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France's homegrown open source online office suite

https://github.com/suitenumerique
428•nar001•4h ago•203 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
133•bookofjoe•1h ago•109 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
437•theblazehen•2d ago•157 comments

Leisure Suit Larry's Al Lowe on model trains, funny deaths and Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
26•thelok•1h ago•2 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
86•AlexeyBrin•5h ago•16 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
778•klaussilveira•19h ago•241 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
35•vinhnx•3h ago•4 comments

First Proof

https://arxiv.org/abs/2602.05192
38•samasblack•2h ago•23 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
19•mellosouls•2h ago•17 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
56•onurkanbkrc•4h ago•3 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1027•xnx•1d ago•584 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
172•alainrk•4h ago•226 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
168•jesperordrup•10h ago•62 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
24•rbanffy•4d ago•5 comments

StrongDM's AI team build serious software without even looking at the code

https://simonwillison.net/2026/Feb/7/software-factory/
17•simonw•2h ago•15 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
103•videotopia•4d ago•27 comments

Vinklu Turns Forgotten Plot in Bucharest into Tiny Coffee Shop

https://design-milk.com/vinklu-turns-forgotten-plot-in-bucharest-into-tiny-coffee-shop/
5•surprisetalk•5d ago•0 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
12•marklit•5d ago•0 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
265•isitcontent•20h ago•33 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
152•matheusalmeida•2d ago•42 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
277•dmpetrov•20h ago•147 comments

Ga68, a GNU Algol 68 Compiler

https://fosdem.org/2026/schedule/event/PEXRTN-ga68-intro/
35•matt_d•4d ago•10 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
546•todsacerdoti•1d ago•263 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
418•ostacke•1d ago•110 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
65•helloplanets•4d ago•69 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
364•vecti•22h ago•164 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
16•sandGorgon•2d ago•4 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
338•eljojo•22h ago•207 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
457•lstoll•1d ago•301 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
372•aktau•1d ago•195 comments
Open in hackernews

Show HN: High-resolution surface analysis with Lidar data

https://github.com/r-follador/delta-relief
66•folli•8mo ago

Comments

schobi•8mo ago
Thanks for sharing!

The description confused me, as it describes the use of a real Lidar measurements to detect "change" in the terrain. But certainly, it can't be a temporal change before and after... to detect medieval settings in the data. Is the area still changing differentlybetween scans over multi year's? I don't think so.

I think this is visualization code highlighting natural VS. human train structures, at known locations of old settlements? Showing different approaches on how to visualize the man-made heights in the terrain.

But still, I'm lost how this could help finding new ones..

folli•8mo ago
I think the examples should make it more clear. Thanks to the high resolution of the data, you can see subtle changes in the slope (aka relief aka microtopography) that could hint to underlying remains of human settlements (usually some suspicious geometric patterns that you would not expect in a natural terrain).

See also here for an in-depth discussion on the potential use of such data: https://www.mdpi.com/2072-4292/15/6/1569

How do you suggest to change the description to make it less confusing?

folli•8mo ago
Here's another article about the use of such data in South America: https://www.nationalgeographic.com/history/article/maya-lase...

Of course, nothing so exciting to be discovered in Switzerland anymore ;)

weinzierl•8mo ago
"Buildings and vegetation are removed, revealing the underlying topography."

I understand how vegetation could be removed, but buildings? How is that accomplished?

folli•8mo ago
SwissTopo has a separate dataset of buildings and structures in Switzerland, so they basically just subtract it from the LiDAR data.
Geo_ge•8mo ago
A raw point cloud is run through a series of processing steps to label each point with a class, e.g. "Ground", "Low/Medium/High Vegetation", "Building", "Transmission Tower", etc.

https://desktop.arcgis.com/en/arcmap/latest/manage-data/las-...

There will be a different algorithm for each feature class. For example, points that are part of a building might be identified by finding groups of points that form a very flat surface. ML models can also do this based on training data.

https://pro.arcgis.com/en/pro-app/latest/tool-reference/3d-a...

The final digital elevation model (DEM) is then just taking the "Ground" class from the classified point cloud and using them to triangulate a surface. This differs from a digital surface model (DSM), which will triangulate a surface based on ground+building+vegetation points.

thebruce87m•8mo ago
Removing vegetation seems like a harder problem than buildings. Buildings generally have cuboids and other standard shapes, but how do you determine the difference between small trees, big trees, bracken etc?

It the Scotland we have heather that can coat hills but I’m not sure that you’d be able to tell the difference between that and a forest canopy to assume a height and then subtract. Maybe there’s more than the point cloud to work with.

Geo_ge•8mo ago
Aerial survey LiDAR can process multiple returns from a single laser pulse. So, some energy might be reflected back from a leaf, but some energy will pass through (or around) the leaf, hit the ground, then reflect back to the sensor. Some systems can record 5+ points from a single laser pulse.

With this information, you can filter the point cloud to only include points from the final return, which is likely to be the ground/a solid surface unless the vegetation is very dense.

0_____0•8mo ago
You don't even need multireturn, typically your point cloud will have points from the tree or whatever plus some that returned from the structure behind it.
lyu07282•8mo ago
> LiDAR has some interesting use cases in archaeology (Caspari, 2023), particularly for uncovering man-made structures that are hidden beneath vegetation or subtle terrain changes. It allows archaeologists to identify features such as ancient roads, walls, building foundations, and agricultural terraces that may be invisible to the naked eye or conventional aerial photography.

Wasn't this also how the cities in the Amazon were discovered as well? These maps are fascinating. I can see ancient structures everywhere! Then again I'm not a trained archeologist.