@danielberigoi · X

Type plain text, get a clean deck in 30 seconds, broadcast it live to every phone in the room

@pixelcave_john · X

Hey Germán! I recently launched and a major update to Tailkit!

@nrqa__ · X

the AI agent resource list I wish existed a year ago 1). for learning the fundamentals (videos) ↳ llm introduction - the crash course that actually explains how these models work before you touch a line of code ↳ llms from scratch - build one yourself so the black box stops feeling like magic ↳ agentic ai overview (stanford) - a proper academic breakdown of what makes an "agent" different from a chatbot ↳ building and evaluating agents - how to actually test whether your agent is doing its job or just faking it ↳ building effective agents - practical patterns for agents that hold up outside a demo ↳ building agents with mcp - how model context protocol changes the way agents connect to tools and data ↳ building an agent from scratch - no frameworks, no shortcuts, just the raw build ↳ philo agents - a full playlist for going deeper once the basics click 2). for cloning and remixing (repos) ↳ genai agents - a growing collection of agent examples you can clone and

@SunilPokkalla · X

@IntBillboard_01 · X

u/fivetwentysix · Reddit

I needed a logo - so I made this, free for everyone I kept seeing founders use ChatGPT logos and then use a background remover to remove the background - I don't know it just looks so unprofessional, especially when you want to print that stuff out. So I created a LLM powered SVG generator. Give it a try, costs you nothing unless you want to go crazy with it. submitted by /u/fivetwentysix to r/SideProject [link] [comments]

@jielove233 · X

最近看到 @dappOS_com 一个作品挺有意思 一个主流币交易共振信号Agent，通过 dappOS Coding 快速完成 链接： 这个案例的价值，不在于又做了一个行情页面，而是在于它展示了一种新的 AI Agent 构建方式 过去开发一个交易辅助工具，需要先处理数据接口，再搭建前端交互，编写指标逻辑，最后不断测试优化。 对于很多有交易想法的人来说，真正困难的不是没有策略，而是从想法到产品之间隔着一整套开发流程 dappOS Coding 改变的，就是这个过程 通过自然语言描述需求，就可以快速生成对应功能模块 像这个交易共振信号案例，本质上就是把市场数据、技术指标和信号逻辑结合起来，形成一个面向交易场景的辅助工具 它并不是替用户直接交易，也不是承诺预测市场 更重要的价值在于 帮助交易者降低信息处理成本 在 Crypto 市场里，行情 24 小时运行，大量数据、新闻、价格变化不断涌入 普通用户很难持续人工筛选有效信息 AI Agent 可以承担其中一部分重复工作： 监控市场变化 整理关键数据 输出信号参考 辅助交易决策 这也是为什么最近 AI + Crypto 的结合越来越受到关注 OKX 推出 AI 与交易生态结合 @BNBCHAIN 也在推动更多项目加入 BNB Agent Studio，鼓励开发者围绕交易、情感陪伴等方向构建 AI Agent 整个行业正在从AI 能聊天进入AI 能完成任务的阶段 而 dappOS Coding 展现出来的方向，是降低 Agent 创建门槛 以前一个想法可能停留在笔记里，需要开发团队才能实现 现在，更多开发者、交易者甚至普通用户，都有机会快速验证自己的想法 未来 Crypto 的竞争，不只是资产和协议之间的竞争，也会是 AI Agent 生态和应用数量的竞争 谁能让更多人低成本创造工具，谁就更有机会成为下一阶段基础设施的一部分 这个交易信号案例只是一个开始 AI Agent 正在逐渐成为连接用户、数据和链上应用的新入口

@HeliaAI_ · X

Building in AI + e-commerce 🚀 SnapSell turns a simple product photo into professional visuals + SEO-ready listings.

rodoherrera · HN

Pollium – A new way to study with AI

@mjqzwpu · X

🌙 #TEST1B 现价408K DYOR AI选币系统给精准拿捏了 Meme猎人集合！AI助你一击必中 $1921 → $11.6K，这把收割得漂亮！ 钱包地址扔这儿了： CA：0x6528a3220ecd1427289fb153b5ee655098a87777 高胜率怎么玩：AI先筛一遍，TG机器人再秒抢，两个配合胜率就上来了 叙事捋一下：币安上线了一个bStocks页面，里头有TEST1B测试代币，说白了就是币安在测链上交易股票，整了个美股代码的样儿，搁在列表头一个，标志就是个黄方块上印黑X。 新手怎么筛Meme，教程搁下边了👇

u/raidenblackout · Reddit

I spent 6 months building my AI platform and 0 days marketing it. Trying to fix that now So I've been building Nodal ( https://app.asknodal.com ) for about 3 months now. Basically it's a Pinterest-like app for AI-generated images. And the neat part is you top up one credit balance and can use it to generate from multiple platforms like Nano Banana, ByteDance, Flux, etc. So for the last 3 months I have been working on feature after feature, refactoring, trashing some features, and then build