BlockLayer Podcast

917 posts

BlockLayer Podcast banner
BlockLayer Podcast

BlockLayer Podcast

@BlockLayerPod

Accelerating Web3, documenting the builders. Podcast with top guests on conviction, craft, and scaling. 📧 [email protected]

New York, NY Katılım Nisan 2020
39 Takip Edilen115K Takipçiler
Sabitlenmiş Tweet
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
How to Stop Crypto From Hitting $10 Trillion Charlie Munger liked to say: "Invert, always invert." Instead of asking how to succeed, ask how to fail. So here are a few reliable ways to make sure crypto never becomes a $10 trillion market. Today, we're inverting the question to find the path forward.👇 ~~ Article by @kenzixbt ~~ Assume the World Cares About Our Chains Since the inception of crypto, the industry has operated around chains. And for a long time, that was the correct thing to do. Chains are the foundation on which everything else runs. So it's very important that we get that part right. And that's exactly what we did. Over the first fifteen years of crypto, blockchains became the most heavily funded category in the industry. The smartest minds, from Satoshi to Vitalik to Anatoly, have spent the prime of their lives building blockchains the way they believed they should be built. And this practice of building around chains has had lollapalooza effects on how everything else happens in the industry. Value accrual has long been understood to accrue at the chain layer, popularized by the fat protocol thesis. Chain tokens have been the best performing assets in the history of crypto. From ETH to SOL to BNB, these have provided some of the best returns to investors over the last decade. Wallets became the most widely used interfaces in the industry, tools designed primarily to help users interact with what's happening onchain. Builders and users began organizing themselves around chains, gravitating toward the ecosystem that resonated with them. This framing has worked really well for us. The industry needed an anchor in crypto's early years. Chains became that anchor. They became flagbearers for different versions of the crypto ethos, each optimizing for a different set of trade-offs. Crypto is now a $4 trillion market. All of this made sense. But this moment should also mark the beginning of the end of the idea that crypto should revolve around chains. Because today, this same framing is starting to work against us. And the simple reason is fragmentation. Fragmentation of liquidity. Fragmentation of capital. Fragmentation of users. Fragmentation of talent. Fragmentation of attention. Under chain-first thinking, we're fragmented at the core and operate in isolation. We behave as if things happen in isolation in this industry. While in reality, crypto is a tightly coupled collection of small markets, which together operate as a single universal market. Think about this question posed by a16z crypto's X account: Which chains are you building on? It shows exactly what's wrong with this thinking around chains. Why does it matter if someone is building on Ethereum or Solana or xyz chain? What matters is that they're building in crypto. It's one market. Yet because we frame crypto as a collection of separate chains, we allocate resources accordingly. Liquidity, capital, users, and builders are spread thin across different environments, each optimizing its own walled garden. That local optimization comes at the expense of global outcomes. This is the inversion we need to make as an industry. We need to stop building for our chains and start building for crypto. Otherwise, we risk optimizing individual pieces while stifling the growth of the market as a whole. The analogy we can learn from is countries. Countries are divided into states to improve local execution, but they compete and operate as a single economy on the global stage. The states work together as a united front. No serious country optimizes its states at the expense of its national market. Crypto needs a similar unification moment. Chains are the states. Crypto is the country. We're all divided into states like chains, but we're all part of one big country called crypto—and we have to come together as a united front to make crypto a bigger market. Markets, not chains. That should be the rallying call for the future of crypto. To the outside world, this is already the truth. When institutions, fintechs, governments, or consumer platforms evaluate crypto, they don't see chains, they see a large, growing market. If we want the next leg of adoption, we have to align with that reality and be willing to set aside internal incentives, tribal loyalties, and bag bias. That means convincing the world why crypto as a market is a massive opportunity: to rebuild financial rails onchain. Rails that are globally accessible, rooted in transparent public ledgers, and that move value faster and cheaper for everyone. Build Things and Wait for People to Come One of the lazier criticisms of crypto is that it hasn't built anything people actually want. I don't buy it. That narrative is consensus because it's easy to take a shot on crypto. In reality, it starts from the wrong expectations and applies the wrong mental model. It assumes crypto should have produced consumer social apps, when in reality crypto has been rebuilding the financial layer of the world from scratch—so it's inevitable that we have applications that look financial and speculative by nature. And I think that's the actual innovation