Not the channels. The channels are the easy part. It’s who owns distribution, what counts as proof, and what happens to your funnel when the “customer” can see your treasury wallet.

A few months back I sat in on a call between a growth marketer and a founder who’d just brought her on to run acquisition for a token launch. She’d spent six years running paid search for SaaS companies and could recite CAC math in her sleep. About twenty minutes in, she stopped mid-sentence and asked, “wait, you don’t have a landing page with a signup form?” The founder laughed.

His entire acquisition plan ran through a Discord server, forty KOLs on X, and a Telegram group that had grown to 30,000 people without a single dollar of paid media.

Neither of them was doing it wrong. They were describing two different sports that happen to use the same ball. That’s the honest answer to “what’s really different” between Web3 marketing and traditional marketing it isn’t the tools, it’s the physics underneath them. Once you see where the physics actually diverges, the channel questions (should we be on Discord, should we still run Meta ads) answer themselves.

A few months back I sat in on a call between a growth marketer and a founder who’d just brought her on to run acquisition for a token launch. She’d spent six years running paid search for SaaS companies and could recite CAC math in her sleep. About twenty minutes in, she stopped mid-sentence and asked, “wait, you don’t have a landing page with a signup form?” The founder laughed. His entire acquisition plan ran through a Discord server, forty KOLs on X, and a Telegram group that had grown to 30,000 people without a single dollar of paid media.

Neither of them was doing it wrong. They were describing two different sports that happen to use the same ball. That’s the honest answer to “what’s really different” between Web3 marketing and traditional marketing it isn’t the tools, it’s the physics underneath them. Once you see where the physics actually diverges, the channel questions (should we be on Discord, should we still run Meta ads) answer themselves.

The four places the playbooks actually split

Not “which app do you post on” the underlying mechanics

Traditional marketing assumes a few things that quietly stop being true in Web3. It assumes the brand owns its distribution (an email list, a follower count, an ad account). It assumes the product mostly works and the job is persuasion, not proof. It assumes conversion happens on a page you control. And it assumes measurement lives inside a walled garden a pixel, a CRM, a dashboard only you can see.

Traditional marketing runs on

• Owned channels: email list, ad account, CRM
• Persuasion-first messaging the product mostly speaks for itself once trust is built
• A single conversion event on a page you control
• Closed-garden analytics: pixels, UTM tags, CRM attribution

Web3 marketing runs on

• Borrowed / community-owned channels: Discord, X, Telegram — the community is the distribution layer
• Proof-first messaging -audits, treasury data, and on-chain traction have to come before persuasion
• Conversion is a wallet action: a swap, a mint, a stake, a claim
• Public, verifiable on-chain attribution anyone can check the ledger, including your competitors

That last point is easy to underestimate. In traditional marketing, your funnel data is private. In Web3, a decent chunk of it is sitting on a public blockchain that anyone with a Dune Analytics dashboard or a Nansen wallet-labeling subscription can inspect. That changes what “trust me” means. You’re not asking someone to believe your case study you’re inviting them to go check the transaction themselves.

The old playbook pushed announcements, influencer posts, and airdrops. The new one has to link every campaign back to something a stranger can independently verify.

Funnel vs. flywheel

The shape of the customer journey isn’t the same shape

Traditional marketing thinks in funnels wide at the top, narrow at the bottom, and every stage designed to filter people out until only paying customers remain. Web3 growth behaves more like a loop. A community member becomes a holder, a holder becomes a contributor, a contributor becomes the next campaign’s distribution channel, and the loop feeds itself again. Paid media can kick-start a loop, but it can’t replace the incentive structure that keeps it spinning that’s usually token design, governance rights, or plain social status inside the community.

What it actually costs to acquire someone

This is where the difference stops being theoretical. Digital customer acquisition cost in traditional industries has been climbing hard up 40–60% between 2023 and 2025 by most estimates, and one widely cited analysis puts the eight-year increase at 222%.

Financial services brands are paying close to $784 per customer through paid digital channels; B2B SaaS with a sales-led motion averages around $11,400 a customer, against roughly $702 for self-serve. Even a straightforward LinkedIn ad campaign is averaging near $982 per acquisition, compared with about $150 for a referral.

Web3 acquisition, when it’s routed through community and creator channels instead of paid impressions, tends to land somewhere else entirely. One 2026 study of token promotion campaigns found Instagram Reels-style creator content converting at roughly $6.14 per acquisition against $22.80 for a comparable banner ad.

That tracks with the broader creator-economy pattern: traditional digital ads are averaging about $72.40 per acquisition industry-wide, versus roughly $53.20 through influencer and creator partnerships, with micro-influencer campaigns coming in around 6.7 times cheaper than celebrity-led ones.

The translation ledger

Same marketing job, different name on each side of the chain

Most of what looks foreign about Web3 marketing is actually a familiar concept wearing a new name. It helps to just line the two up.

Where they’re actually the same

Don’t throw out everything you learned in traditional marketing

It’s tempting to treat Web3 as a different discipline requiring a whole new skill set. Mostly it doesn’t. Good segmentation is still good segmentation. Search and answer-engine optimization still decide whether anyone finds you before a competitor does. Clear positioning saying exactly who this is for and why it’s better than the obvious alternative still separates projects that scale from ones that stall. What changes is the proof standard and the speed: Web3 audiences expect the receipts in public, and they expect them fast, because the whole point of the ledger is that nobody has to take your word for it.

The teams doing this well in 2026 aren’t abandoning fundamentals, they’re front-loading them. Utility-first messaging — leading with real use cases and verifiable on-chain results instead of speculation is becoming the baseline expectation rather than a differentiator, as the on-chain real-world-asset market alone grew from roughly $5.5 billion to $18.6 billion over the course of 2025.

Final Thoughts

Most brands aren’t choosing one world or the other they’re translating a traditional growth strategy into something that works inside a Discord server, a KOL network, and an on-chain audience at the same time. That’s the specific overlap Inoru’s KOL marketing team works in daily, pairing structured content and SEO/GEO strategy with the community and creator relationships that actually move Web3 audiences.

Web3 Marketing vs. Traditional Marketing: What’s Really Different? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Discover why a strong information strategy is becoming essential for crypto traders and how AI-powered market intelligence helps turn overwhelming data into smarter, faster trading decisions.

The cryptocurrency market has never offered traders more data than it does today. Every second brings new price updates, on-chain transactions, social media discussions, macroeconomic news, exchange announcements, and technical indicators.

Ironically, having access to more information hasn’t necessarily made trading easier.

Many traders spend hours jumping between X, Telegram, Discord, TradingView, CoinMarketCap, and countless news platforms, hoping they won’t miss the next big move. Yet despite consuming more content than ever, they often make decisions with less confidence.

The problem isn’t a lack of information.

It’s the absence of a clear information strategy.

In an increasingly competitive market, traders who organize and prioritize information are gaining an advantage over those trying to process everything at once.

Information Overload Is Becoming a Trading Risk

One of the biggest misconceptions in crypto trading is believing that more information automatically leads to better decisions.

In reality, too much information often creates:

• Analysis paralysis
• Conflicting opinions
• Emotional decision-making
• Missed opportunities
• Delayed execution

One influencer predicts a breakout.

Another expects a crash.

Technical indicators point upward while macroeconomic headlines suggest caution.

Without a structured way to filter information, traders can easily become overwhelmed before placing a single trade.

