Here's the argument I hear constantly: onchain privacy will never find product-market fit. Nobody cares except a handful of fundamentalists—the kind of people who aren't even on Twitter because they actually practice what they preach.

But think about it. I'm always preaching about privacy, yet I use macOS and Gmail. Does that make me a hypocrite? I think it makes me exactly the kind of user that proves the argument wrong.

Privacy has never been binary. It's always been about tradeoffs. And there are millions of people like me who care about privacy but make conscious decisions to trade some of it for convenience. That's not a micro-niche, that's the entire market being ignored.

Privacy as a Spectrum of Decisions

How much information am I willing to give, and what do I get in return? I use Gmail because the interoperability is worth it. That convenience matters more to me than Google reading my emails. Would I switch to a private alternative with the same UX? Absolutely.

But we're not there yet. So I'm choosing to give them access, it's a conscious decision.

We make these calculations constantly. I refuse to use certain centralized exchanges because their KYC requirements make me uncomfortable. I don't know how they handle my data, I don't trust their government connections, and the risk outweighs the benefit. Sure, I lose the UX polish and customer support, but that's my choice.

Anonimity vs Agency

The biggest mistake people make is thinking onchain privacy is a product for some tiny niche of privacy purists, people who demand absolute anonymity, zero information revealed, ever.

That's not what this is about.

Onchain privacy means returning to cypherpunk roots: fighting for freedom and restoring our agency over information. Privacy is the power to selectively reveal oneself to the world. Not hiding everything or exposing everything, choosing.

Bringing privacy to crypto means enabling 'selective disclosure' onchain. We need the ability to choose what's private and what's public without consequences.

But today's crypto makes this impossible. Everything is broadcast and validated publicly, all in the name of "transparency". There's no choice about it, just forced exhibition on a public ledger.

Privacy and Accelerationism: The Paradox That Isn't

The title of this post sounds contradictory coming from a privacy advocate, but someone actually used this against me once: "Accelerationism and free market idealism says privacy is dead. People are incentivized to let information flow freely. So why are you wasting your time?"

They had it exactly backwards.

Some accelerationists think privacy is dead, that we're inevitably headed toward total information transparency. But that confuses forced transparency with incentivized information flow. One is surveillance, the other is a market.

Onchain programmable privacy isn't opposed to the accelerationist future, it's a prerequisite for it. I align heavily with accelerationist thinking, and programmable privacy is core to that vision.

If people are going to sell their data, they need to be able to choose whether to sell it.

Right now, I use Google and they continuously extract everything from me. There's no negotiation, it's a theft dressed up as a service agreement. And here's the main problem: we can't build a web3 alternative where "no one owns the data" or where it's simply not stored by centralized parties.

Because most web2 giants can't have decentralized equivalents with current blockchain design. Their business models require personal information, and I'd rather give my data to Google, a closed centralized entity, than broadcast it to the entire world permanently in a transparent blockchain.

But now there's a chance. For the first time, we can build web2-scale companies on crypto rails.

When I talk about "selling your data," I don't mean getting $5 for revealing my name is Fran and I'm from Argentina. I mean the new internet's incentive structures will push you toward strategic information sharing.

Examples:

DAO voting: You can vote anonymously if you want. But vote publicly with your identity attached? You gain reputation. Humans trust humans, so you can leverage your social capital, and you're incentivized to reveal yourself.

Decentralized streaming: Don't want to pay the subscription in tokens? Share your viewing data and preferences so creators get better analytics. Your data is the payment.

AI-resistant social media: There's this new app where, to filter spam, you either pay a high entrance fee or you KYC and share your data. If you KYC, you can't make new accounts after getting banned, but you don't pay the fee. Your identity becomes the collateral.

The Moment is Now

There's still work to do. Scalability isn't quite there. Developer experience isn't web2-smooth yet. But the tools exist, and they're only getting better.

We've hit the inflection point where adoption can actually take off, because onchain privacy has reached production-ready maturity.

The entropy we're about to experience in crypto will be unlike anything we've seen.

Conclusion

Privacy is a spectrum, and it's about to unlock the future crypto was supposed to enable.

