
Maestrocast
Teach music online and actually enjoy it
Maestrocast launched on April 29, 2025 with 4 votes.
What it does
Maestrocast exists to make teaching music online delightful. Control student cameras, annotate sheet music live, share handouts, chat instantly, and manage lessons with ease.
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maestro by beatoven.ai2025 · beatoven.ai · ▲370Our latest music generation model, trained on licensed data
- APA platform for remote piano lessons based on the Web MIDI API2024 · keyboardconnect.com · ▲224
I'm building a video conferencing app designed to facilitate better remote piano lessons. My hope is to solve a lot of the challenges piano tutors and new students deal with when taking lessons through Skype/Zoom. It leverages WebRTC's data transmission to send media, MIDI state, and (eventually) send sheet music files and other musical data. I'm surprised with how well the MVP has worked and would love to hear any feedback or suggestions!




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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…
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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.…
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