Polygon's integration of Solana into its OMS could streamline crypto-fiat transactions, enhancing efficiency and accessibility for global businesses.
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The competition could boost Keeper's user engagement and market presence, highlighting the growing intersection of politics and cryptocurrency.
The post Multichain wallet Keeper launches TRUMP token competition offering invitations to Trump gala dinner appeared first on Crypto Briefing.
Efficient local currency conversion is crucial for stablecoins to realize their potential in global treasury operations and cross-border payments.
The post Stablecoin speed means little without efficient local payouts, SCRYPT CEO says appeared first on Crypto Briefing.
The most delegated contract in my EIP-7702 sample ends in these 12 bytes: a164736f6c6343000822000a. Most Solidity contracts built with default settings end in 53. The longer tail is a small CBOR map the compiler appends to the bytecode: an IPFS hash of the contract’s metadata file, the compiler version, and two bytes giving the map’s length. This one has the version and no hash.
On 8 September I pulled every EIP-7702 authorization from a 200-block window on Ethereum mainnet, 1,178 of them, and read the bytecode of the 59 contracts they delegated to. Nine of those authorizations pointed at the zero address, which is how an account undelegates, so 1,169 went to real code. When I went back over the 59 on 11 October, ten had the short tail. I left a note beside them: no metadata hash, so maybe nobody meant the source to be found.
Read as CBOR, a1 opens a map with one entry, 64 says a four-byte string follows (solc), and 43 says a three-byte value follows: 00 08 22, which is version 0.8.34. The last two bytes, 00 0a, give the length of everything before them, ten. So the compiler version survives. What’s gone is the hash that would let anyone fetch the exact metadata file, the one that lists every source file’s own hash and the compiler settings. In solc that’s a single setting, metadata.bytecodeHash set to none, and Foundry exposes it as bytecode_hash.
Today I asked Blockscout’s API whether each of the 59 has verified source, and asked Sourcify the same. Nine of the ten stripped contracts are verified on Blockscout. Of the 46 that kept the full hash, 21 are. The other three have no CBOR tail at all, and one of those is verified.
Counting authorizations instead of contracts widens the gap. In that September window, 369 of the 371 authorizations to stripped delegates went to a contract with published source. For the full-hash contracts it was 324 of 774, about 42%.
The one stripped contract with no source, 0xbaa66503..., drew two authorizations. The second most delegated contract in the whole sample, 0x67b743f3... with 144, carries a full IPFS hash and has no verified source on either service. Neither does 0x912518c2... with 96. Three unverified contracts of 2,140 bytes each carry the same IPFS hash, so they’re one build deployed three times.
The nine verified ones carry six contract names: Uniswap’s CaliburEntry at three addresses, Alchemy’s SemiModularAccount7702 at two, two TokenPocket delegators, UniversalGaslessDelegate, and the most delegated contract of all, with 308 of the window’s authorizations, whose verified source names it Poisoner.
Calibur’s foundry.toml and the one in Alchemy’s modular-account repository both set bytecode_hash = "none" as the project default. Neither file says why. Five of the ten addresses look mined: two start with eight zeros, one with 0x0000fb7702, one with 0x69007702, and one starts 0x77021100 and ends 0000. The metadata hash changes whenever a comment or a file path changes, even when the compiled code doesn’t, and an address found by searching CREATE2 salts depends on the exact bytecode. Dropping the hash ties the bytecode to the code alone. That’s my reading of the reason, not something either project says.
Sourcify answered for eight of the stripped contracts, and all eight came back as match, none as exact_match. Of the full-hash contracts it has, 13 of 17 are exact. Sourcify’s docs say an exact match rests on the metadata hash in the deployed code agreeing with the recompiled one, which is how it proves the source files are byte for byte the ones the author compiled. With no hash in the bytecode there’s nothing for that check to hold on to, so I’d expect every stripped contract to stop at match, whoever wrote it.
The authorization counts come from one 200-block window in September, so they say which delegates were busy then. Verified means Blockscout’s flag and Sourcify’s record as I read them on 27 October. I didn’t check Etherscan, which wants an API key, and a contract could be verified there and nowhere else. I also tried two public IPFS gateways for the hashes on the unverified contracts and both refused the requests, so I can’t say whether any of those metadata files exist somewhere.
Ten EIP-7702 delegates strip their metadata hash. Nine of them publish their source was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Blockchain security depends on a fundamental assumption: knowing a public key should not make it computationally feasible to derive its private key. Quantum computing could eventually challenge this assumption, forcing blockchain networks to reconsider how transactions are authenticated, how ownership is verified, and how existing accounts migrate to safer cryptography.
For B2B founders and developers, this is not simply an algorithm upgrade. It is a protocol compatibility, asset recovery, infrastructure, and governance challenge. A successful transition must strengthen cryptographic security without breaking wallets, smart contracts, transaction verification, or access to existing assets.
Many blockchain networks rely on elliptic-curve cryptography. Ethereum uses the Elliptic Curve Digital Signature Algorithm (ECDSA) over the secp256k1 curve for externally owned accounts (EOAs), while other networks use different signature schemes.
These systems remain secure against known classical attacks when implemented correctly. However, a sufficiently capable, fault-tolerant quantum computer could use Shor’s algorithm to solve the mathematical problem underlying elliptic-curve cryptography.
In conventional cryptography, deriving a private key from its public key is computationally impractical. Shor’s algorithm could change that by efficiently solving the elliptic-curve discrete logarithm problem on a sufficiently powerful quantum computer.
On Ethereum, an EOA’s address is derived from its public key. Although the public key is not directly displayed in the address, a valid transaction signature allows it to be recovered. Consequently, accounts that have transacted may already have exposed their public keys through transaction history.
This does not mean blockchain wallets can be compromised by quantum computers today. No currently demonstrated quantum computer can break these signatures at the required scale. However, blockchain infrastructure takes considerable time to upgrade, making early preparation important.
Another concern is harvest now, decrypt later. This primarily affects encrypted information rather than ordinary public blockchain transactions, which are already transparent. Nevertheless, organizations using blockchain alongside confidential business data should consider whether long-lived encrypted records could become vulnerable to future quantum attacks.
Post-quantum cryptography (PQC) uses mathematical problems believed to resist attacks from both classical and quantum computers. The National Institute of Standards and Technology (NIST) finalized two digital-signature standards in August 2024:
Lattice-based schemes rely on the difficulty of solving particular mathematical problems involving structured lattices. Hash-based signatures derive their security from cryptographic hash functions and carefully constructed signing processes.
These standards provide alternatives to vulnerable elliptic-curve signatures, but adoption requires careful engineering.
Traditional elliptic-curve signatures are relatively compact. Post-quantum signatures can be substantially larger, depending on the algorithm and parameter set. This creates several blockchain-specific challenges:
A migration that strengthens cryptography but makes transactions prohibitively expensive is not a successful production migration.
The most practical starting point is cryptographic agility: the ability to change authentication algorithms without redesigning an entire application or network.
Applications should avoid embedding assumptions about one signature algorithm throughout their business logic. For example, a transaction authorization layer can define the intended operation, account, chain identifier, nonce, expiry, and execution parameters independently of the cryptographic verification mechanism.
