Amazing to see @Bullshot911 raise $7.7M in this current market.
With Animoca Brands and P2 Ventures backing the project, plus $1M raised with @MindoAI.
Bullshot is building something interesting around AI agents, token creation, and on-chain trading.
If you’re into AI x crypto, go check them out: bullshot.io/
⇩
Bullshot has raised $7.7M
We’re grateful to our investors, partners, and strategic supporters for believing in our vision and backing what we’re building.
Bullshot is building the next generation of AI-powered on-chain infrastructure, bringing together token creation, trading, and autonomous AI agents in one ecosystem.
This milestone strengthens our commitment to building, scaling, and pushing the boundaries of what’s possible on-chain.
Thank you to everyone who is part of this journey.
We’re just getting started.
The new X algorithm engine completely changes how your posts are shared
If you want more reach, focus on direct conversations and shareable utility
• A Link Copy gives a +30x boost
• A Mutual Reply gives a +30x boost
• Negative actions drop visibility instantly
More info ↓
X ALGORITHM UPDATE 🚨
X just stopped cutting new posts first, and that should help small accounts (I check it daily with Claude and share updates worth sharing with you)
tl;dr:
- X can only check 2,800 posts each time you open your feed
- new posts used to be last in line, so they got cut first
- now everything gets cut equally, new posts included
- posts labeled low quality or misinfo now show a warning, and people can't like, reply or share them
- no score changes this time
lesson learned: your new posts now get a fair chance to be seen. Your first 2 hours still matter most.
full details:
- How it worked until this week
Every time someone opens For You, X collects around 3,700 posts it could show them: posts from people they follow, popular posts, posts liked by similar people, and brand new posts.
But X only has time to check 2,800 of them.
So it just took the first 2,800 in line. Brand new posts were at the back of the line. When there were too many, they were the ones left out... and a post that never gets checked can't be shown.
- What changed
Now everything gets cut by the same amount. 25% too many? Every type of post loses 25%, new posts included. Nobody goes first.
- Why small accounts should care
Those brand new posts are under 2 hours old, with under 8 likes and under 500 views. That's where most posts from smaller accounts are.
My read: they now get a fair chance instead of being cut first. How often X actually hits the 2,800 limit isn't in the code, so I can't tell you how big the difference is.
- Low quality and misinfo posts now show a warning
If X labels your post as low quality or misinformation, people who don't follow you see a warning on it, and they can't like, reply, repost, bookmark or share it. The code doesn't say what gets a post that label.
Here's a recap of what you should be doing:
- a new post gets its extra push only in its first 2 hours and first 200 views, so post when your people are online
- likes carry more weight than ever at 0.66 each
- people sticking around pays, the time-spent score is 50% higher than two weeks ago
- a read of 10+ seconds after someone opens your post adds 0.4
- the boost favors the post with the best like rate from its first viewers
- accounts up to 50K can get one fresh original lifted to roughly 16th
- nothing beats a copy link share, it scores 20
- replies, quotes and DM shares each score 5
- talk with your mutuals, replies between you score 20 instead of 5
- originals are the only posts that travel outside your follower base
- the 1st and the 32nd like each open a new route to strangers
- your 2nd post in the same feed is worth 62% of the first, so pick your best one
- videos still need 10+ seconds to qualify for the video lists
- earning a follow adds 4
- a pinned post with a bad link can flag the account for 7 days, worth a quick check
What you should NOT be doing:
- posts that get labeled low quality or misinfo now carry a warning, and nobody outside your followers can like or share them
- video alone won't carry you, an open counts 0.02 and the watch 0
- hide-worthy posts cost more, "not interested" sits at -52.27
- a post at 3am burns its 2 hour window before anyone sees it
- a tap that turns into a bounce is worth only 0.3
- replies and reposts don't get past your followers
- insults get your post hidden from anyone who doesn't follow you
- adult media in 3 of your last 5 posts puts a label on your account
- disguised content in videos gets checked from 64 likes, harder at 512
- self-reply chains under big accounts risk being zeroed
- one account label and non-followers stop seeing you entirely
- low-rated links don't belong in your pinned post
- recycled wording can get tagged as copypasta spam
- strangers tagged plus a low quality link is a pattern X flags
- engagement bait has no size exemption
- several posts in a row end up competing with each other
- hashtag stacks add nothing
- bookmarks are still worth 0
- 48 hours in, For You is finished with a post
ΞLIKRYPTO retweeted
how X ranks your posts (breakdown of the new algo update)
the X algo predicts how each person will react to your post, and that then decides if and where it shows up in their feed
here's how much each reaction counts, compared with a like:
> someone copies the link: 30x
> someone you follow back replies: 30x
> a reply, a quote or a DM share: 7.6x
> a follow from the post: 6x
> a repost: 1.5x
> a like: 1x
> a bookmark: 0
the negative actions weigh far more, a report is -355x a like, a mute -89x, "not interested" -79x and a block -47x
if X predicts someone is likely to mute or report your post, it ranks lower in their feed
reports get a big weight because they are rare, a report is over 1,000x less likely than a like
these rules decide how far a post can reach:
> if you have 50,000 followers or fewer, X can boost a new original post up to about 16th place in someone's feed
> the boost only works in the post's first 2 hours, and stops once the post has 200 views in the Home feed
> X boosts one post each time a feed loads, and it prefers posts that got the most likes per view from their first viewers
> after 48 hours, X stops putting your post in people's feeds
> your replies and reposts only show up in the feeds of people who follow you
> original posts can also reach people who don't follow you, X scores them 25% lower for those people
> when several of your posts compete for one person's feed, the 2nd keeps 62.5% of its score and the 3rd keeps 43.75%
> replies, quotes, DM shares and copied links only count when people find your post in their feed, so engagement from a group chat link adds nothing
> if X labels your post low quality, it shows a notice on it and people can't like, reply, repost, bookmark or share it, misinformation labels can limit it too
what I'd do with it (my read of the weights):
> post when you can reply in the first 2 hours
> write posts people want to quote, reply to or send in a DM
> reply back to accounts that follow you
> post originals when you want to reach new people
X ALGORITHM UPDATE 🚨
X just stopped cutting new posts first, and that should help small accounts (I check it daily with Claude and share updates worth sharing with you)
tl;dr:
- X can only check 2,800 posts each time you open your feed
- new posts used to be last in line, so they got cut first
- now everything gets cut equally, new posts included
- posts labeled low quality or misinfo now show a warning, and people can't like, reply or share them
- no score changes this time
lesson learned: your new posts now get a fair chance to be seen. Your first 2 hours still matter most.
