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I’d wager if you filter out Show HN projects that have been maintained <2wks it would sift more gold to the top


As someone who took years investing in a system to easily spin up indie projects before vibe coding was coined. It’s been crushing to have built quality projects that are now swallowed up by a tidal wave of AI slop.

It may or may not be a great time to be a popular indie dev, but for the less known folks - it’s a lottery


This is similar to how I’ve transitioned to learning new programming languages. I used to build stuff to learn. However, with AI assisted coding I don’t have those organic moments I’m stuck and need to search online for the answer.

My learning process now uses Claude Code to serve as a tutor that creates bite sized lessons writing parts I want to re-review, found confusing, what lessons were reviewed and what is next into a long lived CLUADE.md file.


Interesting to see models on the list at 8/10 of exposure


The weight is an issue for me at 189g. I've been looking for something compact, light weight, secure with a decent OS for 2 years without luck.

Iphone air is tempting at 165g if the screen was smaller. Unihertz Titan 2 Elite may hit the sweet spot if the weight is kept low.


I’ve noticed Claude Codes sandbox mode works with MCPs. With CLIs I’ve rain into permission issues. CLIs also need reminding about whats available unless references are baked the context window.


This weekend I was trying to figure out how I can use my smart meter’s electricity data. I had a poke around MQTT explorer and realized I could see personal data points out in the open without encryption across a plethora of devices.


The local way is to use the P1 port . It's originally a Dutch thing, but most smart meters across Europe have it:

https://www.tinytronics.nl/en/home-automation/sensors/energy...


I would have liked to see statistics on study session length eg. average duration. Also how long you typically spend creating per card and how many you created this year.

That information would help us all better assess whether the time spent on a spaced repetition flashcard system is justified


I’ve done something similar recently, using speaker diarization to handle situations where two or more people share a laptop on a recorded call.

Ultimately, I chose a cloud-based GPU setup, as the highest-performing diarization models required a GPU to process properly. Happy to share more if you’re going that route.


What model did you use for diarization?


A few months ago I had to work around a problem like this and the best out there was WhisperX. Not sure about transformer.js support.

Link to the repo - https://github.com/m-bain/whisperX


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