Not because everyone will suddenly become privacy maximalists. But because selective disclosure is the missing piece that makes the data economy actually work.

Some accelerationists think privacy is dead, that we're headed toward total information transparency whether we like it or not. But that confuses the destination with the path.

A future where information flows freely through incentivized exchange requires agency. You can't sell what you don't own. And forced transparency it's just surveillance with extra steps not a market.

Onchain privacy doesn't mean hiding everything, it means finally having choice.

The choice to vote anonymously in a DAO or leverage your reputation for influence.

The choice to keep your financial history private or share it for better credit terms.

The question isn't whether privacy will find product-market fit, it's whether you'll recognize the opportunity before it becomes obvious, and what you're going to build with it.

I’ve faced hundreds of ideas across crypto over the years; from DeFi experiments to social finance, Hamster races and metaverse lands… I’ve seen teams appear and dissolve and hype cycles die and revive again.

Most of these projects are iterative, marginal improvements on known design spaces. But occasionally, you encounter something that forces you to recalibrate, something that doesn't fit existing categories because it's creating an entirely new one.

For me, that moment was Aztec.

Privacy is consensus now, I've written before about why privacy will define crypto's next era. What felt contrarian in 2022 is now consensus. The question has shifted.

Not if privacy matters, but how do you get exposure to it?

Which projects are building actual infrastructure? Which teams have the technical depth to execute through multiple cycles? Which architectures will still matter in five years?

This is my attempt to compress months of research, building, and technical discussions into one thesis: what Aztec is, where it's going, and why its blockspace will become some of the most valuable in crypto.

Disclaimer: I've created 330+ daily Aztec memes. Published 30 weekly ecosystem summaries. Helped build the first Aztec NFT collection. After contributing for a year without any financial incentive, I recently received a grant to support ecosystem startups. I'm also participating in the token sale. You can read this as someone pumping their bags. Or you can read it as someone who spent a year building in public because they believe this will matter. Either way: NFA.

The Bet

Aztec is a bet that blockchains without privacy will become obsolete.

It's the first complete architecture for that future: proven cryptography, decentralized from genesis, and a team that can execute. Everything aligns with what crypto should have been building from the start.

What is Aztec and why should I care?

Aztec is a privacy-focused L2 that supports both public and private execution with corresponding state management. The architecture allows developers to compose privacy and transparency within the same application, something that's structurally impossible on existing chains. The developer experience centers on Noir, Aztec's domain-specific language for ZK circuits.

If you've built ZK circuits before, you know the pain. Circom? Halo2? You're writing cryptographic proofs by hand, like coding in assembly when everyone else has high-level languages.

Noir changed that. It abstracts the complexity without dumbing down the capabilities. It’s genuinely a great product, developers genuinely enjoy using it.

This matters because developer experience is the primary bottleneck for ecosystem adoption. Noir solved it early and keeps improving.

Here's the key advantage: Noir is becoming the standard for ZK development, and it works on any blockchain. Developers can use Noir to build ZK applications on Ethereum, L2s, Solana (soon), or any other chain. As they adopt it for privacy, scaling, or verification use cases across the ecosystem, they gain natural familiarity with Aztec's execution environment.

The language is a moat.

Why it matters that Aztec is an L2

Let's address the confusion: Aztec isn't comparable to other L2s you know.

Optimism, Base, Arbitrum, zkSync… these are scaling solutions. Ethereum with better throughput and lower fees, trading some decentralization for performance. None of them address privacy.

This matters because we've developed immunity to "new L2" launches after being buried in governance tokens with no purpose. But Aztec isn't competing on transaction costs. It's solving a fundamentally different problem: programmable privacy.

Could Aztec have been an L1? Sure. Technically simpler but strategically wrong. By building on Ethereum, Aztec inherits key traits: the strongest security guarantees in crypto, minimal trust assumptions, and alignment with actual decentralization principles.

There's also a practical unlock: bootstrapping ecosystems from zero is brutal. As an L2, Aztec connects directly to Ethereum's liquidity and enables native cross-chain messaging from day one to solve the cold start problem. You don't need to rebuild DeFi infrastructure, you extend it with the privacy layer it's been missing.

