Give $1,000 in usage credits to every new Claude Code or Cowork user Invite teammates in your org who are new to both Cowork and Claude Code. 看看你有没有资格吧 3 个帖子 - 3 位参与者 阅读完整话题
Clawd.rip Everything That Went Wrong With Claude A satirical timeline of Claude and Anthropic controversies, outages, bans, legal disputes, policy fights, and quality complaints. 2 个帖子 - 2 位参与者 阅读完整话题
大家对插件everything-claude-code的体验怎么样，好用吗，消耗token多吗 1 个帖子 - 1 位参与者 阅读完整话题
Hey everyone, I'm a systems programmer with experience in Go and Rust , and I'm looking to build a serious, production-grade automated trading bot connected to Bybit and/or Binance. I've done my homework on the technical side — WebSocket market data feeds, order execution, risk management infrastructure — but I want to build this as a team rather than solo, because the hardest part isn't the code: it's the strategy . 🎯 What I'm building A fully automated crypto trading system covering: Real-time market data ingestion (order book, trades, candlesticks) Strategy engine with pluggable signal modules Order execution with smart routing and latency optimization Risk management layer (position sizing, drawdown limits, circuit breakers) Backtesting framework with realistic slippage and fee modeling Deployed on low-latency VPS close to exchange infrastructure 👥 Who I'm looking for Most needed: People with experience or serious interest in quantitative trading strategies — mean reversion, stat arb, funding rate arbitrage, trend following, market making, etc. Anyone who has built or studied backtesting frameworks and understands the pitfalls (overfitting, lookahead bias, survivorship bias) Also welcome: Go or Rust developers who want to work on something non-trivial People with a background in data science / ML applied to price/order flow data Traders (manual or algorithmic) who understand market microstructure You don't need to be an expert in everything — genuine curiosity, intellectual honesty, and willingness to learn matter more than credentials. 🤝 How I see this working This would be a collaborative side project to start — no money on the table yet, just building and learning together. If we find a strategy with a genuine edge, we can discuss deploying real capital as a group. I believe in transparency: shared codebase (private repo), open discussion on strategy logic, and honest reporting of backtest and live results. I'm not interested in hype or "guaranteed profit" thinking. I want people who understand this is hard, uncertain work — and find that exciting rather than discouraging. 📬 Reach out if... You've thought about algo trading but didn't want to go it alone You have strategy ideas you've never had the engineering bandwidth to test properly You're a developer who wants a technically challenging, real-world project You just want to learn how this world works alongside others Drop a comment or DM with a bit about your background and what you'd bring to the table. Looking forward to meeting some like-minded people! 🚀 Contact: d2lsbGlhbWxzaEBwcm90b25tYWlsLmNvbQ==