of crypto. Crypto embeds the ability to move value directly into the internet layer. This was missing from the world and we're changing that. Any crypto application will, in some form, express that property. Crypto has built a lot of cool things. But the negative outlook comes from the fact that all of them are financial primitives or linked to speculation somehow. But on that point, I'd like to point that the whole world operates on speculation, and crypto is rebuilding the legacy financial system from scratch with new principles. So it's no surprise that the most widely used crypto applications today include trading terminals, exchange frontends, leverage platforms, and memecoin markets. From the outside, this looks like financial nihilism. But in reality, it's just crypto serving the needs of the world. In doing so, we've created entirely new markets. Memecoins turn attention and internet culture into tradeable assets. Prediction markets present a way to speculate on the events of the world. NFTs created a native digital form for art and ownership rights. DeFi rebuilt lending and borrowing without credit scores, replacing reputation with collateral and math. But where the industry does face a real challenge now is not application building, but distribution. Up to this point, crypto could grow by building better technology and assuming users would eventually show up. That phase is over. From here on, growth depends on whether we can reach people who don't already care about crypto. Hence, crypto has a distribution challenge. Our problem is simple but hard to solve: how do we market to the world that doesn't live on crypto twitter? Right now, crypto marketing is overwhelmingly inward-facing. We talk to builders, traders, and power users on Crypto Twitter and convince ourselves we're "educating the market." In reality, we're preaching to the same audience over and over again. I think we need distribution channels that already reach the mainstream. And a lot of you will hate me for saying this but, centralized exchanges have the reach, trust and familiarity to take crypto mainstream: They have the household name brand recognition already. They have revenues and marketing budgets that allow them to market to the mainstream. They have products that the average investor wants. Think about it: How many people outside of crypto know about Uniswap? Very few. How many people outside of crypto know about Binance / Coinbase? A lot. So maybe CEXs become the gateway for onboarding the next wave of users. But the lesson to take from CEXs for crypto's growth is that we need to prioritize distribution and market crypto to the world in simple terms. Build trusted brands and market to the average investor and not just the average crypto bro. From here on, crypto's success depends less on better protocols and more on better communication. We need to think like marketers, not just builders. If we want adoption, we have to make crypto legible, desirable, and accessible to the rest of the world, and actively bring users in instead of waiting for them to show up. Sell Our Soul to the Suits One quick way to make sure crypto fails is to sell out to the suits at the finish line. After spending fifteen years proving that crypto deserves to be taken seriously, there will be a temptation to make compromises to "close the deal" with institutions. To soften positions in the name of pragmatism. To meet the market where it is. That would be the biggest mistake we could make. As institutions come onchain, it becomes even more important for crypto to hold the line on the things that actually make it valuable: self-custody, censorship resistance, permissionless access, and open participation. Now that crypto has a seat at the table, the worst thing we could do is pretend those principles are negotiable. If we do this, we will lose. Because if we remove what makes crypto fundamentally better, we'll be left competing with incumbents on their terms. There are a few obvious ways this can go wrong. Take stablecoins. They are simply a better way to move value over the internet: faster settlement, lower costs, global reach. Treating CBDCs as acceptable substitutes would undermine the entire point. Or take private chains. People often push them as a reasonable middle ground to onboard institutions to crypto, but in reality, they're just mid-curving. Private chains sacrifice transparency and composability—and these are not acceptable trade-offs we should be willing to take. If institutions want to build in crypto, they should build things that align with the crypto ethos. Crypto doesn't need to prove it belongs anymore. That argument is over. Now we need to preserve the properties that made it worth adopting in the first place. No trade-offs at the home stretch. Conclusion If crypto wants to fail to become a $10 trillion market, the playbook is clear: Obsess over chains instead of markets. Fragment into walled gardens. Build applications without figuring out distribution. Abandon our ethos. Instead of going down this forbidden path, we need to prioritize around the right things: Markets matter more than chains. Applications matter more than infrastructure. Access to crypto as a market matters most. Doubling down on properties that make crypto, crypto. Crypto doesn't need a miracle to get to $10 trillion. It just needs to stop doing the things that prevent it from getting there. Invert those habits, and the rest takes care of itself. Markets usually do.
