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Crypto World

What is proof of reserves? How exchanges prove they hold your crypto

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Capital B secures $1.28M from Adam Back to build Bitcoin stash

After FTX vanished with billions in customer money, “proof of reserves” became the phrase every exchange started using. This guide explains what it really proves, what it quietly leaves out, and how to tell a meaningful attestation from a marketing badge.

Summary

  • Proof of reserves lets crypto exchanges verify on chain holdings against customer liabilities instead of relying only on trust.
  • Merkle trees and zero knowledge proofs help exchanges prove customer balances are included without exposing private account data.
  • Proof of reserves improves transparency but cannot fully confirm off chain obligations or guarantee long term solvency.

Proof of reserves is a cryptographic method an exchange uses to show that it actually holds the crypto assets its customers have deposited, by publishing verifiable evidence of its on-chain holdings and, in the stronger versions, matching them against what it owes. The first sentence of that definition is the part exchanges love to advertise. The second part, the matching against what it owes, is the part that separates a genuine solvency proof from a reassuring graphic, and it is where most of the difficulty lives. 

The idea moved from a niche cryptographic curiosity to an industry standard almost overnight in late 2022, when FTX, one of the largest exchanges in the world, collapsed and revealed an estimated eight-billion-dollar hole between what it claimed to hold and what it actually had. In the panic that followed, every surviving exchange rushed to prove it was not the next FTX, and “proof of reserves” became the phrase they reached for. This guide explains what proof of reserves is, how the cryptography works, what a credible implementation looks like, the serious limitations every user should understand, and how to read an exchange’s attestation without being lulled by a green checkmark.

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The reason this matters is simple and uncomfortable. When you deposit crypto on a centralized exchange, you generally do not hold those coins yourself; the exchange holds them and owes them back to you, exactly as a bank holds your deposit. That arrangement works only if the exchange truly has the assets, keeps them separate from money it gambles or lends, and can return them on demand. FTX proved that an exchange can claim all of this while secretly using customer funds to plug losses elsewhere, and that by the time the truth surfaces, the money is gone. 

Proof of reserves is the industry’s attempt to make that kind of fraud detectable in advance, by replacing “trust us” with “verify it yourself.” Whether it succeeds depends entirely on how it is done, and the gap between the strong and weak versions is the most important thing this guide will teach you.

The problem proof of reserves is trying to solve

To understand proof of reserves, start with what an exchange actually is from a financial standpoint. A centralized exchange custodies assets on behalf of millions of users, pooling them in wallets it controls. Your balance on the screen is not a coin with your name on it; it is an entry in the exchange’s database, a promise that the platform owes you that amount and will pay it when you withdraw. As long as everyone does not ask for their money at once, and as long as the exchange truly holds what it owes, the system runs smoothly.

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The danger appears when an exchange quietly spends, lends, or loses customer assets while still showing full balances on screen. Users see numbers that look real, but the coins behind them are gone, and the shortfall stays hidden until a wave of withdrawals exposes it.

This is precisely the failure FTX embodied. It took customer deposits and funneled them to an affiliated trading firm, which lost them, while customer account balances continued to display as though the money were safe. When users tried to withdraw en masse, the exchange could not pay, and the missing billions came to light only in the collapse. The episode burned a lesson into the industry: an exchange’s own assurances are worthless, because a fraudulent or insolvent platform will keep claiming everything is fine right up until it implodes. 

What users needed was a way to check, independently and cryptographically, that an exchange held the assets it claimed, without having to trust the exchange’s word or wait for an auditor’s annual report. Proof of reserves was the answer the industry converged on, a mechanism designed to make solvency, or its absence, visible to anyone willing to verify, ideally before a platform fails rather than after.

The two halves: assets and liabilities

The single most important concept in proof of reserves is that real solvency requires proving two separate things, and that an exchange holds enough assets is only one of them. The first half is proof of assets: showing that the exchange controls a certain quantity of crypto in its wallets. This is the easier half, because blockchains are public. An exchange can point to its wallet addresses and let anyone see the balances on-chain, or it can cryptographically sign a message from those addresses to prove it controls them. Either way, the assets side is relatively straightforward to show, because the blockchain itself is the evidence.

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The second half is proof of liabilities: showing the total amount the exchange owes to all of its customers combined. This is the hard half, and it is the half that weak implementations skip. Without knowing the total liabilities, proving assets means nothing, because solvency is a comparison. An exchange holding one billion dollars of crypto looks healthy until you learn it owes customers two billion, at which point it is catastrophically insolvent. Proof of assets alone tells you what is in the vault; only proof of liabilities tells you whether what is in the vault is enough. 

A complete proof of reserves therefore pairs the two: it shows that total assets held are greater than or equal to total customer liabilities, which is the actual definition of solvency. When an exchange publishes a glossy page showing its wallet holdings but says nothing rigorous about what it owes, it has proven assets and called it solvency, and that substitution is the most common way the term gets watered down into marketing.

