
Knotulus — Quantifying the Human
Knotulus:根据创始人行为分析与投资者进行智能匹配
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!
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Knotulus:根据创始人行为分析与投资者进行智能匹配
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!

Clarognosis是AI驱动的高中学习平台,提供课程规划、进度跟踪和可视化解题。
@Cjeremydev · X
, The AI that explains schoolwork by drawing.

@suni_code https://t.co/OajI3lOKKW - Traffic Orchestration Platform
@KsaAZaks · X
- Traffic Orchestration Platform


诊断你在技术领域的知识空白,获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act


可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

The intelligent link-in-bio. It learns what your audience clicks, reorders itself in real time, adapts to every visitor, and catches dead links. You only pay for it once. No subscr
@randomshenans · X

用并行AI智能体构建全栈应用的开发平台
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents

Helix is where your code strand begins. Write real programs in your browser, earn XP, and keep the helix spinning. No setup. No ceiling. Always forward.
@buildhelix · X

AI驱动的搜索引擎,汇集可信来源为您提供精准答案。
u/Redshankscommune1 · Reddit
Building an AI search engine instead of another chatbot I've been building an AI-powered search engine over the last few months as a side project. The idea came from noticing that I'd often Google something, open several tabs, then copy everything into an AI tool to get a useful answer. It felt like there was an unnecessary step in the process. The goal isn't to replace the web, but to make research faster by generating structured answers with citations and giving users the option to see

查看各 AI 服务使用的网络路由和 Cloudflare 节点。
@0xdeusyu · X
想知道代理是不是真的把每个 AI 站都送到同一个出口? 答案:并不是。 我做了一个 AI 分流测试: 它会探测 ChatGPT、Sora、OpenAI、Claude、Grok、Anthropic、Perplexity 等 AI 服务,通过读取各站点的 Cloudflare Edge Trace 信息,获取实际访问情况: 出口 IP Cloudflare 边缘节点(colo) HTTP / TLS / WARP 状态 访问延迟 然后根据落地位置进行归组。 这次测试结果: 6 个服务(覆盖 7 个域名)走美国出口。 唯一例外是 Sora,落在东京节点。 也就是说,同一个代理配置下,不同 AI 服务并不一定经过同一个出口。看起来“都能访问”,实际线路、节点和落地点可能完全不同。 整个测试工具纯前端实现,零后端。