Jadarat A.I Powered LMS
The #1 Learning Management System for Corporate & Enterprise
What it does
Jadarat is a digital learning platform designed for large and medium-sized companies and organizations, powered by AI learning features to help learning professionals develop training courses in minutes.
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- ICI cloned a YC funded app in a day as an MVP2025 · ai-tutor.mvpwrappers.com · ▲28
I saw this app youlearn.ai on YC and thought of building it. They are claiming to have 1M+ users with just one feature which is to convert your learning material into summaries, quizzes etc. I gave this a shot and cloned almost most of the features in just 9+ hours of continous vibe coding (with 20% manual though). Now I'm selling this on mvp marketplace. Might probably open source it in future or give it free.
More work this month
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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 · 30d 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
