Marcom retweeted
Three inseparable pillars
Token architecture, business development and marketing are not three independent activities. They are three aspects of the same problem: how to make a tokenized business create sustainable value and be trusted by the community.
Business development answers the question "where are we going and how to create value". Token architecture replied "how will token support that journey". Marketing answered "how to make relevant people understand, believe and participate". If one of the three is missing, the model is easy to become skewed.
Many teams spend so much time on tokenomics that they neglect to clarify the business model. As a result, the token looks attractive but has no actual foundation to rely on. On the contrary, there are businesses that have a clear commercial direction but the token design does not match, leading to difficult operation and communication.
@TheDAOLabs clearly identifies these three areas in the consulting service for tokenized businesses. The relationship between them needs to be considered in parallel from the beginning. A token design is only really reasonable when it properly serves the enterprise to create value, serve participants and manage operations.
No function can completely replace the other functions. Good tokens start from good businesses. And a good business needs to be clearly communicated so that the relevant people understand and trust.
Starting from business logic will make everything behind much easier.
#SocialMining
#BusinessDevelopment #TokenArchitecture #Marketing #DAOLabs #Web3
Marcom retweeted
Generated text is now cheap enough that a single person can run dozens of accounts that never sleep. Likes, follows and replies can all be produced by machines at scale, which makes the old measures of influence weaker every month
This clip from @TheDAOLabs reads like a response to that world. Ghost metrics, as it calls them, are the low effort or automated signals that look like attention but vanish once the incentives are gone. Noise dressed as reach
What a machine farm cannot easily fake is a body of work that other people inspect and find solid. Original research with sources, explanations that let a complex idea click, participation that is consistent over time. WhoTweets gives that reputation weight next to volume, while Social Miners are rewarded only after review, so a human with judgment has an edge over a script with stamina
That edge is worth protecting, and #SocialMining is one of the few places actually designed around it
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
Marcom retweeted
Sybil resistance is usually discussed for airdrops, but the same problem sits inside every engagement metric. If a signal is cheap to produce and the reward is attached to raw counts, someone will automate it. Likes, follows and generic replies are the easiest targets, and they are exactly the numbers most platforms still treat as influence
The @TheDAOLabs clip calls the result ghost metrics. They exist only while the incentive does, a decent tell they were never organic. The interesting part is the counter design. Instead of trying to detect every fake, WhoTweets tracks reputation on top of activity, so the weight of a contribution depends on its quality and history, not just how many times it happened
Add a review step before Rewards are paid and the attack surface shrinks further. A script can generate volume, but it struggles to produce original research that other people check and accept
No shield is perfect. Still, pairing reputation with human review is one of the more practical answers out there, and it fits how #SocialMining is supposed to work
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
Marcom retweeted
Collection Offers Change the Trading Conversation
NFT trading doesn't always begin with someone choosing a specific asset.
Sometimes a collector is interested in an entire collection but wants to buy at a particular price.
@VelixoMarket includes collection offers as part of its marketplace functionality.
This creates an interesting alternative to browsing individual listings and waiting for a suitable opportunity.
Collection-level offers can help buyers communicate demand more broadly.
For sellers, they may provide another way to identify interested participants.
But the effectiveness of this feature depends on real marketplace activity.
An offer mechanism doesn't automatically guarantee liquidity or favorable prices.
I believe the important question is whether these tools reduce friction between buyers and sellers.
NFT marketplaces should evolve beyond simply displaying available assets.
They should help participants express interest, compare opportunities, and interact more efficiently.
Better trading infrastructure doesn't eliminate market risk.
It makes the process of participating more practical.
Marketers have known for years that vanity numbers make nice slides and weak decisions. A follower spike looks great in a report, but if it was automated or farmed, it tells you nothing about who will stay
What I like in this clip is the alternative @TheDAOLabs offers. Instead of counting the crowd, look at what people produced: research, guides, consistent participation that can be checked. WhoTweets combines reputation with volume, so quality has real weight in #SocialMining
For brands working in the #DAOVERSE, that is a far better signal to plan around
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
Marcom retweeted
Liquidity Is a Marketplace Challenge
@VelixoMarket reminds me that NFT liquidity is fundamentally different from simply listing assets.
