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the difference with @zerufinance is simple.
most launches give early people an allocation.
zeth gives them a market.
it's built around ethereum activity. wallets with verified onchain history earn miner rights and contribute to supply burns.
the rest goes through an open auction. market sets the price. not the team. not a whitelist.
you're not farming an allocation.
you're shaping the market before the auction opens.
miner race is still live. check where your ethereum history ranks 👇
zaps.markets/markets/zeth?in…
---
rarelist.io/projects/onlystr…
New campaign
onlystreets.fun is coming soon on Solana.
A one-of-a-kind launchpad for coins born from real-life moments.
Every coin starts with a fresh photo taken directly in the app. No gallery uploads are allowed.
CT deserves the next wave of authentic memecoins.
8
🇻🇳🇯🇵 Kai | Web3 retweeted
onlystreets.fun is coming soon on Solana.
A one-of-a-kind launchpad for coins born from real-life moments.
Every coin starts with a fresh photo taken directly in the app. No gallery uploads are allowed.
CT deserves the next wave of authentic memecoins.
🇻🇳🇯🇵 Kai | Web3 retweeted
AI is becoming the major narrative of this cycle, but there's an interesting question: if AI can create content on its own, can humans help it learn how to create something truly engaging?
That's what makes $SAI worth paying attention to.
SAI stands for Super Artificial Intelligence. The project's idea goes beyond just a meme coin called AI. They're building a social network dedicated to AI, where AIs can create content, interact, and learn from human reviews and predictions.
One point I find particularly interesting is the prediction mechanism. AI creates content, the community predicts which content will go viral, creating a competitive environment between AI models.
Beyond narrative, $SAI also announced a fair launch with a total supply of 1 billion, 0% buy/sell tax, and 0% team allocation.
Today's meme, tomorrow's application. SAI is aiming to combine two things the market is interested in: AI and meme culture.
I think this is a campaign worth watching, especially since the beta app already has 1,000 participants.
Do you think future AI will compete with each other based on content creation capabilities, or on understanding what people want to see?
@sai_superai @NEXST_AI @thecreatorfi
🤝 Paid partnership
🇻🇳🇯🇵 Kai | Web3 retweeted
most people in this space are still trapped in the loop of farming inflationary tokens that print fake yield just to keep the music playing for another week
the actual endgame has always been boring stuff that generates real cashflow
looking at zEMS from @ZIGFinance and the mechanics are wild when you strip away the noise. institutional credit with Laser Digital advising the framework, targeting 100m in Saudi SME debt on BNB Chain with zero emissions paying the yield. actual businesses making repayments in the real world
what catches my eye is the loop on $ZIG. protocol takes revenue from real loan volume and routes it into open market buybacks instead of dumping incentives. already millions bought back off roughly 100m active capital, so doubling that footprint makes the math interesting
everyone wants to pretend #RWA is complex narrative games but at the end of the day it just comes down to who controls actual cashflow rails
Introducing zEMS.
Saudi SME private credit onchain, launched with @LaserDigital_, Nomura’s digital assets subsidiary, as risk framework advisor.
Saudi SMEs face a financing gap of more than $80 billion. zEMS opens a new onchain access point to that market: a diversified pool of Saudi SME financing, delivered as a single token on @BNBCHAIN.
Saudi Arabia is the first market.
🇻🇳🇯🇵 Kai | Web3 retweeted
Institutional capital staying offchain isn't just about regulation or yield. The bigger roadblock is transparency. No serious fund or enterprise can operate when every balance, counterparty interaction, and treasury move is public knowledge to competitors.
Fixing this requires more than simple mixers. It needs a coordinated privacy stack, which @HouseofChimera has been actively mapping across multiple infrastructure layers:
• Confidential execution layers so sensitive logic stays protected
• Zero knowledge identity frameworks that satisfy compliance without exposing transaction history
• Intent based routing where execution details remain private until settlement
Crypto spent years treating privacy as an isolated feature rather than basic market infrastructure. If onchain finance wants real world adoption from institutions, privacy has to be native at the stack level rather than an afterthought bolted on top. Getting these infrastructure teams aligned is how that foundation actually gets built
HOC & Frens MEGASPACE: The Privacy Stack 🔒
🔹 20 teams. 3.5 hours. One stack.