Hey everyone, I'm a systems programmer with experience in Go and Rust , and I'm looking to build a serious, production-grade automated trading bot connected to Bybit and/or Binance. I've done my homework on the technical side — WebSocket market data feeds, order execution, risk management infrastructure — but I want to build this as a team rather than solo, because the hardest part isn't the code: it's the strategy . 🎯 What I'm building A fully automated crypto trading system covering: Real-time market data ingestion (order book, trades, candlesticks) Strategy engine with pluggable signal modules Order execution with smart routing and latency optimization Risk management layer (position sizing, drawdown limits, circuit breakers) Backtesting framework with realistic slippage and fee modeling Deployed on low-latency VPS close to exchange infrastructure 👥 Who I'm looking for Most needed: People with experience or serious interest in quantitative trading strategies — mean reversion, stat arb, funding rate arbitrage, trend following, market making, etc. Anyone who has built or studied backtesting frameworks and understands the pitfalls (overfitting, lookahead bias, survivorship bias) Also welcome: Go or Rust developers who want to work on something non-trivial People with a background in data science / ML applied to price/order flow data Traders (manual or algorithmic) who understand market microstructure You don't need to be an expert in everything — genuine curiosity, intellectual honesty, and willingness to learn matter more than credentials. 🤝 How I see this working This would be a collaborative side project to start — no money on the table yet, just building and learning together. If we find a strategy with a genuine edge, we can discuss deploying real capital as a group. I believe in transparency: shared codebase (private repo), open discussion on strategy logic, and honest reporting of backtest and live results. I'm not interested in hype or "guaranteed profit" thinking. I want people who understand this is hard, uncertain work — and find that exciting rather than discouraging. 📬 Reach out if... You've thought about algo trading but didn't want to go it alone You have strategy ideas you've never had the engineering bandwidth to test properly You're a developer who wants a technically challenging, real-world project You just want to learn how this world works alongside others Drop a comment or DM with a bit about your background and what you'd bring to the table. Looking forward to meeting some like-minded people! 🚀 Contact: d2lsbGlhbWxzaEBwcm90b25tYWlsLmNvbQ==
如果每人最多只能推荐3个这类小工具，大家会推荐什么 除了everything和singlefile这两个之外的 3 个帖子 - 3 位参与者 阅读完整话题
非常火的一个项目，我自己也有在用，对于一些笨模型确实能扶一把，但是有些时候又感觉有点多余，而且这玩意会占挺多上下文的，有佬友来分享一下使用经验吗 4 个帖子 - 2 位参与者 阅读完整话题
重新卸载安装也一样，是dll的锅吗？好奇怪 3 个帖子 - 3 位参与者 阅读完整话题
原生支持简体中文了？ 并且在1310a版本更新了一个用双击 CTRL 键启动 Everything的功能。 搜索栏输入 /double_ctrl_action=1 启用 1 个帖子 - 1 位参与者 阅读完整话题
