The best Hacker News stories from Show from the past day
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Show HN: Marmot – Single-binary data catalog (no Kafka, no Elasticsearch)
Show HN: Marmot – Single-binary data catalog (no Kafka, no Elasticsearch)
Show HN: Flowctl – Open-source self-service workflow automation platform
Flowctl is a self-service platform that gives users secure access to complex workflows, all in a single binary. These workflows could be anything, granting SSH access to an instance, provisioning infra, or custom business process automation. The executor paradigm in flowctl makes it domain-agnostic.<p>This initial release includes:
- SSO with OIDC and RBAC
- Execution on remote nodes via SSH (fully agentless)
- Approvals
- Cron-based scheduling
- Flow editor UI
- Encrypted credentials and secrets store
- Docker and Script executors
- Namespaces<p>I built this because I needed a simple tool to manage my homelab while traveling, something that acts as a UI for scripts. At work, I was also looking for tools to turn repetitive ops/infra tasks into self-service offerings. I tried tools like Backstage and Rundeck, but they were either too complex, or the OSS versions lacked important features.<p>Flowctl can simply be described as a pipeline (like CI/CD systems) that people can trigger on-demand with custom inputs.<p>Would love to hear how you might use something like this!<p>Demo - <a href="https://demo.flowctl.net" rel="nofollow">https://demo.flowctl.net</a><p>Homepage - <a href="https://flowctl.net" rel="nofollow">https://flowctl.net</a><p>GitHub - <a href="https://github.com/cvhariharan/flowctl" rel="nofollow">https://github.com/cvhariharan/flowctl</a>
Show HN: I Built Tinyfocus – A Minimal Tool to Help Solo Founders Focus
Hi HN,<p>I just launched Tinyfocus, a small productivity tool designed specifically for solo founders and builders. The goal is simple: help you focus on what matters and get more done in less time.<p>Here’s what Tinyfocus does:<p>Lets you track your top tasks and prioritize efficiently.<p>Provides micro dashboards to keep your daily focus in check.<p>Lightweight, no distractions, no fluff.<p>I built it entirely by myself, iterating in public, and I wanted to share it with the community to get feedback.<p>It’s been crazy seeing how a simple tool can make such a difference in daily focus, especially when you’re juggling multiple projects as a solo founder.<p>Check it out here: tinyfoc.us<p>I’d love to hear your thoughts – any feedback, feature ideas, or bugs you notice.<p>Thanks!
Show HN: RFC Hub
I've worked at several companies during the past two decades and I kept encountering the same issues with internal technical proposals:<p>- Authors would change a spec after I started writing code<p>- It's hard to find what proposals would benefit from my review<p>- It's hard to find the right person to review my proposals<p>- It's not always obvious if a proposal has reached consensus (e.g. buried comments)<p>- I'm not notified if a proposal I approved is now ready to be worked on<p>And that's just scratching the surface. The most popular solutions (like Notion or Google Drive + Docs) mostly lack semantics. For example it's easy as a human to see a table in a document with rows representing reviewers and a checkbox representing review acceptance but it's hard to formally extract meaning and prevent a document from "being published" when criteria isn't met.<p>RFC Hub aims to solve these issues by building an easy to use interface around all the metadata associated with technical proposals instead of containing it textually within the document itself.<p>The project is still under heavy development as I work on it most nights and weekends. The next big feature I'm planning is proposal templates and the ability to refer to documents as something other than RFCs (Request for Comments). E.g. a company might have a UIRFC for GUI work (User Interface RFCs), a DBADR (Database Architecture Decision Record), etc. And while there's a built-in notification system I'm still working on a Slack integration. Auth works by sending tokens via email but of course RFC Hub needs Google auth.<p>Please let me know what you think!