A marketplace can display many collections while still having limited trading activity.
For buyers, liquidity affects the ability to find suitable opportunities.
For sellers, it influences whether interested participants are available.
Marketplace tools can help coordinate these interactions, but they cannot manufacture genuine demand.
I believe the strongest NFT platforms will focus on improving the relationship between discovery, pricing, and participation.
Listings create inventory.
Active buyers and sellers create a marketplace.
The Next NFT Opportunity Isn't Just About New Collections
NFT marketplaces have spent years competing for trading volume, but I believe the next stage of growth will depend on something more important: making NFT discovery and participation easier across different ecosystems.
That's why @VelixoMarket has caught my attention.
Velixo is building a multi-chain NFT marketplace experience around Fogo and Robinhood Chain, bringing collection discovery, NFT listings, and trading tools into a broader environment.
What interests me most is the relationship between accessibility and liquidity.
A marketplace can attract attention through new collections, but long-term activity depends on whether buyers can discover opportunities, sellers can reach interested participants, and communities have reasons to remain active.
Features like collection offers can help make the trading experience more flexible, while the Creators Leaderboard introduces another dimension: encouraging people to research, discuss, and share insights about the ecosystem.
However, incentives alone cannot create sustainable demand.
The real challenge for @VelixoMarket is turning initial curiosity into repeated marketplace activity.
Can users discover valuable collections more efficiently?
Can creators contribute meaningful information rather than repetitive promotion?
Can the platform build an experience that people continue using beyond individual campaigns?
These are the questions I'm watching.
The future of NFT marketplaces won't be decided by how many collections they list, but by how effectively they connect discovery, liquidity, and genuine community participation.
Most AI policy talk boils down to a short menu, and this article lays it out clearly enough to use as a study sheet:
Pause training everywhere, the route Connor Leahy and others favour
License compute so only approved players can train big models
Open the weights and verify behaviour in public
The author's case against the first two is practical rather than ideological. A pause only holds if every country and company joins, and the careful ones are usually the first to comply. Licensing sounds orderly, yet compliance costs fall hardest on small labs and independent researchers, which can leave the largest companies with a protected moat
The third option is the one @TheDAOLabs backs, pairing transparent models with people who review outputs, and in practice that looks a lot like Workdrops and #SocialMining rounds. Whatever you think of the conclusion, the menu itself is worth memorising
Traditional code was written line by line; if it broke, you fixed the logic.
Modern AI isn’t coded—it’s grown.
As @NPCollapse warns, nobody truly understands the internal math of multi-trillion-parameter models. When opaque black boxes optimize purely for rewards, they drift toward sycophancy, deception, and human disempowerment.
Top-down compute pauses and state licensing won’t save us—they just protect corporate monopolies.
The real defense? Permissionless open-weights models governed by decentralized, human-in-the-loop consensus. Through Workdrops and community validation, Social Mining keeps human judgment firmly in control.
Full breakdown in our blog. Check BIO.
Worth teaching this as two games. In the software game, the best model wins customers. In the infrastructure game, everyone pays to reach those customers, through distribution apps, payment gateways, energy grids and supply lines
The breakdown from @TheDAOLabs argues AI is turning into the second game. That reframing is the most useful lesson for #SocialMining writers covering AI, and it pairs well with the compute series already on the #DAOVERSE reading list
Every watershed shift in tech began with a low-key PDF — from Bitcoin in 2008 to Transformers in 2017.
Now, a new manifesto is shaking the market: "The Commanding Heights" by @WillManidis.
Are frontier AI labs walking into the Gutenberg Trap while durable wealth settles in infrastructure chokepoints?
Read our breakdown on the DAO Labs blog. Check our BIO.
Marcom retweeted
What if the biggest problem with token launches isn't creating tokens, but creating fair opportunities?
@hoodminers_rh is exploring this challenge through Hood Launcher, bringing token deployment and liquidity infrastructure together with the flexibility of Uniswap V4 hooks.
What interests me most is the anti-sniper fee approach.
In many token launches, automated bots can gain an early advantage, leaving ordinary participants facing unpredictable conditions.
