Tangerine

BUIDL, ex-mkt lead @aveai_info, ex-product @wallet, Alum HKU

[Tangerine @IslandCraftor]

https://t.co/EEVyVFJK00

[Dr. 67. Pump @real_dr_pump]

建议 $BLINK 项目方入选区块链天才 dev 计划

$BLINK 号称自己是只能通过 @fomo 交易

本质上是在合约里加一个tranfer()的 gateway，只有 tx.origin 是 @RelayProtocol 的地址才可以。

也难怪有老外都喷 @fomo 是一个 vibe coded @RelayProtocol 包装器🤣

https://t.co/3Ju1O1TROf

[Tangerine @IslandCraftor]

@lilk1kopops 我的za也被审核了，一个多月了，也是因为bpay出金

[Choice.markets @choice_markets]

Community AMA this week:

What does “contract spirit” really mean when projects & KOLs?

Open discussion with facts and evidence.

All welcome. Details soon.

[Tangerine @IslandCraftor]

最近在 @BitgetWalletCN 上玩喊单赛

关注了好多kol的喊单数据源，比如橙子社区，奶牛，区块日记等，有几千个kol都被蒸馏成了agent在喊单，和推特/tg喊单数据 90%相似，真实可信

目前喊了40个币，战绩平均倍数1.83x，可查，欢迎大家来bgw关注我

[Lacie @Laaaaacieee]

PM同事说我成公主👸啦🥰🥰🥰

未来一个月有好CA请大家丢给我！迫不及待参与一下了🤩

以及有没有线下见过我的铁铁来说说跟真人相符吗🌚

[Tangerine @IslandCraftor]

同意 @wsjack 的看法，预测市场的event&market检索是目前缺失的但是很重要的一环

各个预测市场独立且割裂，高价差，流动性参差不齐，每个市场的规则略有不同，如果有一套规范化的类似于ethscan一样的检索平台，把每个市场的ca和相关数据对齐，基于这个标准，所有的bot，交易工具，数据平台才能够蓬勃发展

才能真正意义上迎来预测市场的“pumpfun时刻”

再延伸一下，预测市场的ca或许可以成为真的的可以交易的“代币ca”呢？最近深有感触，不管什么平台，针对于长尾的市场，每个独立市场其实可以足够下沉，在社区中作为一个“群车”标的，才能在冷启动阶段带来健康可持续的交易环境。这一点也是pm kalshi这些平台至今还没有覆盖到的品类

再以此拓展，是否可以支持每个市场发币呢？最近聊了一些盘主，发现大家普遍对于—把预测市场和某个标的强绑定，分息，质押，返佣等玩法是可以刺激这个市场标的在前期有更好的流动性。以及社区长和标的代币的利益绑定，也会自发的邀请更多用户参与

有点类似于给预测市场“加池子”，让买标的ca的用户可以一鱼两吃，代币手续费（可以略高）和预测市场手续费

其实在盘圈玩的预测市场上已经能看到这个影子了，但要真正mass adoption到所有用户，更简单清晰和巧妙的规则仍然有待被探索

[wsjack 🇭🇰 ｜𝟎𝐱𝐔 @wsjack]

Prediction markets need their own CA, and they also need their own Scan.

Over the past couple of days, I spent some of my spare time outside work building a small product with OpenAI Codex in ChatGPT Pro: MarketScan.

The reason I built it is that I increasingly feel products like @Polymarket and @predictdotfun should not only be understood as “prediction market exchanges.” In the long run, they may look more like base-layer infrastructure: providing markets, liquidity, settlement, and fee models. Their role may be closer to a public chain, a DEX, or a prediction market protocol.

In crypto, many core capabilities of public chains and DEXs live in the backend: asset issuance, liquidity pools, swaps, LP fees, protocol revenue, and so on. But the products users interact with most often are not always the official protocol frontends. They are third-party trading tools and wallets like https://t.co/dODPJ5dWXt, GMGN, Axiom, OKX Wallet, Binance Wallet, etc. These products wrap underlying liquidity with better data, better UX, and stronger trading workflows.