A verifier then checks the signature against the account’s authorized authentication policy. The architecture can be represented as:
Transaction intent → Authentication policy → Signature verification → Execution
On smart-account systems, developers may implement multiple verification methods within the account’s authorization logic. On networks with fixed EOA verification rules, protocol-level changes or new account mechanisms may be necessary.
This separation reduces the number of components that must change during migration. However, it does not make a protocol quantum-resistant by itself: the underlying authorization mechanism must also reject vulnerable authentication paths when required.
A wallet or smart account can use an explicit, versioned policy to identify its supported signature scheme. Such a policy might define:
The signed message should bind authorization to the intended chain, account, operation, and nonce. This helps prevent cross-chain replay and reuse of a signature for a different operation.
Algorithm identifiers alone are insufficient. The verifier must enforce valid parameters, canonical encoding, and unambiguous message serialization. Otherwise, inconsistent interpretation between implementations can create security vulnerabilities.
One possible transition strategy is hybrid authentication, in which an operation requires both a conventional signature and a post-quantum signature. For example, a smart account might require both signatures during a migration period before eventually switching to post-quantum-only verification.
This approach can provide defense in depth, but its security depends on the exact verification policy. If the account accepts either signature, an attacker who can break the legacy scheme may still have a path to authorization. If both are mandatory, the system must correctly verify both and handle the failure of either verification process.
Hybrid authentication also increases signature size, execution costs, implementation complexity, and wallet integration requirements. It should therefore be introduced through a clearly defined threat model and rigorous testing rather than treated as an automatic upgrade.
Replacing a signature scheme changes more than cryptography. It affects every component that creates, transports, verifies, or stores signatures.
If a transaction format assumes a fixed signature length or a specific elliptic-curve encoding, larger post-quantum signatures may require new transaction types or protocol rules.
Developers should benchmark transaction serialization, signature verification, block propagation, and worst-case execution costs. They should also test denial-of-service scenarios in which malformed transactions attempt to trigger disproportionately expensive verification.
On public blockchains, increased signature size can also raise transaction fees or put pressure on block limits. These costs must be measured under realistic network conditions, not estimated from cryptographic benchmarks alone.
Smart contracts may contain ECDSA-specific verification logic. Bridges, exchanges, relayers, custodians, and institutional wallets may independently assume a particular signature format. Upgrading a wallet therefore does not automatically make every connected application quantum-resistant.
Engineering teams should inventory these dependencies and determine whether each requires a contract upgrade, a new verification path, or a protocol-level change. They should also verify that external systems agree on the algorithm, signature encoding, and message format.
Migration requires control of the account or an explicitly authorized recovery mechanism. Lost keys, abandoned wallets, inaccessible hardware devices, and outdated multisignature policies can leave assets difficult or impossible to migrate.
Protocols must decide how to handle accounts that never migrate. Freezing legacy accounts, forcing transfers, or introducing recovery mechanisms creates security, governance, and ownership implications.
There is no universal solution for dormant accounts. Migration plans must account for users who cannot upgrade immediately without introducing arbitrary asset seizure or weakening account authorization.
Founders and engineering leads should treat post-quantum readiness as a phased engineering program.
1. Inventory cryptographic dependencies. Identify ECDSA, EdDSA, BLS signatures, elliptic-curve commitments, signature-verification contracts, wallet libraries, bridges, and custody systems. Not every cryptographic primitive has the same quantum risk, so classify each dependency individually.
2. Prioritize high-risk components. Focus on high-value keys, long-lived assets, critical infrastructure, and systems that cannot be upgraded easily. Document the assumptions each component makes about keys and signatures.
3. Build a replaceable authentication layer. Separate business authorization from algorithm-specific verification wherever the protocol permits. Define versioned formats and strict verification rules.
4. Prototype standardized algorithms. Evaluate ML-DSA and SLH-DSA using vetted implementations. Measure signature size, verification latency, memory consumption, throughput, and interoperability across supported platforms.
5. Test migration and recovery. Simulate legacy transactions, mixed-version clients, interrupted upgrades, failed key rotation, and account-recovery scenarios. Include malformed signatures, replay attempts, and resource-exhaustion tests.
6. Deploy through controlled stages. Use test networks, security reviews, and formal verification where appropriate. Establish explicit activation criteria, monitoring, emergency procedures, and a documented migration path before production rollout.
For Ethereum-based projects, monitor the Ethereum Foundation’s post-quantum research and the Ethereum quantum-resistance roadmap. These resources describe ongoing research and evolving plans, not guarantees that every proposed feature will be available by a particular date.
Post-quantum blockchain security is not achieved simply by selecting a quantum-resistant signature algorithm. It requires compatibility across wallets, contracts, validators, transaction formats, custody systems, and recovery processes.
The strongest preparation starts with cryptographic agility, dependency mapping, measurable performance testing, and a migration strategy that protects users who cannot upgrade immediately.
Quantum-resistant cryptography is becoming an important engineering consideration, but rushed implementations can introduce vulnerabilities of their own. Blockchain teams should begin by understanding their cryptographic dependencies, testing standardized alternatives, and designing migration mechanisms that preserve authorization and asset access.
For B2B founders, the strategic question is not only whether a protocol can adopt new signatures. It is whether the entire ecosystem can adopt them without compromising asset ownership, network performance, or trust.
Preparing Blockchain Authentication for the Post-Quantum Era: Signature Migration and Compatibility… was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
In the competitive Web3 industry, having a better product does not always guarantee better results. A blockchain startup may have advanced technology, secure smart contracts, and useful features, yet struggle to attract users. Meanwhile, a competitor with similar capabilities may gain attention through stronger communication, consistent content, and a well-planned crypto marketing strategy.
This is where crypto marketing becomes essential. It helps blockchain businesses communicate their value, reach relevant audiences, and build trust in a crowded market. Without a clear strategy, even innovative projects can remain unnoticed while competitors establish stronger brand recognition.
A successful Crypto Marketing Agency does more than promote a project on social media. It identifies the target audience, studies competitors, develops meaningful content, and selects channels that support measurable business objectives. Effective Crypto Marketing Services also help businesses explain complex blockchain products in ways that potential users can understand.
Consider two decentralized finance projects offering similar features. One publishes occasional technical updates, while the other shares educational articles, product demonstrations, and community insights. The second project may attract more attention because its audience has a clearer understanding of what it offers.
This does not automatically mean that the competitor has a better product. It means the competitor may be communicating its value more effectively.
Before increasing promotional spending, Web3 founders should consider these priorities:
The goal is not to copy another project’s promotional activities. It is to understand how better positioning, relevant Crypto Marketing Solutions, and consistent execution can help a strong product receive the attention it deserves.
Product quality is important, but people cannot evaluate a product they have never discovered. In Web3, projects compete across social media, search engines, developer communities, industry publications, and online forums.
A competitor may have a simpler product but communicate its benefits more clearly. Another may publish useful tutorials, respond quickly to questions, and explain its development progress regularly. These activities give potential users more opportunities to understand the product.
A Crypto Marketing Company can help identify these communication gaps and build a strategy around the project’s actual strengths.