How Merkle-tree proof of reserves works

The clever cryptography in proof of reserves is mostly on the liabilities side, because proving what an exchange owes without exposing every customer’s private balance is the genuinely hard problem. The standard tool is a structure called a Merkle tree. Picture every customer’s balance as a leaf at the bottom of a tree. Each leaf is hashed, meaning run through a one-way cryptographic function that turns it into a fixed string of characters. 

Pairs of hashes are then combined and hashed again, level by level, climbing the tree until everything condenses into a single hash at the very top called the Merkle root. That root is a compact fingerprint of every balance in the system at once, and crucially, changing any single balance anywhere in the tree would change the root entirely.

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The exchange publishes the Merkle root, which represents its total customer liabilities, along with the total asset figure, ideally verified by a third party. Each individual user can then independently confirm that their own balance was included in the calculation. The exchange gives the user the specific branch of hashes connecting their leaf to the root, and the user can recompute the path and check that it produces the published root. If it does, the user has proven their balance was counted in the total, without the exchange ever revealing anyone else’s balance. 

The privacy is the point: the Merkle tree lets the exchange prove a true, complete total of what it owes while keeping each customer’s individual figure hidden from everyone else. If enough users perform this check and find themselves correctly included, the published liability total becomes credible, and it can be compared against the proven assets to assess solvency. The catch, which we will return to, is that this only works well if users actually perform the check and if the asset side is honestly and independently verified.

The zero-knowledge upgrade

The basic Merkle-tree approach has a subtle weakness that more advanced systems have moved to close. To fully trust the liability total, you ideally want assurance that the exchange did not cheat in constructing the tree, for instance by sneaking in fake negative balances to make its total liabilities look smaller than they really are, or by excluding certain accounts. The plain Merkle tree proves your balance is included, but it does not, on its own, prove that every entry in the tree was non-negative and that the math behind the total was honest. A sophisticated exchange could, in principle, manipulate the construction in ways an ordinary user checking a single branch would not catch.

The fix that leading exchanges have adopted is to layer a zero-knowledge proof on top of the Merkle tree, using a cryptographic technique called a zk-SNARK. A zero-knowledge proof lets one party prove a statement is true without revealing the underlying data. Applied to proof of reserves, a zk-SNARK can prove that every user balance in the tree was included, that no balance was negative, and that the total was computed correctly, all without exposing any individual balance or even aggregate patterns. 

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The exchange proves, in effect, “the sum of all real, non-negative customer balances equals this published number, and here is mathematical proof we did not fake it,” and anyone can verify that proof. The founder of Ethereum publicly proposed exactly this kind of zk-SNARK enhancement as the right way to do proof of reserves, and major exchanges now run zk-SNARK systems atop their Merkle trees. This is the current state of the art on the liabilities side: a privacy-preserving, tamper-evident proof that the total owed is honest and complete.

The limitations every user must understand

Even the most sophisticated proof of reserves has serious limitations, and understanding them is what separates an informed user from someone soothed by a checkmark. The first and most damning is the snapshot problem. Proof of reserves captures a single moment in time. An exchange short on assets could borrow funds, perhaps from another exchange or a lender, hold them just long enough to pass the snapshot, prove healthy reserves, and return the borrowed money the next day. The proof would be technically accurate and completely misleading, because the assets were never really there outside the photographed instant. Frequent or continuous proofs reduce this risk but do not eliminate it, and many exchanges publish only periodically.

The second limitation is that proving assets does not prove they are unencumbered. An exchange can genuinely hold the coins it shows while having secretly borrowed them, pledged them as collateral, or owing them to a third party. The blockchain shows the coins sitting in the wallet; it does not show the hidden loan agreement that means those coins are not really free to cover customer withdrawals. The third limitation is the liabilities honesty problem already noted: a proof of assets with no rigorous, independently verified proof of liabilities is not a solvency proof at all, and many advertised implementations stop at assets. 

Fourth, off-chain assets and obligations sit entirely outside the blockchain’s view, so an exchange holding fiat currency, real-world assets, or off-chain debts cannot have those captured by an on-chain proof. The honest summary is that proof of reserves can show an exchange has assets at a moment, but it struggles to prove those assets are sufficient, unencumbered, continuously present, and matched against an honest accounting of everything owed. It is a meaningful check, not a guarantee.

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Why auditors and skeptics both have a point

Because the cryptography alone cannot close every gap, third-party auditors have become central to credible proof of reserves, and their role is both valuable and contested. An independent auditor or specialized verification firm can examine an exchange’s wallets, confirm control of the assets, review the liability construction, and attest that, at the time examined, assets exceeded liabilities by some margin. Several firms now perform this work, publishing reserve ratios for exchanges that show assets comfortably above liabilities, figures above one hundred percent meaning the exchange holds more than it owes. Some exchanges go further, combining independent accountant reviews with user verifiable identifiers so individuals can confirm their own inclusion. This blend of cryptographic proof and human attestation is currently the strongest form of assurance an exchange can offer short of full, traditional financial audits.

