
Knotulus — Quantifying the Human
Map founder DNA across behavioral dimensions to find compatible investors.
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!
The full gallery
Tech stack
60 projects

Map founder DNA across behavioral dimensions to find compatible investors.
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!

AI tutoring platform for high school students combining curriculum planning, progress tracking, and visual problem-solving explanations.
@Cjeremydev · X
, The AI that explains schoolwork by drawing.

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

Connect with verified mentors for 1:1 guidance in coding, startups, and career development.
@wearekrishnaite · X

Diagnose your knowledge gaps in technical fields and get a personalized AI-driven learning plan.
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

Build and deploy AI agents, workflows, and knowledge bases on your chosen models.
@pedrolivaresan · X

Embeddable visual workflow builder for web apps with optional AI assistance.
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

AI platform for building full-stack apps using up to 10 parallel specialized agents.
@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

An AI-powered search engine that delivers precise answers using trusted sources.
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

Check which network routes and Cloudflare nodes various AI services use.
@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。