads that benefit from distributed processing, while our marketplace serves ML training workloads that require low-latency interconnected clusters. The broader trend both platforms validate is that GPU compute is becoming a commodity with multiple access models, and the era of compute scarcity is ending faster than most people realize.

The potential I see is a future where any GPU owner anywhere participates in a global compute economy, whether through centralized marketplaces like ours or decentralized protocols like Render.

EigenLayer is the project I keep coming back to. Restaking turns Ethereum’s economic security into a reusable commodity that other protocols can rent, which solves the most expensive bootstrapping problem in crypto: you no longer need to issue a new token and beg validators to secure your network. What piques my interest is less the financial mechanic and more the architectural consequence – it shifts Web3 toward a shared-security model that mirrors how AWS turned compute into a substrate.

If actively validated services compose cleanly, we could see entire categories of middleware (oracles, bridges, sequencers, DA layers) launch without the security cold-start problem. That’s the kind of primitive that quietly reshapes an entire stack.

The Web3 project I’m most excited about is the Liquid Network, Blockstream’s Bitcoin sidechain. It gives users a faster, confidential settlement without redefining what “Bitcoin” means: issued assets, atomic swaps, one-minute blocks, secured by a federation of exchanges with a clean withdrawal path back to the base layer.

What piques my interest is what it isn’t. It is not competing for monetary premium and not “farming yield” which is a phrase I am not a fan of. It’s under-the-hood plumbing. The kind that Parker Lewis writes about when he says Bitcoin doesn’t need to be everything, it just needs to be money. Liquid lets the rest of the financial stack accommodate Bitcoin, rather than asking Bitcoin to become a casino floor.

Most people think Web3 is just crypto scams and overpriced digital art. They are wrong. Look at what is happening in my industry. Traditional insurance is a bloated, adversarial nightmare. You file a claim, and then you fight with an adjuster for three months just to get what you are owed. It is completely broken.

But Web3 smart contracts fix this instantly. Look at parametric insurance platforms like Arbol. They use blockchain and satellite data to insure agricultural businesses against bad weather. If the rainfall in a specific zip code drops below a predetermined inch count, the smart contract triggers. The farmer gets paid automatically. Zero adjusters. Zero paperwork. Zero delays.

That is real innovation. You completely remove the human friction from the claims process. We’re actively studying this framework at Insurance Panda. The moment you strip out the administrative bloat of traditional claims departments, your operating margins skyrocket. Stop looking at Web3 as a currency. Look at it as an automated legal contract. That is where the actual money is being made.

Indeed, there has already been significant momentum generated within the Web3 sector as evidenced by the real-world assets (RWAs) within blockchain technology, particularly by way of tokenization. An excellent case study that illustrates this trend is BlackRock’s BUIDL fund which has enabled institutional investors to tokenize their investments in short-term U.S. Treasuries via a digital fund token as opposed to only relying on traditional fund infrastructure. According to a March 2025 announcement, Securitize reported that BUIDL surpassed $1 billion in AUM (assets under management) demonstrating that this use case is far beyond a speculative NFT-type of offering.

What does this mean to the financial services industry? Tokenized assets enhance programmability in regards to various financial products. In practice, such assets will improve settlement, transparency, collateral usability, and overall access to yield-generating instruments executed digitally. This is important because these new innovations are not made simply “to create better blockchains”. They have a distinct advantage over traditional resource allocation methods due to their programmability. Therefore, for most companies engaged with blockchain technologies, the primary lesson learned is that Web3 technologies work best when they remove barriers to existing transactions rather than when they compel users to adopt a new technological platform.

The Web3 project I keep coming back to is Hyperliquid. Less for the trading volume — every piece on it covers that — and more for what their team composition tells you about where Web3 hiring is going.

Three reasons it’s the most interesting talent story in the space right now:

– 11 people, $844M revenue. That ratio is the most extreme in crypto and one of the most extreme in tech globally. Most L1s and DEXs run engineering orgs of 50-150 for a fraction of the revenue. Hyperliquid is the live proof that in modern infra, four elite engineers can replace eighty average ones — and crypto’s open hiring market means new founders can actually act on that thesis. We’re already seeing that change how clients brief us.

– Self-funded, so no token dilution. Compensation in crypto leans heavily on token grants, and when a project has VC overhang baked in, senior engineers know their allocations get crushed at unlock. Hyperliquid avoided that entirely. The result: they pulled Jane Street and Hudson River Trading quants into a Web3 role — people who’d never have considered crypto in 2021. That doesn’t happen without alignment that legitimately differs from the standard playbook.