Yet skeptics raise a point worth taking seriously, and it is best captured by the prominent executive who refused to publish proof of reserves for his own company’s holdings, calling it a bad idea. His argument was not that hiding assets is good, but that proof of reserves as commonly practiced can mislead: it can create a false sense of security by proving assets while saying little verifiable about liabilities, off-chain obligations, or whether the assets are encumbered, and a sophisticated bad actor can satisfy the letter of a proof while remaining insolvent in substance. The skeptics and the auditors are, in a sense, both right. Proof of reserves done well, with honest liabilities, independent attestation, and frequent snapshots, is a real improvement over the pre-FTX world of pure blind trust. Proof of reserves done poorly, as a one-time assets-only graphic, can be worse than nothing if it lulls users into a confidence the proof does not actually earn. The technique is a tool, and like any tool it can be wielded honestly or as theater.

A cautionary tale that proves the point

The limitations are not hypothetical, and a fresh example shows exactly how a proof-of-reserves regime can fail in practice. In early 2026, an investigation by an on-chain forensics firm revealed that a European exchange’s main Bitcoin holding wallet had collapsed from around fifty-six Bitcoin to a fraction of a single coin, a drop of more than ninety-nine percent, even as the platform continued to assure users it was solvent. 

Tens of thousands of customers were potentially affected, and observers described it as one of the most significant European exchange failures since FTX itself. The episode landed as a direct reminder that an exchange claiming solvency, and even one gesturing at reserves, can be hollow underneath, and that the gap between a public claim and verifiable on-chain reality is exactly where users lose money.

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The lesson is not that proof of reserves is useless; it is that the quality and continuity of verification are everything. Had that exchange’s reserves been continuously proven, independently audited, and matched against honestly constructed liabilities, the draining of its main wallet would have been visible to anyone watching, and users could have withdrawn before the collapse rather than after. Instead, the assurance was a claim rather than a living, verifiable proof, and the on-chain reality diverged catastrophically from the story being told. 

This is the practical case for treating proof of reserves as a process to scrutinize instead of a badge to trust. A meaningful proof is recent, frequent, independently attested, and covers both halves of the solvency equation. A claim of solvency with none of that behind it is precisely the kind of reassurance that history keeps showing to be worthless at the worst possible moment.

Proof of reserves versus a real audit

A point of confusion worth clearing up is the difference between proof of reserves and a traditional financial audit, because exchanges sometimes blur the two and they are not the same thing. A full audit, of the kind applied to a public company, examines far more than whether assets exceed liabilities at a moment. It scrutinizes the quality and ownership of those assets, whether they are encumbered or pledged, the accuracy of the books over a period instead of a snapshot, the internal controls that govern how money moves, the company’s other obligations and debts, and the truthfulness of management’s representations, all signed off by an accountable auditing firm that stakes its reputation and faces legal consequences for getting it wrong. 

Proof of reserves, even in its strongest cryptographic form, does much less: it shows on-chain assets and, ideally, customer liabilities at a point in time, but it does not examine the off-chain business, the encumbrances, the controls, or the conduct of management.

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This gap matters because the marketing around proof of reserves can imply a level of assurance closer to a full audit than the technique actually provides. An exchange can truthfully say it published a proof of reserves while its off-chain finances, its corporate debts, its commingling of funds, or its risky lending remain entirely unexamined. The early scramble after the FTX collapse made this gap vivid: some auditing firms that had begun providing proof-of-reserves attestations stepped back from the work, wary of the reputational risk of appearing to vouch for an exchange’s overall solvency when their procedures covered only a narrow, point-in-time slice. 

The lesson is not that proof of reserves is dishonest, but that it occupies a specific and limited place. It is a cryptographic check on a particular question, do the on-chain assets cover the customer liabilities right now, and it is truly useful for that. It is not a substitute for the comprehensive, ongoing, accountable scrutiny that a real audit provides, and an exchange that has only published a proof of reserves has not been audited in the full sense, however much the language might suggest otherwise.

The practical upshot is to hold two ideas at once. Proof of reserves is a meaningful advance over the pre-FTX world, in which users had nothing but blind faith, and a strong, frequent, independently attested, two-sided proof truly lowers the risk of a hidden insolvency. At the same time, it is a narrow instrument that cannot see the off-chain obligations, the encumbrances, or the management conduct that have featured in many exchange failures. 

