@akadhanu · X

an ai sprint retrospectives for it teams (

anuj_sachan1 · Product Hunt

DueDocs AI property contract review for Australian buyers and pros.

@nemesis_goals · X

Building an AI goal tracker that hates your excuses and roasts your failures.

@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

@im_pradee_p · X

Backend as a service

rohanrecommends · Product Hunt

AI Media Buyer By Creatify Your ads, managed by AI that gets smarter daily.

@QBitFlowApp · X

— the worst part of shipping is getting paid, so we make crypto payments as simple as a card, but the money hits your wallet instantly and stays yours (no processor sitting on your funds). Would love your feedback 🙏

@DamianGuzierowi · X

@Null_penure · X

Outreach Studio finds business leads with emails included, has AI write a personal message to each one, sends at a human pace, and triages the replies. Free plan included.

u/termicrafter16 · Reddit

A friend taught me a Slovenian card game two days ago. GPT-5.6 Sol helped me turn our argument into an AI opponent. Two days ago, a friend taught me Sedmice, a traditional card game we play in Slovenia. The rules are simple, but we quickly got into an argument about the best moves. Naturally, I decided the reasonable way to settle it was to build an AI opponent. I wrote out the rules, project specification, architecture, and implementation details, then handed the logic to GPT-5.6 Sol. Ab

u/Secret_Appeal6271 · Reddit

Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o

u/getawaykid · Reddit

I got tired of doing receipt math at restaurants, so I built a free bill splitter with optional AI scanning TL;DR: Receipt Split splits restaurant bills by item. Free for manual entry + real-time sharing. AI photo scanning is optional and costs money to run, so I only charge for that part. I built Receipt Split after one too many dinners where someone said “let’s just split it evenly” while my friend was sitting there with a salad and everyone else had entrees + drinks. It’s a web app —