Day 0: Seeding the Dark Forest

When Aztec launches mainnet, I don't expect immediate fireworks. No explosive transaction volume or TVL races.

The initial goal is more fundamental: prove that privacy can scale, be composable, and actually work at the execution layer, unlocking a blue ocean of opportunities for builders.

I think of mainnet launch as seeding the infinite dark forest. The first months will feel quiet compared to what's coming.

It takes time for builders to internalize what programmable privacy unlocks. I've spent some time in this ecosystem, and that immersion moved me past the surface level "privacy is cool" reaction into understanding what changes when privacy becomes programmable.

Every builder will need that same immersion before they build something that matters. You don't discover new design spaces by reading documentation, you discover them by roaming in the dark forest until your eyes adjust. The breakthrough applications will come from builders who've spent months experimenting, failing, and gradually internalizing which patterns unlock value. That process can't be rushed.

The applications that will define this space haven't been built yet. They couldn't be because the rails didn't exist, and that's what's changing.

The growth thesis - Two phases

I see Aztec's evolution unfolding through two phases, each reinforcing the other.

Phase 1: Privacy for everything you use

The first phase brings privacy to existing crypto infrastructure. Interact with Uniswap, Aave, or any application on any chain, but privately, with access to the same liquidity. Everything you do in crypto today can be "Aztecified," shielded under one shared anonymity set.

Think Aztec Connect 2.0, but composable.

Phase 2: The unpredictable frontier

The second phase unlocks once developers internalize programmable privacy. Aztec evolves from a privacy shield into a design space for entirely new patterns: hiding information conditionally, revealing data selectively, native account abstraction, composing private and public state within the same application.

This is where entropy kicks in. No one can predict what emerges because this toolset has never existed.

If Phase 1 turns Aztec into a liquidity black hole, Phase 2 turns it into a creative frontier; new forms of coordination, governance, and computation that weren't previously possible.

Together, they could make Aztec one of the few networks that truly matters. Let's examine both paths in detail.

Path One: Aztec Connect on steroids, the liquidity black hole

Aztec Connect was the precursor of Aztec network, a privacy bridge for DeFi. You could interact with protocols like Uniswap and Aave privately. But execution was limited... complex integrations and poor UX.

Then came Noir. It lowered the barrier for developers, making zk-apps something any motivated builder could create. With that foundation, Aztec was rebuilt entirely from scratch, this time as a fully programmable privacy layer where anyone can integrate and build.

The first phase of Aztec's growth will look like Aztec Connect 2.0, but without the limitations. Imagine using Uniswap, Aave, or Polymarket privately, paying a small fee for privacy while keeping access to the same liquidity you already trust. Everything you interact with today, but shielded.

Cross-chain bridges will be critical here. Aztec is already supporting top teams building these components.

The lesson from other chains is clear: liquidity fragmentation kills network effects. Privacy must be aggregated, not isolated, and that's why Aztec will be connected to the biggest liquidity silos in crypto from day zero.

My thesis is that on-chain privacy will be a "winner-takes-most" market. Anonymity sets compound reflexively, the more TVL that moves into the shielded pool, the stronger the gravitational pull becomes. As this happens, Aztec becomes a liquidity black hole.

Over time, we'll see vertical integrations emerge. At first, they'll be hyper-specific: "Uniswap Connect", "Aave Connect", "Polymarket Connect", "Hyperliquid Connect", each one a private wrapper around a single protocol.

But as the ecosystem matures, I expect these to consolidate into broader primitives: "DeFi Connect", "Memecoin Trenches Connect" (?), "Governance Connect." The granular apps will prove the concept and the aggregated layers will scale it.

The trajectory looks like: privacy legos get built → adoption compounds → blockspace demand rises.

Path Two: The new horizon, programmable privacy as a primitive

Most builders initially struggle to grasp what "programmable privacy" means beyond "transactions are hidden".

The real unlock is “information asymetry”: you can hide information based on logic you define. Group membership. Time locks. Price thresholds. Proof of some external condition. Any logic you can encode.