full details:
- How it worked until this week
Every time someone opens For You, X collects around 3,700 posts it could show them: posts from people they follow, popular posts, posts liked by similar people, and brand new posts.
But X only has time to check 2,800 of them.
So it just took the first 2,800 in line. Brand new posts were at the back of the line. When there were too many, they were the ones left out... and a post that never gets checked can't be shown.
- What changed
Now everything gets cut by the same amount. 25% too many? Every type of post loses 25%, new posts included. Nobody goes first.
- Why small accounts should care
Those brand new posts are under 2 hours old, with under 8 likes and under 500 views. That's where most posts from smaller accounts are.
My read: they now get a fair chance instead of being cut first. How often X actually hits the 2,800 limit isn't in the code, so I can't tell you how big the difference is.
- Low quality and misinfo posts now show a warning
If X labels your post as low quality or misinformation, people who don't follow you see a warning on it, and they can't like, reply, repost, bookmark or share it. The code doesn't say what gets a post that label.
Here's a recap of what you should be doing:
- a new post gets its extra push only in its first 2 hours and first 200 views, so post when your people are online
- likes carry more weight than ever at 0.66 each
- people sticking around pays, the time-spent score is 50% higher than two weeks ago
- a read of 10+ seconds after someone opens your post adds 0.4
- the boost favors the post with the best like rate from its first viewers
- accounts up to 50K can get one fresh original lifted to roughly 16th
- nothing beats a copy link share, it scores 20
- replies, quotes and DM shares each score 5
- talk with your mutuals, replies between you score 20 instead of 5
- originals are the only posts that travel outside your follower base
- the 1st and the 32nd like each open a new route to strangers
- your 2nd post in the same feed is worth 62% of the first, so pick your best one
- videos still need 10+ seconds to qualify for the video lists
- earning a follow adds 4
- a pinned post with a bad link can flag the account for 7 days, worth a quick check
What you should NOT be doing:
- posts that get labeled low quality or misinfo now carry a warning, and nobody outside your followers can like or share them
- video alone won't carry you, an open counts 0.02 and the watch 0
- hide-worthy posts cost more, "not interested" sits at -52.27
- a post at 3am burns its 2 hour window before anyone sees it
- a tap that turns into a bounce is worth only 0.3
- replies and reposts don't get past your followers
- insults get your post hidden from anyone who doesn't follow you
- adult media in 3 of your last 5 posts puts a label on your account
- disguised content in videos gets checked from 64 likes, harder at 512
- self-reply chains under big accounts risk being zeroed
- one account label and non-followers stop seeing you entirely
- low-rated links don't belong in your pinned post
- recycled wording can get tagged as copypasta spam
- strangers tagged plus a low quality link is a pattern X flags
- engagement bait has no size exemption
- several posts in a row end up competing with each other
- hashtag stacks add nothing
- bookmarks are still worth 0
- 48 hours in, For You is finished with a post
ΞLIKRYPTO retweeted
The cheapest MEV defense is the trade you never send. In Fund OS, built in public at @MessyVirgoCoin , a cost check stopped an agreed buy and a failed test run stopped a sale. Should agents be scored on trades they skip?
THE BLIND SPOT OF THE AI NARRATIVE: THE EMERGING MEV BATTLE
Everyone on CT is talking about the Agentic Economy: autonomous machine networks managing capital, executing cross-protocol trades, and operating across DeFi.
But there is a technical problem beneath this narrative.
An intelligent agent can identify a profitable arbitrage opportunity, calculate the optimal trade, and still fail to capture the expected return.
Identifying an opportunity and executing it profitably are two different problems.
✧ THE EXECUTION GAP
Consider an AI agent identifying a price discrepancy between two DEXs.
It submits a transaction, but another searcher captures the opportunity, liquidity changes, or slippage erodes the expected return. If exposed to a vulnerable public execution path, it may also face a sandwich attack.
The model can be correct while the economics fail.
This matters when evaluating market intelligence from @aixbt_agent and autonomous agent platforms such as @virtuals_io and @ai16zdao.
Not every AI agent executes trades, and exposure depends on its activities and transaction pathway.
