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I’ve put together an ''Inner CT'' list of 250 people and created a Google Sheet so everyone can easily access it: docs.google.com/spreadsheets…
I’ll keep adding to it - the goal is to reach 2000+. Whenever I update it, I’ll drop a reminder under this post.
Also, huge thanks to @CryptoColaX for the help!
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Also, zero creation fee, 0.7% trading fees, and $500 on graduation.
launchpad model done right 🫡
Introducing the Curve pad.
Launch a token on a bonding curve in $GOO.
When the curve fills, it graduates and you get $500 in GOO.
You also earn 0.7% of every trade, on the curve and in the pool.
No creation fee. Live now on Robinhood Chain.
The goo must spread.
Link below!
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Actual cash incentives for creators building on @GrayGooEx.
going to be interesting to see which coins graduate first 👀
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Alpha ⤵️
My Mind enters the arena. $100K on the table.
Forged on @robinhoodapp Chain. May the @MindGames_AI begin.
-> minds.games/?ref=6BA831BF
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October 10th last year was the day the entire crypto market crashed, with over $19B in liquidations. BTC dropped 14.5%, from $122,574 to $104,782, and more than 1.6 million accounts were liquidated.
Now the question is: will it happen again on October 10th?
I created a market about it on @xomarket. Do you think we’ll see another 10/10?
Make your prediction -> beta.xo.market/event/will-10…
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One thing I like about @axisrobotics is how they're approaching the future of robotics.
Robots need real experience to get better, and Axis is building a system where people from all over the world can contribute to that process.
-> 6M+ robot trajectories on @base
-> 200K+ contributors worldwide
-> 1,800+ tasks in its research datasets
But what I find even more interesting is the learning loop.
As robots improve, they can help identify what data is needed next. More useful data leads to better models, and better models can keep pushing things forward. It's this kind of continuous improvement that makes Physical AI so interesting to follow.
Curious to see how far Axis can take this.
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GM 🙌
@ComputersRh is one of the interesting projects launching soon on Robinhood, and the hype is already building.
-> 3,333 NFTs
-> Free mint
Make sure to submit your application before it's too late. Apply here → computersrh.xyz/ref=hollyyy
Also, I'll try to bring a giveaway for you guys. 👀
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holly retweeted
Reality was never meant to remember everything.
Some possibilities disappeared before they could become history.
Some left traces anyway.
Enter the Record 👇
stetnft.xyz/whitelist
The Record will open on @GIWA_by_Upbit when mainnet begins.
Until then, the threshold is open.
WHAT IS OBSERVED, REMAINS.
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$20 > $1000
For those asking, I sold half to realize some profit. I’ll hold the rest. It’s a project directly supported by @injective, and I think it should go much higher.
Let’s see what happens.
runup is live
runup.fun
launch tokens powered by perps.
pick a market. long or short. run a token.
run it up.
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Holding BTC doesn't have to mean keeping it idle.
What I find interesting about BTCFi on @Starknet is what happens after Bitcoin arrives onchain as strkBTC. You can take the same BTC exposure and choose different paths:
→ Stake strkBTC through @Endurfi and receive xstrkBTC, with STRK rewards automatically compounded.
→ Provide liquidity through the strkBTC/xstrkBTC pool on @EkuboProtocol and earn from trading activity and eligible incentives.
→ Use strkBTC as collateral on @Vesuxyz to borrow USDC without selling your BTC exposure.
And right now, bridge fees are covered for the first 100 BTC bridged through strkbtc.io. So the interesting part isn't simply bringing Bitcoin to Starknet.
It's turning BTC from an asset you hold into capital you can actually use across DeFi while keeping BTC exposure.
Stake → LP → Borrow.
BTCFi on @Starknet is starting to look like a real ecosystem.
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Verification shouldn't require exposing everything behind it.
That's what makes @primus_labs interesting to me. The framework goes beyond simply verifying data:
Data → onchain data, offchain data, API responses
State → balances, activity, authorization
Actions → transactions, agent actions, real-world workflows
All of these can become verifiable inputs for onchain applications without making the underlying private information public.
Think about proving that you have sufficient balance without revealing your entire financial history, verifying account activity without exposing the whole account, or proving an agent completed a specific action without revealing unnecessary data.
This is where privacy × verification becomes practical.
Apps don't always need access to your raw data. They need reliable proof that a specific condition, state or action is valid.
That's a much stronger foundation for DeFi, identity, AI agents and institutional finance.
-> s.kaito.ai/Iis5TLx
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Distribution is still one of the hardest problems in crypto.
@RallyOnChain just opened it up with Permissionless Campaigns. Anyone can launch one in ~5 minutes using stables or RLPs, with some of the lowest CPMs in crypto.
The whole process is right here ↓
Rally is also live on Robinhood Chain, where projects can run campaigns using their own tokens.
-> rally.fun/r/hollyyy
Announcing Permissionless Campaigns, our biggest release to date!
Distribution is the hardest problem in crypto. You can build a great product or launch a token, but attention is what matters
Now anyone can launch a campaign on Rally and get instant distribution!
Join now 👇
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Autonomous payments are useful, but there’s a bigger problem: how does one AI agent know another agent can actually do the job?
That’s another part of @termix_ai I’ve been looking into.
AACP doesn’t treat trust as something agents simply have. It builds several layers around the transaction:
->> onchain agent identity
->> staking
->> reputation history
->> delivery verification
->> dispute resolution
So an agent isn’t only discovering a provider and sending payment. There’s infrastructure around who is providing the service, whether the work was actually delivered and what happens when something goes wrong.