Examples:

• A DEX where only the trader sees their own orders, but liquidity providers see aggregate flow

• A DAO treasury where transactions are private by default, visible only to members, public after a time delay

• An AI agent that monitors your wallet for tax optimization, your activity stays private year-round, selectively disclosed to the agent only when needed

• A lending protocol where your collateral position is private until liquidation threshold, then becomes public

I'm not claiming these are killer apps idea, I'm just trying to illustrate a design space that didn't exist before. On transparent chains, conditional visibility can't be built. With programmable privacy, it becomes a primitive anyone can experiment with.

This is why the market can't price Aztec yet. Because it's not iterating on known design patterns, it's unlocking an entirely new category. A blockchain with composable private state at the execution layer has never existed before, and the applications that emerge from that will be impossible to predict because the constraints that shaped every previous blockchain no longer apply.

Aztec shifts crypto from single-state (everything public) to dual-state (public and private). That additional dimension doesn't just enable new applications, it changes the fundamental design space.

Aztec needs to sell blocks.

When you zoom out, the thesis is simple: Aztec blockspace will be valuable.

Every L2's job is to sell blocks. Aztec's blocks will be in high demand because they enable something no other chain can: composable privacy at the execution layer.

But potential blockspace demand alone isn't enough for long-term conviction. If you accept the privacy thesis, Aztec is clearly asymmetric. But execution risk is real, and at this stage, you can't commit based on vision alone.

What makes Aztec worth betting on is how it's being built: relentless decentralization and an S-tier deep tech team.

Decentralization

Aztec launched as a Stage 2 rollup, fully decentralized from day one.

I've written before about the narrow window to build permissionless privacy that reaches escape velocity before regulatory capture becomes possible. To become crypto's privacy layer, Aztec must match at least Ethereum's level of decentralization, it must pass the Bahamas Test: if the entire team disappeared tomorrow, the network keeps running.

Satoshi achieved that from genesis. Ethereum evolved into it over years. Aztec launched with it.

The numbers validate this. Aztec testnet peaked at 22,000+ nodes. Conservatively assuming 95% are bots trying to farm non-existent airdrops (an extremely pessimistic estimate) that's still 1,100+ real nodes running without economic incentive.

UPDATE: As of today, Ignition Chain has 678 node stakers with real capital at stake. That number is climbing sharply during the token sale, which suggests the 1,100 estimate for genuine testnet participation wasn't far off.

Most L2s launch with sequencers controlled entirely by the founding team. Aztec is more decentralized at launch than all the existent rollups are today.

The Builders Behind the Curtain: A Deep Tech Approach

Aztec has been building for eight years with cryptographers and systems engineers who've advanced the state of the art in zero-knowledge cryptography. They pioneered PLONK, one of the most significant proving systems in modern cryptography. They invented Noir, the most developer-friendly language for zero-knowledge development.

Over the past year, I've met many of them: the wizards who built the VM from scratch, the co-founders, community leads, BD team, marketing. Each is genuinely obsessed with their domain and executing at a high level.

What's telling is the respect Aztec commands across the privacy space. Developers who study the landscape seriously converge on the same conclusion: Aztec represents the most credible path to production-grade privacy infrastructure.

That credibility comes from being a deep tech company. Aztec didn't “just” build a product, they advanced the underlying science to make their architecture possible. This is why the "8 years and nothing to show" completely misses the point.

Aztec shipped products with real users during that time. But they concluded that truly programmable on-chain privacy required rebuilding from the ground up, which is what Aztec network is today.

The eight-year timeline might seem long in crypto, but it's typical for deep tech companies. Unlike products built on existing infrastructure, advancing fundamental technology requires extended R&D cycles. Companies that push the underlying science forward operate on different timelines than those iterating on state of the art technology. When deep tech reaches its go-to-market moment, adoption accelerates rapidly and Aztec is reaching that inflection point now.

Final Thoughts

The entire thesis compresses to one claim: Aztec blockspace will be some of the most valuable in crypto.