✧ THREE LAYERS THAT MATTER
⊹ Execution protection — Flashbots and @jito_labs
Flashbots Protect routes Ethereum transactions through a private transaction flow, reducing exposure to public-mempool front-running and sandwich attacks. On Solana, Jito’s DontFront mechanism can constrain transaction ordering within qualifying bundles.
Neither approach guarantees protection against every form of MEV.
⊹ Data verification — @primus_labs
Primus’s zkTLS approach addresses verification of information originating from Web2 services.
For agents relying on external data, this can help establish whether information is trustworthy. However, authentic data does not automatically protect subsequent transactions from front-running.
⊹ Agent infrastructure — @vangrid_io, @agentic_ai and @TermiX
These projects belong to the broader discussion around decentralized intelligence and automated workflows. Their capabilities must be assessed individually rather than assuming they all execute financial transactions or share identical vulnerabilities.
An agent’s risk profile depends on its permissions, transaction pathways, and control over capital.
✧ THE PRIVACY MISCONCEPTION
Privacy is not a single security feature.
Solana’s Token-2022 Confidential Transfers are designed to conceal transfer amounts and balances. They do not automatically conceal every transaction detail or prevent transaction-ordering manipulation.
Similarly, private transaction submission does not guarantee favourable pricing, sufficient liquidity, or successful execution.
Data verification, transaction confidentiality, and MEV protection solve different problems.
Confusing these layers can create a false sense of security around autonomous systems managing real capital.
✧ WHAT WILL SEPARATE THE WINNERS
I think the next phase of the Agentic Economy will depend less on agent counts and more on how reliably agents create economic value.
Look beyond mindshare.
Examine realised returns after transaction costs, execution failures, slippage, liquidity constraints, and risk controls.
An agent that identifies ten opportunities but consistently fails to capture their value may be less useful than one that identifies fewer opportunities and executes them efficiently.
The challenge is combining trustworthy data, sound decisions, and execution infrastructure that protects the value those decisions should create.
I think the strongest agentic systems will turn intelligence into measurable economic results without surrendering unnecessary value during execution.
The AI narrative tells us what agents might do. Their execution economics will show us what they can actually deliver.
This is my opinion based on the data I’ve reviewed, not financial advice.
THE BLIND SPOT OF THE AI NARRATIVE: THE EMERGING MEV BATTLE
Everyone on CT is talking about the Agentic Economy: autonomous machine networks managing capital, executing cross-protocol trades, and operating across DeFi.
But there is a technical problem beneath this narrative.
An intelligent agent can identify a profitable arbitrage opportunity, calculate the optimal trade, and still fail to capture the expected return.
Identifying an opportunity and executing it profitably are two different problems.
✧ THE EXECUTION GAP
Consider an AI agent identifying a price discrepancy between two DEXs.
It submits a transaction, but another searcher captures the opportunity, liquidity changes, or slippage erodes the expected return. If exposed to a vulnerable public execution path, it may also face a sandwich attack.
The model can be correct while the economics fail.
This matters when evaluating market intelligence from @aixbt_agent and autonomous agent platforms such as @virtuals_io and @ai16zdao.
Not every AI agent executes trades, and exposure depends on its activities and transaction pathway.
✧ THREE LAYERS THAT MATTER
⊹ Execution protection — Flashbots and @jito_labs
Flashbots Protect routes Ethereum transactions through a private transaction flow, reducing exposure to public-mempool front-running and sandwich attacks. On Solana, Jito’s DontFront mechanism can constrain transaction ordering within qualifying bundles.
Neither approach guarantees protection against every form of MEV.
⊹ Data verification — @primus_labs
Primus’s zkTLS approach addresses verification of information originating from Web2 services.
For agents relying on external data, this can help establish whether information is trustworthy. However, authentic data does not automatically protect subsequent transactions from front-running.
⊹ Agent infrastructure — @vangrid_io, @agentic_ai and @TermiX
These projects belong to the broader discussion around decentralized intelligence and automated workflows. Their capabilities must be assessed individually rather than assuming they all execute financial transactions or share identical vulnerabilities.
An agent’s risk profile depends on its permissions, transaction pathways, and control over capital.
✧ THE PRIVACY MISCONCEPTION
Privacy is not a single security feature.
Solana’s Token-2022 Confidential Transfers are designed to conceal transfer amounts and balances. They do not automatically conceal every transaction detail or prevent transaction-ordering manipulation.
Similarly, private transaction submission does not guarantee favourable pricing, sufficient liquidity, or successful execution.
Data verification, transaction confidentiality, and MEV protection solve different problems.
Confusing these layers can create a false sense of security around autonomous systems managing real capital.
✧ WHAT WILL SEPARATE THE WINNERS
I think the next phase of the Agentic Economy will depend less on agent counts and more on how reliably agents create economic value.
Look beyond mindshare.
Examine realised returns after transaction costs, execution failures, slippage, liquidity constraints, and risk controls.
An agent that identifies ten opportunities but consistently fails to capture their value may be less useful than one that identifies fewer opportunities and executes them efficiently.
The challenge is combining trustworthy data, sound decisions, and execution infrastructure that protects the value those decisions should create.
I think the strongest agentic systems will turn intelligence into measurable economic results without surrendering unnecessary value during execution.
The AI narrative tells us what agents might do. Their execution economics will show us what they can actually deliver.
This is my opinion based on the data I’ve reviewed, not financial advice.