Imagine a blockchain analytics platform that provides reliable on-chain data but uses highly technical language throughout its website. Potential customers may struggle to understand how the platform helps them.
Its competitor, however, explains how its tools help research teams monitor wallet activity and investigate token movements. Even if the underlying capabilities are comparable, the clearer explanation can make the competitor more appealing.
Effective crypto marketing connects technical features with practical benefits. It helps audiences understand why a product matters instead of expecting them to interpret complex technical information independently.
Marketing is rarely effective when it happens only during a product launch. Regular educational content, product updates, and community discussions help projects remain visible while giving audiences multiple opportunities to learn.
The objective is not to publish content every day without a purpose. It is to establish a consistent communication process that supports awareness, understanding, and adoption.
Before investing in additional campaigns, founders should examine how competing projects attract and retain attention. The objective is to discover opportunities rather than copy another brand’s approach.
A competitive review should cover messaging, content quality, audience engagement, distribution channels, and transparency.
Review how competing projects describe their products. Do they explain their target audience and primary benefits clearly? Are their claims supported by evidence? Do they address the questions potential users are likely to ask?
For example, a decentralized application might describe itself as a platform powered by smart contracts. A stronger explanation could describe the specific process it automates, the problem it solves, and the limitations users should understand.
This type of analysis can guide the development of more relevant Crypto Marketing Solutions.
Look at the educational articles, technical demonstrations, newsletters, and community discussions competitors publish. Determine which subjects generate meaningful questions and which formats help users understand the product.
Also examine how competitors respond to feedback. A project that answers questions transparently may build more credibility than one that publishes frequent promotional announcements but avoids difficult discussions.
The most useful competitive insights often come from identifying information that competitors overlook.
Your project may be able to provide clearer documentation, more detailed product demonstrations, practical tutorials, or better explanations of token utility. These improvements can create a distinctive position without requiring the business to imitate another project’s identity.
Once the competitive gaps are clear, the next step is to develop a crypto marketing strategy that connects the project’s capabilities with the needs of its audience.
Start by defining three things: who the product serves, what problem it solves, and what evidence demonstrates its value.
Blockchain products often involve smart contracts, decentralized governance, token standards, and complex infrastructure. However, different audiences need different explanations.
Developers may want integration documentation, while business customers may prioritize operational benefits. Everyday users may care more about usability, transaction fees, and security.
A cryptocurrency marketing agency should understand these differences when planning content and campaigns.
For example, rather than simply stating that a platform uses smart contract automation, explain which tasks it automates, how the process works, and what users need to know before relying on it.
Your website, social media accounts, articles, and community channels should communicate a consistent value proposition.
Consistency does not mean repeating identical sentences. It means ensuring that each communication reinforces the project’s actual purpose.
A clear message also helps a crypto token marketing agency or internal marketing team develop campaigns that remain aligned with the product rather than following every emerging market trend.
Avoid relying on unsupported claims about guaranteed returns, explosive growth, or future token prices. Instead, use product demonstrations, technical documentation, verified milestones, and authentic customer feedback.
This approach makes the project’s communication more credible and gives potential users better information for evaluating its value.
Being present on every platform is not always an effective marketing strategy. Projects should prioritize channels that reach their intended audiences and support their specific objectives.
SEO can help blockchain businesses reach people who are actively researching solutions. Educational articles, technical guides, and product comparisons can answer relevant questions while introducing the project’s capabilities.
For example, a smart contract security provider might publish practical content about common vulnerabilities, audit preparation, and testing methods. Such resources can attract developers who need these services.
Social platforms help projects communicate updates, explain features, and participate in industry conversations. Community channels also provide opportunities to answer questions and gather feedback.
The emphasis should remain on relevant interactions rather than follower counts alone.
Creators, industry publications, and strategic partnerships can introduce projects to new audiences. However, campaign selection should be based on audience relevance, credibility, and transparent communication.
A smaller creator with an engaged developer audience may be more useful to an infrastructure project than a larger creator whose audience has little interest in the product.
Managing content, community engagement, competitor research, and campaign measurement requires time and specialized knowledge. Crypto Marketing Services can help businesses coordinate these activities under a unified strategy.
The value of external support depends on the provider’s expertise, the agreed deliverables, and the project’s objectives.
A suitable Crypto Marketing Company may support several areas.
When evaluating crypto marketing agencies, founders should ask how each activity supports business goals. They should also distinguish measurable deliverables from outcomes that no provider can guarantee.
Token projects face an additional challenge: explaining the token’s purpose while attracting attention in a crowded market.
Token marketing should clarify how the token fits into the ecosystem, how its supply is structured, and what users can realistically expect from its functionality.
A practical token launch marketing strategy should cover three stages.
Token launch marketing services should be evaluated according to the quality of these activities, the audiences reached, and the accuracy of the information provided.
Token sales marketing may involve explaining distribution terms, vesting schedules, token allocation, and participation requirements. These details should be consistent across public communications.
A token marketing campaign should not rely on guaranteed-return claims or artificial urgency. Legal and promotional requirements must also be assessed for the relevant jurisdictions.
A qualified crypto token marketing agency can help coordinate campaign messaging and audience education, but founders remain responsible for ensuring that token offerings and public claims comply with applicable requirements.
Strong visibility does not automatically translate into product adoption. Founders should measure whether marketing activities attract relevant users and help them progress toward meaningful actions.
Useful indicators may include:
For example, a campaign that attracts thousands of visitors but produces very few active users may be less valuable than a smaller campaign that reaches people with a genuine need for the product.
A good marketing team combines analytics with direct feedback to identify where users lose interest and which improvements could increase adoption.
A competitor with stronger marketing may gain attention even when its technology is not significantly better. However, Web3 businesses can close that gap by communicating their strengths clearly, choosing relevant channels, and building credibility through consistent execution.
The priorities are straightforward:
Ultimately, effective crypto marketing is not about making a weaker product appear superior. It is about ensuring that the right audience understands your project’s genuine value and has a compelling reason to explore it.
What If Your Biggest Web3 Competitor Isn’t Better, Just Better Marketed? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Every time someone said “Web3,” I zoned out.
Wallets. Gas fees. DAOs. Every explanation came with three more explanations I hadn’t asked for, and the person explaining usually had a cartoon ape as their profile picture. Not a great look.
Then a friend who works in payments watched me nod along for the tenth time and said, “Stop thinking about the tech. Just ask who owns what.”
That’s it. That’s the whole thing. I wish someone had said it to me in 2021.
Web1 was a library. You walked in, read something, walked out. Late 90s, early 2000s. Somebody built the page and you looked at it.
Web2 is the one you’re on now. You can post, comment, upload, sell, review. Instagram, YouTube, Amazon. And it’s great, genuinely. But somewhere along the way the deal changed. You make the stuff. They hold the keys.
Web3 is the idea that you could read, write and own. The last word is the one doing all the work.
Think about something you’ve built online. A following, a channel, a gaming account you’ve put hundreds of hours into.
Who can switch it off?
Not you. I know people who’ve lost accounts to a wrong automated flag, then spent weeks pinging a support form that answered with a template. Weeks without income, waiting on a reply from something that isn’t even a person.