Every Piece of Data Doesn’t Deserve Equal Attention

Successful traders don’t attempt to monitor everything.

Instead, they identify which information consistently influences the market.

High-value data often includes:

Market Structure

Understanding trends, support levels, resistance zones, and liquidity helps traders interpret price action rather than simply reacting to it.

On-Chain Activity

Large wallet movements, exchange inflows, token accumulation, and network activity frequently provide early clues about changing market conditions.

Market Sentiment

Crypto is one of the few financial markets where public sentiment can influence prices almost instantly.

Monitoring discussions across social platforms often provides valuable context before major price movements occur.

Breaking Events

Exchange listings, partnerships, regulatory announcements, security incidents, and economic news can reshape market direction within minutes.

An effective information strategy focuses on the signals that matter most while filtering out unnecessary noise.

Why Speed Alone Isn’t Enough

Many traders believe receiving alerts first guarantees success.

It doesn’t.

Receiving information quickly only creates an advantage if that information is meaningful.

For example, hundreds of price alerts may arrive throughout the day.

Only a handful actually indicate meaningful changes in market conditions.

The goal isn’t simply faster notifications.

It’s receiving relevant insights supported by data and context.

Build a Repeatable Information System

Professional traders rarely depend on random news feeds or viral posts.

Instead, they develop systems that consistently answer key questions:

• What is happening?
• Why is it happening?
• Does it affect my trading plan?
• What level of risk does it introduce?
• Should I act now or wait?

Following the same decision-making process every day reduces emotional trading and improves long-term consistency.

Artificial Intelligence Is Changing Information Management

The amount of market data generated every day has grown beyond what most individuals can process manually.

Artificial intelligence helps solve this challenge by identifying patterns across multiple sources simultaneously.

Modern AI systems can evaluate:

• Technical indicators
• Market momentum
• On-chain activity
• Sentiment changes
• News developments
• Liquidity shifts
• Cross-market relationships

Rather than forcing traders to monitor dozens of platforms, AI can surface the information that deserves immediate attention.

The result is not less information but better organized intelligence.

Better Decisions Start With Better Context

Imagine receiving the following notification:

“Ethereum price increased by 4%.”

Useful?

Somewhat.

Now compare it with this:

“Ethereum is up 4%, trading volume has doubled, exchange outflows are increasing, and market sentiment has shifted positive following institutional accumulation.”

The second message provides context.

Context allows traders to understand whether a move may have momentum behind it or whether it’s simply short-term volatility.

This is why context has become just as valuable as speed.

The Future Belongs to Intelligence, Not Information

The next generation of crypto trading platforms won’t compete by offering more charts or more indicators.

Instead, they’ll compete by helping traders make sense of increasingly complex markets.

We’re already seeing a shift toward platforms that combine AI, blockchain analytics, market sentiment, and live market monitoring into a unified experience.

The objective isn’t to replace trader judgment.

It’s to help traders spend less time searching for information and more time making informed decisions.

From Information Streams to Intelligent Workflows

As the crypto ecosystem becomes more complex, traders need tools that simplify decision-making instead of adding to the noise. That philosophy has shaped the development of i5.xyz throughout its testnet journey.

Rather than functioning as another dashboard filled with endless metrics, i5 has been built to organize market information into clear, actionable insights. By bringing together AI-powered analysis, real-time market activity, and evolving trading narratives, the platform aims to help users understand what matters now instead of forcing them to sift through countless sources.

With the live platform launch approaching in the next week, i5.xyz is entering a new stage focused on delivering faster, smarter, and more practical market intelligence for everyday crypto traders. The goal isn’t simply to provide data it’s to create a workflow where meaningful insights reach traders when they can still make a difference.

Final Thoughts

Every crypto trader develops a trading strategy, but far fewer develop an information strategy.

In today’s markets, the ability to filter, prioritize, and understand information is becoming just as important as technical analysis itself.

As artificial intelligence continues transforming financial markets, traders who rely on organized, contextual, and real-time intelligence will be better positioned to adapt to changing conditions and identify opportunities before they become obvious.

The future of successful trading won’t belong to those with the most information. It will belong to those who know which information truly matters.

Every Crypto Trader Needs a Better Information Strategy was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

For almost twenty years, social media has trained us to believe that content is the product.

Every platform, from Facebook to Instagram, from TikTok to X, has competed for our ability to create, consume, and distribute content more efficiently than the platform before it. Entire creator economies have emerged from that model, allowing millions of people to transform attention into income through advertising, sponsorships, subscriptions, affiliate marketing, and brand partnerships.

It has become such an accepted part of the internet that very few people stop to question whether content was ever the real product in the first place.

Over the past few months, I have found myself asking a different question altogether.

What if the most valuable thing we produce online has never been our content?

What if it has always been our reputation?

The more I looked at the evolution of SocialFi, the more difficult it became to ignore that possibility.

One of the easiest mistakes to make when analyzing SocialFi is to assume it is simply another version of the creator economy running on blockchain infrastructure.

That explanation is convenient because it immediately makes the concept understandable. Instead of YouTube advertising revenue, creators receive token rewards. Instead of centralized social graphs, users own portable identities. Instead of platforms extracting most of the economic value, communities participate directly in value creation.

While all of those observations are broadly true, they also obscure something much more interesting.

The innovation is not that creators can monetize content.

Creators have been doing that for years.

The innovation is that markets can increasingly assign financial value to reputation itself.

That sounds like a subtle distinction until you think about how the internet currently works.

Imagine two software engineers publishing equally insightful technical articles over the course of a year.

One has spent a decade consistently contributing to open-source projects, mentoring younger developers, speaking at conferences, and building trust across multiple communities. The other appeared six months ago with equally impressive technical knowledge but very little established reputation.

Traditional social platforms struggle to distinguish between those two forms of value beyond engagement metrics such as followers, likes, and shares.

SocialFi introduces a different possibility.

What if reputation itself becomes an asset that accumulates over time, carries across applications, influences access to opportunities, and ultimately participates in economic markets?

Suddenly, the conversation is no longer about content.

It becomes about credibility.

This is one of the reasons I think many observers misunderstood Friend.tech.

When the platform exploded in popularity, much of the discussion focused on speculation. Critics argued that people were simply trading access to personalities, while supporters described it as an entirely new creator economy. Both perspectives captured part of the story, but neither fully explained why the idea attracted so much attention in the first place.

Friend.tech demonstrated something surprisingly profound.

People were willing to place financial value on social relationships, perceived expertise, and future influence, even if the underlying mechanism proved unsustainable over the long term. The subsequent decline in platform activity revealed equally important lessons about retention and product design, yet it did not invalidate the broader insight that markets are increasingly capable of assigning economic value to social reputation itself.

History is full of products that failed while introducing ideas that eventually reshaped entire industries.

The first implementation is rarely the final implementation.

Another trend deserves considerably more attention than it currently receives.

Some of the strongest momentum within Web3 social networks has shifted away from isolated applications and toward portable identity layers, decentralized social graphs, and ecosystems where users can move their audiences across multiple interfaces without rebuilding their communities from scratch. Protocols such as Farcaster and Lens are increasingly competing around ownership of the social graph rather than ownership of a single application, reflecting a structural change in how online identity may evolve.

That may sound like an architectural detail.

I think it changes the economics of the internet.

If reputation becomes portable rather than platform-specific, creators stop rebuilding their influence every time a new application emerges.