ΞLIKRYPTO retweeted
Tokenisation is only the first step, putting it to work in Defi is the hard part
Here is where xStocks now are winning in the market
What’s Really Behind Solana’s €22M Euro Stablecoin Surge
Solana’s euro stablecoin supply reportedly grew by $22M in one week, more than the combined increase across other tracked chains.
Data tracked by @tokenterminal for the week ending October 25 puts Solana’s share of the euro stablecoin market at roughly 14%, making it the second-largest network after Ethereum.
But the headline needs context.
A reported 20M EURC pre-mint account linked to @circle’s Gateway may account for much of the increase.
These tokens support cross-chain operations and aren’t circulating supply until released.
That means the $22M increase doesn’t necessarily represent $22M in fresh capital entering Solana.
⊹ Who is building the euro stablecoin market
Circle issues EURC, while Société Générale-FORGE issues EURCV. Both are bringing euro-denominated digital assets into the onchain market.
While Thune is integrating EURC into its global payment network and @AllUnityStable has expanded its EURAU stablecoin to Solana.
The opportunity goes beyond token issuance. Faster settlement and lower transaction costs could make Solana useful for euro payments, transfers and cross-border settlement.
The metric I would watch next is actual adoption: circulating supply, trading liquidity and sustained payment activity.
Issuing a euro stablecoin is one step. Building consistent demand for it is another.
This is my opinion based on the data I’ve reviewed, not financial advice.
⊹ GRVT: THE VISION AND THE EXECUTION
After exploring different developments around $GRVT, here are five things that stand out to me.
✧ Yield while trading
Making capital productive while keeping it available for trading could help users manage their funds more efficiently.
GRVT currently offers a 3.5% base APY on eligible stablecoin balances, with a planned upgraded Earn product targeting up to 11% APY.
✧ Self-custody and security
Giving users control over their assets is important, but security and risk management remain essential.
GRVT’s security measures include smart contract audits by Spearbit DAO and infrastructure penetration testing by NCC Group.
✧ Tokenized fixed income
Bringing traditional fixed-income opportunities onchain could expand access to new yield-generating assets. Execution and transparency will matter most.
GRVT identifies the global fixed-income market as a $161 trillion opportunity.
✧ $GRVT token
The buyback and burn of 1.1 million $GRVT was a tangible step, representing close to 1% of the circulating supply at the time. Long-term value will depend on utility, demand and ecosystem growth.
✧ GRVT 2.0
The goal is to bring more of these features together. The real test will be product quality, user adoption and retention.
GRVT is targeting the end of November 2026 for GRVT 2.0, with a roadmap that includes integrated earning and trading features.
⊹ WHAT COMES NEXT
GRVT is working toward bringing trading, yield and asset control into one ecosystem. The opportunity is there, but execution will determine how far it goes.
And to the @GRVT_io team, if you are reading this, I hope you take a moment to appreciate how far the work has brought you.
Keep improving, keep listening to users, and keep building. Meaningful products take time, and consistency matters.
The vision is what gets people interested. The work you put in from here is what can make them believe in it.
I look forward to seeing how GRVT actually executes its roadmap.
This is my opinion based on the data I’ve reviewed, not financial advice.
Pyth’s Pull-Based Oracles Change When DeFi Pays for Price Updates
Crypto prices are formed across markets, including exchanges like @Binance and @coinbase. But getting reliable price data into a blockchain application requires another layer of infrastructure: oracles.
Oracle architecture affects how fresh prices reach smart contracts, when update costs are incurred, and how protocols respond when markets move sharply.
⊹ Traditional push feeds
Classic @Chainlink Data Feeds aggregate market data through decentralized oracle networks and publish prices on-chain when configured heartbeat or price-deviation conditions trigger updates.
Protocols can read the latest published price without submitting a new oracle update with every transaction. However, prices can become stale between updates, and network congestion can affect publication timing.
⊹ Pull-based feeds
@PythNetwork takes a different approach. It makes cryptographically signed price updates available off-chain, allowing applications to submit the data they need on-chain when they need it.
Rather than publishing every update on-chain in advance, an application can submit a price update alongside the transaction that uses it. The receiving contract verifies the update before using the price.
This changes when update costs are incurred, but does not eliminate them. Who pays depends on the protocol’s integration and transaction design.
⊹ Where security becomes critical
In lending markets, stale prices can distort collateral valuations and delay liquidations. In perpetual markets, price freshness can affect liquidations and execution.
Pull-based delivery can help applications access recent prices, but it does not automatically eliminate execution risk, slippage or MEV.
Protocols still need freshness checks, safe failure handling and liquidation mechanisms that do not blindly rely on outdated prices.
There is another important distinction: @Chainlink also offers Data Streams, a pull-based solution for latency-sensitive applications. The comparison is therefore about which delivery model fits a protocol’s needs, not simply Pyth versus Chainlink.
An oracle can deliver a valid, signed price, but that alone does not make a protocol safe. The consumer contract must validate the data and enforce appropriate safeguards. Poor integration can leave a protocol vulnerable even when the oracle itself is functioning as intended.
Oracle security depends not only on the integrity of the data, but also on how the protocol validates and acts on it.
This is my opinion based on the architecture discussed, not financial advice.
THIS WEEK’S TOKEN UNLOCKS
Oct 25–31, 2026
This week brings token releases across several projects, with $XPL, $FF and $CARDS among the largest by estimated dollar value. Other unlocks stand out because of their potential impact on circulating supply.