I think prediction markets may evolve in a similar direction. Platforms like Polymarket and https://t.co/NmQMMuolQq may increasingly become providers of markets and liquidity, while the upper layer will have more personalized frontends: copy-trading tools, smart-money tools, AI agent trading tools, group bots, dashboards, and vertical prediction market terminals. Especially in the AI era, everyone may be able to build their own preferred trading interface with AI. Frontends will become more customized, while the underlying platforms become more protocol-like.

MarketScan itself is a small example of this thesis. I am not a full development team, and I am not working on this full-time. I just used spare time and AI coding tools to build a prediction market information tool that I personally felt should exist.

If this is the direction, prediction markets should not rely only on “links” as their main format for discovery and distribution.

Why do meme coins spread so fast in communities? One important reason is the CA. A contract address is plain text. It can be copied, forwarded, searched, tracked, and recognized by wallets, bots, market tools, and trading frontends.

By contrast, prediction markets today are still mostly shared as “a Polymarket link” or “a https://t.co/NmQMMuolQq link.” Links are not ideal in WeChat groups, QQ groups, Telegram, comment sections, and similar environments. They can be collapsed, filtered, blocked, or simply inconvenient to search again later. More importantly, relying on links also creates security risks, since malicious or poisoned links have become a common phishing and scam vector.

But prediction markets already have similar low-level identifiers: condition IDs, event slugs, market slugs, and market IDs. These identifiers correspond to each event or market. In particular, the condition ID is closer to the on-chain identity of the smallest tradable unit.

That is why I built MarketScan.

MarketScan currently integrates Polymarket and https://t.co/NmQMMuolQq. You can search for a market using three types of input: a link, a slug, or a condition ID. MarketScan automatically detects the input and locates the corresponding event or market. It shows basic information, odds, Yes/No data, platform source, market ID, condition ID, event slug, market slug, original links, and other common identifiers. Everything important is copyable with one click.

I also built ranking features into it. You can browse trending events and markets across different platforms, such as the hottest topics, highest-volume markets, popular markets, and markets with significant probability movement. So it is not only a lookup tool, but also an entry point for discovering active prediction markets.

If Etherscan made addresses, contracts, and transactions readable, searchable, and shareable, then MarketScan is my attempt to make every prediction market event, every market, and every condition ID readable, searchable, and shareable as well.

I believe the next stage of prediction market growth will not only come from official trading pages. It will also come from more open data layers, richer third-party frontends, and better tools for community distribution and AI-native workflows.

MarketScan is my small experiment in that direction.

Welcome to try it out. Feedback is very welcome, especially on what information tools prediction markets still need.

[wsjack 🇭🇰 ｜𝟎𝐱𝐔 @wsjack]

Prediction markets need their own CA, and they also need their own Scan.

Over the past couple of days, I spent some of my spare time outside work building a small product with OpenAI Codex in ChatGPT Pro: MarketScan.

The reason I built it is that I increasingly feel products like @Polymarket and @predictdotfun should not only be understood as “prediction market exchanges.” In the long run, they may look more like base-layer infrastructure: providing markets, liquidity, settlement, and fee models. Their role may be closer to a public chain, a DEX, or a prediction market protocol.

In crypto, many core capabilities of public chains and DEXs live in the backend: asset issuance, liquidity pools, swaps, LP fees, protocol revenue, and so on. But the products users interact with most often are not always the official protocol frontends. They are third-party trading tools and wallets like https://t.co/dODPJ5dWXt, GMGN, Axiom, OKX Wallet, Binance Wallet, etc. These products wrap underlying liquidity with better data, better UX, and stronger trading workflows.

