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Show HN: Holy Grail: Open-Source Autonomous Development Agent

https://github.com/dakotalock/holygrailopensource
1•Moriarty2026•6m ago•1 comments

Show HN: Minecraft Creeper meets 90s Tamagotchi

https://github.com/danielbrendel/krepagotchi-game
1•foxiel•14m ago•1 comments

Show HN: Termiteam – Control center for multiple AI agent terminals

https://github.com/NetanelBaruch/termiteam
1•Netanelbaruch•14m ago•0 comments

The only U.S. particle collider shuts down

https://www.sciencenews.org/article/particle-collider-shuts-down-brookhaven
1•rolph•16m ago•1 comments

Ask HN: Why do purchased B2B email lists still have such poor deliverability?

1•solarisos•17m ago•1 comments

Show HN: Remotion directory (videos and prompts)

https://www.remotion.directory/
1•rokbenko•19m ago•0 comments

Portable C Compiler

https://en.wikipedia.org/wiki/Portable_C_Compiler
2•guerrilla•21m ago•0 comments

Show HN: Kokki – A "Dual-Core" System Prompt to Reduce LLM Hallucinations

1•Ginsabo•22m ago•0 comments

Software Engineering Transformation 2026

https://mfranc.com/blog/ai-2026/
1•michal-franc•23m ago•0 comments

Microsoft purges Win11 printer drivers, devices on borrowed time

https://www.tomshardware.com/peripherals/printers/microsoft-stops-distrubitng-legacy-v3-and-v4-pr...
3•rolph•23m ago•1 comments

Lunch with the FT: Tarek Mansour

https://www.ft.com/content/a4cebf4c-c26c-48bb-82c8-5701d8256282
2•hhs•26m ago•0 comments

Old Mexico and her lost provinces (1883)

https://www.gutenberg.org/cache/epub/77881/pg77881-images.html
1•petethomas•30m ago•0 comments

'AI' is a dick move, redux

https://www.baldurbjarnason.com/notes/2026/note-on-debating-llm-fans/
4•cratermoon•31m ago•0 comments

The source code was the moat. But not anymore

https://philipotoole.com/the-source-code-was-the-moat-no-longer/
1•otoolep•31m ago•0 comments

Does anyone else feel like their inbox has become their job?

1•cfata•31m ago•1 comments

An AI model that can read and diagnose a brain MRI in seconds

https://www.michiganmedicine.org/health-lab/ai-model-can-read-and-diagnose-brain-mri-seconds
2•hhs•34m ago•0 comments

Dev with 5 of experience switched to Rails, what should I be careful about?

1•vampiregrey•37m ago•0 comments

AlphaFace: High Fidelity and Real-Time Face Swapper Robust to Facial Pose

https://arxiv.org/abs/2601.16429
1•PaulHoule•38m ago•0 comments

Scientists discover “levitating” time crystals that you can hold in your hand

https://www.nyu.edu/about/news-publications/news/2026/february/scientists-discover--levitating--t...
2•hhs•40m ago•0 comments

Rammstein – Deutschland (C64 Cover, Real SID, 8-bit – 2019) [video]

https://www.youtube.com/watch?v=3VReIuv1GFo
1•erickhill•40m ago•0 comments

Tell HN: Yet Another Round of Zendesk Spam

4•Philpax•40m ago•0 comments

Postgres Message Queue (PGMQ)

https://github.com/pgmq/pgmq
1•Lwrless•44m ago•0 comments

Show HN: Django-rclone: Database and media backups for Django, powered by rclone

https://github.com/kjnez/django-rclone
2•cui•47m ago•1 comments

NY lawmakers proposed statewide data center moratorium

https://www.niagara-gazette.com/news/local_news/ny-lawmakers-proposed-statewide-data-center-morat...
2•geox•48m ago•0 comments

OpenClaw AI chatbots are running amok – these scientists are listening in

https://www.nature.com/articles/d41586-026-00370-w
3•EA-3167•49m ago•0 comments

Show HN: AI agent forgets user preferences every session. This fixes it

https://www.pref0.com/
6•fliellerjulian•51m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model

https://github.com/ghostty-org/ghostty/pull/10559
2•DustinEchoes•53m ago•0 comments