Web3 is a bet that this setup is a design choice, not a law of nature. What if your account and your money and your stuff were with you, and the apps just plugged in?
It sounds complicated and it mostly isn’t. Four pieces.
Blockchain. A shared record book. Thousands of computers each hold the same copy. Somebody writes “Priya sent Tom five euros,” every copy updates, done. To fake an entry you’d need to fool most of them simultaneously, which is why nobody needs a bank to vouch for the book.
Wallet. Your account, except no company holds it. You hold a private key. Think front door key. Lose it and there’s no locksmith and no “reset password” link. Some people hear that and feel free. Others feel sick. Both reactions make sense to me.
Token. A digital item recorded on a blockchain. Could be money, a ticket, a membership, a piece of art. It sits in your wallet, so nobody can quietly take it back.
Smart contract. A small program that runs on the blockchain and does what it was told. Payment lands, item gets released. No middleman. Which is lovely until the code has a bug, because then there’s nobody to phone.
NFTs, DeFi, DAOs, all the names you keep hearing: those are just these four stacked in different combinations.
She uploads a track to a streaming platform. The platform decides what a play is worth. Money arrives weeks later, after the label and the distributor each take a bite. If the platform changes the rules, she adapts or leaves.
Now imagine the split is written into a smart contract. Each sale divides automatically between her, the producer and the co-writer, in the percentages they agreed to. Minutes, not months. Nobody emails anybody about a missing payment.
Is that real today? In small pockets, yes. Will it replace Spotify next year? No chance. But it shows you the shape of the idea, and once you see it it’s hard to unsee.
Skipping this is how people get hurt, so here goes.
Web3 has an ugly history. In 2021 and 2022 people paid silly money for NFT images, and most of those prices fell off a cliff. Loads of crypto projects were pure speculation. Some were just fraud. People lost savings, and that’s not a small thing.
My own view, and you’re free to disagree: the technology and the casino that grew around it are two different things. A lot of people came for the casino and called it Web3. The dot-com crash wiped out a pile of companies in 2000 and the internet is still around.
Still, I’m careful. My rules:
Forget the memes. The serious work is in finance. Banks and institutions are testing tokenized assets, faster settlement and payments that carry their own rules. Cross-border transfers are slow and pricey today, and blockchain rails could change that. Central banks have been running experiments with digital versions of their currencies too.
Nobody tweets about settlement times. That’s partly why it’s easy to miss.
Know it. Don’t obsess over it.
You don’t need to buy anything this week. You don’t need a wallet by Friday. But the question underneath all of this, who owns your digital life, isn’t going away. More of our work, money and identity moves online every year, and someone will answer that question with or without your input.
Knowing the basics is also just self-defence. The people who get burned are usually the ones who didn’t know what they were buying.
If someone asks, try this: “It’s the idea of an internet where you own your accounts, your money and your stuff, instead of renting them from a few big companies.”
Good enough. Nod at the rest.
I Ignored Web3 for Years. One Question Finally Made It Click was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
The United States has established a Strategic Bitcoin Reserve. The next challenge is expanding it without spending additional taxpayer money.
In an interview, Patrick Witt discussed potential ways the government could acquire more Bitcoin, including gold revaluation, alternative acquisition strategies, and Bitcoin mining. He also addressed the long-term risks posed by quantum computing.
Together, these ideas point to a broader question: Could Bitcoin become a strategic national asset for the United States, and how could the government build its reserves responsibly?
Witt connects economic security with national security.
A country vulnerable to debt pressures, financial instability, or disruptions in essential supply chains may find its strategic options limited during a crisis. The COVID-19 pandemic demonstrated how dependence on foreign manufacturing and supply chains can create vulnerabilities.
Bitcoin presents a different proposition. Its supply is capped at 21 million coins, and its network operates independently of any single government.
Supporters believe these characteristics could make Bitcoin valuable as a long-term reserve asset. But its volatility remains a major concern, and its effectiveness as a national reserve during a financial crisis is still unproven.
The significance is not that Bitcoin is risk-free. It is that policymakers are increasingly considering whether its monetary properties could serve a strategic purpose beyond investment returns.
In March 2025, President Donald Trump signed an executive order establishing the Strategic Bitcoin Reserve.
An immediate priority is managing and securing Bitcoin already held by the federal government, much of which was obtained through asset forfeitures. The order directs the government to retain qualifying Bitcoin in the reserve rather than routinely sell it.
It also calls for exploring budget-neutral ways to acquire additional Bitcoin.
That creates the central challenge: the government wants to expand its holdings without simply relying on new taxpayer-funded purchases.
The question is therefore not only whether the United States should hold Bitcoin, but how it can legally and practically acquire more.
Several possibilities have been discussed, but they remain proposals to evaluate rather than established acquisition programs.
One of the more unusual ideas raised by Witt is the potential revaluation of U.S. gold reserves.
The Treasury’s official book value for gold is based on a statutory price of approximately $42.22 per fine troy ounce, far below its modern market price.
Updating that valuation could change the government’s accounting position. Advocates have explored whether the resulting financial arrangements could help create a pathway to acquiring Bitcoin without conventional new spending.
However, revaluing gold on paper does not automatically generate spendable cash or grant the government legal authority to buy Bitcoin.
Any such approach would require careful analysis of Treasury accounting, gold certificates, applicable federal law, and spending authority. It is an idea under consideration, not a finalized policy.
Witt also discussed other potential approaches, including converting certain government receipts into Bitcoin and using underutilized, government-controlled energy resources for Bitcoin mining.
These options raise their own questions about legal authority, costs, operational feasibility, and whether they could genuinely expand federal Bitcoin holdings without creating new taxpayer burdens.
Bitcoin’s long-term future also depends on its ability to withstand technological change.
Witt discussed the potential threat from quantum computing, which could eventually undermine some of the cryptographic systems used to secure Bitcoin and other digital infrastructure.
The concern extends well beyond cryptocurrency. Banking networks, encrypted communications, and sensitive government information could also face risks if sufficiently powerful quantum computers become available.
The timeline remains uncertain. The challenge is to prepare before the technology becomes capable of breaking cryptographic protections currently considered secure.
For Bitcoin, that means developing and adopting quantum-resistant security measures where needed, while ensuring that wallets, protocols, and custodians can transition safely.
A fixed supply may be central to Bitcoin’s design, but its long-term value also depends on the security and adaptability of the technology supporting it.
The Strategic Bitcoin Reserve raises a question much larger than whether Bitcoin’s price will increase.
Can the United States build Bitcoin reserves into a lasting strategic asset while managing the financial, legal, and technological risks?
Witt’s remarks suggest that officials are exploring possible answers. But establishing a reserve and developing a sustainable strategy to expand it are two different challenges.
The next major step may not be a large Bitcoin purchase. It may be finding a legally sound, financially responsible mechanism for increasing federal holdings without relying on additional taxpayer-funded spending.
That is the real policy challenge: turning the idea of a Strategic Bitcoin Reserve into a practical, sustainable strategy.
How the U.S. Could Expand Its Bitcoin Reserve Without Spending More Taxpayer Money was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Every AI conversation ends the same way: close the session and the context is gone. Lighthouse Memory, the newest product from decentralized storage protocol Lighthouse, fixes that with three primitives, remember, recall and forget, persisting every memory as a verifiable blob an agent can carry across models, tools and sessions.