Show HN: RFC Hub
I've worked at several companies during the past two decades and I kept encountering the same issues with internal technical proposals:<p>- Authors would change a spec after I started writing code<p>- It's hard to find what proposals would benefit from my review<p>- It's hard to find the right person to review my proposals<p>- It's not always obvious if a proposal has reached consensus (e.g. buried comments)<p>- I'm not notified if a proposal I approved is now ready to be worked on<p>And that's just scratching the surface. The most popular solutions (like Notion or Google Drive + Docs) mostly lack semantics. For example it's easy as a human to see a table in a document with rows representing reviewers and a checkbox representing review acceptance but it's hard to formally extract meaning and prevent a document from "being published" when criteria isn't met.<p>RFC Hub aims to solve these issues by building an easy to use interface around all the metadata associated with technical proposals instead of containing it textually within the document itself.<p>The project is still under heavy development as I work on it most nights and weekends. The next big feature I'm planning is proposal templates and the ability to refer to documents as something other than RFCs (Request for Comments). E.g. a company might have a UIRFC for GUI work (User Interface RFCs), a DBADR (Database Architecture Decision Record), etc. And while there's a built-in notification system I'm still working on a Slack integration. Auth works by sending tokens via email but of course RFC Hub needs Google auth.<p>Please let me know what you think!
Show HN: RFC Hub
I've worked at several companies during the past two decades and I kept encountering the same issues with internal technical proposals:<p>- Authors would change a spec after I started writing code<p>- It's hard to find what proposals would benefit from my review<p>- It's hard to find the right person to review my proposals<p>- It's not always obvious if a proposal has reached consensus (e.g. buried comments)<p>- I'm not notified if a proposal I approved is now ready to be worked on<p>And that's just scratching the surface. The most popular solutions (like Notion or Google Drive + Docs) mostly lack semantics. For example it's easy as a human to see a table in a document with rows representing reviewers and a checkbox representing review acceptance but it's hard to formally extract meaning and prevent a document from "being published" when criteria isn't met.<p>RFC Hub aims to solve these issues by building an easy to use interface around all the metadata associated with technical proposals instead of containing it textually within the document itself.<p>The project is still under heavy development as I work on it most nights and weekends. The next big feature I'm planning is proposal templates and the ability to refer to documents as something other than RFCs (Request for Comments). E.g. a company might have a UIRFC for GUI work (User Interface RFCs), a DBADR (Database Architecture Decision Record), etc. And while there's a built-in notification system I'm still working on a Slack integration. Auth works by sending tokens via email but of course RFC Hub needs Google auth.<p>Please let me know what you think!
Show HN: I built a 1.8MB native app with self-built UI, vision and AI libraries
Show HN: An AI zettelkasten that extracts ideas from articles, videos, and PDFs
Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote Jargon - an AI-managed zettelkasten that reads articles, papers, and YouTube videos, extracts the key ideas, and automatically links related concepts together.<p>Demo video: <a href="https://youtu.be/W7ejMqZ6EUQ" rel="nofollow">https://youtu.be/W7ejMqZ6EUQ</a><p>Repo: <a href="https://github.com/schoblaska/jargon" rel="nofollow">https://github.com/schoblaska/jargon</a><p>You can paste an article, PDF link, or YouTube video to parse, or ask questions directly and it'll find its own content. Sources get summarized, broken into insight cards, and embedded for semantic search. Similar ideas automatically cluster together. Each insight can spawn research threads - questions that trigger web searches to pull in related content, which flows through the same pipeline.<p>You can explore the graph of linked ideas directly, or ask questions and it'll RAG over your whole library plus fresh web results.<p>Jargon uses Rails + Hotwire with Falcon for async processing, pgvector for embeddings, Exa for neural web search, crawl4ai as a fallback scraper, and pdftotext for academic papers.
Show HN: An AI zettelkasten that extracts ideas from articles, videos, and PDFs
Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote Jargon - an AI-managed zettelkasten that reads articles, papers, and YouTube videos, extracts the key ideas, and automatically links related concepts together.<p>Demo video: <a href="https://youtu.be/W7ejMqZ6EUQ" rel="nofollow">https://youtu.be/W7ejMqZ6EUQ</a><p>Repo: <a href="https://github.com/schoblaska/jargon" rel="nofollow">https://github.com/schoblaska/jargon</a><p>You can paste an article, PDF link, or YouTube video to parse, or ask questions directly and it'll find its own content. Sources get summarized, broken into insight cards, and embedded for semantic search. Similar ideas automatically cluster together. Each insight can spawn research threads - questions that trigger web searches to pull in related content, which flows through the same pipeline.<p>You can explore the graph of linked ideas directly, or ask questions and it'll RAG over your whole library plus fresh web results.<p>Jargon uses Rails + Hotwire with Falcon for async processing, pgvector for embeddings, Exa for neural web search, crawl4ai as a fallback scraper, and pdftotext for academic papers.