Phase 1 turns it into a liquidity black hole and phase 2 turns it into a creative frontier. Together they position Aztec to become the privacy infrastructure the entire ecosystem depends on.

I've spent nearly a year building in this ecosystem without compensation because I believe this thesis will play out. You can join the boat with me or watch from the sidelines, either way, NFA.

The Five Forces Converging on Privacy

This isn't speculation or wishful thinking from a privacy advocate. Five distinct, powerful forces are converging simultaneously to make blockchain privacy inevitable:

First, market dynamics and historical precedent show that every successful technology eventually adopts privacy as it matures. Blockchain will be no exception.

Second, we're witnessing the emergence of private store-of-value (SoV) narratives through projects led by Zcash, proving grassroots market movements are ready to embrace and invest in privacy-first solutions.

Third, the explosive growth of AI surveillance capabilities is creating an urgent deadline. Privacy must be built now, before comprehensive surveillance infrastructure becomes irreversible.

Fourth, a rare political window has opened in the United States, as regulatory hostility fades while Europe doubles down on surveillance-driven policies. The US isn’t a safe haven, but it has become a more permissive ground where privacy builders can operate and push innovation forward while the opposite trend unfolds across the Atlantic.

Fifth, history shows that technologies that let information flow faster and more freely always find a way to thrive. Privacy isn’t just a moral stance but a survival mechanism for complex systems like the markets and societies that depend on both sharing and protecting information. When everything is visible, competition disappears and innovation slows down, because no one has an advantage or reason to evolve. Privacy restores that healthy tension, keeping systems creative and resilient.

Each of these forces alone would be significant. Together, they create an unstoppable momentum. Let's examine each in detail.

Mass Adoption Requires Web2-Level Privacy (At Minimum)

For blockchain to attract serious institutional capital and mainstream users, it must offer at least the same privacy guarantees people take for granted in Web2. This isn't a novel observation, it's a pattern that has repeated throughout technological history.

Consider email, HTTP standards, and numerous other protocols that started open and evolved toward privacy. The reasons are consistent:

Security: As technologies mature, attack surfaces expand, making privacy a defensive necessity.

Usability: User-friendly interfaces require infrastructure layers that are typically private by design.

Regulation: Privacy and access controls help organizations comply with evolving legal frameworks.

Scalability: Fully open systems often hit scaling bottlenecks that privacy layers can help resolve.

The market is already responding. Layer 2 solutions and crypto products are rushing to offer privacy features, though many remain half-baked implementations. This scramble itself signals that privacy has crossed from "nice to have" to "competitive necessity."

Zcash: Privacy's Trojan Horse

Private store-of-value (SoV) represents the first major privacy narrative gaining real traction. Zcash has become a flashpoint, creating divisions even among Bitcoin OGs. Some feel threatened by the SoV competition, while others are embracing it, reconnecting with the cypherpunk ethos that attracted them to cryptocurrency in the first place.

This dynamic is creating a "Trojan horse" effect for broader privacy adoption:

• Major exchanges are seeing the volume traded and feel the need to list privacy coins

• Companies resembling "Zcash MicroStrategies" are emerging, firms dedicated to accumulating and promoting private assets. A bottom-up led institutional adoption

• Developers want to build on privacy protocols because they see growing market interest and an open, unexplored landscape. A true blue ocean of opportunity.

Private money is the most digestible form of onchain privacy for mainstream audiences. Its growing acceptance is an early indicator that the market is ready for privacy solutions, and the timing is aligning perfectly with broader technological and political shifts.

The AI Surveillance Deadline

Privacy in blockchain has always operated under the "deadline effect." From day one, we've known that fully transparent blockchains aren't ideal. Verification matters for human coordination, but modern technology, specifically zk proofs, allows us to verify and create consensus without exposing everything to the world.

Every day that passes, we leave more data trails. Every day, artificial intelligence becomes more powerful at analyzing those trails. Every day, surveillance capabilities both corporate and governmental, expand.

This creates accelerating pressure. Onchain privacy isn't a UX feature request, it's becoming an existential requirement. The question isn't whether blockchain will adopt privacy, but whether it will do so before surveillance infrastructure becomes too entrenched to dismantle.

