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v2ex · 2026-06-01 14:48:50+08:00 · tech

Veryfb 招聘:高级全栈工程师( Vue+PHP/Node ) SaaS 出海 Veryfb 已经是目前中文世界最大,最活跃的跨境出海营销平台和社区,我们在积极推进平台国际化的同时,也将不断优化现有的服务和工具。 现发布招聘 JD ,欢迎各路英才加入。 工作地:山东烟台 岗位职责核心职责: 负责 FBspider 项目的维护、优化和新功能开发 Facebook Marketing API 、Graph API 的集成和调用 处理客户技术问题、跟随 Facebook API 政策变化做相应调整 项目的稳定性保障(监控、自测、文档化) 长期发展: 第二战线 cloaking 系统的设计开发 第三战线 IP 转发系统的设计开发 技术要求必须有: 5 年以上 Web 全栈开发经验 PHP 后端开发能力( Laravel/ThinkPHP 等任一框架) Vue 前端开发能力( Vue 2 或 Vue 3 ) MySQL 数据库设计和优化 Linux 服务器基础运维( Nginx 、Redis 、定时任务等) Git 协作和分支管理 RESTful API 设计 强加分项: 有跨境/出海产品经验 有 SaaS 项目独立维护或从 0 到 1 开发经验 熟悉 OAuth 认证、Token 管理、API 限流处理 加分项: 熟悉 Cookie/Session 管理机制 在开源社区有贡献或有技术博客 英语阅读流利( Facebook 官方文档为英文) 我们更看重(请认真看)技术能力是基础,但我们最看重工作姿态: 能独立承担项目,不需要老板盯着推进 能主动发现工作,看到项目要做的事自己去做 能深挖一件事,把功能做到稳定可靠 能直接对接客户,处理客户技术问题 能持续研究行业,主动看竞品和 API 更新 我们提供薪酬: 基础工资 15-20K (根据能力定) 项目分成:fbspider 净利润 5-10% 阶梯分成 第二、第三战线启动后独立设计分成 优秀员工年总收入 30-50 万 工作条件: 每天工作 7 小时,双休,不加班(真实情况) 独立负责项目,不做外包 成长: 接触出海产品的真实运营 接触 Facebook 营销圈的核心资源 跟着资深从业者(老板 14 年 Facebook 营销经验、12 年 affiliate 行业经验)学业务 我们不画饼,不会承诺虚的”未来融资上市”。 我们能承诺: 公平的薪酬和分成 项目真实存在、客户真实付费 工作时间真的不加班 如果你之前在大厂被卷得疲惫,在外包公司做没意义的项目,欢迎来谈谈。 联系方式: https://veryfb.com/about/

v2ex · 2026-05-29 05:38:39+08:00 · tech

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==

v2ex · 2026-05-29 05:38:39+08:00 · tech

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==

IT之家 · 2026-05-27 11:20:56+08:00 · tech

IT之家 5 月 27 日消息,上周有消息称京东正在研究收购英国在线零售平台 The Very Group 的可能性,潜在交易规模约为 20 亿英镑。 据科创板日报消息,接近京东人士表示, 公司没有竞购 The Very Group 的计划 。 IT之家注:The Very Group 年营收超过 20 亿英镑(现汇率约合 182.97 亿元人民币),此前名为 Shop Direct,目前拥有数千名员工,并通过 Very 与 Littlewoods 品牌销售电子产品、家居用品、时尚商品以及玩具等综合商品。 The Very Group 集团官网显示,其历史可追溯至 1861 年由普赖斯 · 琼斯爵士创立的第一本邮购目录。上世纪 30 年代,Littlewoods 家庭购物门店启动运营。

cnBeta全文版 · 2026-05-25 13:05:12+08:00 · tech

Uber Technologies Inc.已提议收购德国外卖配送公司Delivery Hero SE,交易对后者的估值约为100亿欧元(116亿美元)。Uber正寻求加大与DoorDash Inc.在美国以外市场的竞争。 总部位于柏林的Delivery Hero周六在公告中表示,已收到Uber提出的每股33欧元的收购报价,“公司仍将全力执行战略评估流程”。这一报价略高于Delivery Hero上周四的收盘价。 根据条款,持有Delivery Hero 20%股份的Uber将需要支付约80亿欧元。这家美国公司上周一披露,它还拥有另外5.6%股份的期权。 在股东的压力下,Delivery Hero一直在对其资产进行战略评估。受增长放缓和激烈竞争的影响,全球食品配送行业正在整合,Delivery Hero在欧洲的多家同行已成为整合目标。美国餐饮配送市场的领军企业DoorDash去年同意收购英国的Deliveroo Plc。几个月前,Prosus宣布收购荷兰Just Eat Takeaway.com NV的计划。 查看评论

v2ex · 2026-05-25 11:00:53+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

v2ex · 2026-05-25 10:32:11+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

v2ex · 2026-05-25 10:01:50+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

v2ex · 2026-05-25 09:47:32+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

v2ex · 2026-05-25 09:34:31+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

v2ex · 2026-05-25 09:19:42+08:00 · tech

只支持 Windows ,原理: ClickFix is very simple. Most of the script's length is actually the interface logic. As mentioned in the about section, all it does is debounce the mouse clicks. Every time you click a button that is targeted for fixing, ClickFix will hold it down in software for a short amount of time until you release it. Normally, the multiple clicks a wild mouse performs happen very fast, so the delay that ClickFix imposes is long enough to cancel the extra clicks - but short enough to mostly not be noticed. 看源代码就是写的 AutoHotKey 的脚本。

IT之家 · 2026-05-23 21:35:03+08:00 · tech

IT之家 5 月 23 日消息,据英国天空新闻网 22 日报道,京东正在研究收购英国在线零售平台 The Very Group 的可能性,潜在交易规模 约为 20 亿英镑(IT之家注:现汇率约合 182.74 亿元人民币) 。 目前被视为全球仅次于亚马逊的第二大零售商京东,已经表达了 对 The Very Group 的收购兴趣 。The Very Group 主营时尚商品、玩具以及电子产品等综合零售业务。 The Very Group 即将正式启动出售程序。数月前,美国私募股权巨头凯雷集团在一次财务重组后取得了 The Very Group 控制权。如果最终完成收购,就将是京东 第三次尝试进入英国大型零售资产交易 。 去年,京东曾放弃从森宝利手中收购 Argos;再前一年,京东还放弃了对 Currys 的收购计划。最近,京东还在英国推出了 Joybuy 在线购物服务,希望进一步切入英国零售市场。分析师表示,如果成功收购 The Very Group,京东在英国电商市场的份额将明显提升。 The Very Group 年营收超过 20 亿英镑。2002 年以 7.5 亿英镑(现汇率约合 68.53 亿元人民币)完成出售时,该公司仍以 Littlewoods 品牌运营,之后 20 多年一直由巴克莱家族控制。 The Very Group 此前名为 Shop Direct,目前拥有数千名员工,并通过 Very 与 Littlewoods 品牌销售电子产品、家居用品、时尚商品以及玩具等综合商品。目前,该公司拥有 440 万客户,同时还经营大型消费金融业务,帮助消费者管理分期付款。该集团官网显示,其历史可追溯至 1861 年由普赖斯 · 琼斯爵士创立的第一本邮购目录 。上世纪 30 年代,Littlewoods 家庭购物门店启动运营。