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hey HN, i built this because i wanted to know what had actually photographed my street.type in any place and it finds every satellite that passed over it in the last 7 days (SGP4 on the CelesTrak catalog, runs in your browser in about half a second), then pulls the real Sentinel-2 &#x2F; Landsat &#x2F; NASA images from those passes.some fun bits:
- the pass search can&#x27;t skip a pass. checked it against a brute force on poles, the antimeridian and tiny swaths: 0 missed
- all ~17k objects in orbit are drawn on the GPU, solving Kepler&#x27;s equation every frame
- Sentinel-2 timestamps are often 5-10 min off from when the sat actually crosses your spot, which was a fun one to figure outit only says &quot;watched&quot; if a real image exists, and it doesn&#x27;t store your location.code: <a href="https:&#x2F;&#x2F;github.com&#x2F;dev-Armaan&#x2F;satellites" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dev-Armaan&#x2F;satellites</a>would love feedback, especially on what data sources to add

Show HN: Every satellite that passed over any place this week, and its photos

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CUI – Native UI components for C

Hi HN, I’m Shayan and a few months ago I started building a DB Client DBDelve with a focus on performance and just making something that feels good to use (in the spirit of Zed, Ghostty, and other tools that just feel pleasant to use).For my workflow I’ve always looked for performance, especially since some time ago I had a really outdated machine and any kind of bloat was really noticeable, I remember using DBeaver and it just crashing on me multiple times, I also had to use postGIS which just made it worse. I migrated all my essential dev tools to use the ones with performance in mind (Zed, Ghostty etc) but the only thing that was missing was DB Client. The main choices everyone has are DBeaver which is a memory hog and an overkill for most of the tasks imo. The other options like Datagrid, Beekeeper, TablePlus are either electron based so bloated and memory hogs or paid and closed-source.DBDelve 0.3.6 against DBeaver 25.3.1 on the same Postgres table, median of 5 runs each (2026-10-11, M1 Pro, 32 GB). Times are from the action to the rows rendered.<pre><code> DBDelve DBeaver
 Launch 1.1 s 5.2 s
 Idle memory 133 MB 606 MB
 1,000-row query 0.21 s 1.96 s
 1M rows, time 56 s 208 s
 1M rows, memory [1] 4.9 GB 17 GB
</code></pre>
[1] The whole 1M-row, 100-column table pulled into memory on purpose, with the row limit off. Not a normal use case; DBeaver&#x27;s heap limit had to be raised manually for the benchmark.Scrolling perf with 1 million rows loaded with 100 columns each: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;V2MOhJYFqIE" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;V2MOhJYFqIE</a>It has most of the features most devs would need for 90% of their workflow plus some more I thought would be a nice touch:
Readonly, read-write and Full Access modes
Glass themes (If you’re into them, I am)
Keyboard focused with every keybinding customizable
Organization of connections into projectsMe and some other folks have been daily driving it for more than a month now and most good feedback comes on it having a really simple UI to navigate, very stable for its age and the performance of course. I’m also sharing here because those people tell me this has potential to grow so I’m trying my hand at distributing it.Just want to give a huge shoutout here to the Zed team for GPUI, it&#x27;s a breeze to work with if you just get through them not updating the crate officially on crates.io but the community has found the solutions for it, you just have to dig deep for it. It performs extremely well and just the HTML-like structure of it, makes it easy to understand for someone from a web dev background and agents are very good at writing it too. GPUI component also solves a lot of problems with having a good component library we can use. I think for anyone starting a GPUI project now, GPUI-kit makes a lot of sense, it just bundles GPUI, GPUI-component together and has some optimizations adding retained mode which is experimental but could provide a lot of benefit, so think all things considered it should be the default way.The major optimization I did was just lowering the memory overhead by using packed rows which reduced the memory usage by 40% on large datasets (8.1GB to 4.9GB on a 4GB table loaded in app), everything else came bundled in with Rust and GPUI mostly or they just made it very easy.Limitations:
It&#x27;s not signed and notarized, identity verification from apple&#x27;s side has been a nightmare but it should be signed soon.
Don’t expect feature parity with more mature clients for now, the general direction of this right now is the zed way of adding features in but after making sure the core workflows are done with a high quality.Do give it a try, you can import your connections from dbeaver and tableplus.<a href="https:&#x2F;&#x2F;github.com&#x2F;ShayanAbbas1&#x2F;dbdelve" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ShayanAbbas1&#x2F;dbdelve</a>

Show HN: DBDelve – Open-Source DB Client Made with Rust and GPUI

Claude Fable 5.2 Scores 65 on Artificial Analysis, Highest So Far