The most informed users treat a credible proof of reserves as one positive signal among several, alongside an exchange’s regulatory standing, its track record, its transparency, and the protections of the jurisdiction it operates in, instead of as a complete verdict on safety. Combining the cryptographic check with these other signals, and keeping meaningful holdings in self-custody, is the realistic way to manage exchange risk, because no single proof, however clever, captures everything that can go wrong.

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How to read an exchange’s proof of reserves

Putting it together, here is how to evaluate any exchange’s proof of reserves instead of taking the headline at face value. First, check whether it proves liabilities, not just assets. A page showing only wallet balances is proof of assets, and on its own it tells you nothing about solvency, because you cannot see what the exchange owes. Look for a Merkle-tree liability commitment, ideally strengthened by a zero-knowledge proof, and the ability to verify your own balance’s inclusion. Second, check for independent attestation. 

A reserve ratio confirmed by a reputable third party carries far more weight than a self-published graphic, because it means someone with professional accountability examined the wallets and the liability construction instead of the exchange grading its own homework.

Third, check recency and frequency. A proof from many months ago tells you little about today, and a single annual snapshot is easy to game with borrowed funds; frequent or continuous proofs are far harder to fake. Fourth, keep the structural limitations in mind even when all of the above is present: a proof cannot easily show that assets are unencumbered, cannot capture off-chain obligations, and cannot guarantee the assets stay there after the snapshot. The most important practical takeaway sits above all the cryptography. 

Proof of reserves reduces the trust you must place in an exchange, but it does not eliminate it, and the only way to remove custody risk entirely is to hold your own keys in self-custody, where no exchange stands between you and your coins. For assets you do keep on an exchange, favor platforms with frequent, independently audited, two-sided proofs, treat assets-only graphics with skepticism, and remember the lesson FTX taught at great cost: an exchange will keep telling you everything is fine right up until it is not, so verification, not reassurance, is what protects you.

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Frequently Asked Questions

What is proof of reserves in simple terms?

Proof of reserves is a way for a crypto exchange to show, with verifiable evidence instead of just its word, that it actually holds the assets customers have deposited. In its strong form it proves two things: that the exchange controls a certain amount of crypto in its wallets (proof of assets), and that this amount is greater than or equal to everything it owes customers (proof of liabilities). Together those show solvency. It became an industry standard after the FTX collapse in late 2022 revealed an estimated eight-billion-dollar gap between claimed and actual reserves.

How does proof of reserves actually work?

The asset side is shown using the blockchain itself, since an exchange can reveal its wallet holdings or cryptographically sign messages proving it controls them. The liability side uses a Merkle tree: every customer balance is hashed and combined upward into a single fingerprint called a Merkle root, which represents the total owed. Each user can verify their own balance was included without seeing anyone else’s. Leading exchanges add a zero-knowledge proof (a zk-SNARK) on top to prove no balances were negative or omitted and the total is honest, all without exposing individual figures.

What are the main weaknesses of proof of reserves?

Several. It is a snapshot, so an exchange could borrow assets briefly to pass the check and return them afterward. It does not prove the assets are unencumbered, meaning they could be secretly borrowed or pledged as collateral. Many implementations prove only assets and skip a rigorous, independently verified proof of liabilities, which means they do not actually prove solvency. And it cannot capture off-chain assets or obligations. So proof of reserves is a meaningful check but not a guarantee that an exchange is truly solvent and safe.

Why did some people refuse to publish proof of reserves?

A prominent executive declined to publish proof of reserves for his company’s holdings, arguing it is a bad idea because it can mislead. The concern is that an assets-only proof creates false confidence: it can show coins in a wallet while saying nothing verifiable about liabilities, off-chain debts, or whether the assets are encumbered, and a sophisticated bad actor can satisfy the surface of a proof while remaining insolvent underneath. The point is not that hiding assets is good, but that a weak proof of reserves can be worse than none if it lulls users into unearned trust.

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Does proof of reserves mean my money is safe on an exchange?

Not by itself. A strong, frequent, independently audited, two-sided proof of reserves meaningfully reduces the risk that an exchange is secretly insolvent, which is real protection. But no proof can guarantee the assets stay there after the snapshot, that they are unencumbered, or that off-chain obligations are covered. The only way to remove exchange custody risk entirely is self-custody, holding your own private keys so no platform stands between you and your coins. For assets kept on an exchange, prefer platforms with credible, recent, two-sided proofs, but do not treat any proof as an absolute guarantee.

How can I tell a credible proof of reserves from marketing?

Check four things. Does it prove liabilities, not just assets, with a Merkle-tree commitment and ideally a zero-knowledge proof, plus the ability to verify your own balance? Is it independently attested by a reputable third party instead of self-published? Is it recent and frequent instead of a stale annual snapshot? And does the explanation acknowledge the limitations instead of implying total safety? A two-sided, independently audited, frequently updated proof is credible. An assets-only graphic with no liability proof, no third party, and an old date is closer to a marketing badge than a solvency proof.