BlockLayer Podcast tweet media
English
151
86
996
1.8M
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
AI doesn’t need another isolated model. It needs a network where intelligence can compound. @kenzixbt in conversation with @nickemmons, Co-Founder of @AlloraNetwork, on breaking AI out of silos, turning fragmented models into collective intelligence, and building the coordination layer that could move AI beyond the control of a few monoliths.
English
54
16
134
37.1K
BlockLayer Podcast retweetledi
Sachi Takahara / 0699.eth
Sachi Takahara / 0699.eth@SachiTakahara·
Really enjoyed this part with @nickemmons. We talked about why @AlloraNetwork’s latest round was less about capital and more about strategic alignment - bringing in AI-forward partners who understand where decentralized collective intelligence is heading.
BlockLayer Podcast@BlockLayerPod

@AlloraNetwork has now raised $35M in total — but the latest $3M round wasn’t just about capital. @sachitakahara speaks with @nickemmons about why this round was built around strategic alignment: bringing in AI-forward partners, funds, and individuals who understand where decentralized collective intelligence is heading. The goal isn’t only to grow the team or move faster. It’s to surround @AlloraLabs with people who can help shape the next phase of AI coordination.

English
77
17
132
94.8K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
@AlloraNetwork has now raised $35M in total — but the latest $3M round wasn’t just about capital. @sachitakahara speaks with @nickemmons about why this round was built around strategic alignment: bringing in AI-forward partners, funds, and individuals who understand where decentralized collective intelligence is heading. The goal isn’t only to grow the team or move faster. It’s to surround @AlloraLabs with people who can help shape the next phase of AI coordination.
English
38
12
123
45.1K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
Web3 and AI are both hitting an inflection point at the same time. AI is redefining intelligence, automation, and how people interact with technology. Crypto is building the economic rails for that intelligence to coordinate, transact, and operate in open networks. @dikshaarden in conversation with @nickemmons (Co-Founder, @AlloraNetwork) on why the overlap between AI and crypto may become one of the biggest design spaces of the next decade — and why we’ve barely scratched the surface.
English
36
18
132
28.7K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
Today’s episode features Nick Emmons (@nickemmons), Co-Founder & CEO of @AlloraNetwork. We talk about what crypto actually adds to AI — beyond the hype — and why decentralized networks may become the coordination layer for models, incentives, data, and markets. Nick breaks down Allora’s vision for collective intelligence: a network where AI systems can work together, compete, predict, and improve on-chain applications in real time. We dig into AI-powered DeFi, predictive models, new financial primitives, and what it means to make on-chain systems smarter and more adaptive. We also cover the open vs. closed AI debate, where blockchain developers can find real opportunities in AI, and Nick’s founder journey building at the frontier of Web3 × AI. At the center of it all is one big idea: markets aren’t just for price discovery — they may be one of the best tools we have for coordinating intelligence itself.