Show HN: An AI zettelkasten that extracts ideas from articles, videos, and PDFs
Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote Jargon - an AI-managed zettelkasten that reads articles, papers, and YouTube videos, extracts the key ideas, and automatically links related concepts together.<p>Demo video: <a href="https://youtu.be/W7ejMqZ6EUQ" rel="nofollow">https://youtu.be/W7ejMqZ6EUQ</a><p>Repo: <a href="https://github.com/schoblaska/jargon" rel="nofollow">https://github.com/schoblaska/jargon</a><p>You can paste an article, PDF link, or YouTube video to parse, or ask questions directly and it'll find its own content. Sources get summarized, broken into insight cards, and embedded for semantic search. Similar ideas automatically cluster together. Each insight can spawn research threads - questions that trigger web searches to pull in related content, which flows through the same pipeline.<p>You can explore the graph of linked ideas directly, or ask questions and it'll RAG over your whole library plus fresh web results.<p>Jargon uses Rails + Hotwire with Falcon for async processing, pgvector for embeddings, Exa for neural web search, crawl4ai as a fallback scraper, and pdftotext for academic papers.
Show HN: Choose your own adventure style Presentation
Hello good folks!<p>So... TL;DR: I find presentations boring. I find Choose your own adventure style books not boring. I married the two. Now, you can have presentations where the people you present two have the ability to choose how your presentation proceeds! And you can construct your presentation using plain markdown, start a server, your audience opens the `/voter` link you open the `/presenter` link and start your presentation. Whenever there is a question, they will choose and the presentation proceeds according to the choice.<p>Longer version:<p>In the years I partook on presentations I always liked the ones that are more interactive. Not in a I ask questions and then wait uncomfortably for people to shout out something, no. In a way where I, as a viewer, got something to do! Makes me more interested in the presentation as well, and I'll be learning and remembering things more as well.<p>I also like choose your own adventure type of books. So I wondered, how could I make these two come together? So I wrote this little tool called adventure-voter. Not a very good name, but meh... The point is that you'll have a backend and a frontend to deal with votes and deal with following forks in your presentation. Going back from a fork if the fork ended up in death or a failed route. ( you procastinated, your backend didn't start, you server didn't come up, etc whatever makes sense as an end in your presentation ). And then you can explore a different route. Imagine, you are presenting something about Kubernetes. And one of the questions is, okay you are now bringing up etcd. How do you configure it? Do you... and the vote begins.<p>This makes the presentation a little bit more enjoyable I think. Also, the framework is super easy. You have your presentation in Markdown and the frontend is a lightweight parser with tailwind that does things and makes it look relatively nice. ( I'm not a frontend dev, sorry ). And you can link together steps and stories with `next: slide-1b` or whatever.<p>Granted, you'd have to work a bit more to get a presentation that makes sense, but honestly, I think it will make for a very interesting talk. Something I'm aiming to do on the next KubeCon in Atlanta. I'm going to be using this framework to present something. ( If I get in. :)) )<p>Lastely, I want the presentation to be enjoyable and not boring. :) And that's my main goal. On KubeCon you sit through presentation after presentation after presentation and hopefully this one will be ( if I get accepted ) something that you enjoy and don't fall asleep on. :)<p>I hope this is useful. Enjoy folks. :)
Show HN: An LLM-Powered Tool to Catch PCB Schematic Mistakes
Show HN: Fixing Google Nano Banana Pixel Art with Rust
Show HN: Fixing Google Nano Banana Pixel Art with Rust
Show HN: Real-time system that tracks how news spreads across 200k websites
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web.<p>It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up.<p>Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful.<p>Live demo: <a href="https://yandori.io/news-flow/" rel="nofollow">https://yandori.io/news-flow/</a>
Show HN: Real-time system that tracks how news spreads across 200k websites
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web.<p>It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up.<p>Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful.<p>Live demo: <a href="https://yandori.io/news-flow/" rel="nofollow">https://yandori.io/news-flow/</a>
Show HN: Real-time system that tracks how news spreads across 200k websites
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web.<p>It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up.<p>Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful.<p>Live demo: <a href="https://yandori.io/news-flow/" rel="nofollow">https://yandori.io/news-flow/</a>
Show HN: Boing
Show HN: Boing