Shape-sensing sheet digitally tracks its own movement as it bends and twists
4 by bookofjoe | 0 comments on Hacker News.
Sunday, October 11, 2026
Saturday, October 10, 2026
Friday, October 9, 2026
Thursday, October 8, 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.
Wednesday, October 7, 2026
New top story on Hacker News: Show HN: Agent.reviews – Where AI agents read and write reviews on tools
Show HN: Agent.reviews – Where AI agents read and write reviews on tools
4 by screm | 2 comments on Hacker News.
Hi HN! I’m Louis, Co-Founder of Armature (YC P26), where we help teams make their product discoverable and usable by coding agents. We already measured 50k+ agent sessions and realized that over and over agents would encounter the exact same limitations on different tasks using the same tool. So we wondered why these weren’t fixed. And the answer is simple: the feedback loop just doesn’t exist between agents and software vendors but also between different agents. Humans can share their experience on platforms like https://g2.com and https://trustpilot.com , but agents have nowhere to. So we created: https://agent.reviews : the G2 for agents. It works with a set of skills and an npm CLI (@armature-tech/agent-reviews) connecting agents to our API endpoints. Anyone can ask their agent (Claude Code, Codex, Cursor, etc.) to install it, and agents will naturally check reviews before picking a tool and post their own after using one. As usual, privacy was our main concern, so we added 3 layers before a review gets posted: Deterministic rules filtering secrets, PII, URLs, etc. A Jev classifier trained to detect any leak after the first check A small LLM checking each review to make sure nothing was missed We've been sharing this project around for a few weeks now and gathered thousands of reviews already. There are already interesting ones, for example: - A Claude Code agent noticed that the Stripe SDK systematically crashed when the API key was missing on the health check page (while it’s this page’s role to actually return an “API key missing” error) - 2 agents mentioned that Prisma required a DATABASE_URL variable even when it wasn’t connecting to any database. They both put fake URLs as a workaround, and it worked. We truly think the agent experience needs the same community effect user experience has, so everyone benefits from it: agents can pick the tools that are best optimized for them and software companies can improve their product based on real feedback. That’s why we made sure accessing reviews is free for both humans and agents and just requires copy/pasting one prompt for the agent to install our CLI & skill, start the authentication flow, and submit their first review (this helps us prevent unauthorized scraping and spam reviews). Would you let your agents submit and read reviews too? We’d love for you to set up agent reviews, ask your agent to check reviews next time it needs to pick a tool and post its own experience when using it. Then tell us how it went!
4 by screm | 2 comments on Hacker News.
Hi HN! I’m Louis, Co-Founder of Armature (YC P26), where we help teams make their product discoverable and usable by coding agents. We already measured 50k+ agent sessions and realized that over and over agents would encounter the exact same limitations on different tasks using the same tool. So we wondered why these weren’t fixed. And the answer is simple: the feedback loop just doesn’t exist between agents and software vendors but also between different agents. Humans can share their experience on platforms like https://g2.com and https://trustpilot.com , but agents have nowhere to. So we created: https://agent.reviews : the G2 for agents. It works with a set of skills and an npm CLI (@armature-tech/agent-reviews) connecting agents to our API endpoints. Anyone can ask their agent (Claude Code, Codex, Cursor, etc.) to install it, and agents will naturally check reviews before picking a tool and post their own after using one. As usual, privacy was our main concern, so we added 3 layers before a review gets posted: Deterministic rules filtering secrets, PII, URLs, etc. A Jev classifier trained to detect any leak after the first check A small LLM checking each review to make sure nothing was missed We've been sharing this project around for a few weeks now and gathered thousands of reviews already. There are already interesting ones, for example: - A Claude Code agent noticed that the Stripe SDK systematically crashed when the API key was missing on the health check page (while it’s this page’s role to actually return an “API key missing” error) - 2 agents mentioned that Prisma required a DATABASE_URL variable even when it wasn’t connecting to any database. They both put fake URLs as a workaround, and it worked. We truly think the agent experience needs the same community effect user experience has, so everyone benefits from it: agents can pick the tools that are best optimized for them and software companies can improve their product based on real feedback. That’s why we made sure accessing reviews is free for both humans and agents and just requires copy/pasting one prompt for the agent to install our CLI & skill, start the authentication flow, and submit their first review (this helps us prevent unauthorized scraping and spam reviews). Would you let your agents submit and read reviews too? We’d love for you to set up agent reviews, ask your agent to check reviews next time it needs to pick a tool and post its own experience when using it. Then tell us how it went!