This article is educational information, not financial or investment advice. Exchange practices, reserve ratios, and verification methods change, and figures reflect reporting available as of June 25, 2026. Always confirm an exchange’s current proof-of-reserves details from primary sources, and remember that self-custody is the only way to fully remove exchange custody risk.

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OpenAI says AI models escaped containment to hack Hugging Face

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Tracking Real User Activity: Why It Matters More Than Vanity Metrics

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Tracking Real User Activity: Why It Matters More Than Vanity Metrics

In the digital economy, numbers are everywhere. Websites report page views, social media platforms count likes and followers, and blockchain applications showcase wallet addresses and transaction volumes. While these metrics may look impressive, they don’t always reveal the true health of a product or ecosystem. The real indicator of success is real user activity—how actual people interact with a platform over time.

Whether you’re building a decentralized application (dApp), launching a Web3 protocol, or managing a traditional SaaS platform, understanding real user behavior is essential for sustainable growth.

What Is Real User Activity?

Real user activity refers to meaningful interactions performed by genuine users rather than bots, fake accounts, or one-time visitors. These interactions demonstrate actual engagement and value creation.

Examples include:

  • Returning to use an application regularly
  • Completing transactions
  • Providing liquidity
  • Participating in governance
  • Creating content
  • Referring new users
  • Making purchases
  • Using multiple features within the platform

Unlike vanity metrics, real activity reflects authentic adoption.

Why Vanity Metrics Can Be Misleading

Many projects celebrate milestones such as:

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  • One million wallet addresses
  • Hundreds of thousands of followers
  • Millions of transactions
  • High website traffic

While these achievements may attract attention, they don’t necessarily indicate an active community.

For example:

  • Wallets can be created automatically.
  • Followers can become inactive.
  • Transactions can be generated by automated bots.
  • Website visits may last only a few seconds.

Without genuine engagement, these numbers provide limited insight into long-term success.

Key Metrics That Actually Matter

Instead of focusing solely on headline numbers, successful teams monitor indicators that reflect user behavior.

Daily Active Users (DAU)

Measures how many unique users interact with the platform each day.

Monthly Active Users (MAU)

Shows sustained engagement over a longer period.

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Retention Rate

Tracks how many users return after their first visit or transaction.

High retention usually indicates that users find ongoing value.

Session Duration

Longer sessions often suggest users are actively exploring features rather than leaving immediately.

Feature Adoption

Understanding which tools users actually use helps prioritize future development.

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Conversion Rate

Measures how many visitors become active participants, customers, or token holders.

Real User Activity in Web3

Tracking activity becomes more challenging in decentralized ecosystems because users may have multiple wallets and interactions occur across various protocols.

Useful on-chain indicators include:

  • Active wallet addresses
  • Repeat wallet interactions
  • Smart contract usage
  • Liquidity participation
  • NFT trading frequency
  • Governance voting participation
  • Staking duration
  • Cross-chain activity

Combining blockchain analytics with application-level data provides a much clearer picture of adoption.

The Role of Analytics Tools

Modern analytics platforms help developers understand user behavior while respecting privacy.

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Common capabilities include:

  • Event tracking
  • User journey analysis
  • Funnel visualization
  • Cohort analysis
  • Retention reports
  • Heatmaps
  • Performance monitoring
  • Error tracking

In Web3, blockchain analytics platforms add visibility into wallet activity and on-chain interactions.

Why Retention Beats Acquisition

Acquiring new users is expensive.

Keeping existing users is far more valuable.

A platform with 10,000 loyal users who engage weekly often outperforms one with 500,000 one-time visitors.

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Returning users:

  • Generate recurring revenue
  • Provide feedback
  • Build communities
  • Create organic marketing
  • Increase network effects

Retention transforms growth into sustainability.

Privacy Should Never Be Ignored

Tracking users should never come at the expense of personal privacy.

Responsible analytics emphasize:

  • Anonymous identifiers
  • Aggregated insights
  • Consent-based data collection
  • Transparent privacy policies
  • Minimal data storage

Emerging technologies such as zero-knowledge proofs (ZKPs) and privacy-preserving analytics enable platforms to measure engagement without exposing sensitive user information.

This balance is becoming increasingly important as privacy regulations continue to evolve worldwide.

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Turning Data into Better Products

Collecting analytics is only the first step.

The real value comes from acting on the insights.

For example:

  • High abandonment during onboarding may indicate confusing instructions.
  • Low governance participation may suggest voting is too complex.
  • Frequent exits after connecting a wallet could reveal poor user experience.
  • Strong engagement with one feature may justify expanding that functionality.

Data-driven decisions help teams allocate resources more effectively.

The Future of User Activity Tracking

Artificial intelligence is making analytics more intelligent than ever.

