More than 8 million people have embraced the future by creating their human IDs on @Humanityprot. This incredible milestone shows the growing acceptance of this technology.
The palm verification scan is an innovative tech with a lot of real-world applications, including:
➤ Voting registration - In most parts of the world, elections are rigged through voter card forgery or fake identity. Systems like palm scanning could ensure one person, one vote, by linking a unique biometric signature to a voter.
➤ Healthcare Authentication - palm scan could replace hospital cards which are prone to duplication or loss. Biometric authentication is important for patient identification, improving security and efficiency.
➤ Access Control - In places with restrictions, PoH ensures that only the right people can enter, getting rid of easily lost or stolen key cards and passwords.
➤ E-commerce Security - E-commerce platforms often face the risk of fake buyers and sellers. The use of PoH to verify both buyers and sellers will lower fraud risk and improve user trust.
➤ Bank transactions - PoH can help banks verify customer identities more accurately, reducing fraud and identity theft during online transactions.
➤ Event access- The use of tickets, passwords, and forms can be replaced with palm verification. This biometric verification will offer seamless event access.
Proof of humanity (PoH) system provides a secure and reliable way to prove identity without revealing personal data.
• This is a cutting-edge technology, the world needs this, and we all need this. I'm bullish on $H, you should be too.
Ethereum is quietly entering the phase that Bitcoin just exited — and very few are paying attention.
Spot Ethereum ETFs saw $240M in net inflows yesterday, outperforming Bitcoin’s $164M. That marks 18 consecutive days of positive flows — a streak even Bitcoin didn’t sustain this long.
This isn’t just short-term momentum. It’s structural.
-> BlackRock led the charge with $163M into ETHA -> Fidelity, Bitwise, and Grayscale followed with consistent inflows -> $ETH derivatives volume topped $106B, outpacing Bitcoin’s $80B -> Meanwhile Ethereum’s Pectra upgrade is quietly making L2s faster and cheaper
At the same time, regulators are signaling a shift.
SEC Chair Paul Atkins openly endorsed the right to self-custody, calling it a “foundational American value.”.
That may sound symbolic — but it’s not.
It’s a green light for protocols that empower users through DeFi, staking, and Ethereum’s ecosystem.
We’re seeing a perfect storm:
+ Institutional validation via ETFs + Regulatory tone warming toward DeFi + A massive yield and dev ecosystem BTC doesn’t have + ETH/BTC pair showed strength.
Most are still framing $ETH as "the laggard." But what if it's just entering the repricing phase $BTC went through post-ETF?
This isn’t just catch-up. It’s Ethereum transitioning from a tech asset to a macro one, with the infrastructure, liquidity, and legitimacy to back it up.
And the flows are telling you that revaluation has already started.
AI today can still hallucinate, show bias, or simply make things up. But @Mira_Network isn’t just another AI tool, they’re building the infrastructure to verify AI-generated content, reduce errors, and remove the need for constant human oversight.
With $9M in seed funding secured, Mira’s mission is clear: make AI outputs verifiable, trustworthy, and transparent.
They’ve just launched their own AI chatbot, Klok it’s similar to chatGPT, but with a twist. You earn points and rewards for chatting, completing tasks, and inviting friends.
Plus, @Mira_Network is offering 0.5% token allocation exclusively to @KaitoAI yappers. Just create high-quality content on X to earn your share of the rewards.
So why just use ChatGPT when you can use @klok_app and get rewarded?
4. Creator and evaluator rewards baked into the loop
It’s not just another AI hype project — Inferium is building infra for accountable, composable agents.
And the traction’s real:
• 1.6M users • 600k+ inference requests • 8k+ DAU (peaked at 55k) • D30 retention of 40% • $300K+ projected ARR from paying clients.
Also, backed by top tier AI projects like @Fetch_ai, @ionet, @OasisProtocol, @Agent_Layer and builders from Microsoft, NEAR, Temasek. Not the usual anon hype crew.
If you're bullish on onchain AI infra with real metrics and upside for builders, $IFR should be on your watchlist.
I first heard about @virtuals_io from @Zeneca on @MilkRoadDaily around October last year. $VIRTUAL’s price was pretty low back then (didn’t buy, sadly 🥲). Then the AI agent meta took off and boom, Virtuals shot up to become the No. 1 launchpad for AI agents.
At the time, the current “InfoFi meta” didn’t even exist, and Virtual had the full attention of CT. It’s hands down one of the strongest AI coins out there, consistently bouncing back after every dip. Just in April, it surged by 195% after a major dip.
The virtual ecosystem has grown so big to become a powerhouse for AI agents, now home to over 17,000 agents and generating more than $7 billion in trading volume.
AI agent is shaping up to be a multi billion dollar sector and virtual is at the forefront of this industry. With its momentum, $VIRTUAL has the potential to reach a $10 billion valuation by the end of 2025.
(This is a chart showing the price of virtual late last year)
Whales unloaded 684,000 ETH yesterday — worth $1.75B.
Retail sentiment turned bearish fast. But if you zoom out, the data tells a more nuanced story.