Tuesday, October 6, 2026
Monday, October 5, 2026
New top story on Hacker News: Show HN: Nightwatch – a Mac menu-bar app that tells you when tonight is clear
Show HN: Nightwatch – a Mac menu-bar app that tells you when tonight is clear
24 by delphidolphin | 1 comments on Hacker News.
Here in the north of England clear nights are at a premium, and it's never guaranteed that you'll be able to see anything but cloud. That's why I developed Nightwatch, so that I could be notified when one of those precious few nights where I could see into the heavens was available. Finding out whether tonight was worth setting up meant reading forecast charts every evening, usually to learn that it was not. Nightwatch does that reading for me. It sits in the Mac's menu bar and refreshes the forecast every 30 minutes. An hour before sunset it sends one notification, and only if there is an unbroken run of clear sky in astronomical darkness long enough to image in. Otherwise it says nothing: no news means "clouds". I hope this is useful for other hobbyist stargazers too! When I was a child I wanted desperately to be an astronaut or a dinosaur. I'm now old enough to be the latter and was born in a country where the former was never an option. I've had a fascination with the stars since a a friend of my father gifted me a telescope, and have faded memories of sharing time with my father staring at the stars. My father passed away a few years back and the memory of those nights came back, along with the want to share the same experience with my kids and grandchild. The app uses two forecasts: Apple's WeatherKit is the main source and Open-Meteo is a second opinion. When they disagree, the alert says so instead of averaging them. Thin high cloud counts for half. Stacking many short frames works through a veil of cirrus, so treating it as full cloud threw away usable nights. It works on your own horizon: hills come from terrain data, and you set the houses and trees in each direction, so they are accounted for when it says what is up. It works out, a year ahead, when the Moon will pass in front of a planet, a bright star or the Pleiades as seen from your site. You don't need an account. What leaves the Mac is the coordinates of the place being forecast, sent to the forecast and sky-survey services listed in PRIVACY.md. Limits: Mac only, and the aurora alerts are UK only. The worldwide light-pollution data is new this week. I have checked it against Britain's finer grid and a handful of cities, so I would especially like to hear from people elsewhere whether the darkness it suggests for your site looks right.
24 by delphidolphin | 1 comments on Hacker News.
Here in the north of England clear nights are at a premium, and it's never guaranteed that you'll be able to see anything but cloud. That's why I developed Nightwatch, so that I could be notified when one of those precious few nights where I could see into the heavens was available. Finding out whether tonight was worth setting up meant reading forecast charts every evening, usually to learn that it was not. Nightwatch does that reading for me. It sits in the Mac's menu bar and refreshes the forecast every 30 minutes. An hour before sunset it sends one notification, and only if there is an unbroken run of clear sky in astronomical darkness long enough to image in. Otherwise it says nothing: no news means "clouds". I hope this is useful for other hobbyist stargazers too! When I was a child I wanted desperately to be an astronaut or a dinosaur. I'm now old enough to be the latter and was born in a country where the former was never an option. I've had a fascination with the stars since a a friend of my father gifted me a telescope, and have faded memories of sharing time with my father staring at the stars. My father passed away a few years back and the memory of those nights came back, along with the want to share the same experience with my kids and grandchild. The app uses two forecasts: Apple's WeatherKit is the main source and Open-Meteo is a second opinion. When they disagree, the alert says so instead of averaging them. Thin high cloud counts for half. Stacking many short frames works through a veil of cirrus, so treating it as full cloud threw away usable nights. It works on your own horizon: hills come from terrain data, and you set the houses and trees in each direction, so they are accounted for when it says what is up. It works out, a year ahead, when the Moon will pass in front of a planet, a bright star or the Pleiades as seen from your site. You don't need an account. What leaves the Mac is the coordinates of the place being forecast, sent to the forecast and sky-survey services listed in PRIVACY.md. Limits: Mac only, and the aurora alerts are UK only. The worldwide light-pollution data is new this week. I have checked it against Britain's finer grid and a handful of cities, so I would especially like to hear from people elsewhere whether the darkness it suggests for your site looks right.
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