I think prediction markets may evolve in a similar direction. Platforms like Polymarket and https://t.co/NmQMMuolQq may increasingly become providers of markets and liquidity, while the upper layer will have more personalized frontends: copy-trading tools, smart-money tools, AI agent trading tools, group bots, dashboards, and vertical prediction market terminals. Especially in the AI era, everyone may be able to build their own preferred trading interface with AI. Frontends will become more customized, while the underlying platforms become more protocol-like.

MarketScan itself is a small example of this thesis. I am not a full development team, and I am not working on this full-time. I just used spare time and AI coding tools to build a prediction market information tool that I personally felt should exist.

If this is the direction, prediction markets should not rely only on “links” as their main format for discovery and distribution.

Why do meme coins spread so fast in communities? One important reason is the CA. A contract address is plain text. It can be copied, forwarded, searched, tracked, and recognized by wallets, bots, market tools, and trading frontends.

By contrast, prediction markets today are still mostly shared as “a Polymarket link” or “a https://t.co/NmQMMuolQq link.” Links are not ideal in WeChat groups, QQ groups, Telegram, comment sections, and similar environments. They can be collapsed, filtered, blocked, or simply inconvenient to search again later. More importantly, relying on links also creates security risks, since malicious or poisoned links have become a common phishing and scam vector.

But prediction markets already have similar low-level identifiers: condition IDs, event slugs, market slugs, and market IDs. These identifiers correspond to each event or market. In particular, the condition ID is closer to the on-chain identity of the smallest tradable unit.

That is why I built MarketScan.

MarketScan currently integrates Polymarket and https://t.co/NmQMMuolQq. You can search for a market using three types of input: a link, a slug, or a condition ID. MarketScan automatically detects the input and locates the corresponding event or market. It shows basic information, odds, Yes/No data, platform source, market ID, condition ID, event slug, market slug, original links, and other common identifiers. Everything important is copyable with one click.

I also built ranking features into it. You can browse trending events and markets across different platforms, such as the hottest topics, highest-volume markets, popular markets, and markets with significant probability movement. So it is not only a lookup tool, but also an entry point for discovering active prediction markets.

If Etherscan made addresses, contracts, and transactions readable, searchable, and shareable, then MarketScan is my attempt to make every prediction market event, every market, and every condition ID readable, searchable, and shareable as well.

I believe the next stage of prediction market growth will not only come from official trading pages. It will also come from more open data layers, richer third-party frontends, and better tools for community distribution and AI-native workflows.

MarketScan is my small experiment in that direction.

Welcome to try it out. Feedback is very welcome, especially on what information tools prediction markets still need.

[Choice.markets @choice_markets]

Will Star publicly apologize to CZ?

Install Choice Markets In Chrome Store👇
https://t.co/TyK3rhIcKu

[Tangerine @IslandCraftor]

@Crypto_Cat888 ddd爱呜呜可以的

[Tangerine @IslandCraftor]

@dogbp89253 @AveaiGlobal @aveai_info 什么意思🤣我就买了一点

[Tangerine @IslandCraftor]

最近看到$爱呜呜 涨的很好看，gate抹茶也都上了这个币，真的蛮开心，也买了一些支持一下，顺便想给大家科普一下这个吉祥物：

我应该是 $爱呜呜 最早的提案和发起者，是在2025年1月份时候，当时还在 @AveaiGlobal @aveai_info ，最开始萌生的idea，最最开始我的初心是希望做一套16人格的吉祥物，去适配所有不同性格和交易风格的meme trader，最终选定了这个眼镜狗的形象

随后利用这个形象和小眼睛的风格，ave吸引了上千名英文区大使和合作kol，也算一个很标志性的实用吉祥物了

你想到在从ave离开接近1年之后，这个形象有意外火起来了🤣，

在我眼里，$爱呜呜 继承了战壕p小将坚韧不拔和随机应变的意志，不管你是什么风格，在这里，你都能找到属于你自己的16人格并且拿到大结果。

你可以钻石手可以重仓可以只冲内盘，更关键的是，你有自己的思考和想法，以及你的交易审美和原则。而非循规蹈矩跟着车头模仿他们的风格才能赚到大钱

虽然最近市场情绪一般，但还是很开心之前我很坚持的一个小创意能被大家认可成为宝贵的meme文化遗产。

祝 @wsjack jack 老板Ave大卖👍👍

也希望大家都能在meme里玩的开心

[Tangerine @IslandCraftor]