感觉前者还是太繁冗了，大家觉得呢，说说你们用的啥 2 个帖子 - 2 位参与者 阅读完整话题
今日注册的用户赠送 5$的体验额度 https://passionevery.art/ 注册完成留下 ID/email 每日抽取一位幸运的用户，赠送 20$ 模型真实，无掺水 https://i.imgur.com/BsP6bBT.png https://i.imgur.com/G9VwFaR.png v 群： https://i.imgur.com/GJfjrxj.jpeg
今日注册的用户赠送 5$的体验额度 https://passionevery.art/ 注册完成留下 ID/email 每日抽取一位幸运的用户，赠送 20$ 模型真实，无掺水 https://i.imgur.com/BsP6bBT.png https://i.imgur.com/G9VwFaR.png v 群： https://i.imgur.com/GJfjrxj.jpeg
今日注册的用户赠送 5$的体验额度 https://passionevery.art/ 注册完成留下 ID/email 每日抽取一位幸运的用户，赠送 20$ 模型真实，无掺水 https://i.imgur.com/BsP6bBT.png https://i.imgur.com/G9VwFaR.png v 群： https://i.imgur.com/GJfjrxj.jpeg
Every person in the world now has access to a free coding agent. We’ve made DeepSeek V4 Flash available everywhere, for 5 free sessions of 1 hour each, everyday. Selected countries retain access to a choice of open source models. Try Freebuff today! And share it with your friends. npm i -g freebuff Cheers, James 全球可用，没有国家限制了 1 个帖子 - 1 位参与者 阅读完整话题
最近在折腾 Claude Code 的工作流，发现很多人会同时安装： SuperPower Everything-Claude-Code memory / hooks 类增强 各种 MCP UI patch auto context 注入 但我实际用下来有个疑问： 是不是这些东西一起开之后，AI 在处理代码时会： 上下文越来越长 响应明显变慢 经常读取一堆其实没必要的文件 token 消耗暴涨 小项目也开始“过度工程化” 尤其是： Python 脚本 Playwright 自动化工具 这种本来文件量不算特别大的项目。 我现在甚至有点怀疑： 很多 Claude Code 工作流后期变卡，不一定是模型问题，而是： “插件和上下文增强层叠太多”。 想问下大家实际使用情况： 你们会同时开 SuperPower 和 Everything-Claude-Code 吗？ 会不会明显增加 token 消耗？ 响应速度会不会下降很多？ 长期项目到底值不值得开 memory 类增强？ 你们现在更偏向： 极简 Agent 还是全增强工作流？ 顺便也想看看大家现在安装的哪些，我用的cc switch如果安装的话子技能都能有有不少，大家建议下 4 个帖子 - 4 位参与者 阅读完整话题
最近看到一本书，英文名叫 《 Believe: Why Everyone Should Be Religious 》。 以下是书的一些观点： 宇宙为什么刚好是现在这样。很多物理条件只要差一点，生命可能就不会出现。 也讲到很多宗教体验。奇迹、濒死、祷告、某种被回应的瞬间。现代人很容易说这都是心理作用 但是人类对“神圣感”的感知，可能比我们以为的更复杂。 还有一个点是意义感。现在很多东西都可以被解释、被拆解，但人还是会问：为什么要这样活，什么是好的生活，痛苦到底有没有意义。宗教在这些问题上，至少给过很多人一种稳定的语言。 读完后发现现在社会氛围万物都谈钱 太过社达了唉😮💨
最近看到一本书，英文名叫 《 Believe: Why Everyone Should Be Religious 》。 以下是书的一些观点： 宇宙为什么刚好是现在这样。很多物理条件只要差一点，生命可能就不会出现。 也讲到很多宗教体验。奇迹、濒死、祷告、某种被回应的瞬间。现代人很容易说这都是心理作用 但是人类对“神圣感”的感知，可能比我们以为的更复杂。 还有一个点是意义感。现在很多东西都可以被解释、被拆解，但人还是会问：为什么要这样活，什么是好的生活，痛苦到底有没有意义。宗教在这些问题上，至少给过很多人一种稳定的语言。 读完后发现现在社会氛围万物都谈钱 太过社达了唉😮💨
最近看到一本书，英文名叫 《 Believe: Why Everyone Should Be Religious 》。 以下是书的一些观点： 宇宙为什么刚好是现在这样。很多物理条件只要差一点，生命可能就不会出现。 也讲到很多宗教体验。奇迹、濒死、祷告、某种被回应的瞬间。现代人很容易说这都是心理作用 但是人类对“神圣感”的感知，可能比我们以为的更复杂。 还有一个点是意义感。现在很多东西都可以被解释、被拆解，但人还是会问：为什么要这样活，什么是好的生活，痛苦到底有没有意义。宗教在这些问题上，至少给过很多人一种稳定的语言。 读完后发现现在社会氛围万物都谈钱 太过社达了唉😮💨
最近看到一本书，英文名叫 《 Believe: Why Everyone Should Be Religious 》。 以下是书的一些观点： 宇宙为什么刚好是现在这样。很多物理条件只要差一点，生命可能就不会出现。 也讲到很多宗教体验。奇迹、濒死、祷告、某种被回应的瞬间。现代人很容易说这都是心理作用 但是人类对“神圣感”的感知，可能比我们以为的更复杂。 还有一个点是意义感。现在很多东西都可以被解释、被拆解，但人还是会问：为什么要这样活，什么是好的生活，痛苦到底有没有意义。宗教在这些问题上，至少给过很多人一种稳定的语言。 读完后发现现在社会氛围万物都谈钱 太过社达了唉😮💨
最近看到一本书，英文名叫 《 Believe: Why Everyone Should Be Religious 》。 以下是书的一些观点： 宇宙为什么刚好是现在这样。很多物理条件只要差一点，生命可能就不会出现。 也讲到很多宗教体验。奇迹、濒死、祷告、某种被回应的瞬间。现代人很容易说这都是心理作用 但是人类对“神圣感”的感知，可能比我们以为的更复杂。 还有一个点是意义感。现在很多东西都可以被解释、被拆解，但人还是会问：为什么要这样活，什么是好的生活，痛苦到底有没有意义。宗教在这些问题上，至少给过很多人一种稳定的语言。 读完后发现现在社会氛围万物都谈钱 太过社达了唉😮💨