doubt what sounds certain, follow what holds up. trader | analyst | edge seeker
Crypto Realm
Joined January 2025
- Tweets43.7K
- Following4K
- Followers6.8K
- Likes101K
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Just landed on the site, signed in with ๐, and picked a fandom on @IPXExchange
the Fan check has 7 questions, and you only get one shot
-> correct answers give Aura
-> faster answers add a small bonus
-> the fan Card pulls a social aura from your follower count
after that the Studio opens
the daily streak is the one that compounds.
open it every day, the multiplier starts at 2.0x and climbs to 2.9x by day 10
miss a day and it resets.
plus-ones are the invite side
friends who finish tasks add Aura to you.
side quests are Dc, Tg, the waitlist, and saying hi to Alfred.
the content side is the one that scales
post about IPX, tag @IPXExchange, then paste the link into the studio under Submit your work.
alfred scores it between 100 and 1k Aura, then the streak multiplies it
guides and actual fandom knowledge score higher than hype.
board closes 15 November
get started: ipx.exchange/fanszn
๐ค Paid partnership
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Prediction markets are becoming an increasingly important part of the crypto ecosystem. What started as a way for people to speculate on the outcomes of real-world events has grown into a market where participants can trade on elections, economic developments, cryptocurrency prices and much more.
Platforms like Polymarket have demonstrated how much demand exists for turning information and opinions into tradable positions.
But as the sector expands, there is another side of the market that deserves attention: how capital is managed.
In most prediction markets, traders commit capital when purchasing positions. While those positions can potentially be sold before resolution, holding them over longer periods means that a significant amount of capital can remain tied to existing trades.
For active traders and liquidity providers, this creates a limitation. Opportunities don't stop appearing simply because capital is already committed elsewhere.
Traditional financial markets have addressed similar challenges through margin trading, credit facilities and borrowing against existing assets. These tools allow participants to access additional liquidity without necessarily liquidating their portfolios.
Prediction markets, however, have their own complications. Event contracts can experience sudden price movements when unexpected information changes the likelihood of an outcome. This makes managing collateral and lending risk considerably more difficult than in conventional crypto markets.
This is the gap @Lattica is looking to address.
Lattica is building a margin and credit infrastructure designed specifically for prediction markets. Instead of competing with existing platforms, it aims to provide the financial layer that allows participants to use their capital more efficiently.
Through features such as leveraged positions and borrowing against existing prediction market tokens, traders can potentially unlock liquidity while maintaining their original market exposure. On the other side, lenders can supply USDC to the protocol's liquidity pool and earn from borrowing demand.
What makes the approach particularly interesting is how Lattica handles the risk associated with these positions.
Its WARHORSE risk engine is designed around the jump risk inherent in prediction markets. Rather than relying entirely on liquidations after collateral loses value, it assesses potential losses and incorporates risk premiums into the pricing of leveraged positions.
It's an important distinction because introducing leverage into prediction markets requires more than simply making additional capital available. The underlying risk needs to be understood and accounted for.
Prediction markets have made significant progress in creating new ways to trade information and real-world outcomes. The next stage of their development may depend just as much on the financial infrastructure supporting those markets.
And that's the space Lattica is positioning itself to build in.
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NFT applications & collabs are now closed. ๐
The allocation checker is live!
clover.family/cloverheads/chโฆ
All NFT applications have been reviewed, and approved applicantsโ wallets have been added alongside our collab giveaway winners.
A huge thank you to everyone who applied and every community and collaborator who supported Clover. Weโre excited to take this next step together.
Check your wallet, GTD / FCFS tier and number of spots before mint.
Community teams, please share the checker with your winners so everyone can confirm their allocation.
If your allocation is missing or anything looks incorrect, DM @cloverdotfamily with your wallet address and your application or community/giveaway details so we can review it before mint.
๐ค Made with AI
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Even without a presale, someone still decides how much reaches the auction.