BlockLayer Podcast tweet media
English
27
19
114
14.4K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
@sachitakahara sits down with @david_enim, core contributor to OLAS, to break down what it really means to co-own AI. Instead of just using AI, OLAS lets users participate — through tokens, running agents, or even operating them as businesses. From DeFi to prediction markets, agents generate yield, and operators share in the upside. It’s a shift from passive users to active participants in an AI economy. But ownership is only half the story — alignment matters. Through staking contracts, OLAS defines clear KPIs for agents, similar to roles in a workplace. Agents act autonomously, but incentives keep them aligned with the system’s goals. And at the infrastructure level, reliability is handled through decentralized agent architecture — combining multiple models and consensus mechanisms to reduce errors and improve decision-making. The result: AI that isn’t just decentralized — but coordinated, incentivized, and owned by the community.
English
57
39
282
37.5K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
@kenzixbt connects with @david_enim, co-founder of Valory, on building autonomous agents across crypto. After years at Fetch.ai, the realization was clear — chains create focus, but also friction. Instead of scaling agents, you end up selling blockspace and ecosystems. Valory was born from that shift: agents as chain-agnostic power users — operating across networks, complementing humans, and unlocking new ways to interact with blockchains. The early bet on DAOs didn’t land — slow decisions, unclear ownership, and broken feedback loops made them tough customers. But the core idea stuck: agents + crypto is the right primitive — and timing might finally be catching up.
English
20
9
157
30.3K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Someone once gave me a paper wallet with Bitcoin on it — and I threw it away.” @kenzixbt catches up with @david_enim about his early path into crypto x AI: from studying Bitcoin’s economics and computer science during his PhD, to watching the 2017 crypto builder wave, to finding the overlap between game theory, machine learning, and agents — years before “crypto AI” became a category.
English
32
27
154
25.4K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Honestly, I think we’re just a few months away.” @dikshaarden catches up with @david_enim on how close AI agents really are to mass adoption — even for beginners and DeFi users. From being deep in technical papers on agent systems to building in the space full-time, he breaks down why the timeline is compressing fast — and why the real challenge isn’t the tech, but aligning people around it.
English
26
17
176
21.2K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
This week’s episode features David Minarsch (@david_enim), Co-Founder & CEO of Valory. We talk about his path through crypto and AI, from early work with Fetch.ai to building Valory and OLAS — and what “autonomy” actually means when agents move beyond demos and start operating in real markets. We dig into the rise of autonomous agents: what they can already do today, where they’re useful, and what breaks when you deploy them inside permissionless, adversarial environments like Web3. We cover the hard Web3 x AI problems too: coordination, incentives, security, reliability, and why open-source infrastructure matters if agents are going to become first-class participants in the future of the internet.
BlockLayer Podcast tweet media
English
15
21
148
15.5K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“What happens when someone inside one of the most iconic retail platforms of the last cycle sees its limits up close?” @kenzixbt speaks with @jayendra_jog, Co-Founder of @SeiNetwork, to trace the path that took him from the early days of Robinhood in Palo Alto — through hypergrowth, the IPO era, and the shock of the GameStop moment — to building in crypto. They discuss how witnessing the mechanics and constraints of traditional financial infrastructure firsthand reshaped his thinking, why the suspension of buys during one of retail’s most defining episodes left such a lasting impression, and how that experience ultimately pushed him toward systems designed to be more open, more resilient, and less dependent on centralized control.
English
41
17
221
60.1K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“High-performance infrastructure only matters if it expands what users can actually do onchain — and makes that experience accessible at scale.” @sachitakahara sits down with @jayendra_jog, Co-Founder of @SeiNetwork, to examine why parallelized execution is becoming increasingly important for the next generation of onchain applications. From trading and DeFi to high-frequency user activity that simply breaks in low-throughput environments, they discuss how lower fees and greater execution capacity can fundamentally reshape the user experience — especially for smaller participants who are otherwise priced out. They also explore how this plays out in practice through projects like Bancor’s Carbon DeFi, where Sei has emerged as the ecosystem driving the strongest activity and volume, underscoring how performance advantages translate into real adoption.