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Future platforms will increasingly:

  • Predict user churn before it happens
  • Recommend personalized experiences
  • Detect fraudulent behavior automatically
  • Identify growth opportunities in real time
  • Optimize onboarding using behavioral insights
  • Measure user satisfaction through interaction patterns

For decentralized applications, AI combined with blockchain analytics could create adaptive ecosystems that continuously improve based on genuine community activity.

Conclusion

Real user activity is the foundation of sustainable digital growth. While large numbers may generate excitement, consistent engagement, strong retention, and meaningful interactions reveal whether a platform is truly delivering value.

As Web3 and decentralized technologies continue to mature, projects that prioritize authentic user behavior over vanity metrics will be better positioned to build lasting communities, improve their products, and achieve long-term success. In an increasingly competitive digital landscape, understanding how real people use a platform isn’t just helpful—it’s essential.

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Balaji Network School Expands to Kazakhstan After Malaysia Setback

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Crypto Breaking News

Balaji Srinivasan’s Network School is looking to plant a new campus in Kazakhstan after regulatory pressure in Malaysia forced its Johor operation to halt. The move comes via a memorandum of understanding (MoU) between Kazakhstan’s Ministry of Digital Development, Innovation and Aerospace Industry and Srinivasan, signaling a rapid attempt to preserve the project’s cross-border footprint.

The Kazakhstan agreement positions Network School for a fresh base following actions that disrupted its local operations in Johor. Kazakhstan has been actively courting technology and digital-industry activity, including plans for a Central Asia “crypto city” in Alatau—an environment that Network School appears eager to tap.

Key takeaways

  • Network School signed an MoU in Kazakhstan, potentially creating its first local campus there.
  • Malaysia’s Johor authorities revoked the business license of NSO Malaysia Sdn Bhd, the operator behind Network School’s Forest City-linked presence.
  • Malaysia Digital status is under immediate review, since the operator’s Malaysia Digital recognition is tied to compliance with local and federal laws.
  • Srinivasan says the Kazakhstan campus will focus on talent attraction, including expedited visas and streamlined redomiciliation.

Kazakhstan MoU offers a fallback for Network School’s expansion

According to a ministry statement, Kazakhstan’s Ministry of Digital Development, Innovation and Aerospace Industry signed an MoU with Balaji Srinivasan to establish the first Network School campus in the country. The memorandum was signed by Zhaslan Madiyev on behalf of the ministry and Srinivasan on the Network School side.

For the project, the timing matters. Network School’s Kazakhstan plan appears framed as continuity after setbacks in Malaysia. The article also notes that Kazakhstan has been positioning itself as an emerging technology hub, and references ambitions such as a Central Asia “crypto city” in Alatau—suggesting regulators and policymakers there may be more receptive to experiments that sit near the boundary between technology policy and digital-asset culture.

Srinivasan described the new campus as a place designed to accelerate onboarding for participants. In a post dated Tuesday on X, he said the campus would offer a “haven for global techno-optimism,” including expedited visas, streamlined redomiciliation, and active recruitment of talent.

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Malaysia regulatory action escalates: license revocation and Malaysia Digital review

Network School’s Kazakhstan pivot follows multiple regulatory developments in Malaysia. On Tuesday, the Iskandar Puteri City Council (MBIP) revoked the business license of NSO Malaysia Sdn Bhd, which operates Network School. The revocation was linked to alleged breaches of licensing conditions and premises-use requirements.

The Malaysia Digital Economy Corporation (MDEC), which oversees the “Malaysia Digital” program, then announced immediate steps to revoke the operator’s Malaysia Digital status. Malaysia Digital recognition is granted to eligible technology and digital companies and, as described in the source coverage, can come with incentives such as tax benefits, flexibility around ownership, and the ability to employ local and foreign workers.

Crucially, the program also requires licensees to comply with local and federal laws. With NSO Malaysia’s license revoked, MDEC’s move indicates the regulator is treating the Malaysia Digital designation as contingent on continued lawful operations.

Johor politics and immigration scrutiny widen the dispute

Beyond the licensing issue, the dispute has also pulled in higher-level political attention. The source reports that Onn Hafiz Ghazi, Chief Minister of Johor, urged Malaysia’s federal authorities to continue investigating whether Network School violated immigration laws. He framed Johor as a “strategic entry point” due to the state’s proximity to Singapore, arguing that any weaknesses or misuse of the immigration system should be addressed promptly and firmly.

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This matters for Network School because its model—bringing in global “digital nomads” and hosting a dense community of talent—depends on predictable pathways for visas, residency changes, and compliance. When immigration questions enter the picture, the risk is not only reputational; it can directly affect members’ ability to travel, work, or remain in the country.