Instead, applications begin competing for creators.

That is almost the exact opposite of how Web2 social media evolved. At this point, someone usually asks whether people actually care about owning their social graph.

It is a fair question because history suggests that convenience almost always wins.

1. Most users never asked for cloud computing.
2. Most users never requested content delivery networks.
3. Most users never demanded streaming protocols.

They simply adopted products that produced better experiences.

Ownership rarely becomes the selling point.

Better outcomes do.

The same principle may apply to SocialFi.

Users may never consciously decide they want decentralized identity.

They may simply choose platforms where years of reputation, relationships, and contributions are no longer trapped behind the walls of a single company.

The data increasingly points in that direction.

Independent market research projects the Web3 social networking sector to grow substantially over the coming decade, driven by creator monetization, user-owned identities, and the maturation of blockchain infrastructure. At the same time, several analyses suggest that decentralized social protocols are shifting from isolated communities toward interoperable ecosystems where identity and reputation become reusable assets rather than platform-specific features.

Notice what appears repeatedly across those reports.

The discussion is becoming less about social media.

It is becoming more about identity infrastructure.

Those are very different markets.

There is another consequence that I find even more fascinating.

Artificial intelligence is making content dramatically cheaper to produce.

Images can be generated in seconds.

Articles can be drafted within minutes.

Videos can be synthesized almost instantly.

When the supply of content increases exponentially, the scarcity shifts somewhere else.

Scarcity moves toward trust.

It moves toward authenticity.

It moves toward reputation.

In a world where almost anyone can create convincing content with increasingly capable AI systems, knowing who deserves attention becomes far more valuable than the content itself.

That is precisely where SocialFi begins to look less like a creator economy and more like a reputation economy.

Perhaps that is why I think the industry is asking the wrong question.

Most people ask whether SocialFi will replace Instagram, TikTok, or X.

I suspect that is far too narrow.

The more interesting question is whether SocialFi eventually becomes the reputation layer for the entire internet.

Because if every meaningful contribution, professional interaction, community endorsement, educational achievement, and creator relationship gradually accumulates within an open, portable, and economically meaningful identity, then SocialFi stops being another social network.

It becomes infrastructure.

And history has consistently shown that infrastructure businesses often create more enduring value than the applications built on top of them.

The next chapter of the internet may therefore have surprisingly little to do with content itself.

It may have everything to do with finally giving reputation a balance sheet.

The Biggest Opportunity in SocialFi Isn’t Content. It’s Reputation. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Web3 is much more than cryptocurrency trading. It represents a new digital economy built around ownership, creativity, and community.

Blockchain games, virtual worlds, digital collectibles, decentralized applications and tokenized assets are changing how people create, collaborate and do business online. Unlike Web2, where platforms control most of the infrastructure and value, Web3 allows users to own digital assets and participate directly in the economies they help build.

However, this industry cannot reach its full potential in the United States without clear and predictable regulations

Uncertainty Hurts Innovation

Web3 creators and entrepreneurs continue to face difficult questions. Is a token a security, a digital commodity, a collectible, or a utility? Should an independent developer be regulated like a financial institution? Are digital items used inside games treated the same way as investment products?

Large corporations can afford teams of lawyers to address these questions. Independent developers, artists, gaming studios, and community founders often cannot.

This uncertainty discourages innovation, limits investment and may push American projects to establish themselves in countries with clearer regulations.

What the CLARITY Act Could Do

The Digital Asset Market Clarity Act seeks to define the responsibilities of the Securities and Exchange Commission and the Commodity Futures Trading Commission.

It would help determine when digital assets fall under securities laws and when they should be treated as digital commodities. It would also establish requirements for exchanges, brokers and other businesses operating in digital-asset markets.

Clear regulation does not mean allowing Web3 to operate without supervision. Platforms that control customer funds must be accountable. Consumers deserve transparency, protection from fraud and accurate information about the assets they purchase.

At the same time, the law must recognize that not every Web3 participant is a financial institution. An open-source developer, digital artist or blockchain-game creator should not automatically face the same requirements as a centralized exchange managing billions of dollars.

Communities Are the Heart of Web3

Web3’s real strength comes from its communities.

Across blockchain games and virtual worlds, people build businesses, organize events, create digital assets and develop shared economies. These communities demonstrate that digital ownership can produce more than speculation — it can create identity, collaboration and opportunity.

Community leaders also need understandable rules. When they manage marketplaces, treasuries or digital assets, they should know their responsibilities before investing time and money into their projects.

America Must Act

Web3 talent and capital can move anywhere. Without regulatory certainty, the United States risks losing developers, jobs and investment to other jurisdictions.

The CLARITY Act will not solve every challenge facing blockchain and decentralized technology. It must still balance innovation, consumer protection and accountability. Congress should strengthen the legislation where necessary and ensure that decentralization does not become a loophole for bad actors.

But continuing without a clear federal framework is not the answer.

Web3 builders are already creating digital worlds, businesses and new forms of ownership. They should not have to build the future while guessing how old regulations will be applied to new technology.

America does not need to choose between innovation and protection. It needs clear rules that allow both to advance together.

Web3 is building the next digital economy. It is time for America’s laws to help build it responsibly. Build your dreams. Build with clarity.

Web3 Needs Clarity: Why the CLARITY Act Matters for America’s Digital Future was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

The next generation of exchanges will not win by chasing volume. They will win by rebuilding confidence.

For years, the crypto exchange industry has been measured by one simple metric:

Trading volume.

The bigger the volume, the stronger the exchange.

More users.

More liquidity.

More market share.

But the crypto market has changed.

Today, users are asking a different question:

“Can I trust this platform with my assets?”

This shift may become the most important change in the future of crypto trading.

The Era of “Growth at Any Cost” Is Ending

During the previous crypto cycles, many exchanges focused heavily on rapid expansion.

They competed through:

• Aggressive marketing campaigns
• Token incentives
• Trading competitions
• High leverage products
• Global user acquisition

Growth was the priority.

But the industry also learned some painful lessons.

When trust disappears, years of growth can disappear overnight.

Users no longer evaluate exchanges only by:

“How many trading pairs do you have?”

or

“How high is your daily volume?”

They ask:

• How are customer assets protected?
• Is the platform transparent?
• Can withdrawals work during extreme market conditions?
• Does the company have sustainable operations?

The definition of a successful exchange is changing.

Liquidity Is Important, But Trust Comes First

Liquidity has always been the foundation of trading platforms.

A market without liquidity cannot function.

However, liquidity alone cannot create long-term loyalty.

Imagine two exchanges:

Exchange A offers thousands of trading pairs and massive promotions.

Exchange B provides fewer products but focuses on transparency, security, and reliable execution.

For professional traders and institutions, the second option may become more attractive.

Because capital follows confidence.

The Future Exchange Will Look More Like a Financial Institution

Traditional financial institutions spent decades building trust.

Banks developed:

• Compliance systems
• Risk management frameworks
• Customer protection mechanisms
• Operational standards

Crypto exchanges are now moving toward a similar direction.

The future winners will likely be platforms that combine:

1. Strong Technology

Fast execution.

Reliable infrastructure.

Scalable architecture.

2. Security-First Operations

Asset protection.

Risk monitoring.

Advanced security mechanisms.

3. Regulatory Awareness

Clear operational standards.

Transparent processes.

Long-term commitment.

Technology creates possibility.