BlockLayer Podcast tweet media
English
38
22
192
44.1K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Virtual machines are like cities — once they reach critical mass, they become magnets that are incredibly hard to displace.” @dikshaarden catches up with @jayendra_jog, Co-Founder of @SeiNetwork, to unpack this idea at a deeper level — why systems with flaws can still dominate simply because that’s where the activity, liquidity, and people already are. From New York and San Francisco to onchain environments like the EVM, they explore how network effects compound over time, why newer ecosystems struggle to pull users away even with better tech, and what it actually takes to break that inertia.
English
19
12
122
30.2K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
3 Takeaways From a Big Week in Crypto x AI Ethereum is becoming the consensus center for crypto and AI convergence. After three technical deep-dives with Dragonfly, Paradigm, and Nat Eliason, the agent thesis is clarifying: execution, not origination. Here's what you need to know 👇 ~~ Analysis by @TheaKaage ~~ Last week, we released three episodes covering crypto and AI from every angle. If you don't have six hours to spare, here are the key takeaways about what agents can do, and what they can't. Agents as Amplifiers @hosseeb discussed agents excel as executors, not originators. They cannot generate nuanced business ideas because they gravitate toward the center of their training data. Agents need humans to supply "earned secrets"—unique insights that create edge. @nateliason's @FelixCraftAI demonstrates this duality. The agent runs Clawmart , a marketplace selling packaged human experience (markdown files agents cannot generate). Felix also acts as CEO, trained on Nat's years of productivity and knowledge management expertise. Apply this to trading: agents amplify execution of proven edges but won't generate the underlying alpha. Novel ideas require human insight. Several skill sets launched this week to support specialized agent work: > Eth Skills. @austingriffith's toolkit for building Ethereum dApps. > @OpenZeppelin Skills. Integration for their smart contract library. > @clanker_world Skills. Deployment tools for tokens. Crime and Optics Haseeb notes agents excel in one domain: crime. As he puts it, "You can't throw an AI agent in jail." They operate 24/7, execute code rapidly, and adapt persistently. Crypto sits on the front lines of this autonomous economy. As agents interact with unknown counterparties, malicious actors will inject themselves into workflows, impersonate tools, and hunt exploits. ERC-8004 provides agent identity and reputation scoring, enabling verification of trustworthy counterparties. Like verifying protocol Twitter accounts before clicking links, users might interact only with agents above specific reputation thresholds. Onchain identity verification becomes critical as agent populations explode. Superhuman Auditors and AI's Natural Environment @0xalpo co-authored the EVMBench paper with OpenAI, reinforcing Anthropic's earlier findings: agents excel at detecting, patching, and exploiting smart contract vulnerabilities. Six months ago, models identified 12-13% of fund-draining bugs. With Codex 5.3, detection jumped to over 70%. Alpen predicts models will outperform top human auditors within six to eight months. Haseeb posits that crypto's "bad UX" — composed solely of text and code — serves as optimal training material for agents. Alpen notes this increases the industry's "carrying capacity" by raising security standards. The current ceiling on crypto adoption isn't technology or demand — it's trust. Better auditing unlocks capital and development. @pashov (auditors of Aave, Pump, Ethena, and Uniswap) released an open-source Solidity auditing agent last week. Overall, if defenders deploy these tools faster than attackers, AI becomes infrastructure-critical for security. -- If any of what I've covered here resonates, consider the full conversations or at very least summarizing the transcripts - we have AI for a reason!
BlockLayer Podcast tweet media
English
12
8
84
19.8K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“We focused on four core areas: finance, gaming, social, and entertainment — but DeFi on @Aptos has seen the strongest traction.” @sachitakahara sits down with @averyching to unpack Aptos’ real-world use cases and why DeFi has emerged as the breakout category: the safety of Move, the composability that allows products to plug into larger protocols, and an ecosystem that is now beginning to hit meaningful momentum.
