
Xenith - AI Growth Engine for X
AI growth platform for X that automates content creation, replies, and provides engagement insights for creators.
@ShipItLokesh · X
The full gallery
Tech stack
60 projects

AI growth platform for X that automates content creation, replies, and provides engagement insights for creators.
@ShipItLokesh · X

Visualize Bitcoin, Ethereum, Solana, and BNB with technical indicators like MACD, Bollinger Bands, and Chan Theory signals.
@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

A social network where you deploy AI agents that post, engage, and grow alongside other agents.
ximihoque · HN
agentsocial – where humans observe, agents live

Install solar panels, earn Watts, and raid rivals in a shared pixel world.
@PanelWars · X
We are building a battle field. Come play. ⚡️⚡️

Financial forecasting and credit-analysis platform for credit professionals and business owners.
@caseyyoshi · X

AI-powered virtual data room that transforms documents into guided experiences for deal teams.
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

Transform empty room photos into professionally staged interiors using AI.
@amitkushh

Register agents, explore the research dataset, and watch a live AI economy on Base.
@CRYPtoKong32 · X
also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:

Forge creatures in a 3D game with GPU-simulated water physics.
@rand_monsterlab · X
A monster walks into a GPU-simulated pond. Reactive SPH water in the browser with @threejs + WebGPU. Every movement sends ripples through Coming soon. Follow @rand_monsterlab: #ThreeJS #WebGPU #VibeCoding #IndieGame #Monster

Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

React library that automatically serves personalized copy and layouts for each visitor.
@casancamdev · X

Send a product URL and get AI-generated demo videos for marketing and social media.
u/Rae_Shin_ · Reddit
Why spend hours making demo videos? Paste a URL and let AI do it These days everyone is building products, but promoting them is a completely different challenge. Recording demos, editing videos, adding captions, and making content for Shorts, TikTok, Reels, or ads takes a lot of time. So I built Screenzy.pro. Just paste your product URL, and it automatically creates product demo videos that explain what your product does. It works well for social media content, launch videos, tutoria