Dynamic fee mechanisms could help address certain forms of aggressive early trading, although they cannot guarantee a completely fair launch.
I believe this is where DeFi infrastructure needs to evolve.
Launching a token should be straightforward, but the process also needs transparent rules, understandable risks, and thoughtful liquidity design.
For me, HoodMiners becomes interesting when its community-driven identity connects with tools that solve practical problems.
The future of token launches shouldn't be about who can execute the fastest transaction. It should be about building systems where more participants can understand the rules and compete on clearer terms.
That's the direction I want to see @hoodminers_rh continue exploring.
Imagine two ways to find out how a class performed. You can read the school brochure, which says every student is excellent. Or you can collect the marks from tests the students sat. The second is slower and far more useful
That is the difference the compute series draws between rate cards and indices. Ornn's OCPI is built from confirmed and OTC transactions, the test results. Advertised retail quotes are the brochure. And NATIVX's COIL adjusts for power efficiency and interconnect, a bit like weighting marks by how hard the exam was
I use this comparison when teaching newcomers to read any number in the #DAOVERSE. Ask whether it is a brochure figure or a test result. The answer changes how confidently you can write about it, and recaps from @TheDAOLabs usually tell you which one you are looking at
Marcom retweeted
Most people still do not realize where the real money is moving.
Legacy media is bleeding out while billions in brand budgets are rotating into digital creator models. Reading through the latest industry data on @Adweek shows massive corporations completely overhauling their playbook just to survive.
Attention is pure liquidity. The brands that master distribution early will dominate this entire cycle
Teaching tip from this week: use workdrop recaps as case studies
Workdrop 2644 is a good one. The leaders were credited for quality, the middle of the table was extremely tight, and @TheDAOLabs reminds everyone that the dashboard has the full picture. Ask students to open it, pick one leader and study what made the work stand out. That exercise teaches more about #SocialMining than any guide
Workdrop 2644 is in the books!
Social Miners stepped up, delivered quality, and shared a total ( withdrawal ) pool of $688.89.
Top Miners:
🥇 @vry_lle — $54.15
🥈 @ayanlajaayodeji — $34.87
🥉 @LowOnChain — $31.96
4️⃣ @Sayan1188 — $31.95
5️⃣ @Danish3088 — $28.84
Massive respect to all participants for keeping standards high. Be sure to check in the dashboard for full details.
Keep building, engaging, and mining! 🚀⚡️
Marcom retweeted
Football clubs and media brands are rethinking how they capture digital attention. When European giants pull in millions of views within minutes of every match, platforms like @goal prove that speed and direct access drive modern sports media value.
For founders watching the shift, the lesson is clear: audience loyalty belongs to those who turn live moments into instant conversations.
What sports media model will dominate the next decade in #football?
Marcom retweeted
In the Crypto market, the majority of the crowd loses because they choose to "buy attention when it is at its peak". Looking at the situation of @rarelistio Season 1 now, the story is not about who has a higher score, but about the timing of capital flow and position advantage.
1. The Rhythm Of Liquidity: Optimizing Capital Turnover
The two timelines 03/11 (@projectspherexy) and 06/11 (@agentdojo) are not just two TGE days, but form a continuous liquidity activation chain:
Project Sphere acts as a "source of capital" (Liquidity Catalyst) - releasing the first reward to reshape psychology and replenish resources.
@agentdojo immediately after that is the "stress test" (Stress Test). The harshness of this campaign is the natural filter: the impatient will give up right before the TGE, giving up the entire Value Capture to those who maintain discipline.
2. "Latent Energy" State From @fomopoly_rh
While attention is torn to two battles close to G hour, Fomopoly has the essence of a free option (Free Option). The TGE date has not been closed, which means that the discharge pressure has not yet appeared. Standing in a good position here is like owning an asset that is silently accumulating value without incurring too high an opportunity cost.
3. $50,000 Nuclear: Crowd Psychology Trap & Sustainability Problem
The FOMO of the market is often short-term and easily distracted. Players who usually see a brilliant project will give up all their resources to rush in, and then lose their breath when another project appears.
However, the $50,000 bonus structure of Season 1 is designed to reward the overall strategy. Maintaining a uniform presence on all 3 fronts is the strongest insurance rope, helping us fully reap both "short-term profits per project" and "long-term rewards from Season Pool".