Trust creates adoption.

The Biggest Opportunity: Making Crypto Feel Normal

The next wave of crypto users will not necessarily be crypto experts.

They will be:

• Investors
• Businesses
• Institutions
• Everyday consumers

They don’t want complicated systems.

They want financial products that simply work.

The future of crypto is not about making users understand blockchain.

It is about creating experiences where blockchain works quietly in the background.

Just like people use online banking without understanding banking infrastructure.

AI Will Change How Users Interact With Exchanges

Another major transformation is coming from artificial intelligence.

Today, users still need to manually:

• Analyze markets
• Set trading parameters
• Understand indicators
• Manage risk

But AI-powered financial platforms may change this experience.

Imagine a user saying:

“Help me create a balanced crypto portfolio based on my risk preference.”

or:

“Execute this strategy while controlling my downside risk.”

The exchange of the future may become less like a trading terminal and more like a personal financial assistant.

The Next Competition Will Be About User Confidence

The crypto industry has spent years proving that decentralized technology works.

The next challenge is proving that users can confidently use it.

The winners of the next decade will not only be companies that build powerful platforms.

They will be companies that understand one simple truth:

In finance, trust is the ultimate technology.

Final Thoughts

Crypto exchanges are entering a new chapter.

The first generation competed for attention.

The next generation will compete for confidence.

The future belongs to platforms that can combine:

• Technology
• Security
• Compliance
• User experience
• Transparency

Because the biggest asset in financial markets has never been volume.

It has always been trust.

At SoonTech, we believe the future of digital finance will be built around secure, scalable, and user-focused technology that helps businesses create the next generation of Web3 financial platforms.

🌐 https://www.soontech.info

#SoonTech #Crypto #Web3 #Blockchain #FinTech #DigitalFinance #CryptoExchange

The Future of Crypto Exchanges Will Be Built on Trust, Not Just Technology was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Confidential decentralized finance (DeFi) has always been one of the best use cases for Oasis’s privacy stack. The industry’s first and only production-ready confidential EVM, Sapphire, was, however, only half the solution for trustless applications to ensure user data is sovereign and secured by default.

On-chain runtime can only take you so far, especially when processing huge datasets or sensitive information is concerned. Oasis has crossed that hurdle now with runtime off-chain logic ROFL in production. This framework runs off-chain compute inside a Trusted Execution Environment (TEE) before handing over the result to Sapphire for on-chain storage and finalization.

As Sapphire and ROFL enable verifiable privacy at scale, thereby counteracting the trust bottleneck, several projects have aligned themselves with Oasis to integrate this privacy layer for their products. Here, I will outline two examples that offer a glimpse into the future where confidential DeFi unfolds as verifiable private DeFi of tomorrow, uplifting user experience.

Robin Markets & verifiable yield with trustless oracle

Prediction markets are an interesting spin-off of the DeFi space, and Polymarket is undeniably one of the biggest players. Here, users can bet on real-world scenarios and outcomes, from elections to sports to just anything that involves Yes/No decisions. They can buy YES or NO tokens that are essentially tokenised positions in the market. The potentially lucrative returns attract not only crypto-native but also mainstream users, and at any given time, hundreds of millions in positions are open.

Funds locked with idle positions

The prediction market sounds fun and simple to engage with but has an inherent problem. When a user buys those YES or NO tokens, the time taken to resolve the position may range from a few hours to a few days to a few months. And until resolution, the funds are locked in the position, sitting idle, and with zero benefit to the asset owner.

Robin Markets proposes to solve this inefficient situation.

Users can trade and stake the YES or NO tokens, and earn passive income. It works like this.

• Robin Markets pairs the YES and NO tokens
• Then finds a YES staker and a NO staker on the same market
• Next pulls the underlying USDC collateral from Polymarket
• Finally routes it into viable DeFi yield strategies

With this scenario, both the YES and NO stakers stay in the market with their open positions untouched, while the collateral helps earn them APY.

Yield distribution mechanism

Users earning from idle positions is good news, but the yield distribution scenario is challenging. At the resolution point, one position wins, and the other loses. But the yield accumulated during the lifecycle of the positions is not equivalent for the opposing parties, representing variable risks.

It is improbable that the YES and NO stakers split the risk and the position 50:50, so the yield payout also cannot be an even distribution. Splitting the yield at the final resolved price is also inaccurate, as it will nullify the changing positions during the lifecycle of the staking period.

Time-weighted average, or TWAP, is used to solve this dilemma. This mechanism tracks the average price of both the YES and NO positions during the lifecycle of the staking period before calculating yield distribution. Robin Markets has a trustless oracle server to access the price history from Polymarket. It then uses TWAP to process the yield calculation, and signs the results on-chain. Any update on the yield in the staking vault only applies when a valid signature is verified from the oracle.

Oasis role

The trustless oracle runs on ROFL, executing the whole process of price fetching, TWAP computation, and result sign-off inside a secure enclave. No part of the process is visible, accessible, or modifiable by Robin Markets or any third parties. Also, since on-chain verification of signature must accompany any update, it ensures the oracle data remains in sync with the current chain state.

The verifiable-by-design computation and tamper-proof oracle reports ensure there are no trust gaps in the mechanism, letting users avail a first for yield on locked prediction-market positions.

Tradable & verifiable market intelligence

DeFi is the go-to web3 use case for many, but the market reality of retail traders versus institutions and professional traders shows a huge and unfair gap. While institutions benefit from reading and interpreting on-chain flows, liquidity conditions, and real-time market sentiments, professional traders have access to high-grade tools, automations, and data analysis and insights.

The Tradable platform and its SenseAI tool help plug this imbalance. With automated trading enabled and a personalised AI portfolio assistant to help, users other than traditional heavy hitters can also make the most of the market opportunities.

As an autonomous agent, SenseAI reads the market 24x7, bringing institutional feeds and insights to retail. It involves simultaneous access to three layers.

• Macro structures like dominance trends and ETF flows
• Network health like wallet data and capital inflows/ outflows
• Market sentiment like fear/ greed cycles, narrative buildup, and trajectory

With institutional-grade intelligence on their fingertips, average users can use the opportunity to translate market trends and signals into potentially high-return crypto portfolios.

The mechanics of SenseAI

SenseAI, as a market intelligence tool, differs from most similar solutions that produce information overload by dumping too much raw data, with users unable to decide how to interpret the signals or what to do next. Instead, it runs a process that combines reasoned output from strategy, research, and analysis.

As a result, SenseAI is involved in context building to decide what matters and when, data access and processing, and using all this to analyse signals and infer the best foot forward. Two key components of the process are divergence and confluence.

Divergence is where the tool can flag the fragility of a network even when the price pumps and no apparent weakness is visible or predicted by price action. Confluence is where the tool can read signal over narrative so that liquidity and on-chain activity expansion is validated as real strength rather than mere hype.

Every insight is encrypted, verified, and paid on-chain, yet the whole process feels like a normal web request.

Oasis role

Market analysis, especially using autonomous agents, needs integrity, and that trust must be earned. The mechanism should be tamper-proof, and there should also be no bias for or against any crypto assets. Running inside ROFL, SenseAI ensures confidential compute on the Tradable virtual chain on Aurora. With remote attestation securing the tool’s mechanism, it is safe from any manipulation by the operator, and the user prompts also stay confidential.