Most people assume an AI “forgets” because the model isn’t smart enough to hold onto details. That’s not what’s happening. A context window is everything the model can see in the current conversation. Memory is what persists after that conversation ends. These are two different things, and most AI tooling has never actually separated them.
That’s why the same frustration repeats across every tool: start a new chat and you re-explain your project. Switch from one assistant to another and the new one is a stranger. Come back to the same thread three days later and useful context has already fragmented across sessions you can’t easily stitch back together.
The fix isn’t a bigger context window. A window that holds more still resets the moment the session ends. What’s missing is a persistence layer outside the model itself, somewhere an agent can save what matters and retrieve it later, on demand, regardless of which model or client is running at the time.
The public surface is three verbs: remember, recall and forget. An agent connects through one of two paths, a hosted MCP server at memory-api.lighthouse.storage/mcp for any MCP-capable client (Claude Code and Claude Desktop both connect directly), or a TypeScript SDK for custom builds.
The public surface is three verbs: remember, recall and forget. An agent connects through one of two paths, a hosted MCP server at memory-api.lighthouse.storage/mcp for any MCP-capable client (Claude Code and Claude Desktop both connect directly), or a TypeScript SDK for custom builds.
Every memory that gets saved is persisted as a verifiable blob addressed by an IPFS-compatible CID, the same addressing scheme IPFS has always used. You choose the storage backend per store: Walrus, built on Sui, where memories exist as Move objects secured by erasure coding, or Filecoin, with a longer track record and continuous storage proofs (PoRep and PoSt). Retrieval works the same way regardless of which backend holds the data, recall() searches by meaning rather than exact keyword matching, and returns the matching memories with their id, CID, relevance score and tags.
Lighthouse doesn’t force a single storage philosophy. Each memory store picks the backend that fits the workload.
As of August 2026, Lighthouse’s own pricing put Filecoin’s free tier at 5 GB against Walrus’s 100 MB, with entry-level paid plans starting around $12 a month, reflecting Walrus’s higher per-gigabyte cost for its faster retrieval. The practical split: reach for Walrus when an agent needs memories back quickly and often, and Filecoin when the priority is archival durability at the lowest possible cost per byte.
The detail that separates Lighthouse Memory from most memory products bolted onto a single assistant: it never calls a language model itself. It has no opinion about which model is doing the reasoning. An agent can run on GPT, Claude, Llama, Qwen, Mistral or DeepSeek through Ollama or vLLM, recall context from memory, and inject it directly into the prompt.
That matters practically, not just architecturally. A support agent might store “Your staging environment is at staging.acme.dev” from one conversation. Because that memory lives in Lighthouse rather than inside whichever client wrote it, a completely different model asked the same question later returns the same correct answer. Switching tools doesn’t reset what’s been learned.
Under the hood, both supported engines (a batched engine for standard use, and memwal for encrypted memory with Walrus and SEAL) implement the same interface: remember, recall, list, get, forget, status and snapshot. That consistency is what lets Lighthouse Memory function as one shared layer across every model a team happens to be using, rather than a feature locked to one vendor’s ecosystem.
Because every memory carries an id, a CID, a relevance score and tags, an auditor can reconstruct exactly what an agent knew at the moment it made a decision, not just what it eventually did. That’s a genuine audit capability most memory layers simply don’t offer: poll status() and you can catch pending memories at session end, a keyword fallback where semantic embeddings should have matched, or a stale snapshot CID before it becomes a production problem.
Lighthouse’s own documentation is unusually precise about where that verification stops. A CID proves a memory exists and hasn’t been silently altered since it was written. It does not prove the memory was true when it was recorded. It does not prove the agent recalled the correct memory for the question it was answering. And it doesn’t establish who wrote a memory unless that’s explicitly recorded, which Lighthouse Memory does via an agent field on every entry.
That’s a narrower, more honest claim than most “verifiable AI” marketing makes, and it’s worth taking seriously for exactly that reason. Deletion semantics follow the same precision: on the Lighthouse/Filecoin path, forget() stops the storage period from renewing, the content stays technically readable until that period lapses, then is reclaimed. On Walrus, forget() removes the local copy and unpins the IPFS mirror immediately. Anyone building on this for private or regulated data should pick a backend based on that distinction, not discover it after the fact.
Two integration paths, depending on what’s being built.
For an MCP-capable client like Claude Code or Claude Desktop, connecting is a one-line command pointing at Lighthouse’s hosted MCP server:
claude mcp add lighthouse-memory \
--transport http "https://memory-api.lighthouse.storage/mcp" \
--header "Authorization: Bearer $LIGHTHOUSE_API_KEY"
Once connected, the agent gains remember, recall and forget as tools it calls on its own, deciding when something is worth saving and when a question calls for retrieving something it already knows.
For a custom agent build, the TypeScript SDK gives direct control:
Loginimport { createStorage, createEmbedder } from '@lighthouse-ai/core';
import { BatchedEngine } from '@lighthouse-ai/engine-batched';
import '@lighthouse-ai/store-lighthouse';
import '@lighthouse-ai/embed-local';
const memory = new BatchedEngine(
createStorage(),
{ namespace: 'my-agent', embedder: await createEmbedder('local') }
);
await memory.remember('Our project uses TypeScript.', {
tags: ['stack'],
});
await memory.flush();
const context = await memory.recall('What language do we use?');That’s the entire surface. No vector database to provision, no schema to design before the first memory is saved.
Lighthouse didn’t arrive at this problem from the AI side. The company spent years running decentralized storage on IPFS and Filecoin, serving a reported 2,000+ teams, with encryption, token gating and gateway infrastructure already in production before “agent memory” was a category anyone was pitching. The June 2026 Walrus integration moved from announcement to full SDK support within a single quarter, a faster shipping cadence than most infrastructure teams manage.
Lighthouse has a token generation event approaching. No official date has been confirmed as of this writing, so treat any specific timeline you see elsewhere as unverified. What’s actually worth evaluating right now is the product itself: a memory layer that’s model-agnostic, backed by a choice of two storage networks, precise about what its verifiability claims do and don’t cover, and already running in production MCP setups today. Whatever the TGE ends up looking like, that’s the part that’s live and testable right now.
Your AI Agent Has Amnesia: Inside Lighthouse Memory was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
TL;DR: October 8 marks the cutoff for production-style staging traffic on The Graph’s centralized Subgraph Studio endpoints for Polygon and BNB Chain. Developers are being pushed onto The Graph Network, where independent indexers serve queries and earn the associated fees.
The Graph is shutting another door on the centralized infrastructure that helped bootstrap its ecosystem.
October 8 is the transition deadline for Subgraph Studio staging traffic on Polygon and BNB Chain, moving those queries toward The Graph‘s decentralized network of indexers.
For users of decentralized applications, almost nothing visible should change.
For the infrastructure underneath those apps, the difference is important.
Subgraphs organize blockchain data so applications can ask useful questions without scanning an entire chain every time they need information.
A DeFi front end might use a subgraph to retrieve positions, transaction histories or protocol statistics.