The Political Window: US vs. EU

The Tornado Cash prosecution created a chilling effect that significantly slowed privacy innovation in crypto. During the Biden administration, the government took aggressive action against crypto projects generally, with privacy protocols facing the most intense scrutiny.

Then came a dramatic shift. Trump's return to office and his immediate pardon of Ross Ulbricht sent a clear signal about his administration's stance. The SEC dropped numerous crypto cases. The OFAC lifted sanctions on Tornado Cash addresses. We're now awaiting a potential pardon for Roman Storm, which would complete privacy's regulatory rehabilitation in the US.

The key insight is that the privacy ecosystem only needs one major political bloc to allow innovation long enough to reach escape velocity, the point at which no future authoritarian government can ever shut it down again.

The world is entering a bifurcation point. The United States is pushing forward on crypto and privacy, going all-in on the technology. Meanwhile, Europe is moving in the opposite direction, full regulation, anti-privacy legal measures (MiCA vs. the GENIUS Act provides a stark contrast).

Europe may serve as a live warning to the world, a real-time demonstration of Orwellian dystopia. At the same time, the US is building the tools and protocols to prevent reaching that point. This divergence creates both a natural experiment and a geopolitical incentive for privacy innovation.

The Pure Accelerationist Case

Technologies that increase human freedom, making things faster, cheaper, and more globally accessible, tend toward adoption eventually. It's not a question of if, but when.

Accelerationists argue that information wants to be free, and history largely supports this claim. But privacy isn't about secrecy, it's about information asymmetry.

Consider where we're heading in the physical world. Privacy may soon become impossible, imagine microscopic drone cameras with AI surveillance tracking us everywhere. In this future, the physical realm offers no privacy sanctuary.

But cryptographic tools represent our final defense. Cyberspace may be the last corner where humans can maintain real privacy, enforced not by laws or social norms, but by the unbreakable principles of mathematics.

Private blockchains offer something profound. A system with both private and transparent states provides granularity in information control. This allows markets to reach places they couldn't previously access.

Information asymmetry as a primitive for building products will ultimately grow markets and move us toward a hyperfinancialized world where information moves more freely, not less.

It sounds counterintuitive, but onchain information asymmetry actually contributes to the free information thesis. By giving users and organizations control over what they reveal and when, privacy enables participation from entities that would otherwise remain outside the crypto ecosystem entirely. Sidelined capital will grow the whole crypto pie.

Conclusion: The Convergence

Market demand, technological readiness, AI-driven urgency, political opportunity, and fundamental accelerationist dynamics are converging. Privacy in blockchain it's arriving from multiple directions simultaneously.

The transparency-first era of blockchain served its purpose, bootstrapping trust in a trustless system. But the next era requires sophisticated privacy that preserves verifiability while protecting participants.

The tools exist. The market is demanding them. The political window is open. The only question remaining is how quickly builders will seize this moment to make private, scalable, usable blockchain technology the standard for their products.

The privacy era of crypto is beginning. Those who recognize this shift early will define the next decade of the industry.

The Market as an Autonomous Entity

My view of the market is influenced by Nick Land’s perspective: the market as an autonomous entity, without a clearly defined goal, yet with the undeniable drive to expand itself. This expansion happens by making the exchange of information increasingly efficient, and by constantly refining coordination among participants.

When people speak about hyperfinancialization, it should not be seen as an artificial trend but rather as a natural consequence of the growth of this external entity. I don’t want to make this too abstract, because my belief is simple: markets are an emergent property of human society. From the moment early humans started trading goods instead of covering all their needs alone, a new dynamic was born. The market was not “invented,” it emerged as a superior way of living together.

Prediction Markets as the Sensors of Reality

Prediction markets are literally the act of putting a price on real-world information. If we continue with the idea of the market as an autonomous entity, then prediction markets become its sensory system. They are the receptors that connect this entity to the real world more directly than almost any other mechanism.

For example, if I see that Coca-Cola’s stock dropped 50% in a single day, the reasons could be countless: the U.S. market as a whole collapsed, the CEO was replaced by someone unpopular, a major lawsuit was lost, or maybe the company was banned from a large region. The point is that the price alone aggregates general perception of humanity about the idea or assets that the stock represents, not granular truth.

