Chicago O'Hare digs up 50-ton boulder under airfield, asks public for name ideas
23 by Stratoscope | 21 comments on Hacker News.
Monday, 19 October 2026
Sunday, 18 October 2026
Saturday, 17 October 2026
Friday, 16 October 2026
Thursday, 15 October 2026
Wednesday, 14 October 2026
New top story on Hacker News: Show HN: I wrote an email app that accepts only one sender per inbox
Show HN: I wrote an email app that accepts only one sender per inbox
20 by edpin2000 | 11 comments on Hacker News.
Infinite inboxes, including prefixes where you don't have to create inboxes before you use them -- they self create when you add a suffix. Three types of inboxes: - One sender. Locks to the first domain to send email (except gmail, outlook, etc where it locks to an email account for obivous reasons. It bounces everyone else. - Temporary. Lasts for a while (24h, 7days, etc) then bounces. Received messages stay or go as per your choice. - Prefix. The most powerful. Declare a prefix like "service" and then invent any suffix, like "service-netflix" or "service$bank" and it creates a new one-sender inbox locked to whoever wrote first. Bring you own domain. Bring your own AI (MCP server ready). Forwarding. Please help me test it.
20 by edpin2000 | 11 comments on Hacker News.
Infinite inboxes, including prefixes where you don't have to create inboxes before you use them -- they self create when you add a suffix. Three types of inboxes: - One sender. Locks to the first domain to send email (except gmail, outlook, etc where it locks to an email account for obivous reasons. It bounces everyone else. - Temporary. Lasts for a while (24h, 7days, etc) then bounces. Received messages stay or go as per your choice. - Prefix. The most powerful. Declare a prefix like "service" and then invent any suffix, like "service-netflix" or "service$bank" and it creates a new one-sender inbox locked to whoever wrote first. Bring you own domain. Bring your own AI (MCP server ready). Forwarding. Please help me test it.
Tuesday, 13 October 2026
New top story on Hacker News: Show HN: XY Music Notation
Show HN: XY Music Notation
12 by jmole | 10 comments on Hacker News.
I've been playing around with a new kind of isomorphic music keyboard that uses a base-12 notation, and wanted some sheet music to learn some new music for it. The idea is to represent each note in 12-TET as a number, so N ∈ (0,1,2,3,4,5,6,7,8,9,X,Y). I used codex to build a music score rendering backend based on MuseScore with custom note heads that display the pitch class of each note. I've found it pretty helpful for learning how to play my own instrument, so wanted to share in case anyone else was interested.
12 by jmole | 10 comments on Hacker News.
I've been playing around with a new kind of isomorphic music keyboard that uses a base-12 notation, and wanted some sheet music to learn some new music for it. The idea is to represent each note in 12-TET as a number, so N ∈ (0,1,2,3,4,5,6,7,8,9,X,Y). I used codex to build a music score rendering backend based on MuseScore with custom note heads that display the pitch class of each note. I've found it pretty helpful for learning how to play my own instrument, so wanted to share in case anyone else was interested.
Monday, 12 October 2026
Sunday, 11 October 2026
Saturday, 10 October 2026
Friday, 9 October 2026
Thursday, 8 October 2026
New top story on Hacker News: Show HN: TerrainSR – fast, realistic heightmap upscaling model
Show HN: TerrainSR – fast, realistic heightmap upscaling model
9 by joegibbs | 2 comments on Hacker News.
This is a model that I made for a historical game. I wanted to have a 1:1 scale model of Europe, but my problem was that 100m data was too low-res while 10m LIDAR data was patchy, took hundreds of GBs to store and was full of manmade objects like mines, buildings and so on. I trained this model on undeveloped landscape so that it can quickly add plausible erosion features, rocks, etc to the low-resolution height data and sort of reconstruct what the terrain would look like before any human interference.
9 by joegibbs | 2 comments on Hacker News.
This is a model that I made for a historical game. I wanted to have a 1:1 scale model of Europe, but my problem was that 100m data was too low-res while 10m LIDAR data was patchy, took hundreds of GBs to store and was full of manmade objects like mines, buildings and so on. I trained this model on undeveloped landscape so that it can quickly add plausible erosion features, rocks, etc to the low-resolution height data and sort of reconstruct what the terrain would look like before any human interference.
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