Like any other AI tool, memory is the eternal pain point. As user interactions grow, memory also grows, branches, and needs constant access for context. The storage problem is solved by putting the entire memory, comprising messages and context, in an encrypted file on Autonomys Auto Drive. So, the confidential on-chain smart contract gatekeeps and proves any conversation that happens; Auto Drive stores the conversation content, and only the user, holding the keys, can access and read it.

Currently, SenseAI is in testnet mode, where usage by the community provides the information layer for the tool. After mainnet rollout on Aurora and enabling of live token payments, it will be integrated into the Tradable platform as the verifiable market intelligence for individual traders.

Final words

Robin Markets and Tradable’s SenseAI showcase how next-gen confidential DeFi evolves alongside AI agents. Integrating Oasis’s tech stack like ROFL underlines the value of off-chain compute and verifiable privacy.

What is your take on these projects? Let’s hit the comments section.
Also, explore Oasis’s in-house private DeFi solution, Privana, or how the protocol can help build and deploy verifiable agents.

Originally published at https://dev.to on July 21, 2026.

Verifiable DeFi Is Catching On. Case Studies: Robin Markets, Tradable. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Bitcoin Improvement Proposal 110 (BIP-110) has become one of the most discussed proposals in the Bitcoin ecosystem in 2026. The proposal aims to limit the amount of arbitrary data that can be embedded in Bitcoin transactions, primarily targeting inscription-based protocols such as Ordinals, BRC-20, and Runes. Supporters believe the proposal will help reduce blockchain bloat, lower node operating costs, and preserve Bitcoin’s role as a peer-to-peer payment network. Critics, however, argue that it could restrict legitimate use cases, impact Layer-2 development, and introduce protocol-level censorship.

With the miner signaling window approaching, the discussion around BIP-110 has expanded beyond technical implementation to broader questions about Bitcoin’s governance, decentralization, and future development. This article examines why the proposal was introduced, the changes it proposes, the arguments from both sides, and what the outcome could mean for the Bitcoin network.

What Is BIP-110?

BIP-110 is a proposed temporary soft fork that introduces stricter limits on how arbitrary data can be stored within Bitcoin transactions. The proposal was first introduced in October 2025 under the placeholder draft name BIP-444 by pseudonymous Bitcoin developer Dathon Ohm.

Its primary objective is to reduce non-financial data stored on the Bitcoin blockchain by restricting the transaction structures commonly used by Ordinals, BRC-20 tokens, and Runes. The proposal also aims to reduce blockchain growth, lower node hardware requirements, and improve accessibility for individuals running full Bitcoin nodes.

Although the proposal’s technical specification has been marked as complete, it still requires ecosystem support before any activation can occur.

Why Was BIP-110 Proposed?

The proposal was introduced in response to the rapid growth of inscription-based protocols that use Bitcoin block space to store images, tokens, and other forms of arbitrary data. Supporters argue that these applications have significantly increased blockchain storage requirements while driving higher transaction fees for standard Bitcoin users.

According to the proposal, four major issues have emerged:

Proponents also argue that recent policy changes in Bitcoin Core made it easier for data-heavy transactions to enter the network, accelerating blockchain growth and increasing pressure on node operators.

What Changes Would BIP-110 Introduce?

Rather than banning inscription protocols directly, BIP-110 modifies transaction validation rules to make storing large amounts of arbitrary data significantly more difficult.

These restrictions would significantly impact protocols that rely on embedding large amounts of data on-chain.

Potential Impact Across the Ecosystem

Why Has the Proposal Become So Controversial?

BIP-110 has divided the Bitcoin community over a fundamental question: Should Bitcoin prioritize its role as a monetary network, or remain completely permissionless regardless of how block space is used?

Supporters argue that inscription-based protocols are consuming valuable block space, increasing node costs, and making it more expensive for users to participate in the network.

Luke Dashjr, one of Bitcoin’s long-time developers and a supporter of the proposal, has described BIP-110 as “a temporary measure designed to keep validation accessible and protect node operators from unnecessary storage costs.”

Jason Hughes, Vice President of Development and Engineering at OCEAN, echoed a similar view, saying:

“We need to maintain the purity of the blockchain’s base layer to keep it decentralized. BIP-110 restores historical policy caps that should never have been bypassed.”

Independent Bitcoin researcher Robert Allen also believes action is necessary, stating:

“BIP-110 is imperfect, but it is highly preferable to leaving the issue of blockchain spam completely unaddressed.”

Veteran Bitcoin investor Fred Krueger took a broader perspective on the debate, saying:

“Eventually we will figure out some way to deal with spam, quantum, and other issues… Bitcoin will make it through.”

Despite these arguments, opposition to BIP-110 remains significant.

Adam Back, CEO of Blockstream, dismissed the proposal as an unnecessary attempt to regulate how users interact with the network, describing it as a “quest to police other people,” which he believes conflicts with Bitcoin’s permissionless design.

Bitcoin security expert Jameson Lopp has also criticized the proposal, arguing that its architectural priorities are misplaced and warning against introducing consensus changes that could affect broader ecosystem development.

Developer Peter Todd questioned the proposal’s effectiveness, arguing that determined users could bypass many of the proposed restrictions, limiting its practical impact.

Community criticism extends beyond developers. Crypto analyst Javier Hermosa compared the proposal’s supporters to overly restrictive policy advocates, while Ki Young Ju, CEO of CryptoQuant, remarked:

“BIP-110 is like amending the constitution to ban littering in the park.”

Similarly, Samson Mow questioned the proposal’s chances of success, stating:

“It doesn’t have consensus… especially amongst technical development experts… and there are a lot of ordinary people using Bitcoin that don’t agree with it either.”

Supporters vs Critics

What Happens Next?

The next stage for BIP-110 is the miner signaling period scheduled to begin in August 2026. According to the available proposal details, miner support currently remains extremely limited, with signaling reported at approximately 0.31%.

If sufficient support is not achieved during the activation window, the proposal is unlikely to move forward in its current form. However, the broader discussion around inscription protocols, node costs, and Bitcoin’s long-term scalability is expected to continue regardless of BIP-110’s outcome.

Conclusion

BIP-110 has evolved beyond a technical proposal into a broader discussion about Bitcoin’s future. While supporters view it as a way to reduce blockchain bloat and improve node accessibility, critics believe it could limit innovation and alter Bitcoin’s permissionless nature. Regardless of its outcome, the proposal is likely to influence future discussions on Bitcoin governance and protocol development.

Why Is BIP-110 Creating So Much Controversy, and What Could It Mean for Bitcoin’s Future? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

In the rapidly evolving landscape of the music industry, traditional streaming services like Spotify and Apple Music have dominated the way we consume music. However, as technology advances, new players like Open Sea and Kunstify have emerged on the scene. These new distribution channels are revolutionizing how artists connect with fans and monetize their work. In this article, we’ll explore how Music NFTs serve as a compelling alternative to streaming services and why they may shape the future of music consumption.

NFTs explained

At their core, Non-Fungible Tokens (NFTs) are unique digital assets recorded on a blockchain — a decentralized ledger technology that ensures transparency, immutability, and verifiability.

Thanks for reading Mark’s Substack! Subscribe for free to receive new posts and support my work.

Each NFT carries a unique identification code and metadata that differentiates it from every other token. Unlike cryptocurrencies such as Bitcoin or Ethereum — which are fungible, meaning each coin is identical and interchangeable — NFTs are non-fungible, no two NFTs are ever the same, even if they look identical.