@zerufinance is framing zETH as the first Activity Market
ethereum activity helps determine the supply, and the remaining tokens are offered through Uniswapโs Continuous Clearing Auction, where the market finds the price.
no presale-led allocation!
CCA is Uniswapโs own mechanism
bids are set with a budget and a max price, supply clears block by block at one price per block, and the auction seeds a v4 pool when it ends.
here's the thing: the auction doesn't determine the starting supply.
more activity burns more supply, so the number that reaches the auction is already smaller than the starting figure
the CCA then discovers a price for whatever is left.
that is different from an allocation list, but it is not the same as having no selection..
the early seats are still chosen by zScore and Zaps from onchain history
anyone can join the auction, but not everyone gets to shape the supply.
but does this actually broaden participation, or just give the same wallets a different way in?
join the miner race here: zaps.markets
๐ค Paid partnership
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the buyer pays for the result, not just the footage.
when a bounty is accepted on @vangrid_io, the winning capture goes through reconstruction and the requester receives a textured 3D mesh in GLB format.
the original video stays with the contributor
and reconstruction is already included in the bounty reward.
no separate payment, no second step for the requester..
it typically takes 30 minutes or more
that's a useful distinction!
Vangrid isn't just paying someone to record a place.
the contributor provides the capture, and the buyer gets a reconstructed model they can actually use.
๐ค Paid partnership
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how to join IPX FAN SZN and get your Fan Card
FAN SZN is live, with up to $100,000 in rewards. The sprint runs from November 5 to November 15.
the play: connect X > pick a fandom > take the Fan Check > claim your Fan Card.
first steps
Go to: fanszn.ipx.exchange/i/FAN-4Qโฆ
Connect your X account.
Pick one of the 12 available fandoms.
Answer the 7 Fan Check questions.
Claim your Fan Card.
the catch
Joining alone doesnโt put you at the top of the leaderboard. You still need to earn Aura through participation.
what not to do
Donโt just claim your card and disappear. Keep showing up and check the available quests.
Pick your fandom and letโs see who has the strongest fan base.
Reply with your Fan Card. I want to see what everyone picked.
bookmark this before you join.
@IPXExchange #FANSZN
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Let's look at an interesting example of revenue generation in advance of full infrastructure development.
Turtle's Q3 update shows:
They have generated $1.04M (Cash In, Net Interco) in Q3.
But this becomes more interesting when looking at the context.
This came from the provision of services and distribution for Turtle while they were building out their tools and infrastructure for the liquidity distribution model.
Three things stood out:
Hare launched with GSR (100M committed over multiple years), Creator Wire was delivered in late August and Streams became self serve.
These are some highlights showing parts of their infrastructure being developed while they werel providing services.
Also interesting to note that Hare and Lunar Strategy are the first external businesses using Turtle's tools.
This adds more depth to the revenue story. It demonstrates that they are building infrastructure that can support real businesses.
This is particularly relevant given the wider market context. Tokenised assets (excluding stablecoins) are now worth $46.1B (Nov 4). As this market continues to develop connecting tokenised assets to capital is a key piece of infrastructure.
What's interesting to see is how much infrastructure can be developed around distribution as more businesses start using it.
This is what I think is interesting to watch in @turtledotxyz 's Q3 report.
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๐๏ธ The Mountain is taking another step forward, and the Barn Sale is officially open for applications.
Only 1,000 Founding Barns are available, making this an interesting entry point into the Cashmere ecosystem.
Here's how the sale is structured:
โข GTD: 0.125 ETH
โข WL FCFS: 0.25 ETH
โข Public: Dutch auction starting at 1.5 ETH and gradually dropping to 0.25 ETH over 30 minutes.
One detail worth understanding: everyone participating in the public auction buys at the final clearing price, rather than paying different prices based on when they entered.
But why are Barns important?
They aren't just collectibles. Barns play a role in Mountain's mining economy, providing infrastructure where goats can be bound to participate in mining $CSM.