TOP 10 TOKEN UNLOCKS THIS WEEK
▹ OCT 25 | Plasma ($XPL)
✧ 227.78M XPL · ~$16.3M · 4.78% of circulating supply
▹ OCT 26 | AltLayer ($ALT)
✧ 240M ALT · ~$1.60M · 3.26% of circulating supply
▹ OCT 26 | Sahara AI ($SAHARA)
✧ 160M SAHARA · ~$1.22M · 3.70% of circulating supply
▹ OCT 28 | Sign ($SIGN)
✧ 400M SIGN · ~$4.33M · 14.11% of circulating supply
▹ OCT 28 | Stacks ($STX)
✧ 4.2M STX · ~$1.25M · 0.22% of circulating supply
▹ OCT 29 | Falcon Finance ($FF)
✧ 203.1M FF · ~$20.1M · 6.07% of circulating supply
▹ OCT 29 | Collector Crypt ($CARDS)
✧ 59M CARDS · ~$18.6M · 6.69% of circulating supply
▹ OCT 30 | Kamino ($KMNO)
✧ 230M KMNO · ~$9.3M · 3.93% of circulating supply
▹ OCT 30 | Zora ($ZORA)
✧ 170M ZORA · ~$1.14M · 3.73% of circulating supply
▹ OCT 31 | FLOCK ($FLOCK)
✧ 16M FLOCK · ~$683K · 3.35% of circulating supply
OTHER UNLOCKS THIS WEEK:
▹ OCT 25: $COAI
OCT 26: $FOGO · $MIRA · $BLAST · $ALOT · $SVL
OCT 27: $YGG · $NAVX · $AGIX · $NUM · $IOTA · $GGP · $FET
OCT 28: $SOPH · $TREE · $SPEC · $AERO · $BMEX · $MILK
OCT 30: $CELO · $WMTX · $W · $REZ · $NYAN
OCT 31: $PRIME · $CXT · $GUN · $FORT · $GTAI · $SIDUS · $SKL · $AI · $ACS
Token unlocks can increase selling pressure, but that doesn’t guarantee a sell-off.
The impact depends on the amount released relative to circulating supply, recipient allocations, market liquidity and demand.
Dollar values fluctuate with token prices, and schedules may vary by source.
That’s it for this week’s token unlocks. See you on the next one.
CRYPTO THIS WEEK
October 26–31, 2026
A busy week ahead across crypto markets, monetary policy, institutional adoption and blockchain infrastructure.
Bitcoin’s price action, the Federal Reserve’s decision and major industry events will shape the week.
Here are the key events to watch.
THE HIGHLIGHTS:
✧ The Federal Reserve announces its rate decision on October 28.
✧ US Q3 GDP and September PCE inflation data arrive on October 29.
✧ Solana monitors performance following Alpenglow activation.
✧ Ethereum postpones Glamsterdam’s Hoodi testnet activation.
✧ Ripple hosts Swell in New York, October 27–29.
✧ Chainlink’s LINK:NYC takes place on October 29.
✧ Robinhood reports earnings on October 27.
✧ Coinbase reports earnings on October 29.
✧ Zcash Foundation hosts Zcon7, October 27–29.
✧ Stellar hosts Meridian, October 28–29.
✧ LABITCONF takes place October 30–31.
✧ Bitcoin’s $80K level and ETF flows remain in focus.
HERE ARE THE DETAILS
◈ FEDERAL RESERVE
The @federalreserve announces its rate decision on October 28. US Q3 GDP and September PCE inflation data follow on October 29. Both could influence market expectations and crypto sentiment.
◈ BITCOIN AND ETF FLOWS
Bitcoin enters the week near $80K. Watch whether buyers defend this level and whether spot ETF flows sustain institutional demand.
◈ SOLANA ALPENGLOW
@Solana activated Alpenglow on October 21, targeting around 150ms finality. The focus now is real-world performance, reliability and network usage.
◈ ETHEREUM GLAMSTERDAM
@ethereum postponed Glamsterdam’s Hoodi testnet activation to investigate compatibility issues involving EIP-8037. A new date has not been announced.
◈ RIPPLE SWELL
@Ripple hosts Swell in New York from October 27–29. Watch for concrete launches, integrations and evidence of institutional adoption.
◈ CHAINLINK LINK:NYC
@Chainlink’s LINK:NYC takes place on October 29, focusing on institutional blockchain infrastructure. Live integrations and production deployments matter more than announcements.
◈ CRYPTO EARNINGS
✧ October 27 — @RobinhoodApp reports Q3 earnings.
✧ October 29 — @coinbase reports Q3 earnings after market close.
Trading activity and transaction revenue will offer insight into demand for crypto-related businesses.
◈ INDUSTRY EVENTS
✧ October 27–29 — @ZcashFoundation hosts Zcon7 in Cancún.
✧ October 28–29 — @StellarOrg hosts Meridian in Lisbon.
✧ October 30–31 — @LABITCONF takes place in Buenos Aires.
Watch for meaningful ecosystem updates, product launches and new integrations.
The priority is separating announcements from measurable progress, real usage and sustained adoption.
That’s it for this week. See you on the next one.
Ethereum L2s have solved a big part of the scaling problem. The next challenge is making the ecosystem work like one.
Yesterday, Ethereum L2s processed 16.63M transactions in a day across tracked networks, according to @growthepie.
But look at how that activity is distributed.