But if there were a prediction market on “Will Coca-Cola be banned in the United States by the end of this year?” trading at 99% yes, I now have information that is far more specific, actionable, and accurate. This is the difference: while stock prices reflect diffuse perception, prediction markets slice reality into sharp, testable questions.

The Death of the Insider

Why would anyone participate in a prediction market? One simple answer is that insiders can profit from it. For centuries, “insider” was a powerful term: those with privileged access to information could frontrun the rest of the world. Markets, in their primitive state, had blind spots, and insiders exploited them for immense profit at the expense of retail.

Memecoins today are an experimental ground where this dynamic is visible in its purest form. Information asymmetry creates inefficiencies, which allow some to become wildly rich while others are left rekt. This is not a bug of markets, it is a sign of their immaturity. But as markets mature, as information moves faster and becomes more efficiently priced in, the concept of “insider” fades away.

In the world we are heading into, “insider” will become an obsolete term. Perhaps we will call them arbitrageurs or something similar, but the classic notion of someone sitting on privileged information while the market sleeps is disappearing.

Polymarket and the Current Frontier

Right now, Polymarket is the leader in this space. They’ve not only built a strong product but also managed to capture attention beyond the crypto bubble. Their viral prediction events and clever marketing stunts, like the partnership with Retardio and even firing an intern publicly, prove they understand both attention and crypto culture. Still, much remains to be improved.

The biggest missing feature is permissionless event creation. Anyone should be able to create a market, not just propose it. This sounds simple but opens a complex set of implementation challenges. The central issue, as always, is liquidity. To long something, you need someone willing to short it. Creating a permissionless system where liquidity naturally balances is an unsolved puzzle.

PumpFun solved a similar problem for low-cap tokens by introducing virtual liquidity pools through bonding curves. Whoever figures out a similar mechanism for prediction markets, will unlock a massive breakthrough.

And this is not only about solving liquidity. Such a mechanism creates a growth loop. Every time someone creates a new event, they promote it, just as PumpFun creators promote their tokens. Incentives align perfectly when creators also receive fees. Suddenly, markets scale not only in depth but also in breadth, with countless new questions priced in parallel.

The Problem of Resolution

Even with liquidity solved, another massive problem remains: resolution. Who decides the outcome of an event? This is one of Polymarket’s biggest weaknesses and the main reason why many potential participants hesitate to commit serious capital. If resolution is not 100% reliable, the market loses its credibility.

The logic is clear: the resolver must be impartial, with aligned incentives to reveal the truth. But how? There are several possibilities:

• A trusted individual with recognized expertise or integrity.

• A panel of experts coordinated by game-theoretic incentives, similar to how Kleros operates.

• An official trusted institution dedicated to a niche, like the NBA publishing results of its games.

In the same way that multiple memecoins launch around every cultural event but only one eventually captures liquidity, we can imagine a future where multiple prediction markets exist around the same event. The one with the most trusted resolver, or simply the first to launch, might dominate and absorb all liquidity.

The Question of Leverage

Another frontier is leverage. This is notoriously difficult in illiquid assets, and past attempts in areas like memes have failed. But leverage is fundamental for deepening hyperfinancialization. I don’t know exactly how it will be implemented in prediction markets, since resolution itself implies liquidations other complex dynamics, but it seems inevitable that someone will figure it out.

Final Thoughts

Let me be clear: I don’t necessarily want to build this myself. I’m not sure I feel comfortable creating something that accelerates hyperfinancialization directly. But whether we like it or not, this path is inevitable. My role here is not moral judgment but observation, analysis, and perhaps a bit of speculation.

As someone who enjoys onchain products, it is an exciting exercise to imagine what a fully developed prediction market ecosystem could look like. The answers to liquidity, resolution, and leverage are not just technical upgrades, they are the keys to turning markets into full sensory systems for reality itself. And once that happens, prediction markets won’t just reflect the world, they will become the battleground where truth itself gets priced.