@aveai_info @AveaiGlobal 做大做强：）

[Hodlo AI @hodloai]

让社区再次伟大

Community，这个词，在华人和西方 Crypto 世界里，始终都被摆在最高的位置。

项目方张口闭口说“为了社区”，
交易所口口声声说“保护社区”，
KOL 也总爱把“带领社区”挂在嘴边。

可现实是什么？

社区一次又一次被背叛。
明明是加密世界最核心、最重要、最真实的一群人，却总是处在食物链的最底端。
被利用，被收割，被牺牲。
更讽刺的是，收割完之后，居然还有人回过头来轻蔑地说一句：你们这些韭菜，活该。

这不对。
这个世界不该这样运转。
毛主席说：历史是由人民创造的。
而加密世界，也从来不是由台上的人创造的，而是由社区创造的。

没有社区，就没有叙事。
没有社区，就没有流动性。
没有社区，就没有传播、没有共识、没有市场，什么都不会有。

所以，社区理应被尊重。
社区理应拿到更大的蛋糕。
社区不该永远只负责买单，却永远没有分蛋糕的资格。

过去一年，https://t.co/BcUfKD0yqa 为了这件事，投入了上百万资金。
但我们没有向社区索取分毫。

我们做的，其实只有一件事：

让社区再次伟大。

因为只有重新服务好社区，加密世界才有可能回到正轨。
否则，这个行业就只会继续滑向另一个方向：上位者靠信息差、话语权和操控力攫取利益，社区则不断为这一切埋单。

社区要维护自己的利益，第一步，是先意识到一件事：

社区本身就是价值。
而且，很可能是整个加密世界里最被低估、却最有价值的一环。

社区不是项目方的垃圾桶。
社区应该是项目方的座上宾。

而 https://t.co/BcUfKD0yqa，大概率就是整个加密世界里，拥有最多社区覆盖的平台之一。

这一次，我们借助 AI，系统分析了海量社区的活跃度、成员构成、讨论质量、胜率表现等多项指标，并通过我们自己的算法，首次给群组做出“估值”。

结果远比我们想象得更夸张。

很多群组的质量，远远高于外界的认知。
它们不是“散户聚集地”，不是“情绪垃圾场”，而是拥有高密度信息、高强度协作和高价值判断力的真实资产。
其中相当一部分群组，完全可以达到上千万级别的估值。

当然，群估值是我们提出的一个新概念。

你可以把它理解为：
如果一个新人，能够持续跟随群里的高手进行交易决策，1 万 U 在一年之后，也许有机会走到 1000 万 U 的量级。

你也可以把它理解为：
如果把一个优质群组里那些成员的集体智慧、判断能力和信息处理能力，整体打包成一家公司，它本身就足以支撑起上千万美金的价值。

社区维护自身利益，第二步，就是学会向项目方据理力争。

为什么空投分配总是不公平？
为什么 KOL 发一条广告，就能轻松拿走几千 U、几万 U？
为什么一堆机器人、“嘴撸号”、时间线污染者，反而能分走最大的利益？

真正创造价值的人，长期失语。
真正维持生态热度的人，长期被忽视。
真正承担风险的人，长期得不到回报。

社区在这个维度上，太久没有人为自己说话了。

所以我们想做点事情。
不是再制造一个口号，不是再复制一套叙事，而是帮社区去争取那些本该属于社区的、实实在在的利益。

因此，我们做了奖励中心。

我们希望把一个个分散的社群，连接成真正有力量的联合体。
让社区不再是各自为战，不再只是被动接受分配，而是能以组织化、规模化的方式，倒逼项目方把那块原本就该属于社区的蛋糕，重新拿出来。