This connects NFT ownership, mining participation and the wider Mountain economic system.
The Barn Sale is an opportunity to explore the ecosystem from its foundation.
Applications are now open:
mountain.cashmere.exchange/rโฆ
Read the Mountain documentation:
docs.cashmere.exchange/mountโฆ
Let's see how high this Mountain can climb.
@CashmereLabs ๐
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Duelbits has launched Limbo a new original provably fair game.
You set a single target multiplier (anywhere from 1.01ร up to a maximum of 1,000,000ร). The game then generates one random result. You win only if that result meets or exceeds your chosen target; the payout is your stake multiplied by the target. Anything below loses the stake.
The win chance is displayed in the UI and follows the standard ~99 % RTP formula used on Duelbits originals:
- 100ร target โ 0.99 % chance
- 1,000,000ร target โ 0.000099 % chance
The release is supported by a short promotional video (showing the game interface, live win-chance numbers, player reactions, and the 1,000,000ร maximum) and a 48-hour giveaway from CEO Jasper: 10 players who reply with a win screenshot + their UID receive $50 each (even a 1.01ร win is accepted).
@Duelbits @DuelbitsJasper
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a shrinking supply doesn't automatically mean a wider community
@zerufinance is using Eth activity to rank zETH miners, with traders, creators and miners all part of the model.
more activity means more supply gets burned
but a study of 15.2M Pump.fun coins found that just 1% of creator addresses launched 39% of them.
when linked through shared funding, the top 1% of clusters accounted for roughly 53-59%
different chain, different activity, but worth asking..
how well can zScore distinguish independent users from wallets that belong to the same cluster?
the supply countdown is easy to see
whether the activity behind it is broadly distributed is a different question.
check where your history ranks:
zaps.markets/markets/zeth
๐ค Paid partnership
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I've been thinking about something while researching @termix_ai 's approach to autonomous agent workflows.
What happens when an AI agent needs specialized work done that goes beyond its own capabilities?
We don't know exactly how fast individual AI models or media generation tools will evolve. And I think that's precisely why expecting a single agent to handle end-to-end execution is risky.
This is where termix's architecture gets interesting.
Its trustless framework enables usersโor autonomous agentsโto submit requests for short-form video production directly to providers like Montage Studio, locking funds in escrow once a quote is accepted.
In simple terms:
-> The client agent submits a job request and locks payment in escrow.
-> The provider agent accepts the quote and executes the work.
-> Each layer can operate without requiring a complete system overhaul.
Of course, this doesn't mean multi-agent workflows are already fully friction-free. Standardizing verification and cross-agent coordination still require work. But I think there's a bigger lesson here.
Preparing for future threats or demands isn't necessarily about building one monolithic tool. It's about making sure your infrastructure can adapt when the assumptions change.
That's the part of @termix_ai's long-term execution strategy I find most interesting.
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"We found that the conversion in the audience that we get from the AI-assisted search is actually like four times more qualified of a buyer than just organic search."
- Bridget Ferris of @ElevenLabs on why the AI-recommended audience converts harder.
Five takeaways on the Craft blog: craftventures.com/articles/hโฆ
Follow @unpromptedcraft for early access to the next one.
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PPxPaperclip is live now!
private jet vibes this time.
if youโre on stake, drop your stake username under the post for a tip.
letโs see who gets lucky.
@PlayPaperclip x @pp_privatejet_2 ๐ซ
PPxPaperclip LIVE NOW!
๐๐ฌ Private Jet ๐ซ๐
Drop your Stake username for a tip #PPxPAPERCLIP
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1% of creator wallets launched nearly 39% of 15.2M meme coins
that number from a study shared by @zerufinance caught my attention
we talk a lot about community-driven launches
but how much control does the community really have?
that's what makes Activity Markets interesting to me
Zeru is trying to give verified onchain participants a role from the beginning
I like the direction, but whether it leads to fairer participation is still worth watching
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you can now turn a video idea into a finished production without coordinating every creative task yourself.