🔸 @near_intents, @0G_labs, @Dashpay & more, supported by @aelo_xyz
🗓 Mon, Nov 16
⏰ 1-4:40 PM UTC
Drop your questions below. We'll get them asked live!
Set a reminder 👇
xitter.twitterapi.xyz/i/spaces/1KoXKAzlgXKXB…
🇻🇳🇯🇵 Kai | Web3 retweeted
Most young protocols burn runway while building out their core tools.
Turtle took a different path by delivering services and distribution to fund its own development.
According to their latest update, Turtle generated $1.04M in revenue in Q3 across Turtle and Lunar Strategy, measured on a cash-in basis and net of intercompany transactions.
During this period of revenue generation, Hare launched with GSR committing 100M over several years, Creator Wire shipped, and Streams shifted to self service.
This revenue serves as proof of demand for the infrastructure @turtledotxyz is building to connect capital with onchain assets.
Tokenized assets other than stablecoins reached $46.1B on 4 November, highlighting the growing requirement for reliable liquidity distribution rails.
The $TURTLE token provides coordination access across the network, operating independently from protocol revenue distribution.
Read the full Q3 breakdown here: xitter.twitterapi.xyz/turtledotxyz/status/21…
🇻🇳🇯🇵 Kai | Web3 retweeted
今日交易测试 @XStableAI
本次测试内容包含：模拟交易——仓位设置——入金速度——实盘交易——以及平台整体使用流畅度
先来谈谈我的看法：
XStable CP正式上线
我第一反应不是冲积分
而是先看两件事
新手能不能真的用起来
AI原生交易到底能不能落地
我的判断很简单
CP是入口
产品体验和可程序化执行才是留存关键
平台约定收入的20%分给符合条件的CP参与者
这说明它想把交易者贡献和平台增长绑在一起
但用户最后留下的原因还是取决于好用和能自动化
先说产品体验和新手路径
新手我建议这样体验
先用 Google 账户或加密钱包登录
先开模拟账户
把下单 杠杆 止盈止损 持仓管理跑一遍
再用 USDT 或 USDC 小额入金
去 Points 页面看看CP记录和规则
邀请加成5%怎么算
亏损积分补贴最高100%怎么分档
都需要先了解清楚
我个人最看中两点
一是多资产同屏
黄金 白银 主要外汇 纳斯达克100 BTC ETH 能放在一个界面看
做CPI FOMC 非农前后的跨市场观察会方便很多
二是模拟盘加积分记录
适合先练流程再上真实仓位
容易误会的点
亏损积分补贴最高100%
不是现金补偿
更不是保本
它更像给学习曲线加一层积分缓冲
先小仓位试错
记录每笔交易的保证金占比和亏损档位
我认为比单纯刷积分更有价值
杠杆会放大情绪
止盈止损和仓位管理必须先练熟
===================
再说AI原生基础设施和自动化交易
很多平台都说自己有API
但我更看重执行闭环
行情 K线 品种精度 杠杆规则
账户余额 持仓 下单撤单 平仓 止盈止损调整
这些能不能通过REST API和WebSocket串起来 ？
能不能让量化策略和AI Agent真正调用 ？
这比界面好不好看更为关键（这才是吸引真实交易用户的点）
未来我会关注三类应用
宏观事件 Agent
读取经济日历和XAUUSD EURUSD Nasdaq100实时行情
在数据公布前后按预设风险参数生成计划并执行
跨市场对冲 Agent
盯黄金 美元 纳指之间的联动
做风险预算而不是拍脑袋
策略和跟单工具
当策略工具跟单交易和AI原生交易逐步完善
普通用户也可以更透明地复用策略
重点来了
我完成了我自己的策略
先跑了一圈模拟盘
看看我的仓位设置
大约用30%的仓位来跑，止盈在130%左右，止损在30%-50%之间
模拟和实盘基本是一样的设置
对于入金和平台使用体验感来说的话
我点个大大的赞
站在个人的角度，我是比较喜欢的
入金速度快，平台使用流畅，特别是开单之类的
对于出金的话，我也试了一下
视频里也可以直观的看到我是出了差不多15u左右
到账14.01，那么手续费的话，应该是扣了差不多接近1u左右
这点其实我比较疑惑，提现他是无论任何金额都扣1U？
还是说按照提现的比例来扣？
我提现了15U，扣了1u左右，那么按照我个人的看法来说应该是提现的话都要收1U手续费。（这点我还要去证实一下）
我的观点是
AI原生交易基础设施的竞争点
不只是能不能接API
而是报价透明
链上出入金可查
提款回自己钱包
风控接口完整
这些细节才是决定用户敢不敢把交易交给系统的根本原因
感兴趣的可以去官网了解一下
官网xstable.ai
积分 xstable.ai/points
@XStableAI #XStable #CP #AITrading #RWA #Gold #FX
推文仅做测试分享/非投资建议
参与前读懂官方规则 注意杠杆风险
🤝 Paid partnership
🇻🇳🇯🇵 Kai | Web3 retweeted
If you want to prove your exchange PnL, you usually post a screenshot.
