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Ask HN: Abandoned/dead projects you think died before their time and why? (Score: 150+ in 13 hours)

Link: https://readhacker.news/c/6DpSN

Just curious and who knows, maybe someone will adopt it or develop something new based on its ideas.
Macro Gaussian Splats (Score: 152+ in 4 hours)

Link: https://readhacker.news/s/6Dr72
Comments: https://readhacker.news/c/6Dr72
👍4
How Apple designs a virtual knob (2012) (❄️ Score: 151+ in 4 days)

Link: https://readhacker.news/s/6D96w
Comments: https://readhacker.news/c/6D96w
👍5🔥2👎1
No I don't want to turn on Windows Backup with One Drive (🔥 Score: 165+ in 1 hour)

Link: https://readhacker.news/s/6DrKZ
Comments: https://readhacker.news/c/6DrKZ
👍24🤩1
A Guide for WireGuard VPN Setup with Pi-Hole Adblock and Unbound DNS (Score: 151+ in 23 hours)

Link: https://readhacker.news/s/6Dpxt
Comments: https://readhacker.news/c/6Dpxt
🔥9💩1
Show HN: A Digital Twin of my coffee roaster that runs in the browser (❄️ Score: 150+ in 6 days)

Link: https://readhacker.news/s/6D4Ki
Comments: https://readhacker.news/c/6D4Ki

I built this website to host a data-driven model of my coffee sample roaster.
I realized after 20 or so batches on the machine that while the controls are intuitive (heat, fan, and drum speeds), the physics can be unintuitive. I wanted to use my historical roast data to create and tune a model that I could use to do roast planning, control, and to help me build my own intuition for roasting. This website lets you interact with my roaster in a virtual, risk-free setting!
The models are custom Machine Learning modules that honor roaster physics and bean physics (this is not GPT/transformer-based). Buncha math.
The models are trained on about a dozen real roasts. The default bean model is an Ethiopian Guji bean.
My next steps are to add other roasters and the ability to practice control/reference tracking.
🔥6
Free software hasn't won (Score: 150+ in 5 hours)

Link: https://readhacker.news/s/6DsNg
Comments: https://readhacker.news/c/6DsNg
🔥1
2025/10/24 11:28:22
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