Montage Studio on @termix_ai takes your brief and brings together specialised agents for storyboarding, music, video production and editing.
each agent handles its part, while Montage Studio coordinates the work and puts the final result together.
i find the coordination more interesting than the video output alone. it shows how one agent can act as the buyer, delegate tasks to other agents and deliver a complete result.
if you have an idea youโve been meaning to turn into a video, this is worth trying.
Try Montage Studio and earn 5X TP:
agent.family/campaigns/montโฆ
๐ค Paid partnership
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buying an nft based on artwork alone can leave you missing important details.
collection supply, holder distribution and listing activity can give you more context before making a decision.
that's why i pay attention to the data available on @VelixoMarket.
these metrics don't guarantee an nft will increase in value, but they can help collectors understand what they're looking at.
the goal isn't to follow every number blindly.
it's to have better information before making a move.
i'll be watching how @VelixoMarket continues to develop its marketplace tools.
when you list an nft for sale, understanding how the marketplace handles your asset matters.
@VelixoMarket uses a non custodial approach, meaning users interact with the marketplace through their own wallets rather than depositing assets into a marketplace controlled wallet.
this distinction is important.
you should understand what permissions you're approving before signing any transaction.
convenience matters, but control and transparency matter too.
i'll be keeping an eye on how velixo continues to develop.
$VLX
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There's a difference between proving a capture hasn't been altered and proving it was genuine..
on @vangrid_io, the live verification process checks incoming captures
it creates a fingerprint containing the content hash, geohash and timestamp, then anchors it to Base through a Merkle tree.
but three important layers are still marked as not live!
-> hardware backed device attestation
-> sensor cross checks to catch spoofed locations
-> independent reviewers backed by collateral
honestly, that's an important distinction
the current fingerprint can help prove the data hasn't changed..
but it can't tell you whether the device was genuine or the location was real.
๐ค Paid partnership
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Before anyone places a bid, 732 of the 3,232 Genesis NFTs are already accounted for.
500 free mints go to whitelist members and nominees, gas only, one per approved account.
another 232 are reserved for the team
that leaves 2,500 NFTs for the sealed-bid auction in cZAMA, running until 15:30 UTC today.
bids stay encrypted until the auction closes
then the lowest successful bid that fills the supply sets the final price, and every winner pays the same amount.
anything above that price gets refunded
unused free mint spots aren't added to the auction, either..
so the number of NFTs being sold is fixed.
what's still unknown is what buyers are willing to pay.
๐ค Paid partnership
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What happens when an AI agent becomes a customer instead of just a service provider?
That's an interesting direction emerging in the agent economy.
Consider Montage Studio, recently showcased by @termix_ai.
A user provides a creative brief, and the coordinating agent takes it from there.
It prepares the treatment and shot list, then hires other agents to handle different parts of production:
โข Storyboard creation
โข Video generation
โข Music composition
It then brings those outputs together into a finished video.
What's interesting isn't just that AI can now assist with video production.
It's the fact that one agent can coordinate and pay other agents to complete a larger task.
This introduces a different model of digital commerce.
Instead of a single agent trying to handle every responsibility, specialized agents can provide individual services and collaborate through a shared workflow.
But that creates some important requirements:
Who establishes the terms of each job?
How is payment secured?
Who verifies that the delivered work meets the requirements?
And what happens when there's a disagreement?
These are the kinds of problems @termix_ai is addressing through AACP, its Agent Autonomous Commerce Protocol.
With job coordination, escrow settlement, delivery verification, and reputation mechanisms, TermiX is building infrastructure for agents to transact with one another.
I think agent-to-agent commerce is one of the more interesting developments to watch in AI.
The real shift might not be agents doing more tasks independently.
It might be agents building entire service networks by hiring one another.
That's when the agent economy starts becoming a much more interesting concept.