Historically, developers could rely on hosted or Studio infrastructure provided centrally while they built and tested those applications.
That was convenient, but it created an awkward contradiction.
Apps marketed as decentralized could still depend on a centralized indexing endpoint to retrieve the data required to function.
The Graph has been working to move that traffic onto its decentralized network.
Polygon and BNB Chain are the first major environments in the current migration stage.
Developers whose subgraphs are already published to The Graph Network do not need to make major changes.
Projects still pointing production traffic toward Studio staging endpoints need to publish their subgraphs, configure billing and switch to network gateway endpoints.
Once traffic moves, independent indexers serve those queries and earn fees in GRT.
That gives the migration an economic dimension as well as a technical one.
Usage that previously sat inside centralized infrastructure becomes activity that contributes directly to the decentralized network’s fee market.
The Graph Foundation has been trying to make that distinction increasingly clear.
Studio remains useful as a development and staging environment, but it is not intended to be the permanent production backend for decentralized applications.
The October 8 deadline forces the issue for two of crypto’s larger application ecosystems.
BNB Chain and Polygon both host large numbers of smart contracts and user-facing dApps, so moving their query traffic can provide a meaningful test of whether decentralized indexing can absorb production workloads cleanly.
Developers may not love mandatory migrations.
Endpoints have to be updated, billing needs to be configured and any infrastructure transition introduces the possibility of something breaking.
But the alternative is leaving a central dependency embedded inside applications that otherwise claim to be decentralized.
The Graph has spent years arguing that blockchain data access should itself be a network.
For Polygon and BNB Chain developers, that argument just became less optional.
TL;DR: Polymarket has begun testing Protocol V2, a major rebuild of the smart contracts behind its prediction markets. The architecture consolidates markets around a unified exchange system and pUSD collateral, with canary testing expected to continue through October 30 ahead of a tentative November 2 transition for new markets.
Polymarket is replacing much of the infrastructure underneath the product that made it one of crypto’s best-known prediction markets.
Protocol V2 has entered live testing, introducing a new smart-contract architecture designed to simplify how markets, positions, collateral and settlement interact.
The changes are deeper than a user-interface refresh.
Polymarket’s existing infrastructure grew over time around a collection of contracts and extensions.
V2 moves toward a more unified structure capable of supporting different market types through a common system.
One of the most visible changes is collateral.
The new architecture standardizes around pUSD, giving new markets a common collateral asset rather than relying on the older arrangement.
Positions are also being consolidated through a shared token framework, while routing and oracle components are being reorganized to make new market types easier to support.
Polymarket is not moving everything at once.
A limited set of canary markets is being used to test the V2 contracts in live conditions through October.
The current schedule calls for that testing phase to run until October 30, with November 2 targeted as the point at which new markets begin moving fully to the updated system.
Existing markets do not simply disappear.
Legacy positions can continue to settle under the infrastructure on which they were created.
That phased approach reduces the risk of forcing open markets through a contract migration while funds and positions remain active.
The overhaul arrives as prediction markets continue to expand beyond a niche crypto product.
Platforms such as Polymarket now attract substantial attention around elections, macroeconomic events, technology, sports and breaking news.
As volumes and market variety increase, infrastructure built for a smaller product can eventually become a constraint.
Protocol V2 appears designed to solve that before it becomes a larger problem.
The upgrade also gives Polymarket more flexibility in how it creates markets and resolves outcomes.
That could become important as the platform expands into more complicated events that cannot always be represented cleanly by a single yes-or-no contract.
For users, the immediate change may look modest.
Underneath the interface, however, Polymarket is replacing much of the system responsible for determining what a position is, what backs it and how it settles.
For a prediction market, there are few pieces of infrastructure more important than those.
Minting a tokenized asset is often presented as the finish line. It is not. For a tokenized real-world asset (RWA), minting only creates the on-chain representation of an underlying asset. The harder engineering work begins afterward: keeping ownership accurate, enforcing transfer rules, managing investor permissions, processing corporate actions, updating asset data, and eventually redeeming or retiring the token.
This makes tokenized asset lifecycle management less about creating tokens and more about maintaining a reliable connection between the token, its owner, its underlying asset, and the rules governing that asset. For crypto founders building RWA platforms, understanding this lifecycle is critical. A token can be technically valid on-chain while still becoming operationally useless if the systems behind it cannot manage what happens after issuance.
When an asset is tokenized, the platform typically performs several steps before minting,
After minting, however, the system enters an ongoing lifecycle. A simplified flow looks like this:
Each stage introduces different technical and business requirements.
The biggest challenge in RWA infrastructure is maintaining the relationship between an on-chain token and an off-chain asset. Consider a token representing a $1 million commercial property. The blockchain can record:
Token ID: PROP-001
Supply: 10,000
Owner: Wallet A
But it does not inherently know:
This requires an off-chain asset registry or legal ownership layer. A robust architecture therefore separates:
Contains information such as:
Contains information such as:
The two layers must remain synchronized.
Once tokens are minted, ownership can change. A compliant tokenization platform cannot simply allow unrestricted wallet-to-wallet transfers like a conventional cryptocurrency. For regulated assets, a transfer may need to pass through several checks:
Transfer Request
↓
Wallet Eligibility Check
↓
KYC / AML Status
↓
Jurisdiction Check
↓
Holding / Transfer Limits
↓
Smart Contract Validation
↓
Token Transfer
↓
Ownership Record Update
The smart contract can enforce some of these rules directly. For example, a permissioned token contract can maintain an allowlist of approved addresses:
if recipient ∈ approved_addresses:
execute transfer
else:
reject transfer
More complex platforms may combine on-chain restrictions with an off-chain compliance engine. This creates an important design principle: compliance should not depend entirely on a backend database if the asset requires immutable enforcement. Critical restrictions should be enforceable at the token layer wherever appropriate.
A token does not represent a static asset forever. Its underlying asset may change in value, status, ownership structure, or financial performance. For example, a tokenized bond may require updates for:
A tokenized property may require:
This introduces the need for trusted data feeds.
Blockchains cannot directly access external databases or real-world events. An oracle layer can provide verified information to smart contracts. For example:
Property Valuation Provider
↓
Oracle / Data Verification
↓
Blockchain
↓
Tokenized Asset Contract
The challenge is not simply getting data on-chain. It is determining whether that data is trustworthy. For high-value assets, platforms may require multiple data sources, signed data, validation rules, and fallback mechanisms rather than trusting a single API.
One of the most important post-minting requirements is handling corporate actions. A tokenized financial asset may generate events such as:
Suppose 10,000 tokens represent shares in an asset that generates $50,000 in distributable income. The platform needs to determine:
A distribution engine can calculate the entitlement:
Investor Payout = Eligible Token Balance × Distribution Rate
The result can then be settled through stablecoins, bank rails, or another approved payment mechanism. This is where tokenization starts creating genuine operational efficiency: ownership records and financial entitlements can become machine-readable.
Token transfer does not always mean economic settlement is complete. For example:
Buyer
↓
Payment
↓
Settlement Engine
↓
Token Transfer
↓
Ownership Confirmation
Atomic delivery-versus-payment (DvP) mechanisms can coordinate the movement of money and assets so that one side does not compete without the other. This reduces counterparty risk. For tokenized securities and institutional assets, DvP becomes particularly important because simply transferring tokens between wallets does not guarantee that the corresponding payment has been settled.