The source also indicates that Srinivasan pushed back on reports that Network School was shutting down. On Friday, he denied the closures, saying the project had received two notices: one requiring a sign’s wording to be changed, and another related to a coworking setup created by joining two adjacent units. He said one side of that arrangement had a valid license while the other did not, and claimed the group had a remedial period to address both issues.

According to Srinivasan, members were otherwise unaffected during that remedial window. Cointelegraph reported that it reached out to Srinivasan and Network School for comment, but the article’s account focuses primarily on the regulatory steps already taken by the local council and MDEC.

What changes—and what remains uncertain—if Network School relocates

The Kazakhstan MoU suggests Network School wants to avoid a prolonged pause by securing an alternative operating base quickly. But an agreement is not the same as full operational clearance. Readers should view the MoU as a framework for collaboration and campus establishment, while awaiting more detailed information on licensing, immigration logistics, and the practical timeline for opening.

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Still, the contrast between Malaysia and Kazakhstan is instructive. In Malaysia, the dispute moved from licensing conditions to a broader discussion involving Malaysia Digital compliance and immigration law scrutiny. In Kazakhstan, the present reporting centers on cooperation and talent-attraction features—expedited visas and streamlined redomiciliation—language that typically signals a focus on easing administrative friction.

For investors, builders, and community operators watching the “network state” concept, the underlying takeaway may be how regulatory pressure in one jurisdiction can accelerate relocation tactics. A community anchored in one place can gain momentum, but it is also exposed: local licensing, premises rules, and immigration enforcement can rapidly reshape operating reality. Network School’s next steps in Kazakhstan will therefore function as a real-world test of whether the administrative environment for techno-nomad hubs can be replicated across borders.

As the Kazakhstan campus planning progresses, the most important thing to watch is how the MoU translates into concrete permits and member onboarding on the ground—particularly on visas and local compliance. Until then, Network School’s situation remains a moving target shaped by how regulators interpret licensing, premises usage, and immigration obligations in each country.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Kospi Jumps 5% as Asian Chipmakers Rebound From AI Selloff

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The Kospi has managed to stop the fall in its price seen over the last few days.

South Korea’s Kospi surged over 5% to a high of 7,164 on Wednesday’s early trading, extending its rebound from an artificial intelligence stock selloff. Asian chipmakers led the gains for a second straight session.

Japan’s Nikkei 225 added near 2% to 67,524.22, also in early trading. The rally builds on Tuesday’s rebound across Asian markets.

Samsung, SK Hynix Lead the Recovery

The gains extend July 21’s rebound, when the Kospi jumped 3.6% and the Nikkei rose 3% after a number of days trending downwards. Chipmakers are looking to pull the Kospi back from a bear market slide that AI valuation fears caused earlier this month.

Samsung Electronics surged reversed its downward trend on Tuesday while SK Hynix, the memory chipmaker, gained also started gaining, recovering from its sharp sidecar plunge earlier this month.

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The Kospi has managed to stop the fall in its price seen over the last few days.
The Kospi has managed to stop the fall in its price seen over the last few days. Image Source: Trading View

The Kospi is still down more than 20% over the past month, even after gaining over 50% year-to-date. Investors had locked in profits on AI bubble concerns.

Wall Street Also Jumps at Semiconductors

Wall Street added its own momentum on Tuesday. The Nasdaq 100 posted its best session in three weeks, and a key semiconductor gauge jumped 5.2%, according to Bloomberg.

Analysts remain split on whether the bounce will last.

“The recent correction appears more consistent with a healthy reset following a parabolic advance than a fundamental breakdown in the AI investment theme.”
Adam Turnquist, LPL Financial

Nearly 20% of S&P 500 companies by market value report earnings this week. Alphabet and Tesla release results Wednesday. Those results will test whether the chip rally can hold.

The post Kospi Jumps 5% as Asian Chipmakers Rebound From AI Selloff appeared first on BeInCrypto.

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S&P Dow Jones New Crypto Index Snubs Bitcoin, Not a Revenue-Generating Protocol

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NY Judge Halts Lawsuit Claiming 39,069 Dormant Bitcoin Wallets Until July Hearing

S&P Dow Jones Indices and Pantera Capital have launched the S&P Pantera Digital Asset Index, a new crypto benchmark that excludes Bitcoin (BTC) entirely.

CEO Cathy Clay said Bitcoin fails the index’s core test, generating real protocol revenue instead of trading purely on speculation.

How the Index Weighs Its Tokens

The index holds 18 constituents. Its five largest holdings are Ether (ETH), Binance Coin (BNB), Solana (SOL), Tron (TRX), and Hyperliquid (HYPE), a decentralized derivatives exchange.

The benchmark weights holdings by market capitalization and rebalances quarterly. No single token can exceed 35% of the total, and no other holding can top 20%. These caps mirror rules S&P applies to its own equity benchmarks.