▹ Base: 7.53M transactions
▹ Robinhood Chain: 4.55M
▹ Arbitrum One: 1.27M
@Base alone accounted for roughly 45% of the tracked total. Robinhood Chain contributed another 27%.
The ecosystem is processing activity at scale, but that doesn’t automatically mean users and liquidity move freely between networks.
⊹ This is the part of the L2 debate that deserves more attention.
Every new chain can bring its own applications, liquidity pools, infrastructure, and ecosystem incentives. For users, moving between them can still mean bridging assets, checking network compatibility, managing gas, and finding enough liquidity to execute a trade efficiently.
Cheaper transactions are valuable. But the cost of using crypto isn’t just the fee for one transaction. It’s also the friction involved in getting your assets where they need to be.
And launching another chain doesn’t automatically solve that problem.
⊹ The next stage is chain abstraction.
Users should be able to access applications and liquidity without needing to understand every network involved. Ideally, routing, bridging, and execution happen behind the scenes, while security and transaction outcomes remain transparent.
That doesn’t mean every L2 is unnecessary. Different networks can serve different purposes. But each one needs a reason to exist beyond issuing a token and competing for short-term activity.
Ethereum’s L2 strategy has expanded transaction capacity. The next test is whether that capacity can become a connected user experience rather than a collection of separate ecosystems.
Scaling made transactions cheaper. Connecting the experience is the next challenge.
This is my opinion based on the data reviewed, not financial advice.
GRVT: INSTITUTIONAL FINANCE, ONCHAIN
In my recent post, I covered how @grvt_io aims to let users earn yield while trading, with up to 11% APY on eligible assets.
This time, I want to focus on two other important aspects: control over your assets and access to institutional-grade investment opportunities.
⊹ YOUR ASSETS, YOUR CONTROL
@grvt_io uses a self-custodial model built around onchain smart contracts and user-authorized withdrawals.
Instead of relying entirely on an exchange to control customer funds, users authorize withdrawals with their keys. GRVT says it cannot independently sign a withdrawal and redirect funds to another address.
That distinction matters. You can use an exchange for trading without treating custody as a separate issue. Self-custody doesn’t eliminate smart-contract or infrastructure risks, but understanding who controls your assets is essential.
⊹ INSTITUTIONAL INVESTMENTS, MORE ACCESSIBLE
GRVT aims to bring a share of the estimated $161 trillion traditional fixed-income market onchain through tokenized investment opportunities.
Fixed-income products, including government bonds and debt securities, have long played a major role in institutional portfolios. Access to certain investment products can involve high minimums and eligibility restrictions.
GRVT’s vision is to make eligible opportunities more accessible while bringing investing and trading together on one platform.
The goal is for eligible capital to potentially generate yield while remaining useful for trading, rather than forcing users to treat both activities separately.
The $161 trillion figure represents the wider market, not the amount available on GRVT. Returns aren’t guaranteed, and product terms and risks matter.
For me, the interesting part is the combination of asset control and access to investment opportunities traditionally associated with institutional finance.
That’s also the kind of infrastructure that could shape how users interact with $GRVT and the wider platform as it develops.
This is my opinion based on the information reviewed, not financial advice.
ΞLIKRYPTO retweeted
idle margin that still earns
most of my stables sit on an exchange doing nothing between trades, that always felt like lost opportunity.
what i like here is that eligible USDT and USDC balances on @grvt_io earn yield while they stay put, so you don't have to pick between earning and trading.
small thing, but it changes how you think about keeping cash on the exchange.
GRVT IS BRINGING YIELD AND TRADING CLOSER TOGETHER
One thing I like about what @grvt_io is building is the idea that your capital can earn a return without you having to pull it away from trading.
Through its Earn on Equity programme, eligible USDT and USDC balances earn yield while remaining available for trading. GRVT’s current published terms offer a 3.5% base APY, with a referral bonus that can bring it to 4.5%. Its broader plans also include tokenised fixed-income opportunities, with the campaign highlighting potential yields of up to 11% on eligible assets under the applicable terms.
But an attractive APY is only one part of the equation. How your assets are held, who can authorise their movement and how easily you can access them matter just as much.
This is where GRVT’s self-custodial approach becomes important. User funds are held in onchain smart contracts, and withdrawals require authorisation through the user’s key. GRVT says it does not hold that key and cannot independently sign a withdrawal or redirect funds to an address of its choosing.
That distinction gives users control over the authority to move their assets, rather than relying entirely on a company’s promise to return them.
At the same time, GRVT’s Yield Layer puts otherwise idle reserves to work through approved DeFi protocols, starting with USDT lending on @Aave V3. A dedicated smart-contract vault manages the movement of funds between the trading system and those approved protocols. GRVT also documents emergency controls that can pause new yield allocations while keeping the route open to recover funds from a strategy.
These mechanisms help define where funds can go and how the system responds when something goes wrong. Most withdrawals remain fast, although some large Ethereum withdrawals can enter a queue with a documented two-hour processing deadline.
None of this eliminates risk. Smart contracts can have vulnerabilities, external protocols can suffer losses, and self-custody does not guarantee that every transaction or withdrawal will be free of complications. Understanding those risks is part of making an informed decision about where to put your capital.
This is also why I find GRVT’s wider direction interesting. The platform is working towards connecting trading with tokenised fixed-income investments, potentially giving users more ways to earn while keeping eligible assets useful as trading collateral.