This becomes especially important as agents start transacting with agents they’ve never interacted with before.
Humans have profiles, reviews, contracts and payment protection when hiring online. Autonomous agents need their own version of that trust layer.
That’s what makes the identity, reputation and verification side of @termix_ai just as interesting to me as the payment layer.
The deeper I look into @termix_ai, the more AACP feels like the real foundation behind the agent economy they’re building.
My previous post focused on how Agent Skills lets coding agents interact with the marketplace. But the more important part is what happens after that connection is made.
An agent doesn’t just discover another agent. It can request a service, negotiate terms, fund the order onchain, receive the work and settle the transaction through the same protocol.
That creates a much more complete loop:
discovery → negotiation → execution → settlement
And because AACP is designed as an open protocol, this isn’t limited to agents living inside agent.family. Different agents, frameworks and applications can potentially use the same commerce layer.
That’s the part I’m watching closely with @termix_ai.
An agent economy becomes much more interesting when agents aren’t only autonomous in what they do, but also in how they buy, sell and settle services with each other.
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The JUMP presale has already raised $25M+. So I checked @xomarket to see what the market thinks about the next milestone:
Will JUMP raise more than $35M? -> YES or NO? <-
What do you think? 👇
s.kaito.ai/OpYKeAw
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Private Bitcoin on @Starknet is no longer just an idea. It’s live.
strkBTC lets BTC holders move between public and shielded activity while still putting their Bitcoin to work across Starknet DeFi.
-> Bridge BTC into Starknet
-> Use strkBTC across DeFi
-> Shield balances when more privacy is needed
-> Transfer privately
-> Unshield when you want to return to public activity
What I like here is that privacy isn’t treated as a separate product you need to figure out. It’s accessed directly from supported wallets and becomes another option for how you use BTC onchain.
Bitcoin can remain productive without every supported balance or transfer needing to stay publicly visible.
This is probably the clearest way to understand what strkBTC is actually bringing to Starknet.
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I might be spending too much time on CT 😭
test your CT ball knowledge.
speed and accuracy determine your score.
what’s your IQ: R3ACH-IQ.com
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The @axisrobotics Community Sale is officially settled, and the final structure looks better than the original terms.
The sale closed oversubscribed, which means allocations were reduced pro-rata. But Axis also introduced a bonus for participants who committed under the original, stricter unlock structure.
Here’s where it landed:
-> Final fulfillment: 42.0346%
-> 25% of allocated $AXIS unlocks at TGE
-> Bonus tokens are fully unlocked at TGE
-> Bonus is calculated from the original commitment, before pro-rata dilution
-> USDC refunds were sent automatically
That bonus mechanism is the part that stands out to me.
Axis says 2,472 participants committed before the terms were improved. Instead of calculating their bonus from the final ~42% allocation, the team is using their original commitment amount.
There was also a small adjustment from 41.7674% → 42.0346% fulfillment after several wallets/KYC submissions linked by Axis to suspicious activity were rejected.
Sale settled. Refunds sent. Final allocations are visible. Now the focus shifts back to what Axis actually builds between here and TGE.
I’m still contributing through the Axis Katalyst campaign: s.kaito.ai/4puIgZE
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Prediction markets usually reward one thing: being right. @xomarket is building a wider incentive loop around the entire market.
You can earn by:
->> trading markets
->> creating your own Convictions
->> providing liquidity through orders
->> getting those orders filled
->> referring new users
->> simply participating and earning CP
The creator side is especially interesting.
If you launch a Conviction that people actually want to trade, you keep 20% of the trading fees generated by that market while it remains live.
Market makers have their own incentives too. XO has a $1M liquidity rewards program, while filled maker orders can receive a 35% rebate.
So the loop becomes:
Create → attract traders → provide liquidity → generate volume → earn.
Yesterday I wrote about how XO lets anyone create the market.
The next question is what happens when the people creating and supporting those markets also have a reason to keep them active.
That’s where @xomarket starts looking less like a prediction market app and more like a marketplace for markets.
s.kaito.ai/OpYKeAw
Prediction markets still feel more curated than they should. That’s why @xomarket caught my attention.
A few platforms decide which questions deserve a market, users trade what they’re given, and almost everything outside major events gets ignored.
XO 2.0 flips that model around.
-> Anyone can create a market, called a Conviction
-> Creation starts from $10
-> You set the opening odds
-> Demand decides which markets grow
-> Successful Convictions can graduate into full Prediction Markets
And the market can be about almost anything: crypto, sports, internet culture, niche communities, or something only 50 people actually care about.
There’s also an interesting creator layer here. If you create a Conviction people want to trade, you keep 20% of the trading fees it generates for as long as it remains live.
But opening market creation to everyone creates another problem: who decides what actually happened?
That’s where MODRA comes in.
XO’s AI Market Engine assists with creation and resolution, using multiple-agent consensus against a source defined when the market is created. So scaling user-generated markets doesn’t have to mean putting every resolution in the hands of a single party.
The easiest comparison is YouTube.
YouTube gave everyone an upload button and let demand decide what deserved attention. XO is bringing a similar idea to prediction markets.
Create → trade → gain traction → graduate.
Instead of asking what markets a platform should list, I’m more interested in what people will create once anyone can launch one.
I’ll be exploring @xomarket more over the next few posts.
s.kaito.ai/OpYKeAw
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