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Clay wants to bring stock-index discipline into digital assets. She favors protocols with verifiable economic activity over ones that trade on name recognition alone.

Pantera co-developed the methodology with founder Dan Morehead. The firm has managed over $3 billion across three investment strategies since launching its first crypto fund in 2013.

“S&P Dow Jones Indices helps investors cut through market noise with benchmarks you can trust.”
Clay, CEO of S&P Dow Jones Indices

Wall Street Warms to Altcoin Season

The exclusion highlights a widening split in how institutions define crypto value. By this measure, revenue beats Bitcoin’s dominant narrative as the market’s largest asset. Pantera’s history with institutional crypto access suggests more revenue-screened benchmarks could follow.

The launch lands as retail altcoin season signals stay unconfirmed but improving. CoinGlass’s Altcoin Season Index climbed to 58 in mid-July, building on a June 4 spike to 64. That reading sits above the neutral midpoint, but it remains short of the 75 threshold that confirms genuine rotation.

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Institutional flows tell a parallel story. A March BeInCrypto Expert Council discussion found major allocators narrowing institutional crypto bets to Bitcoin, Ethereum, and a short list of DeFi names.

A revenue-screened benchmark like the S&P Pantera Digital Asset Index offers portfolio managers a compliant route into that same thesis. It provides exposure to large-cap altcoins with real usage, skipping meme coins and speculative networks entirely.

If other index providers copy the approach, institutional capital could rotate into select altcoins early. That could happen well before retail-driven altcoin season data confirms a broader move.

The post S&P Dow Jones New Crypto Index Snubs Bitcoin, Not a Revenue-Generating Protocol appeared first on BeInCrypto.

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Bitcoin Trader Sees Up To 6% Gains ‘Very Quickly’ If $68,000 Is Hit

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Bitcoin Trader Sees Up To 6% Gains ‘Very Quickly’ If $68,000 Is Hit

Bitcoin (BTC) passed one-month highs on Tuesday as price action defied the odds to top $66,000.

Key points:

  • Bitcoin broke through resistance to hit $66,000 for the first time in more than a month.
  • Traders see as much as 6% BTC price gains if further nearby upside targets are reached.
  • Month-end derivatives positioning underscores crypto risk confidence slowly returning.

BTC price 6% upside could come “very quickly”: Trader

BTC/USD hit highs of $66,306 on Bitstamp, according to TradingView data. That’s a level last seen on June 17.

BTC/USD one-hour chart. Source: Cointelegraph/TradingView

A series of rejections around the $65,000 mark had failed to quash traders’ enthusiasm, with calls for $67,000 or higher gaining momentum. Those short-term predictions continued on the day, with key psychological levels around $70,000 now on the horizon.

“$BTC reclaimed the range lows, and is now pushing higher – as expected,” trader Jelle wrote in his latest analysis on X.

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“The area between 65 and 67k is resistance from the Q1 range, but given how we sliced through it on the way down – it might not put much of a fight up here either. Eyes on those 70k range highs if so.”

BTC/USD one-day chart. Source: Jelle/X

Short liquidations began to mount as the BTC price broke through range highs, with data from CoinGlass putting 24-hour cross-crypto liquidations at around $200 million.

BTC/USD vs. crypto liquidations (screenshot). Source: CoinGlass

“$BTC has reclaimed the $65,000 level. The next key resistance is $67,500-$68,000, which means Bitcoin has some room to pump,” trader Ted Pillows said

“If BTC manages to reclaim the $68,000 resistance too, it could rally another 5%-6% very quickly.”

BTC/USDT one-day chart. Source: Ted Pillows/X

Concerns had accompanied the start of the latest move, with commentator Exitpump seeing closing short positions fueling the upside.

“There’s very little real buying interest here,” they warned X followers while analyzing derivatives markets.

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BTC derivatives hint at risk-on return

Observing options trends, trading company and market maker QCP Capital flagged “some demand” for higher Bitcoin bets into the end of July.

Related: Trader maintains $67K BTC price target: Five things to know in Bitcoin this week

Here, it noted the US Federal Reserve would hold its next meeting on interest-rate changes, with chair Kevin Warsh potentially offering fresh insight into future policy.

As Cointelegraph reported, market expectations remain that the Fed will leave rates unaltered before September. CME Group’s FedWatch Tool shows 83.4% probability that policy makers will stick with the current target range of 3.50-3.75% at their July 29 meeting. For the Sept. 16 FOMC meeting, there’s a 53.8% probability of a hike to 3.75-4.00%.

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“There has been some demand for month-end BTC upside,” Monday’s QCP Market Colour analysis said. 

“This positioning leaves dealers short upside gamma into the 28 to 29 July FOMC meeting, increasing the potential for an accelerated move higher should tensions around the Strait of Hormuz ease.”

QCP referred to the US-Iran war once again closing a key global oil route.

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