This uniqueness allows NFTs to represent ownership of distinct items — whether a digital painting, a song, a video, a 3D collectible, or even a physical asset like real estate or jewelry. NFTs serve as a digital certificate of authenticity and ownership, securely stored on the blockchain.

To put it simply:

Owning an NFT, is like owning a one-of-a-kind piece of art. Its value lies in its uniqueness, provenance, and cultural relevance.

What Are Music NFTs?

Before diving into how Music NFTs can disrupt the industry, let’s clarify what they are.

Music NFTs are unique digital tokens that represent ownership of a specific piece of music or related content. Recorded on the blockchain, music NFTs function as direct-to-fan distribution channels, that allows artists to bypass intermediaries like record labels and traditional streaming platforms. By selling unique digital assets directly, musicians retain ownership of their work while offering fans exclusive perks like unreleased tracks, concert tickets, merchandise, and sometimes even fractional royalties. The general consensus across the music and tech industries is that music NFTs are not meant to be treated as traditional financial investments or passive income generators. They are merely a direct-to-fan model that allows artists to sell their music to fans without intermediaries.

The Benefits of Music NFTs

• Direct Artist Support: One of the most significant advantages of Music NFTs is that they allow artists to receive direct compensation for their work. Unlike streaming services that pay artists a fraction of a cent per stream, NFTs enable musicians to sell their music at a price they set. This direct-to-fan model empowers artists financially and fosters a closer connection with their audience.
• Ownership and Scarcity: Unlike the temporary access granted by streaming subscriptions, music NFTs create a sense of ownership that streaming services cannot offer. When fans purchase a Music NFT, they own a unique piece of art. This sense of ownership can enhance fan loyalty and create a community around the artist. Additionally, the scarcity of NFTs — often limited to a certain number of copies — can drive demand and increase value over time.
• Higher Artist Revenue: Artists receive a majority share of primary sales and can earn ongoing royalties from secondary market transactions via smart contracts.
• Decentralized Control: Creators maintain full control over pricing, release schedules, and distribution without needing a record label or streaming platform as a gatekeeper.
• Exclusive Experiences: NFTs can bundle concert tickets, backstage passes, unreleased tracks, or voting rights on future projects, deepening fan engagement.

Challenges and Considerations

While music NFTs promise innovation, they come with caveats:

• Market Volatility: The value of NFTs can fluctuate dramatically, posing financial risk for both artists and collectors.
• Environmental Concerns: Although many NFT platforms now use energy-efficient proof-of-stake blockchains, historical criticism of high energy consumption persists.
• Discovery and Reach: Unlike streaming’s algorithmic recommendations, finding new music on NFT marketplaces requires active browsing and community participation.
• Regulatory Uncertainty: Legal frameworks around digital ownership, copyright, and tax reporting for NFTs are still evolving across different jurisdictions.

How It Works: A Simple Transaction

Consider a typical scenario. An artist mints a limited edition of 100 NFTs for a new single, priced at $50 each. The smart contract ensures the artist receives $48.75 for each NFT sold, while the platform retains $1.25. If a fan later resells the NFT on a secondary marketplace for $200, the smart contract automatically pays $10 to the artist.

Future Outlook for Music NFTs

As of mid-2026, several major artists have launched full albums as NFTs, and a growing number of independent musicians rely on this model as their primary revenue stream. While streaming services remain dominant for casual listening, Music NFTs are carving out a sustainable niche for artists seeking fair compensation and deeper fan relationships.

The technology continues to evolve, with innovations like fractionalized ownership and interactive NFT experiences expanding the possibilities. For many creators, this represents not just an alternative, but a necessary evolution in the music industry’s economic structure.

Music NFTs: An Alternative to Streaming Services was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Discover the best AI tools every Web3 marketing team should use to streamline content creation, community management, SEO, analytics, design, and campaign optimization for blockchain and crypto projects.

Artificial intelligence has become an essential part of modern marketing, and the Web3 industry is no exception. As blockchain projects compete for attention in an increasingly crowded market, marketing teams are expected to create high-quality content, manage active communities, analyze campaign performance, optimize SEO, and engage audiences across multiple platforms. Doing all of this manually can be time-consuming and resource-intensive.

AI tools help Web3 marketing teams work faster, make smarter decisions, and improve campaign performance without sacrificing quality. Whether you’re promoting a blockchain startup, NFT marketplace, DeFi platform, crypto exchange, or GameFi project, the right AI tools can simplify repetitive tasks and allow your team to focus on strategy and growth.

In this guide, we’ll explore the most valuable AI tools for Web3 marketing, explain how they support different marketing activities, and share best practices for integrating them into your workflow.

Why AI Is Becoming Essential for Web3 Marketing

The blockchain ecosystem evolves rapidly. Marketing teams must keep up with changing trends, frequent product updates, and active online communities.

AI enables teams to:

• Create content more efficiently
• Analyze large volumes of marketing data
• Improve customer engagement
• Optimize search engine rankings
• Personalize communication
• Automate repetitive workflows
• Generate creative ideas
• Monitor campaign performance in real time

When combined with human creativity and strategic planning, AI becomes a valuable asset rather than a replacement for marketers.

AI Tools for Content Creation

Content marketing remains one of the strongest pillars of a successful Web3 marketing strategy. AI writing assistants can help generate ideas, improve writing quality, and accelerate content production.

AI Writing Assistants

These tools assist with:

• Blog writing
• Website copy
• Email campaigns
• Social media posts
• Product descriptions
• Whitepaper drafting
• Content optimization

Popular AI writing tools include:

• ChatGPT
• Claude
• Google Gemini
• Jasper AI

While AI can produce high-quality drafts, every piece of content should be reviewed to ensure technical accuracy and align with your brand voice.

AI Tools for SEO Optimization

Search visibility plays an important role in attracting long-term organic traffic.

AI-powered SEO platforms help marketers identify opportunities to improve rankings.

Keyword Research and Content Optimization

These tools help you:

• Discover keyword opportunities
• Analyze competitors
• Optimize headings
• Improve readability
• Identify content gaps
• Track ranking performance

Popular SEO platforms include:

• Surfer SEO
• Clearscope
• Semrush
• Ahrefs

Combining AI-generated insights with SEO best practices can significantly improve the visibility of Web3 marketing campaigns.

AI Tools for Graphic Design

Visual content is essential for attracting attention on social media and educating blockchain audiences.

Design Faster With AI

AI design tools help create:

• Social media graphics
• Infographics
• Presentation slides
• Marketing banners
• Promotional visuals
• Blog illustrations

Popular options include:

• Canva AI
• Adobe Firefly
• Microsoft Designer

These tools allow marketing teams to produce professional-quality visuals without requiring advanced design skills.

AI Tools for Video Creation

Video content has become increasingly important for explaining blockchain concepts and promoting new products.

Simplify Video Production

AI-powered video platforms can assist with:

• Promotional videos
• Product demonstrations
• Tutorials
• Educational explainers
• Social media clips
• Voiceovers

Popular tools include:

• Synthesia
• Pictory
• Runway
• VEED

Short, engaging videos can improve audience engagement across X, LinkedIn, YouTube, and other social platforms.

AI Tools for Community Management

Building active communities is a critical part of Web3 marketing.

Managing Discord and Telegram communities manually can become challenging as membership grows.

