SuperMindMaps AI
Deep Research Using MindMaps. Say Goodbye to Confusing Chats
What it does
Chat conversations make it difficult to grasp relationships between concepts, resulting in fragmented understanding. - Visualizing connections between concepts that chat interfaces miss - Providing in-depth research on demand for any node in your mind map
Does a similar job
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- CMCreate mind maps to learn new things using AI2024 · github.com · ▲170
Enter a topic and get a learning mind map generated by an LLM with links to learn more about each subtopic. You can use it with local models (through Ollama) or external models. If you have any feedback, please share it! Hope it's useful Demo: https://youtu.be/Y-9He-tG3aM
- CWChatting with AI Sucks. Try Mindmapping2024 · fuzzyflo.com · ▲12
More work this month
the category →
Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
Work · 11d ago · getcomputable.com
The app store for voice native apps that lives in your notch
Work · 29d ago · voiceos.com
Source: Product Hunt launch ↗
Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com