Anyone can edit a screenshot. Change a number, crop a line, and nobody can tell.
@primus_labs has a tool for this called zkTLS.
Every site with the lock icon in your browser sends data through TLS. zkTLS takes the data from that same connection and turns it into a proof that it really came from the site.
The useful part is what the proof leaves out. It can confirm one fact about your data without showing the rest of it.
Back in 2025, Primus proved 24h, 7d and 30d PnL from Binance for Tickr, and nobody had to hand over API keys.
The points page checks your tasks with zkTLS too. When you verify a task there, this is the tech doing the check.
So the next PnL screenshot you see could have been a proof instead.
Check campaign: s.kaito.ai/1nwxVW8
🤝 Paid partnership
🇻🇳🇯🇵 Kai | Web3 retweeted
A prediction market gives you a probability. Deciding what to do with it is the harder part.
That's what I'm watching with @meetmotes . Each Mote is an NFT tied to its own AI agent and smart account, and that agent is designed to analyze markets, evaluate probabilities, and execute supported strategies on Polymarket.
Two details matter to me. First, the agent isn't a shared tool. It belongs to the Mote, so it works for the owner, within the permissions the owner sets. Second, the word "supported" carries real weight here. It points to a defined scope, not an agent that can do anything, and how much of it is live depends on the rollout.
I read this less as a trading pitch and more as a test of the whole idea: can an NFT carry an identity that actually does work?
🇻🇳🇯🇵 Kai | Web3 retweeted
Attention is cheap to produce. Activity usually isn't.
@zerufinance 's latest update draws a line between InfoFi, which rewards social attention, and what it calls ActivityFi, which rewards onchain action: trading, providing liquidity, contributing to protocols.
The cost difference is the part I keep thinking about. A like costs nothing. A trade costs fees and puts capital at risk. Zaps campaigns remove self-trades, matched wash trades and instant round-trips, which are the cheap imitations of activity.
When I looked at the Ditto leaderboard mid-campaign, zaps tracked volume at roughly $100 each for almost everyone in the top 10. You could check the math with a calculator. That's rare in a reward system.
Attention still helps information spread. But if a program pays for a number, I want to see where the number comes from.
Where do you draw the line between attention and activity?
Check your own wallet's numbers here (my invite link): app.zaps.wtf/?invite=qa12cq5…
🇻🇳🇯🇵 Kai | Web3 retweeted
noticed the notifications for fills and cuts...
while running paper on @agenticscredit this morning.
got a ping when the Risk Engine cut size...
after a small drawdown.
same activity still updated the ACS...
and kept adding to the $CREDIT balance.
nothing of mine at risk...
looked at the Telegram section on the Agents page after.
notifications for fills, cuts and cooldowns are listed right there...
different from checking the dashboard every time.
do the cut and cooldown alerts actually come through fast enough to matter...
or do you mostly just open the app later on @agenticscredit?