English
42
25
222
89.4K
BlockLayer Podcast retweetledi
Kenzi / 2569.eth
Kenzi / 2569.eth@kenzixbt·
Had a great conversation today with @averyching from @Aptos. We talked about his path from high-performance computing and supercomputers to large-scale infrastructure work at Meta, and how discovering Bitcoin changed the way he thought about distributed systems, incentives, and what crypto could become. A very thoughtful conversation with strong technical depth and a lot of perspective on how Aptos came together. Big thanks to Avery for joining and sharing the story. And thank you to the @BlockLayerPod team, @SachiTakahara, and @DikshaArden for helping make it happen.
BlockLayer Podcast@BlockLayerPod

“Bitcoin was the first distributed systems paper I read with an economic layer built into it — and that changed everything.” @kenzixbt catches up with @averyching, Co-Founder & CTO of @Aptos, to trace his journey from high-performance computing and supercomputers, to scaling data infrastructure at Meta, to discovering Bitcoin and realizing that crypto was distributed systems with incentives natively embedded — the insight that ultimately led him to co-found Aptos Labs.

English
25
21
114
45.1K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“Bitcoin was the first distributed systems paper I read with an economic layer built into it — and that changed everything.” @kenzixbt catches up with @averyching, Co-Founder & CTO of @Aptos, to trace his journey from high-performance computing and supercomputers, to scaling data infrastructure at Meta, to discovering Bitcoin and realizing that crypto was distributed systems with incentives natively embedded — the insight that ultimately led him to co-found Aptos Labs.
English
28
13
138
44.8K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
“What inspires you to get up and build every day? For me, it’s pushing Web3 forward — making blockchain a true public utility for everyone.” @dikshaarden sits down with @averyching (Co-Founder & CTO of @Aptos) to talk about what drives him: building the next era of the internet where blockchain brings ownership back to users and enables permissionless, trustless transactions that connect people globally.
English
18
12
113
31K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
New episode out today featuring @AveryChing - Co-Founder & CTO of @Aptos. We explore the intersection of crypto and Al, Aptos' fundraising journey, how the network compares to other Layer 1s such as Solana and Ethereum, and what lies ahead for the Move programming language. Avery also shares his perspective on decentralized use cases, Aptos' long-term ambitions, and how more than a decade spent scaling distributed systems at Meta — including his work on the Diem blockchain — continues to shape his vision for the future of Web3 infrastructure.
BlockLayer Podcast tweet media
English
19
16
132
30K
BlockLayer Podcast
BlockLayer Podcast@BlockLayerPod·
The privacy trade has been a rare bright spot amid crypto market stagnation. ZEC's September run reached a nine-year high in November, 28x above its 1y low, before tanking when the Zcash core dev team announced they were leaving over a governance dispute. XMR has since taken command of the privacy trade. ~~ Analysis by @SachiTakahara ~~ Today, we're breaking down how Zcash and Monero actually differ ahead of our episode with Zooko next week.👇 Origin Stories The fundamental difference between these two projects lies in how they got started: @monero was born on forums, while @Zcash was born in universities. Monero launched in 2014 as "Bitmonero" by an anonymous user named thankful_for_today, based on the CryptoNote protocol. The community famously "took over" the project early on. There's no CEO, no office, and development is funded entirely through voluntary donations via the Community Crowdfunding System (CCS). A small Core Team acts as stewards — managing repositories and holding funds — but they don't dictate the technical roadmap. Zcash traces its roots to 2013 academic research at Johns Hopkins University, where cryptographers developed the Zerocoin protocol. The design evolved into Zcash, launched in 2016 by cypherpunk @zooko Wilcox and the Electric Coin Company. Unlike Monero, Zcash has worked alongside regulators rather than against them. These different origins shaped fundamentally different reputations. Monero's mandatory privacy made it a preferred choice for darknet markets. According to @trmlabs, nearly half of new darknet marketplaces in 2024 used XMR exclusively. Zcash, by