Miniflux-CLI – offline-first Miniflux client
Hey Hacker News, miniflux-cli developer here. I use miniflux as primary source of things to read (including hacker news, of course), but in my case I don't have stable internet connection most of the time, so I did offline-first console client for miniflux, check it out: https://sr.ht/~xn/miniflux-cli/ It syncs all feeds and entries on start and after that you can read all the content offline (including "mark as read"/"mark as unread"). The project built on go, using bbolt db, tview and official miniflux api client. Some neat features - you can set text and…
What it does
In the maker’s words, at launch
Hey Hacker News, miniflux-cli developer here. I use miniflux as primary source of things to read (including hacker news, of course), but in my case I don't have stable internet connection most of the time, so I did offline-first console client for miniflux, check it out: https://sr.ht/~xn/miniflux-cli/ It syncs all feeds and entries on start and after that you can read all the content offline (including "mark as read"/"mark as unread"). The project built on go, using bbolt db, tview and official miniflux api client. Some neat features - you can set text and background colors of each ui element and hide/show sidebar, statusbar and hotkeybar. Custom hotkeys will be available later, for now "vim-like" is used.
Does the same job
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I wrote this small client to read hackernews from my favorite editor. It's currently using an external HTTP API [0] but I'm working on my own proxy [1]. I'd love to actually scrape and cache all the info I need using lisp. However, my time constraints are keeping me away of that goal. I could definitely use some help here! :) I'm also planning to add support for comments and posting new things. Any feedback is highly appreciated! Thank you! [0] http://api.ihackernews.com/ [1] https://github.com/clarete/rhn
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I had been looking to try <500M parameter language models but you wouldn't find an API to try them anywhere, so I built this cloudflare hosted static website that hosts weights and built an inference runtime for these models that uses WebGPU and runs inference from your browser. These are only so useful in a multi-turn conversation but it's still interesting to see what you can pack in a <250mb model. I tried using ONNX versions earlier, but there were too many quirks of using them with language models and the TPS wasn't too impressive. Inspired by svenflow/webgpu-gemma, I put my codex…
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rx is a lightweight CLI and runtime that lets you deploy any function instantly as you save it in your editor. It’s fast, simple, and takes care of setting up all your cloud infrastructure. The best dev experience with everything you need built-in: - auth - permissions - payments - secrets - storage - logs - email & SMS - and way more Related beta launch tweet: https://x.com/KhalidZoabi/status/1777673531972608249 Wanted to show it to you guys, gauge interest, and get some feedback. There's a large roadmap of upcoming stuff. Feel free to DM me on X for more information!
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