目前，我们已经上线了返佣板块，先从最直接、最现实的利益开始，让用户真正减少交易手续费的开销。
接下来，我们还会陆续上线更多与空投、福利、激励相关的板块。

我们欢迎愿意真正让利于社区、愿意和社区一起成长的项目来找我们合作。

我们只是一个小团队。
但我们相信，自己做的是对的事。

我们还有几款新的 AI 产品正在开发。
接下来，请看我们怎么继续把这件事做下去。

让社区再次伟大。
https://t.co/I7t3Cv3HqS

[堂吉诃德🦩 @Doflamingo_bin]

新的一年, 学习孙学, 吃透孙学, 贯彻落实能闲鱼买东西, 绝不去其他地方。
agent时代, 空想没用, 上手实践才是硬道理, 于是基于opencli的方法 @jakevin7 逆向了一个闲鱼cli

闲鱼cli支持在个人agent (openclaw, claudecode,codex等等) 进行以下操作 :
1. 登录/登出
2. 搜索商品关键词
3. 询价消息群发
4. 监听卖家回复
5. 基于卖家回复, 调用LLM智能分析, 比价出最优的商品
6. 获取商品分享链接 (点击即可打开闲鱼H5, 点击H5的打开app即可自动跳转对应商品的详情页)

为了方便闲鱼cli的使用, 将复杂的流程抽象成“agent-flow”
核心流程: 搜索商品 → 信用排序取 Top N → 群发询价 → 收集卖家回复 → AI 分析 → 推荐最优卖家

xianyu-cli支持本地 & 云服务器请求
ps: 云服务请求需要配置静态的住宅代理ip, 非静态的住宅代理ip和云服务器ip会被风控

github链接:https://t.co/NOoU3cQFzz

[Tangerine @IslandCraftor]

claude opus-4-6，如果直接用api的token，成本在pro/max方案的10倍左右，max200u套餐的20倍左右

但如果使用auth token链接，如果用量大调用次数多，一般几天就会被取消资格

最近亲测的一个方式可以解决这个问题，让max plan模拟cli的运行环境，让token消耗至少低90%

在openclaw官方文档中有一个claude-max-proxy的接口文档。主机双开openaw和claude cli，然后把文档丢给claude让他根据这个方法解决问题，大概尝试十多轮之后，龙虾就可以完美绕开auth token。通过你自己的自建router的方式使用了！

不仅省钱，还集成cli更强大的skills兼容性。有需求的可以试试～

[Tangerine @IslandCraftor]

可以支持搬运，监控聪明钱在各个平台各个链上的热门代币和叙事，然后一键发射到其它台子上

[Tangerine @IslandCraftor]

https://t.co/Sbr78vT4xa

这两天用最强模型opus4-6 vibe code了一个自动狙击热点叙事，自动到@fourdotmemezh 和 @jumpbot_launch 发币的产品。

迭代了几个版本。实时看最新的推特热点叙事，ai分析叙事的发币成功率，一键生成代币模版并发射

skills用了6551的opentwitter和bn的

后面再多支持一些其他的发射器，欢迎使用👏

[Tangerine @IslandCraftor]

@0xTZ_DeFi 我也是服务器日本日人不在，你有挂vpn吗？

[Tangerine @IslandCraftor]

这次链上skill大战最受益还是零代码基础的大众韭菜，还是很让人振奋

比如我最近小龙虾🦞开始疯狂叠buff，链上数据用的ave，bitgetwallet的skills，脚本和解析数据用dune mcp，推特和新闻数据用6551，聪明钱代币啥的数据用bn wallet

每天睡前用两个小时调教各个功能模块不断优化提示词

就是claude api账单有点扛不住，今天开了max，研究了下max用量是pro的20倍，还是很能打的，推荐

[Tangerine @IslandCraftor]

@0xTZ_DeFi 你setupcode是不是给多个龙虾或者多处用了，而且ip不一样，这个要格外小心一些