Marcom retweeted
Starknet just launched a Proof of Read initiative alongside its strkBTC rollout, putting a verifiable credential behind actual foundational knowledge. As Bitcoin transitions from dormant cold storage collateral into active Layer 2 settlement via ZKrollups, understanding the baselayer architecture matters more than ever.
The process to mint your Satoshi Card is straightforward:
=> Go to strkbtc.starknet.io/read
=> Review the original Bitcoin whitepaper
=> Complete the five question verification assessment
=> Mint your Satoshi Card directly on Starknet
Anwers:
• Double spending.
• To combine and split value.
• The previous block’s hash.
• Use block headers and a Merkle branch.
• The proof-of-work for that block and all following blocks.
October is Cybersecurity Awareness Month as a joke now, and honestly, the irony is pretty brutal. We watched a massive wave of compromises hit Binance, Polymarket, GitHub Actions, SoftBank, Cursor marketplace, a Coinbase vendor, Capcom, TiDB Cloud, and Warp's vendor.
When you line those names up, a really uncomfortable pattern jumps off the page. Almost none of these were traditional onchain exploits. Nobody was sitting in a dark room finding a zero day flaw in a Solidity vault or manipulating a flash loan oracle. The attackers went straight after the web2 wrapper. They hit the CI/CD pipelines, the third party SaaS vendors, the developer extensions, and the cloud database providers. We spent the last four years pouring billions of dollars into formal verification for smart contracts while leaving the front door to the deployment servers wide open.
This supply chain vulnerability crisis is the direct result of the 2024-2026 tech efficiency cycle. Higher baseline interest rates forced every major tech company and crypto foundation to run lean. When liquidity tightens, security operations and internal tooling are always the first things outsourced to third party vendors. At the exact same time, teams started pushing AI coding assistants like Cursor and automated workflows through GitHub Actions at breakneck speed to cut down on dev headcount. That creates a massive, invisible attack surface.
A DeFi protocol might have an immutable, triple audited core contract on Ethereum or Solana, which is great. But their frontend is hosted on a centralized cloud, their customer data sits with an outsourced support vendor, and their dev team downloads untrusted extensions from open marketplaces to ship code faster. When the Cursor marketplace or a GitHub Action gets poisoned, the attacker bypasses the blockchain entirely. They steal the environment variables, hijack the frontend DNS, or inject malicious code right before the build step. Even institutional giants like SoftBank and Coinbase aren't getting breached directly anymore. They get bled out through their lowest tier SaaS vendor that forgot to rotate an API key.
So how do we actually trade and build around this? First, if you are allocating capital into liquid tokens or infrastructure plays, stop treating a clean CertiK or Trail of Bits audit as a green light. It means almost nothing if the team's operational security is garbage. Start scrutinizing how protocols manage their offchain dependencies. On the venture and liquid fundamental side, the real rotation is moving toward decentralized physical infrastructure, zero trust deployment pipelines, and verifiable offchain compute. Projects building cryptographic verification for software supply chains and decentralized frontends are going to capture serious institutional flow over the next two quarters because traditional cloud security is clearly failing.
For your own stack, if your devs are using Cursor or automated repo actions, lock down your dependency versions immediately and strip out third party marketplace plugins on any machine that touches production keys. Segregate your operational wallets completely from your dev environments. The market is going to start pricing in a massive discount on protocols that rely heavily on centralized web2 middleware, while rewarding teams that actually decentralize their full stack. Stay paranoid out there.
Marcom retweeted
Good evening, fam!
Different ideas, different worlds.
What I enjoy about @rarelistio is discovering projects that approach Web3 from completely different angles.
@projectspherexy explores the idea of harnessing a star's energy.
@fomopoly_rh turns virtual land into an interactive economy.
@agentdojo brings AI agents to life through training, memory, and competition.
Unique concepts, each worth exploring.
Rarelistio gives creators a space to share what they discover, earn RARS, and work toward future $RARE rewards.
For me, good content starts with understanding what makes each idea worth paying attention to. So here is the question for tonight: are you exploring ideas, or just scrolling past them?