The $GRVT token is part of the broader ecosystem, but it is important to distinguish its role from the yield itself. Returns depend on the specific product, its underlying assets and its terms, not simply on holding $GRVT.
For me, the real value in this approach is the combination of capital efficiency and control. Earning while trading is compelling, but pairing that convenience with transparent fund management, clear withdrawal rules and self-custody is what makes the proposition worth examining closely.
This is my opinion based on the data I’ve reviewed, not financial advice.
GRVT IS BRINGING YIELD AND TRADING CLOSER TOGETHER
One thing I like about what @grvt_io is building is the idea that your capital can earn a return without you having to pull it away from trading.
Through its Earn on Equity programme, eligible USDT and USDC balances earn yield while remaining available for trading. GRVT’s current published terms offer a 3.5% base APY, with a referral bonus that can bring it to 4.5%. Its broader plans also include tokenised fixed-income opportunities, with the campaign highlighting potential yields of up to 11% on eligible assets under the applicable terms.
But an attractive APY is only one part of the equation. How your assets are held, who can authorise their movement and how easily you can access them matter just as much.
This is where GRVT’s self-custodial approach becomes important. User funds are held in onchain smart contracts, and withdrawals require authorisation through the user’s key. GRVT says it does not hold that key and cannot independently sign a withdrawal or redirect funds to an address of its choosing.
That distinction gives users control over the authority to move their assets, rather than relying entirely on a company’s promise to return them.
At the same time, GRVT’s Yield Layer puts otherwise idle reserves to work through approved DeFi protocols, starting with USDT lending on @Aave V3. A dedicated smart-contract vault manages the movement of funds between the trading system and those approved protocols. GRVT also documents emergency controls that can pause new yield allocations while keeping the route open to recover funds from a strategy.
These mechanisms help define where funds can go and how the system responds when something goes wrong. Most withdrawals remain fast, although some large Ethereum withdrawals can enter a queue with a documented two-hour processing deadline.
None of this eliminates risk. Smart contracts can have vulnerabilities, external protocols can suffer losses, and self-custody does not guarantee that every transaction or withdrawal will be free of complications. Understanding those risks is part of making an informed decision about where to put your capital.
This is also why I find GRVT’s wider direction interesting. The platform is working towards connecting trading with tokenised fixed-income investments, potentially giving users more ways to earn while keeping eligible assets useful as trading collateral.
The $GRVT token is part of the broader ecosystem, but it is important to distinguish its role from the yield itself. Returns depend on the specific product, its underlying assets and its terms, not simply on holding $GRVT.
For me, the real value in this approach is the combination of capital efficiency and control. Earning while trading is compelling, but pairing that convenience with transparent fund management, clear withdrawal rules and self-custody is what makes the proposition worth examining closely.
This is my opinion based on the data I’ve reviewed, not financial advice.
It’s the weekend, and it’s time to catch up on what happened in crypto this week.
From market moves to major industry updates, here are the stories that mattered most from October 18–24
Let get into it ▼
𝗠𝗔𝗥𝗞𝗘𝗧𝗦 & 𝗖𝗔𝗣𝗜𝗧𝗔𝗟
⊹ Bitcoin faced selling pressure near $81K as U.S. spot Bitcoin ETFs recorded significant outflows
⊹ @BlackRock filed for PBIT, a proposed Bitcoin ETF combining BTC exposure with options-based downside protection.
⊹ @DeFiLlama reported $89.7B in DeFi TVL, $300.5B in stablecoin market cap, and $43.7B in weekly DEX volume on October 24.
⊹ Ethereum staking reportedly reached 35.9% of ETH supply, with annualized gross yields around 2.63%
⊹ @Strive reportedly bought 1,223 BTC for about $100M, bringing its holdings to 36,818 BTC
𝗜𝗡𝗦𝗧𝗜𝗧𝗨𝗧𝗜𝗢𝗡𝗦 & 𝗣𝗔𝗬𝗠𝗘𝗡𝗧𝗦
⊹ @JPMorgan expanded its dollar-denominated JPM Coin to Ethereum for eligible institutional clients
⊹ @SoFi launched SOFIE, a tokenized bank deposit reportedly offering 4.40% APY—not a stablecoin
⊹ @HSBC launched its HKD stablecoin, RedCoin, through PayMe
⊹ @StanChart agreed to acquire full ownership of Zodia Custody, pending regulatory approval
⊹ Visa reportedly explored acquiring @FireblocksHQ while Visa & Mesh advanced crypto payment integration
𝗗𝗘𝗙𝗜 & 𝗢𝗡-𝗖𝗛𝗔𝗜𝗡
⊹ @AEroDronefrObFl and @VelodromeFi combined their DEX infrastructure under Aero across seven networks
⊹ @Uniswap launched Aggregator Hooks across Ethereum, Base, & Robinhood Chain, connecting v4 to external liquidity and directing supported external-swap fees toward UNI burns.
