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This awesome. Could you perhaps remember the title of the book you lost?


I wish I could but it's s long while ago. More precisely the book wasn't lost but loaned to someone who never returned it and I lost track of him.

The book was a harback with a bright yellow dust jacket and I think its title was printed in red. It was about 300 pages and was no lightweight, full of resonance equations, tables etc.—the sort of book you'd find in the lab of a commercial crystal manufacturer.

Can't remember the price but it was damned expensive. At times over the years I've had need to refer to it and I still get a bit peeved when I think about it.


ok, could it be: Crystal Oscillator Design and Temperature Compensation :Marvin E. Frerking (1978). or perhaps Introduction to Quartz Crystal Unit Design : Virgil E. Bottom (1982)?


Could well be either, it was around the late 70s early 80s when the book went walkabout.

Damn nuisance my memory isn't better. However, I'd recognize it instantly if I saw it. Must check those references out. There may be enough info online for me to figure it out. Thanks.


Thank you!


"Crystal Oscillator Design and Temperature Compensation :Marvin E. Frerking (1978)."

Ah, that has to be the book, just did a search and there's a photo of the cover on Amazon that I recognize. I said it was bright yellow with red writing and I was pretty close with its red lines and bits.

240 pages and not 300, but that's not too bad after close on 50 years. And I was correct about the price too, it is expensive, Amazon has it at $110 for the hardback.

Good one!


Fantastic! Also found used on abebooks! Thank you


The premise behind this vibe-coded website is excellent. It would have been great if a bit more effort had been invested in the visualization side and, if instead of using "AI-rendered" images, you'd have fetched scientifically accurate representations from papers and open repositories.


Those really were the good old days. My BBS ran out of my parents’ attic, with two phone lines and Renegade on the server (on a beefed-up PS/1). It was pure magic.


Is the appeal of this tool its ability to identify semantic similarity?


The use case could vary from person to person. When you think about it, hacker news has large enough data set ( and one that is widely accessible ) to allow all sorts of fun analyses. In a sense, the appeal is:

who knows what kind of fun patterns could emerge


The problem with HN isn't that the patterns are hard to discern, it's that no one wants to acknowledge them.


Oh? With few exceptions, I found people more willing to agree to an argument than anywhere else. Anything in particular you can share?


Go FSF & GNU! Superb Christmas news!


Science magazine used to run a genuinely thought-provoking “Breakthrough of the Year.” Lately, it feels like it has narrowed to AI+AI+agents, and more AI.

I’m looking for an outlet that consistently highlights truly unexpected, high-impact scientific breakthroughs across fields.

Ask HN: Is there anything like that out there?


Quanta? They do recaps by field every year. Have been a big fan for a while.


Maybe Science magazine https://www.science.org/content/article/breakthrough-2025 ?

>The seemingly unstoppable growth of renewable energy is Science’s 2025 Breakthrough of the Year


Arb Research and Renaissance Philanthropy made an excellent list this year! https://frontier.renaissancephilanthropy.org/


Have you considered that breakthroughs in AI research now might be more consequential than their equivalents in other fields - simply for bringing us nearer the point where AI accelerates all research?


Lol.


Ask HN: What’s the single best resource for learning Lean (beyond the official docs)?


Assuming you have some math background but no Lean background: https://adam.math.hhu.de/#/g/leanprover-community/nng4


All the good resources are listed here: https://lean-lang.org/learn/

I recommend the natural number game (also mentioned above) for a casual introduction to the mathematics side, just to get a feeling.

If you are serious about learning lean, I recommend Functional Programming in Lean for learning it as a programming language and Theorem Proving in Lean for learning it as a proof assistant



This is a video about the diode, in this case a Schottky diode made with a coil of copper wire filed to a fine point touching a piece of galena sitting loose in a bottlecap found by the side of the road.

The video is notable for demonstrating the original "breadboard" technique, where you connect your wires and components by clamping them to a wooden board with the head of a wood screw. The book I learned the technique from recommended using a dished washer under the head of the screw so that the screw head doesn't push the wires sideways as you tighten it.


This reminds me of a beautiful book written by Paul Nahin, 'The Science of Radio'.


Bought it but never read it - is it worth pushing through?


I did many years ago. Absolutely worth it.


The prelude of a Dyson Sphere!



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