Automate Community Support

AI can help:

• Answer common questions
• Moderate discussions
• Detect spam
• Organize community resources
• Provide multilingual support
• Respond instantly to users

Automation improves response times while allowing moderators to focus on meaningful conversations.

AI Tools for Social Media Management

Maintaining a consistent presence across multiple platforms requires careful planning.

Schedule and Optimize Content

AI-powered platforms help marketers:

• Generate captions
• Schedule posts
• Analyze engagement
• Recommend posting times
• Track audience behavior
• Monitor campaign performance

Popular platforms include:

• Buffer
• Hootsuite
• Metricool
• SocialBee

Consistency remains one of the most important factors in successful social media marketing.

AI Tools for Data Analytics

Marketing decisions should always be backed by data rather than assumptions.

Understand Campaign Performance

Analytics tools help measure:

• Website traffic
• Conversion rates
• Community growth
• User engagement
• Referral sources
• Campaign ROI

Platforms such as Google Analytics and Looker Studio provide valuable insights that help refine future marketing strategies.

AI Tools for Email Marketing

Email remains one of the most effective channels for nurturing communities and keeping investors informed.

Personalize Email Campaigns

AI can help:

• Generate subject lines
• Personalize content
• Optimize send times
• Segment audiences
• Improve open rates
• Analyze performance

Popular email platforms include:

• Mailchimp
• Brevo
• HubSpot

Personalized communication often leads to higher engagement than generic email campaigns.

AI Tools for Customer Support

As Web3 platforms grow, user support becomes increasingly important.

Deliver Faster Responses

AI-powered chatbots can answer questions related to:

• Wallet setup
• Token purchases
• Platform navigation
• Frequently asked questions
• Product features

This reduces response times while improving user satisfaction.

Best Practices for Using AI in Web3 Marketing

AI delivers the best results when it complements human expertise.

Combine AI With Human Creativity

AI can generate ideas and drafts, but your team should refine the content to ensure accuracy and authenticity.

Verify Blockchain Information

Because blockchain projects often involve technical concepts, always fact-check AI-generated content before publishing.

Maintain Your Brand Voice

Use AI to improve efficiency without losing the personality and tone that make your brand unique.

Focus on Value Rather Than Volume

Publishing fewer high-quality articles is more effective than producing large amounts of repetitive AI-generated content.

Continue Monitoring Performance

Review campaign metrics regularly to identify opportunities for improvement and refine your marketing strategy.

Common Mistakes to Avoid

Many teams rely too heavily on AI and overlook the importance of human oversight.

Avoid these common mistakes:

• Publishing AI-generated content without editing
• Ignoring SEO best practices
• Producing repetitive content
• Overautomating community interactions
• Neglecting originality
• Failing to verify technical information
• Relying solely on AI for strategic decisions

AI should enhance your marketing efforts rather than replace thoughtful planning.

Why AI and Human Expertise Work Best Together

Artificial intelligence excels at automating repetitive tasks, analyzing data, and generating ideas. Human marketers bring creativity, strategic thinking, emotional intelligence, and industry expertise.

The most successful Web3 marketing agencies combine both to create campaigns that are efficient, engaging, and results-driven.

By integrating AI into daily workflows while maintaining strong editorial and strategic oversight, teams can improve productivity without compromising quality.

Final Thoughts

AI is transforming how blockchain and crypto companies approach marketing. From content creation and SEO to design, analytics, social media, and community management, AI tools help marketing teams work smarter and respond more quickly to an ever-changing industry.

However, successful Web3 marketing still depends on strategy, creativity, and authentic engagement. AI can accelerate execution, but lasting growth comes from understanding your audience, building trust, and delivering consistent value.

For businesses looking to scale their marketing efforts, experienced partners like INORU combine AI-powered workflows with expert-led Web3 marketing services, including SEO, content marketing, KOL marketing, Discord marketing, community management, and growth strategies tailored for blockchain, crypto, NFT, and DeFi projects.

PS: This is just a personal Opinion DYOR and get on the track and I hope you will do the best and better start your startups it’s never late.

The AI Tools Every Web3 Marketing Team Wishes They Started Using Sooner. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

The most valuable real estate in crypto may not be an exchange order book anymore. It may be the wallet home screen. Bitget Wallet’s 100 million user claim is another sign that wallet providers see themselves as the front door to Web3, not just a place to store tokens.

The useful way to read this is not as a guaranteed price signal, but as a fresh piece of information in a market that is trying to sort real developments from noise. The caution is that headline user figures always need context. Active users, registered users, and retained users are different things. Even so, the scale of the claim shows how competitive the category has become.

For more details, visit the official Chainwire platform.

TL;DR

• Bitget Wallet says it has surpassed 100 million global users.
• The announcement points to wallet growth through swaps, dApps, and retail onboarding.
• It shows how crowded the fight to own the Web3 user interface has become.

Why wallet distribution matters

A wallet that controls the user interface can influence where users swap, which dApps they try, and how often they return. That makes wallet distribution a strategic asset in the same way exchange distribution was in earlier cycles.

The caution is that headline user figures always need context. Active users, registered users, and retained users are different things. Even so, the scale of the claim shows how competitive the category has become.

The Market Read

Treat the user number as company-reported and add context.

That is the balance readers need to keep in mind. Crypto markets are quick to turn every update into a single-direction trade, but most durable stories are more layered than that. They matter because they change positioning, incentives, infrastructure, or regulation over time.

What Comes Into Focus Now

From here, the important thing is follow-through. If the source data, company update, filing, or on-chain record continues to move in the same direction, this can become part of a larger trend. If it stalls, it is still useful as a snapshot of where attention is sitting today.

For traders and readers, the cleaner takeaway is to separate the confirmed development from the speculation around it. The confirmed part is what deserves coverage. The speculation is what needs caution.

For Crypto readers specifically, the story is useful because it gives a clearer frame for the next few sessions. It tells them what to watch, which part of the market is reacting, and where the first obvious risk sits. That is more valuable than simply saying a token, company, or regulator has made a move. The useful work is in connecting the update to liquidity, positioning, adoption, enforcement, or user behaviour without pretending that any single headline controls the whole market.

The practical question now is whether this remains an isolated update or becomes part of a chain of follow-through. A second filing, another wallet move, fresh dashboard data, a new governance vote, or a stronger market reaction can all turn a clean single-day story into a broader narrative. Without that follow-through, it still matters, but more as a marker of where attention was concentrated on July 8 than as a complete trend on its own.

That distinction is especially important in a market where headlines can travel faster than context. A source-backed update gives readers something firmer to work with, but it does not remove liquidity risk, execution risk, or the chance that traders fade the initial reaction once the first wave of attention passes.

In that sense, the headline is only the starting point. The better read is to watch how builders, exchanges, funds, wallets, regulators, or large holders respond after the first announcement has moved through the feed.

This report is based on information from chainwire.org.

This article was written by the News Desk and edited by Samuel Rae.

Source: Chainwire

The most valuable real estate in crypto may not be an exchange order book anymore. It may be the wallet home screen. Bitget Wallet’s 100 million user claim is another sign that wallet providers see themselves as the front door to Web3, not just a place to store tokens.

The useful way to read this is not as a guaranteed price signal, but as a fresh piece of information in a market that is trying to sort real developments from noise. The caution is that headline user figures always need context. Active users, registered users, and retained users are different things. Even so, the scale of the claim shows how competitive the category has become.