⊹ @pendle_fi introduced PendleLoop for leveraged yield strategies, amplifying potential gains and losses
⊹ @NEARProtocol launched NEAR Business, a confidential multisig treasury for payments, swaps, & treasury management across 35+ chains
⊹ @Injective partnered with BDACS to support KRW1, a Korean won-pegged stablecoin for tokenized-asset settlement
⊹ @Dune launched real-time trading data feeds covering 200+ onchain venues across 12 networks
⊹ @CMEGroup announced planned standard and micro Bitcoin Cash and Uniswap futures, subject to regulatory review
𝗧𝗢𝗞𝗘𝗡𝗜𝗭𝗘𝗗 𝗦𝗧𝗢𝗖𝗞𝗦
⊹ Twenty-two companies reportedly objected to plans to list their shares on a proposed OKX–ICE tokenized securities platform, highlighting concerns over issuer consent, securities regulation, and shareholder rights
𝗣𝗥𝗢𝗧𝗢𝗖𝗢𝗟𝗦 & 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘
⊹ @Solana activated Alpenglow, targeting approximately 150ms finality versus roughly 12.8 seconds under the previous design
⊹ @LayerZero_Core targeted November 30 for its planned Zero L1 blockchain & lzATLAS trading engine.
⊹ Ethereum postponed Glamsterdam’s Hoodi testnet activation for further technical investigation; no replacement date was confirmed.
𝗥𝗘𝗚𝗨𝗟𝗔𝗧𝗜𝗢𝗡
⊹ The @USOCC finalized a GENIUS Act implementation rule for payment stablecoin issuers under its jurisdiction, effective January 18, 2027.
⊹ Ireland’s Central Bank fined @Coinbase Ireland approximately €3.25M over customer-fund safeguarding and outsourcing failures. High Court confirmation remains pending.
𝗦𝗘𝗖𝗨𝗥𝗜𝗧𝗬
⊹ @cysic_xyz suspended its bridge after an attacker minted 10 million unauthorized CYS tokens on BNB Chain. About $727K reportedly reached Ethereum.
⊹ @initia halted its network following unauthorized token minting, with preliminary estimates of $2.6M–$2.7M in affected assets; final losses remain unconfirmed.
⊹ Bitcoin Core updated its vulnerability-disclosure policy amid concerns that AI tools can make security flaws easier to identify.
━━━━━━━━━━━━━━
𝗪𝗛𝗔𝗧 𝗦𝗧𝗢𝗢𝗗 𝗢𝗨𝗧
Crypto’s progress continues to depend on capital flows, real-world utility, reliable infrastructure, regulatory clarity, & user protection.
Institutions expanded tokenized deposits and blockchain payments, while DeFi advanced multichain trading & liquidity.
Hope you found this useful. See you on the next one
ΞLIKRYPTO retweeted
saw this last night, shipped it this morning
Netro Signal now watches 20 big accounts across
solana, base, hyperliquid and more,
and pings you when a fresh project follows them
free on [@ netrosignal_bot], just send /follows on
One useful tool I'd love to see someone build is an X or Telegram bot that alerts users whenever a new project follows a major account within a particular ecosystem.
Here's the thinking.
When new projects start building on ecosystems like Solana or Base, one of the first things they often do is follow the ecosystem's official X account, founders, and other influential voices.
These follow patterns could serve as early signals for discovering emerging projects, sometimes before they gain significant attention.
Imagine a bot tracking these activities and sending real-time alerts, helping researchers, job seekers, and ecosystem contributors discover projects early.
Of course, a follow doesn't necessarily mean a project is legitimate or building on that chain, but it could be a useful discovery signal.
Who's building something like this already? Or does it exist?
GRVT: THE 11% APY HAS A DETAIL MOST PEOPLE WILL MISS IF THEY ONLY READ THE HEADLINE.
I’ve been posting about @grvt_io lately, from its first buyback and burn to the developments leading up to GRVT 2.0.
Today, I want to highlight something about its yield model that deserves more attention.
It’s not just about earning interest. It’s about what happens to your capital while you’re waiting for your next trade.
Here’s the part worth understanding.
✧ THE 11% APY ISN’T THE BASE RATE
GRVT’s Earn on Equity program offers a base rate of 3.5% APY on eligible USDT and USDC balances.
According to its published program, eligible users can receive an additional 1% APY through referrals, while trading activity can unlock a further boost of up to 6.5%.
That brings the potential maximum to 11% APY.
In other words, the headline rate depends on how you participate. It isn’t an automatic 11% return for every depositor.
The base yield accrues automatically, and eligible balances remain available for trading. GRVT says yield is paid daily in USDT. ( 11% isn’t guarantee it only offer up to )
✧ THERE’S ALSO A SEPARATE INVESTMENT OPPORTUNITY
GRVT’s investment products include an Opportunistic Bundle targeting up to 11% annually.
That is a different product from Earn on Equity. Its current strategy has been associated with Brazilian card receivables through BlackOpal LiquidStone, introducing credit risk that users must understand.
The target isn’t guaranteed, and investment returns can differ from expectations.
This distinction matters because the same headline APY can describe very different ways of generating returns.
✧ WHAT ALSO MATTERS FOR GRVT 2.0
GRVT is working toward an experience where users can earn yield, invest and trade through a unified self-custodial balance.
Its planned Yield as Margin feature is particularly interesting because eligible balances in GRVT Earn are intended to continue generating yield while supporting trading positions, subject to the product’s conditions.
That would connect two activities that are often separated across different platforms.
The first $GRVT buyback and burn brought attention to the token. But the yield infrastructure and the products built around it are worth examining on their own merits.
The main deal isn’t just the promise of 11% APY. It’s understanding where the yield comes from, what determines your actual rate, and whether your capital can remain useful while you trade.
I’ll be covering other aspect of $GRVT also stay tuned
This is my opinion based on the information reviewed, not financial advice. Yield targets are not guaranteed.
