Alternatives
Products that do what Cosminds does
Organize what you learn by idea, not by source
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- 2LO
Hello HN, Over the last 12 months, I have been building https://learnawesome.org This idea came from Danny Hillis' 2012 talk at OSCON, which itself was inspired from Neal Stepehenson's _The Diamond Age : A Young Lady's Illustrated Primer_ The dream is to build a tool that matches the right learning material to the right student at the right time. Wikipedia is great, but it doesn't do a good job of leveraging the rich variety of learning resources that exist on the Web. Same applies to GoodReads - which is focused only on books, whereas these days we actually learn from videos,…
2020
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- 15KA
I'm building out Kerns, as an AI environment for research. You can seed a space with a topic and multiple source documents, and complete your research completely in one space. There's interactive mindmaps for exploration, podcast mode, powerful source readers with original plus chapter level summaries that let you zoom into source on demand, a powerful chat agent that lets you control context and cite refs, and AI assisted note taking. My goal is to have one place to do research on any topic which minimizes manual context engineering, and jumping around between chat/notes/readers.…
Nov 2025 · kerns.ai
- 16MA
Hi HN, I'm a solo developer learning to code, and I'd love to share my second real project: MapMyLearn, an AI-powered app that automatically generates personalized learning paths based on any topic you input. What it does: Takes a topic (e.g. "history of capitalism", "learn Rust", or "data storytelling") Uses AI to break it down into a structured course with modules and submodules Each submodule includes: - Detailed, pedagogical content (developed based on online sources to mitigate hallucinations) - A quiz of 10 questions - Recommended resources - An AI chatbot for Q&A - Optional audio…
2025
- 17LO
Hi HN, Over past few months, some of us had been collecting links to learning resources (courses, interactive explorables, books, podcasts, apps, forums, livestreams etc) in a GitHub repository of markdown files. Since we also wanted to have features like advanced search ("Show me podcasts on machine learning which are entertaining and less than 40 minutes long"), we felt the need for an app. Give it a try: https://learnawesome.org You can think of LearnAwesome.org as a GoodReads-equivalent tool generalized to links to ALL media (not just books). Some features you might like: -…
2019
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- 19IB
I haven't seen anything like this so I decided to build it in a weekend. How it works: You see a bunch of things pulled from Wikipedia displayed on cards. You ask yes or no questions to figure out which card is the secret article. The AI model has access to the image and wiki text and it's own knowledge to answer your question. Happy to have my credits burned for the day but I'll probably have to make this paid at some point so enjoy. I found it's not easy to get cheap+fast+good responses but the tech is getting there. Most of the prompts are running through Groq infra or hitting a cache…
Apr 2026 · sleuththetruth.com
- 20AG
I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
- 21IM
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results. High-Level Concept Flow Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps And the bast part: Every step can be saved and reused as…
2025 · github.com
- 22TF
TLDR: Meet Lilys AI—a YouTube summary web service that saves you significant time. It delivers summaries that avoid excessive simplification, preserving the original source material, allowing you to grasp the entirety of a video without needing to play it. Hello, everyone! In this age of information overload, our mission is to help you process information faster and more efficiently. Have you ever struggled to watch an overly long video? Or encountered a video in a foreign language that felt inaccessible? You're not alone; I've faced the same challenges. After trying dozens of video summary…
2024 · lilys.ai
- 23HA
Hi all, I find literature searches to be slow and despite all the tools nowadays, it is difficult to map out vast areas of research and then connect my ideas to what I’m trying to do (e.g. writing a review, learning something new, planning a new project, assignments, etc). Some of my peers and teachers also found this to be a problem so I built this MVP app to help people not only leverage AI search capabilities but also go on to connect their ideas, map out research projects, cite various results and organise their “stream of consciousness” as they work. I’d love to get some feedback on it…
2025 · hexle.ai
- 24RN
Hey! Just launched my new project. The cmaps platform was created after a long period of research and development in the field of education. It's known that human thinking is not linear, but rather associative. Without realizing it, we are constantly making connections between the things we learn. I believe that the best way to learn is to make these connections explicit. Instead of studying and taking notes in a linear fashion, we should be able to create a map of the concepts we are learning. This way, we can see the big picture and understand how everything is connected. I can say that…
2023 · cmaps.io
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