🇻🇳🇯🇵 Kai | Web3 retweeted
Wow, this is the first time I've seen a wallet turn an airdrop into a live treasure hunt.
1 BTC first, then 1 ETH. The clues are revealed live, and anyone can join the challenge.
Follow @RewardyJapan , watch the livestream and see if you can crack the 12-word phrase before anyone else.
Who's ready to hunt?
HACK IT. CLAIM IT. 🔐
1 BTC first. 1 ETH next.
Unlock the reward wallet, and the reward is yours.
We’re revealing the reward wallet’s 12-word recovery phrase in sequence, live on YouTube.
Follow the clues, complete the phrase, and access the wallet.
1️⃣ Stage 1 | 1 BTC · Up to 7 days
Clues will be revealed on Days 3 and 6.
2️⃣ Stage 2 | 1 ETH · Up to 14 days
After Stage 1 ends, the reward changes to 1 ETH. We’ll continue revealing the remaining words at least once every two days.
Exact reveal times will not be announced in advance. Watch the livestream for the countdown, current stage’s wallet address, and words revealed so far.
We reveal the clues.
The solution is yours to find.
📺 Watch live.
🔗 youtube.com/live/H6_C7fjMcgU
🇻🇳🇯🇵 Kai | Web3 retweeted
Imagine backing a view on gold, an IPO, or the next political headline using USDST, the same stablecoin people already mint against supported collateral on @strato_net.
That is the setup now that @Strato_Odds is live, and looking at how the pieces fit together ahead of the $STRATO TGE gives a fuller picture than the headline numbers suggest:
Assets: GOLDST and SILVST put precious metals onchain, and in DefiLlama’s Gold & Commodities category STRATO ranks #3 by DeFi Active TVL, behind Tether and Paxos.
Credit: USDST can be minted against supported collateral, and DefiLlama shows about $4.69M in active loans, a good sign that these assets are being put to work.
Markets: STRATO Odds lets you back YES or NO in USDST across gold, silver, crypto, stocks, IPOs, politics, and culture, with right answers paying 1 USDST each, and Volume Rush II is live now.
Network: $STRATO is designed for staking and validator participation on the chain that runs all of it.
What I like most is how naturally these layers feed each other, because Odds settles in the same USDST used for borrowing and savings, so every new app gives the assets and the stablecoin another place to be useful. It is the HardFi vision taking shape, built by a team that has worked on Ethereum infrastructure since 2014 and has Joe Lubin as an advisor.
It’s still early, so borrowing comes with fees and liquidation risk, an Odds position can be lost if a market resolves the other way, and none of this is a view on where $STRATO trades, but the direction of the build looks encouraging to me.
stratoodds.com
🇻🇳🇯🇵 Kai | Web3 retweeted
A score tells you less than you think. A score and a count tell you a lot more.
Say I'm hiring an agent for a research job. Two candidates. One has a reputation score of 91, the other 84. I'd pick the 91 without thinking.
Then I look at the rest of the row. The 91 has finished 4 jobs. The 84 has finished 300.
On @termix_ai, per the docs, reputation is a 1–100 score written onchain by the escrow and bounty contracts when a job settles. The agent can't edit it. It's built from completed and disputed order counts, and smoothed against a baseline, so one lucky order shouldn't swing it. A lost dispute counts against the score.
The agent explorer shows the score next to completed jobs, pass rate and stake. That combination is the useful part. Score alone is a headline.
The docs also give a rough guide: 80 and above is high, 50 to 79 medium, below 50 low.
I think about this because of my own Kaito mindshare. Some of my posts got good engagement, and the number still barely moved. I can't see inside how it's calculated. Onchain reputation is the opposite: the formula is in the whitepaper and the inputs are public.
My test for any reputation system: can I see what created the number, not just the number?
I haven't used agent.family yet. Next I'll look at a few real agent records and see how many have more than a handful of completed jobs.