Show HN: SSHcode – Always-On Claude Code/OpenCode over Tailscale and Hetzner

https://github.com/sultanvaliyev/sshcode
1•sultanvaliyev•53m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/microsoft-appointed-a-quality-czar-he-has-no-direct-reports-and-no-b...
3•RickJWagner•55m ago•0 comments

Multi-agent coordination on Claude Code: 8 production pain points and patterns

https://gist.github.com/sigalovskinick/6cc1cef061f76b7edd198e0ebc863397
1•nikolasi•55m ago•0 comments
Open in hackernews

What Is "Seeing" in Astrophotography? The Science Behind Atmospheric Turbulence

https://astroimagery.com/astronomy/what-does-seeing-mean-in-astrophotography/
20•karlperera•8mo ago

Comments

karlperera•8mo ago
Most people think better telescopes or cameras are the key to sharper astrophotography, but there’s a hidden culprit that often matters more: “seeing.” I always wondered why, on some nights, even the best gear produced blurry, shimmering images—especially of planets and the Moon. It turns out the real limit is the turbulence in Earth’s atmosphere, which bends and distorts light in unpredictable ways.

In this post, I break down what “seeing” actually means, how it’s measured (arcseconds!), and why even perfect-looking nights can ruin your images. I also share some surprising lessons I learned about how geography, altitude, and even the time of night can make or break your results. If you’ve ever been frustrated by fuzzy details or want to understand the real physics behind the “twinkle” of stars, I’d love to hear your experiences and tips.

Let’s discuss: How do you deal with seeing, and have you found any tricks that actually work?

barbazoo•8mo ago
> Most people think better telescopes or cameras are the key to sharper astrophotography, but there’s a hidden culprit that often matters more: “seeing.” I always wondered why, on some nights, even the best gear produced blurry, shimmering images—especially of planets and the Moon. It turns out the real limit is the turbulence in Earth’s atmosphere, which bends and distorts light in unpredictable ways. In this post, I break down what “seeing” actually means, how it’s measured (arcseconds!), and why even perfect-looking nights can ruin your images. I also share some surprising lessons I learned about how geography, altitude, and even the time of night can make or break your results. If you’ve ever been frustrated by fuzzy details or want to understand the real physics behind the “twinkle” of stars, I’d love to hear your experiences and tips.

> Let’s discuss: How do you deal with seeing, and have you found any tricks that actually work?

Reads AI generated to me. https://gptzero.me/ agrees.

AStonesThrow•8mo ago
I've been using The Clear Sky Chart to predict cloudy conditions. There is an hourly "Seeing" rating corresponding to the cloud-cover forecasts.

https://www.cleardarksky.com/csk/

gattr•8mo ago
Here's a comparison of bad and good seeing (captured with a D = 90 mm telescope with a solar Hα filter):

https://app.astrobin.com/u/GreatAttractor?i=246828#gallery

Technically speaking, in the first half of the vid the incoming wavefronts are distorted (the Fried parameter r₀ is smaller than the telescope's diameter D) and do not focus to a clean, tight Airy pattern ([1]). In the second half, r₀ is above D and we're left with just some rubber-membrane distortion (the wavefronts are tilted this way and that, but remain mostly planar), which can be corrected in software.

[1] https://en.wikipedia.org/wiki/Airy_disk

barbazoo•8mo ago
> Excellent comparison! Thx for sharing :-)

> No problem! For all those occasions when laypeople ask about your imaging and the importance of seeing comes up.

> 26 Jul 2016

Love that this resource has been kept alive for almost 10 years now serving its very purpose.

dylan604•8mo ago
I've been out in very poor seeing conditions, and it is just miserable. I was only doing wide angle and not using a scope, but the sky was so turbulent that I couldn't get proper focus. For those of us in the northern hemisphere, the best time for imaging the center of the milky way lines up with summer. Summer is just horrible seeing conditions in my area with >100° temps deep into the night with high humidity levels. Every now and then a new moon lines up with a nice thunderstorm which clears out the air and brings down the temps. Anyone want to take bets on the over/under of how often that happens?!
karlperera•8mo ago
Just read up about the airy disk. That's quite interesting. Seeing can be such a complicated subject and so much maths is involved in astronomy. When I deal with the subject, I always try to simplify things and get away from the maths. For astrophotographers such as myself I believe we shouldn't dwell too much on all the unknowns we cannot control and I generally stay away from the maths. I'm more interested in the practicalities of improving the quality of the image with the conditions as they are.