Eventually, the underlying asset may mature, be sold, redeemed, or otherwise cease to exist. The token must reflect that event. A typical redemption flow is:
Redemption Request
↓
Eligibility Verification
↓
Asset Settlement
↓
Investor Payment
↓
Token Burn
↓
Supply Updated
Burning removes the token from circulation. This prevents the blockchain from continuing to represent an asset that has already been redeemed or retired. For platforms supporting multiple asset types, lifecycle states can therefore be modeled explicitly:
MINTED
↓
ACTIVE
↓
TRANSFERABLE
↓
REDEEMABLE
↓
REDEEMED
↓
BURNED
The exact state machine depends on the asset and regulatory structure.
The biggest architectural mistake is treating tokenization as a single smart contract. A production-grade platform is closer to a coordinated system of components:
Each component handles a different part of the asset lifecycle. This separation makes the system easier to audit, upgrade, and integrate with institutional infrastructure.
The value of tokenization is not simply putting an asset on a blockchain. The real opportunity is creating a programmable lifecycle around that asset. A mature tokenized asset platform should be able to answer, at any point:
If those questions cannot be answered reliably, minting the token has solved only a small part of the problem.
Token minting creates the on-chain representation of an asset. Lifecycle management makes that representation operational. For B2B crypto platforms, the strongest architecture is therefore not the one with the most sophisticated minting contract. It is the one that reliably coordinates ownership, compliance, asset data, transfers, settlement, corporate actions, and redemption throughout the asset’s entire existence.
The future of tokenized assets will depend less on creating more tokens and more on building infrastructure capable of managing what happens to them after they are created. A reliable token development company can help entrepreneurs and founders desiring to create their own tokens.
Tokenized Asset Lifecycle Management: What Happens After the Token Is Minted? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Around 1,500 people attended the first TOKEN2049 in Hong Kong in 2018. This week, more than 25,000 are expected in Singapore.
That growth tells a pretty good story about how much the crypto industry has changed.
TOKEN2049 started in Hong Kong on March 20–21, 2018. Co-founder Alex Fiskum later explained that the original idea was partly practical:
So they invited founders, investors and builders they knew — and the network expanded from there. Even the name “2049” was chosen to sound futuristic and memorable.
The geography changed with the market too:
→ 2018–2019: Hong Kong
→ 2021–2022: London
→ Since 2022: Singapore
→ Since 2024: Dubai
Singapore and Dubai eventually became the 2 flagship editions. Dubai 2026 was postponed because of regional uncertainty and will return on April 21–22, 2027.
Early TOKEN2049 sessions were heavily focused on blockchain applications, crypto projects and the emerging token economy. By 2022, the agenda already included institutional onboarding and regulation. In 2025, TOKEN2049 Dubai was discussing tokenized real-world assets, on-chain finance, decentralized AI and regulation.
The 2026 Singapore program takes that convergence even further. This year’s main themes include:
One panel is literally called “DeFi’s Institutional Breakthrough,” while another asks how institutional finance moves on-chain.
The speaker list shows how broad TOKEN2049 has become: There’s
Nasdaq CEO Adena Friedman,
Franklin Templeton CEO Jenny Johnson,
Polymarket’s Shayne Coplan,
Hyperliquid’s Jeff Yan,
Eric Trump,
Tyler and Cameron Winklevoss,
plus Formula 1 names Max Verstappen and Lando Norris. Norris also has a dedicated main-stage session.
The main conference runs October 7–8 at Marina Bay Sands, but TOKEN2049 Week stretches from October 5–11 with more than 1,000 side events. Conveniently, the Singapore Grand Prix follows on October 9–11.
Maybe that is the easiest way to understand TOKEN2049 today: it is no longer just a crypto conference, it has become a place where crypto, traditional finance, payments, AI, politics and culture meet in the same room.
If you could get 10 minutes with one TOKEN2049 speaker, who would it be — and what would you ask?
TOKEN2049 Before Singapore 2026: A Quick Look Back was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Everyone moved on from the hype. The people still building didn’t.
Okay, so 2021.
I [where were you in 2021? what did you do, buy, almost buy, roll your eyes at?]. Everybody I knew had a take on crypto. My group chat was basically a casino. Someone’s uncle was selling a cartoon ape for more than my car was worth. Brands were announcing “metaverse strategies” like it was a real department.
And then it all fell apart, fast.
FTX went down in November 2022. NFT prices cratered. The metaverse became a joke people told at parties. And I thought what most people thought: well, that’s that, it was a scam, it’s over.
Except I kept noticing something weird. The tech kept shipping. Quietly. Nobody was tweeting about it, which is exactly why I missed it.
This is the thing I wish I’d understood sooner.
Hype is a price chart. Technology is something that either works or doesn’t. When the speculators left, they took the noise with them, and what stayed was a smaller crowd fixing boring problems. Boring is where actual adoption usually starts. Nobody brags about plumbing, but you’d notice pretty quickly if it stopped.
Think about the dot-com crash. Pets.com is dead. Amazon isn’t.
The loudest criticism for years was energy use, and honestly, it was fair. Proof-of-work burned a ridiculous amount of power.
Then in September 2022, Ethereum switched to proof-of-stake. The Ethereum Foundation says energy use dropped by about 99.95%. That’s not a rounding error, that’s a fixed problem. And it landed in the same news cycle as the FTX mess, so almost nobody heard about it. Good news really does have terrible timing in this industry.
If you pushed me to name one place where Web3 found real use, I wouldn’t say NFTs. I wouldn’t say DAOs either, and I say that as someone who sat through way too many DAO calls. [optional: your own experience]
I’d say stablecoins. Tokens pegged to the dollar. Sounds dull, and it is dull, which is kind of the point.
Picture sending money to family in another country. A bank wire can take days and eat a chunk in fees. A stablecoin transfer can land in minutes, on a Sunday, for pennies, even if the person on the other end doesn’t have a proper bank account. Freelancers in countries with shaky currencies use them to park savings. Companies use them to settle payments across borders.
And the grown-ups have noticed. Visa and Stripe have both been building stablecoin payments into what they offer, and in 2025 the US passed its first federal stablecoin law, the GENIUS Act. When Visa and Congress both start paying attention to something, “dead” is the wrong word.
Yeah. That experience killed a lot of curiosity. [your own gas fee horror story, if you have one, it’ll land better than anything I write]
What fixed it wasn’t a big flashy launch. It was Layer 2 networks, things like Arbitrum, Optimism and Base, which bundle a pile of transactions together and settle them on Ethereum in one go. Fees often fall to a few cents or less. Coinbase launched Base in 2023 with basically no drama, just “here’s a cheaper place to build.” And builders went there.
That’s the pattern really. Less manifesto, more “does it work.”
This part still cracks me up. The whole movement started as a way to get around traditional finance, and now traditional finance is one of its biggest customers.