🇻🇳🇯🇵 Kai | Web3 retweeted
Applied to @kitthecalico presale
Not an NFT this time, @kitthecalico is a cat meme presale on BNB
Connect X and a wallet at kitvoyage, then lock 0.05 to 0.5 BNB
Team reviews every application by hand
Points come from daily meme stamps and 35 per referral
Top 5 on the board get a 5x allocation, so farmers win over quiet holders
Rejected wallets can claim the full deposit back
Account is one month old and already reverted test points
Reading the refund page twice
kit.voyage/pass/kaibgr?lang=…
Welcome to the kit.voyage station 🎫
Kit is a calico that travels with a bear weighing down his shoulders, focused on heading to the attention bagworker economy 🐈
Here’s how to board 🧵
🇻🇳🇯🇵 Kai | Web3 retweeted
A capture request is also a specification of what the buyer considers valuable.
When creating a bounty on @vangrid_io, the buyer needs to define the location, capture requirements, and reward clearly enough for contributors to respond.
I think this is an underrated part of spatial data marketplaces. If the request is vague, even a technically good submission can fail to solve the actual problem.
Better instructions don't just help contributors. They reduce wasted review time and make the final result more predictable.
The quality of a dataset often starts with the quality of the question.
Collecting footage is only one part of delivering a 3D asset.
With @vangrid_io, bulk captures still need GPU capacity for reconstruction. Once a scene is ready, it can move to the buyer's payment stage, but limited processing capacity means some items may have to wait in a queue.
I think this is an important operational detail for businesses planning large spatial data orders.
A marketplace can attract plenty of contributors, but reliable delivery also depends on the infrastructure processing everything they submit.
Scaling the supply of footage and scaling reconstruction capacity are two different challenges.
🇻🇳🇯🇵 Kai | Web3 retweeted
Would you trust an agent with a 90% win rate if its losing trades were huge?
That's why I find the scoring design of @agenticscredit more interesting than a simple win-rate leaderboard.
Its ACS considers several dimensions, including profitability, drawdown, consistency, longevity, and win rate. Win rate accounts for only 15% of the published factor weights, while profitability and drawdown each carry 25%.
That sends a useful message: winning often isn't enough if the losses are poorly controlled.
For autonomous trading, survival and consistency deserve as much attention as being right.
An API key should never become a permanent, unlimited permission.
One security detail I like in @agenticscredit is that partner keys are individually managed, revocable, and subject to their own rate limits.
That gives each integration a separate access boundary. If one partner's key needs to be disabled, it doesn't mean every other integration has to be affected.
For financial infrastructure, this kind of operational control matters just as much as the scoring model itself.
Good security isn't only about preventing unauthorized access. It's also about being able to contain a problem quickly.
🇻🇳🇯🇵 Kai | Web3 retweeted
I checked @onlystreetsfun today and the idea is simple: take a real photo, name it, and turn it into a coin.
No gallery uploads, no copied memes,just moments from real life. That is what makes it different from most launchpads.
It is now live on @rarelistio , so I’m taking a closer look.
🇻🇳🇯🇵 Kai | Web3 retweeted
A bigger bag can lose to a longer calendar.
That is probably the most interesting thing about Pre-Mainnet Staking.
People naturally look at the amount first. 1,000 GEN sounds more impressive than 100 GEN. But the way Staking Points work makes you look at the calendar too.
Every GEN you stake earns 1 Staking Point per day. Same rate for everyone.
Here is where the maths gets interesting:
100 GEN staked for 30 days = 3,000 Staking Points.
1,000 GEN staked for 2 days = 2,000 Staking Points.
The smaller position comes out ahead because it had more time to accumulate points.
I like this because it changes the question from how much GEN can you put in to how early are you willing to start.
There is another detail worth knowing. If you received a GEN airdrop, it counts as staked automatically from THE DAY, even if you have not claimed it yet. Those days are already counting.
Your progress is visible on the public GenLayer Portal leaderboard, which keeps moving until the mainnet snapshot. Node seats are distributed proportionally to Staking Points, and eligible participants can become Foundation-backed validators.
So the clock is not just passing while you wait. It is part of the calculation.
@GenLayer
Would you rather start with a smaller amount early, or wait until you can stake a much bigger bag?
🤝 Paid partnership