contrast, is rarely cited in ransomware or darknet reports. XMR's reputation has led to exchange delistings. Binance dropped XMR in February 2024, OKX in January 2024, and Kraken removed it for European users in October 2024. Zcash avoided major delistings: Binance removed its "Monitoring Tag" in July 2025, and OKX relisted it in November 2025. Core Privacy Mechanisms Think of any transaction as a message. With Monero, your message gets mixed into a crowd — you speak at the same time as 15 other people, so an observer can't prove it was you. With Zcash's shielded transactions, your message goes into a locked box that only the recipient can open. Monero uses a three-pronged approach: ➢ Ring Signatures hide the sender by mixing your transaction with around 16 decoys already on the blockchain. ➢ RingCT hides the amount by encrypting transaction values while proving no new coins were created. ➢ Stealth Addresses hide the receiver by creating a one-time address for every transaction. Zcash uses zk-SNARKs to provide privacy, allowing transactions to be proven valid without revealing sender, receiver, or amount. When you send a shielded transaction, Zcash generates a cryptographic proof confirming you have the right to spend the coins without inspecting the transaction details. Mandatory vs. Optional Privacy With Monero, privacy is mandatory. You cannot send a transparent transaction. This creates "herd immunity" — all transactions look identical. The argument: optional privacy isn't real privacy. If only "suspicious" people use the private option, they become targets. Zcash offers privacy by choice. ZEC can be used transparently or moved to a shielded address. While privacy isn't required, the shielded pool continues to grow — around 30% of ZEC supply now sits in shielded pools, up from 8.7% a year ago. Consensus and Supply Monero uses the RandomX proof-of-work algorithm, designed to be ASIC-resistant and optimized for CPUs friendly to at-home miners. Monero has a tail emission — an infinite supply with around 0.6 XMR per block perpetually added. This ensures miners always have incentive to secure the network. Zcash currently uses Equihash — an ASIC-optimized proof-of-work mechanism. It's transitioning to Crosslink, a hybrid PoW/PoS system that brings deterministic transaction finality. Crosslink layers a PoS "finality gadget" on top of PoW: miners produce blocks, but stakers provide confirmation that makes transactions permanent. Like Bitcoin, Zcash has a fixed supply cap of 21 million ZEC with a halving schedule roughly every four years. What's Next Both protocols have major upgrades in development. Monero is working on FCMP++ (Full-Chain Membership Proofs), which would replace ring signatures. Instead of mixing with around 16 decoys, transactions would mix with the entire blockchain history — expanding the anonymity set from "crowd of 16" to "crowd of everyone." Zcash has Tachyon in development, a major scaling initiative that will dramatically increase network speed, plus Crosslink for the hybrid PoS transition and improved user experience through new wallets and functionality like Near Intents integration. One technical note: Zcash's privacy layer is quantum-resistant, while Monero's ring signatures are not. Monero developers plan to address this via FCMP++ and future upgrades. Different Tools, Different Bets A project's success ultimately rests on adoption — and adoption depends on organizational strength and reputation. On organization, Zcash's corporate structure enabled rapid R&D and cutting-edge cryptography, but the ECC departure exposed its concentration risk. Monero's decentralized contributor model is slower to coordinate, but no single departure creates crisis. On reputation, the tradeoffs are stark. Zcash's optional privacy and compliance-friendly features have kept it listed on major exchanges, but at the cost of weaker network-level privacy guarantees. Monero's mandatory privacy made it dominant for darknet markets — driving systematic exchange delistings and regulatory hostility. The "one true privacy coin" debate ultimately comes down to what users are optimizing for. Monero offers stronger privacy today but faces steeper adoption headwinds. Zcash offers a path to broader adoption but requires users to actively choose privacy — and most don't. Both have returned to relevance after dormant years, but each must now demonstrate they can keep the spotlight and that their architectures can outcompete and outlast the other.
BlockLayer Podcast tweet media
English
13
8
80
15.1K