– The team isn’t crypto-native. JS/HRT/Harvard math/CS profiles — that pool used to ignore Web3 entirely. Hyperliquid proving you can pull this profile is the most underrated structural shift in the industry, and it’s quietly resetting comp benchmarks across the board. If you’re hiring senior protocol engineers in 2026, you’re now competing with finance, AI labs, and Hyperliquid-style teams.

What I’m watching: whether the deployer ecosystem absorbs senior engineers from broader DeFi. Independent deployers (Trade.xyz, etc.) now drive half of Hyperliquid’s volume. If those teams start out-recruiting protocol shops, the talent gravity around Hyperliquid becomes bigger than the core team itself — and that has second-order effects on every DeFi protocol’s hiring funnel.

I haven’t always viewed Web3 with any kind of religious fervor. I’ve spent 20+ years in various forms of SEO, AEO, and most recently LLM visibility, primarily in financial services and healthcare, so I know how to tell real innovation from noise on the web. Each wave of technology has huge promises. It takes many years to explain why it actually solves any problems. All my first impressions of most of Web3 are the same: too much talk, very little utility.

And with that, it remains the only project I’m watching. Not because it has start-up vibes, but because it’s becoming more of an infrastructure play. Other chains come and go as part of the cycles but Ethereum sits beneath it all, as a solid base for experimentation. Developers still work hard. Contracts are still the foundation. People still build, even when the bubble is gone. The truth is, this could be a good thing.

What interests me is not so much tokens, but trust systems. Trust signals dictate what people actually see online in search and AI visibility work. Content quality is not sufficient. Search engines, AI applications and users are constantly assessing credibility, authority and whether information has been manipulated. That pressure is all the more important in finance and healthcare where misinformation has real consequences.

That’s where parts of web3 get interesting. I am curious if decentralized identity and blockchain-based verification can be part of the solution for reducing fake authority signals, spam networks, and synthetic content pollution. AI search attribution is still a mess. LLMs remix information, sources blur together, trust becomes harder to follow. If blockchain systems can improve ownership, provenance and verification around information, that has value far beyond crypto speculation.

Meanwhile, most Web3 projects still seem like a solution in search of a problem. UX friction is still high, compliance is still not solved in regulated industries and many projects solve for edge cases rather than operational realities.

What keeps me interested is simple: if these systems make it easier to verify trust online and are seamlessly integrated into how people search for and validate information, then they matter.

One project I find genuinely compelling is Ethereum’s account abstraction initiative (ERC-4337). It’s not flashy in the way most Web3 projects are, but what it’s solving—removing the friction between users and onchain applications—is foundational.

Right now, wallet management and gas fees are the single biggest barrier to mainstream Web3 adoption. Account abstraction essentially lets developers build experiences where users don’t need to understand the underlying infrastructure to interact with it. That’s the same challenge we navigate in traditional software: abstracting complexity without sacrificing capability.

What excites me most is what this unlocks for enterprise adoption. Once the UX barrier drops, the conversation shifts from “should we explore Web3?” to “how do we build on it?” and that’s where purpose-built development partners become critical.

I am most interested in Arweave because permanent storage changes the trust model of the internet in a very understated way. Most platforms treat history as editable, removable, or fragile. A system built around persistence creates a stronger foundation for records, publishing, community memory, and digital accountability, all of which become more important as more economic and cultural activity moves online.

Its potential stands out because permanence is not just technical, it is behavioral. When users know information can remain accessible, it can reshape how projects document governance, preserve research, and prove authenticity. That creates long-term value far beyond speculative market cycles.

As the Founder & COO of TAOAPEX LTD, an AI technology services company, I naturally view Web3 through the lens of how it can augment or transform AI development and deployment. Among the many innovative projects, one that particularly excites me, outside of our direct ventures, is Filecoin and its underlying InterPlanetary File System (IPFS).

What piques my interest significantly is its focus on decentralized, persistent data storage. For AI, data is paramount. The current centralized cloud storage model, while efficient, presents challenges regarding data sovereignty, censorship resistance, and single points of failure. IPFS and Filecoin offer a robust alternative, creating a global, peer-to-peer network for storing and sharing data.

From an AI perspective, this has profound implications. Imagine AI models trained on datasets with immutable provenance, where data integrity is cryptographically assured, and access can be governed by smart contracts. This opens doors for more trustworthy AI, facilitating federated learning initiatives without central intermediaries, and enabling new marketplaces for high-quality, verifiable datasets. The ability to store massive amounts of training data in a resilient, decentralized manner is a foundational piece for building the next generation of transparent and equitable AI systems. It’s about empowering data owners and ensuring the longevity and accessibility of critical information for future AI innovation.