US spot Bitcoin ETFs were approved in January 2024, and spot Ether ETFs came later that year. Big asset managers have also been playing with tokenization, putting things like treasury funds on a blockchain so they settle faster. Whether you think that’s a win or a betrayal of the original idea, it’s not what a dead industry looks like.
Parts of it, yes. I’m not going to pretend otherwise.
A lot of the last cycle was rotten. Rug pulls. Influencers hyping tokens they’d already bought. Wash trading. FTX, which wiped out regular people’s savings. If you lost money, you’re allowed to be furious, and nobody should tell you to get over it.
Plenty of things deserved to die:
So no, I’m not here to tell you everything was fine. I’m saying the garbage and the useful stuff got mixed together, and when we threw out one we threw out the other.
Ignore token prices for a while. Seriously. Look at this instead:
That last one is the real test. Nobody says “I’m using TCP/IP today,” and I suspect that’s how this ends up too.
I don’t think the question is “is Web3 dead?” That’s a price-chart question, and price charts are the wrong place to look.
I’d ask: what’s working right now that I’m not paying attention to?
Because the folks who were right about the internet weren’t the ones yelling in 1999. They were the ones still building in 2002. [your closing thought, one sentence about where you stand now]
Not financial advice. I’m a writer, not your broker.
What’s your honest take: dead, dormant, or just getting started? Tell me in the comments, I actually read them.
Web3 Didn’t Die. It Just Stopped Being Loud Enough for You to Notice. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Choosing a ramp provider starts with deciding how much you want to build yourself. Some teams go live in days with a ready made checkout, while others build their own screen and connect through an API. Each option comes with different compliance and legal responsibilities, so it is worth knowing what you are taking on before you sign.
Ramp providers use different names for these options. MoonPay calls them a hosted widget and Headless Ramps, while Transak offers a prebuilt widget and a whitelabel API. The names differ, but the choice is simple: use the provider’s checkout, or build your own on top of their API.
Table 1. Ramp Integration Options
Both options can be delivered through a redirect, iframe, SDK, or native mobile integration. And even with a headless setup, some parts may still belong to the provider. For example, MoonPay says KYC and authentication run through its own single use frames.
Running KYC yourself does not necessarily shift regulatory responsibility. Transak’s KYC reliance option uses identity and biometric data from your existing vendor, allowing verified users to purchase up to $20,000 without another check. Transak describes this as reducing workflow without transferring liability.
The same applies to the purchase itself. MoonPay’s European terms state that customers buy crypto directly from MoonPay, and orders are final and non refundable. If a customer wants a refund, the request goes to MoonPay rather than the platform using the ramp.
Every provider lets partners add a markup on top of its fees. The rate, payout threshold, and payment method vary by provider.
Table 2. Provider’s markup, payout, & paid in summary
Some providers also gate commissions behind volume. Ramp, for example, makes its commission program available only to partners meeting its monthly volume criteria, with quarterly payouts below its threshold. Check what the arrangement pays at your current volume.
The EU transitional period for MiCA ended on 1 July 2026. From that point, providers offering MiCA services to EU clients generally need to operate through an authorised EU entity. The ESMA register is the place to check which legal entity holds that authorisation.
Searching by brand can come up empty because the authorisation belongs to a specific legal entity. Ramp Network, for example, is listed as Ramp Swaps (Ireland) Limited, while Banxa operates through EU Internet Ventures B.V.
That legal entity matters. It tells you which regulator authorised the service and which EU markets the authorisation covers. So before signing, check the entity named in the contract against the ESMA register.
Transak publishes its partner terms, making them a useful example. Across providers, four clauses deserve a close look.
Fee changes
Transak can revise its fees at any time, so the markup sits on top of a number the provider controls.
Settlement rights
The provider may delay the first settlement, change the payout schedule, or suspend settlement when disputes are pending or anticipated.
Timing commitments
Transak states that it makes no guarantees on transaction processing times or payout schedules.
Payment asymmetry
After termination, money owed to the partner is due within 30 days, while money owed by the partner is due within 10 business days.
Card chargebacks generally stay with the provider when it acts as the payment processor. The fraud and dispute clauses should make clear what happens when they do not.
Whichever ramp model you choose, the flow does not end at the purchase. The provider sends the crypto to an address you supply, which means your platform still needs to generate deposit addresses, detect incoming payments, and manage the funds after they arrive.
That is the part worth planning for early. A ramp can simplify the purchase experience, but the underlying custody and payment infrastructure still sits with the platform. Fystack provides stablecoin custody and payment infrastructure that runs inside your own environment.
What is an embedded crypto on ramp?
It is a fiat to crypto purchase that runs inside another company’s app. The app supplies the user and the interface, and a licensed provider handles payment, identity checks and delivery of the crypto.
Which companies provide crypto on ramps?
The widely integrated names are MoonPay, Transak, Ramp Network, Banxa and Mercuryo, with Onramper routing across several of them.
How do crypto on ramp providers make money?
They charge a transaction fee and earn on the exchange rate applied to the purchase. Partners embedding the ramp add their own markup, which the provider collects and pays out monthly or quarterly.
How to Choose an Embedded Crypto On Ramp Provider was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
K-pop royalties and concert revenue are becoming the latest real-world assets targeted for tokenization.
Soneium, the Ethereum Layer 2 developed by Sony Block Solutions Labs, has partnered with South Korean entertainment company DayOneDream to bring K-pop intellectual property onto blockchain infrastructure.
The collaboration centers on DayOneDream’s WAVIST platform.
WAVIST is designed to turn specific entertainment cash flows into investable onchain products.
Those can include revenue associated with concerts, content, streaming and other intellectual-property rights.
The structure does not require an artist or production company to sell the underlying IP itself.
Instead, a defined stream of future income can be packaged separately, with issuance and settlement records maintained onchain.
WAVIST has already completed a full lifecycle for a K-pop IP-backed tokenized note, including issuance, distribution, repayment and token burning.
The new Soneium partnership is intended to develop that model further.
DayOneDream manages and operates businesses around artists including BTOB, Lee Chae Yeon, MeMi and 2F, as well as concerts and publishing.
The companies have not announced which artist or asset will be used for the first Soneium-based offering.
They also have not disclosed its size or launch date.
Most real-world asset tokenization has concentrated on Treasury bills, credit, funds and equities.
Entertainment rights are much less standardized.
A concert tour, catalogue or streaming royalty stream can produce real cash flow, but valuing that income is very different from valuing a government bond.
That is part of what makes the Soneium partnership interesting.
DayOneDream brings access to entertainment assets.
WAVIST provides the tokenization structure.
Soneium provides the blockchain environment through which future products can be issued and accessed.
Participation will still depend on investor eligibility and applicable securities rules.
This is therefore not a promise that any fan will soon be able to buy part of a favourite artist’s catalogue with a crypto wallet.
The first offerings still need to be structured.
But the direction is clear.
Tokenization is expanding beyond assets that already look like conventional financial products.
K-pop has enormous global demand and recurring revenue from concerts, streaming, content and licensing.
Soneium and DayOneDream are betting that some of those cash flows can become financial assets in their own right.
This article was written by the News Desk and edited by Samuel Rae.
A token that briefly showed an extraordinary valuation before collapsing exposed a basic problem in crypto: Attention can move faster than…