For more details, visit the official Chainwire platform.

TL;DR

• Bitget Wallet says it has surpassed 100 million global users.
• The announcement points to wallet growth through swaps, dApps, and retail onboarding.
• It shows how crowded the fight to own the Web3 user interface has become.

Why wallet distribution matters

A wallet that controls the user interface can influence where users swap, which dApps they try, and how often they return. That makes wallet distribution a strategic asset in the same way exchange distribution was in earlier cycles.

The caution is that headline user figures always need context. Active users, registered users, and retained users are different things. Even so, the scale of the claim shows how competitive the category has become.

The Market Read

Treat the user number as company-reported and add context.

That is the balance readers need to keep in mind. Crypto markets are quick to turn every update into a single-direction trade, but most durable stories are more layered than that. They matter because they change positioning, incentives, infrastructure, or regulation over time.

What Comes Into Focus Now

From here, the important thing is follow-through. If the source data, company update, filing, or on-chain record continues to move in the same direction, this can become part of a larger trend. If it stalls, it is still useful as a snapshot of where attention is sitting today.

For traders and readers, the cleaner takeaway is to separate the confirmed development from the speculation around it. The confirmed part is what deserves coverage. The speculation is what needs caution.

For Crypto readers specifically, the story is useful because it gives a clearer frame for the next few sessions. It tells them what to watch, which part of the market is reacting, and where the first obvious risk sits. That is more valuable than simply saying a token, company, or regulator has made a move. The useful work is in connecting the update to liquidity, positioning, adoption, enforcement, or user behaviour without pretending that any single headline controls the whole market.

The practical question now is whether this remains an isolated update or becomes part of a chain of follow-through. A second filing, another wallet move, fresh dashboard data, a new governance vote, or a stronger market reaction can all turn a clean single-day story into a broader narrative. Without that follow-through, it still matters, but more as a marker of where attention was concentrated on July 8 than as a complete trend on its own.

That distinction is especially important in a market where headlines can travel faster than context. A source-backed update gives readers something firmer to work with, but it does not remove liquidity risk, execution risk, or the chance that traders fade the initial reaction once the first wave of attention passes.

In that sense, the headline is only the starting point. The better read is to watch how builders, exchanges, funds, wallets, regulators, or large holders respond after the first announcement has moved through the feed.

This report is based on information from chainwire.org.

This article was written by the News Desk and edited by Samuel Rae.

Source: Chainwire

The wallet-targeted CPA looks great in the deck. The problem is what happens after the click and most Web3 teams find out too late that no one was ready to catch it.

It’s an easy trap to fall into. There’s a treasury line item marked “marketing,” a media buyer on the other end of a call, and a launch date circled in red. So the instinct is to open a dashboard and start spending. But in 2026, a Web3 ad dollar is judged by a colder metric than impressions: did it produce a wallet that actually stuck around. Industry benchmarks put crypto CPM between $2 and $15 on most networks, climbing to $20–$40 for wallet-targeted premium inventory, with CPA for an actual token purchase landing anywhere from $20 to $200 or more depending on the value of the conversion. Those numbers aren’t the risk. The risk is spending them on a project that hasn’t done the unglamorous work first. Before an ad account gets funded, seven things need to already be true.

What Skipping the Audit Actually Costs

The gap between a prepared campaign and an unprepared one shows up immediately in cost per acquisition. A 2026 study tracking 1,200 crypto campaigns across 14 countries found that short-form video promotion delivered an average CPA of $6.14, compared to $22.80 for the same budget spent on static banner ads nearly a 4x difference driven almost entirely by whether the creative, landing page, and community were ready to receive that traffic. Compare that to bidding directly on branded crypto search terms, where keywords like “crypto exchange” can exceed $15–$25 per click on Google Ads before a single wallet has connected. Paid media doesn’t fail because the network is bad. It fails because the budget arrives before the foundation does.

The 5 -Point Pre-Ad Ledger

Think of this as the audit a serious treasury lead runs before releasing budget not a wishlist, a gate. Each line item is something that should already be true before a single ad set goes live.

01/ Utility survives a one-sentence test

If your team can’t explain what the product does not what the token might be worth in a single plain sentence, an ad won’t fix that. 2026’s most credible projects lead with demonstrated function: fractional real estate liquidity, cheaper cross-border settlement, verifiable on-chain yield. Utility-first messaging now consistently outperforms speculation-led messaging, and it’s free to fix before you pay to amplify it.

02/ A community that exists without the ad budget community

Token-gated Discord servers, governance forums, and members-only channels are where 2026’s most durable Web3 brands are built — and they need to show signs of life before paid traffic arrives. An ad that lands a new wallet in a silent server converts once and churns. An ad that lands them in an active one converts and compounds.

03/ Organic content and search groundwork are already live SEO / AEO

Docs-led SEO, protocol comparisons, and founder-driven technical commentary are outperforming generic blog content in 2026, and they’re also what AI answer engines pull from when someone asks “is [project] legitimate” before clicking your ad. If that groundwork isn’t published yet, paid traffic is arriving to check a reputation that doesn’t exist online.

04/ KOL and KOC relationships that predate the campaign

The most effective 2026 approach pairs KOLs for reach with KOCs smaller, highly engaged creators for grassroots trust. These relationships take weeks to build properly and cannot be assembled the same week a campaign launches. Agencies running KOL marketing at scale exist specifically to have this bench ready before budget needs to move.

05/ Wallet-level attribution is wired up before dollar one on-chain data

Tools like Spindl, Formo, and Addressable, alongside Dune and Nansen for on-chain verification, can trace a click all the way to a wallet’s subsequent behavior. Without this in place, “it drove impressions” is the only story an ad campaign will ever be able to tell and impressions don’t justify treasury spend to a DAO or an investor.

What the 2026 Spending Data Actually Shows

Look at where the money is already proving out, and the order writes itself. Instagram and Facebook jointly account for 58% of ROI-focused crypto campaigns, while TikTok has overtaken YouTube in total crypto-related video views for the first time 38.4 billion versus 29.7 billion in a single quarter. None of that reach converts on its own. It converts when it lands on a community, a landing page, and an attribution stack that were built before the campaign, not during it.

The best-performing Web3 campaigns in 2026 aren’t the ones with the biggest ad budgets they’re the ones where the ad budget was the last thing turned on, not the first.

Frequently Asked Questions

Should a Web3 startup run paid ads before building a community?

No. Paid traffic that lands in an inactive Discord or a silent X account converts once and disappears. Community activity should exist before ad spend begins, not launch alongside it.

What’s a realistic CPA for a crypto ad campaign in 2026?

Expect roughly $5–$50 for a wallet connection and $20–$200+ for an actual token purchase, depending on the network and how qualified the traffic is. Short-form video creative currently runs far cheaper per acquisition than static banner ads.

Why do micro-influencers outperform macro-influencers in Web3 marketing?

Micro-influencers with 10K–100K followers are currently delivering roughly 8.3x ROI compared to 3.1x for macro-influencers, largely because their audiences trust their recommendations as genuine rather than sponsored reach.

What is wallet-level attribution and why does it matter before spending on ads?

It’s the ability to trace a user from an ad click all the way to the wallet address and on-chain actions that follow. Without it, a campaign can only report impressions and clicks not whether it produced real holders or usage, which is what most treasuries and investors now expect to see.

Before Spending on Ads, Every Web3 Startup Should Read This was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.