Let’s unpack it:
1. $ETH only dropped 3.95%
For context: this is one of the largest single-day $ETH sell-offs in months. Yet the price reaction was muted.
→ That suggests strong demand on the other side. Someone is absorbing it.
2. Whale netflow is -83.5k $ETH
A negative netflow shows more $ETH moving out of large holder wallets than in.
→ This often correlates with local sell pressure. But again, the market response was resilient.
3. Taker Buy-Sell Ratio hit a weekly low
Seller dominance is clear. But historically, this metric hitting lows often precedes short-term price recoveries, not breakdowns.
4. Exchange Supply Ratio at a weekly high
More $ETH is sitting on exchanges — usually a bearish signal. But paired with low volatility and stable price, it could indicate whale distribution into willing buyers, not forced exits.
So, does this mean $ETH is safe?
Not exactly. But it does mean the market is efficiently absorbing large-scale selling.
We’ve seen this pattern before: → Whales sell into strength → Retail exits in fear → Smart money quietly accumulates
If $ETH was truly weak, it would’ve broken below the $2.4K range already. It hasn’t. Not yet.
Stablecoins are growing fast , and may soon be the future of money. Stablecoins now hold a market cap of about $234 billion and could grow to $2 trillion by 2028.
@sparkdotfi is making stablecoins more rewarding with its 4.5% APY. This is more than what most traditional banks pay on savings.
Users can easily supply stablecoins (USDC, USDS, DAI) into spark Savings vaults and receive Savings USDS (sUSDS). You can also withdraw your funds anytime and redeem your sUSDS for the stablecoin of your choice—USDS, DAI, or USDC with no protocol or dApp fees.
With $3.11 billion in TVL, @sparkdotfi shows strong user trust and rising stablecoin adoption.
Now, spark is on @cookiedotfun and anyone can earn SNAPS by posting high quality content on X.
Visit https://t.co/xl87RuXHyV ▶︎ Set up your profile. ▶︎ Join the campaign. ▶︎ Create contents and earn snaps.
Everyone on the timeline is so loud about @stayloudio. It may seem chaotic or spammy, but it has the highest mindshare, and you don’t go against the community.
The $LOUD team introduced a new token launch model called the 𝐼𝓃𝒾𝓉𝒾𝒶𝓁 𝒶𝓉𝓉𝑒𝓃𝓉𝒾𝑜𝓃 𝑜𝒻𝒻𝑒𝓇𝒾𝓃𝑔 (IAO). This model aims to build a real community by valuing attention & engagement.
Unlike other forms of token launches like IDO & ICO that are capital-driven, IAO prioritizes community engagement and attention rewarding the loudest voices with @KaitoAI’s help.
The @stayloudio IAO comes up on Saturday, May 31st with two presale Phases:
▶︎ Phase 1 (Guaranteed): • For the top 1,000 $LOUD leaderboard yappers.
• 0.2 Solana per wallet.
▶︎ Phase 2 (FCFS): • Open to anyone who has connected their sol wallet to KaitoAI with more than 10 smart followers.)
• 0.2 $SOL (drops to 0.05 if oversubscribed)
The $LOUD token has a high potential of doing a 10x, so Stay LOUD! 🔊
If you’re not stacking Yaps or Snaps, now’s the time to start earning River Points, this is still early.
I joined the @River4fun early contributor campaign and I’m already climbing the leaderboard. Only a few people are in so far, so it’s a great chance to get ahead.
▪︎ Connect your X account and enter a referral code to join.
▪︎ Start posting about River to earn River pts.
▪︎ Keep posting and tag @RiverdotInc or @River4FUN, you can also join the S2 airdrop by providing satUSD-USDT liquidity and earn 50x River Pts to maximize rewards.
But River is more than just a campaign. @RiverdotInc is building a circulatory system protocol that connects capital, yield, and contribution across chains.
Currently live on 8 chains including Arbitrum, BNB, and Hemi. •$130M+ in TVL •$20M+ satUSD in circulation •River Points (ERC20) and staking coming soon on BNB Chain.
► Join with my ref link to get a 1.2x boost. https://t.co/3rDpepClKY
► Mint satUSD and provide liquidity for a 50x multipliers.
If you still think the best-performing DeFi protocols are the ones with the most Twitter engagement, the biggest raises, or the flashiest UI, you’re already behind.
In a market obsessed with incentives and narratives, it’s easy to forget the metric that built every blue-chip business in the real world: actual revenue.
— Why Revenue > TVL, FDV, or Memes
TVL is a vanity metric. Protocols inflate it with mercenary capital and yield bait.
FDV is a dream. It’s what your startup would be worth if everyone was high on copium.
Revenue is real. It shows who users are willing to pay — even in a bear market.
Real revenue tells us three things:
1️⃣ Who has actual product-market fit
2️⃣ Who isn’t relying solely on token incentives
3️⃣ Who could survive if the yield dried up tomorrow
— Top Revenue-Generating Protocols (last 30d)
Here’s what the numbers say — normalized by FDV, TVL, and user base: