Show HN: RDST – A local agent that watches Postgres/MySQL for query regressions https://ift.tt/ZFGqEYl

Show HN: RDST – A local agent that watches Postgres/MySQL for query regressions We noticed during the course of many many years of DBA related work that fixes to database issues and queries are always reactive. An entire database can fall over extremely quickly when an unbounded query grows without warning. Traditionally, DBAs hear complaints of slowness and follow a methodical process: - manually browse pg_stats or other database related performance internal tables - see which queries are slowest - figure out what indexes are missing - figure out which indexes are actually bad and slowing down writes - painstakingly implement a fix In the age of cheap intelligence, we decided that there is no reason we can’t have an always-on agent that is designed to do this job for you. Databases need something or someone that is always watching with a massive amount of contextual understanding to be able to take quick actions. We’ve watched the alternative play out repeatedly. One of our users’s checkout page went from loading instantly to taking 11 seconds in a single night with no code change. How? Well somehow their order table grew by 40M rows because BI team had injected historical data and suddenly postgres started doing full table scans. Sometimes routine operations have unintended results and can easily destroy your database. We wanted to catch these kinds of regressions instantly. So we built RDST. RDST is a desktop agent that runs on your PC and connects to PostgreSQL / MYSQL (read only) and compares every query against its own performance every minute. Every expensive query is automatically EXPLAIN ANALYZED, stripped of PII and sent to U.S. based frontier or open model providers to analyze which indexes are missing, how the query could be rewritten, and provides the fix. We then run a classifier model (JEV) to decide if you should be notified (is this standard behavior for this particular query?), and the full history of the query performance is kept for years. RDST also keeps track of your entire database health in general, and recommends more fixes than simply bad queries. Since it runs locally we can keep the database credentials stored in your OS Keychain (RDST never keeps them in its own storage layer), and the connection goes straight to your database (using a jump host or SSH tunnel for private connections). You can read more about how we handle data especially as it pertains to LLM use here. https://ift.tt/xsKNyLV We really want feedback from the community from people running Postgres and MySQL in production. We are giving inference away completely for free. Just as a reminder, RDST will NOT run any updates or indexes against your database at this time. We are considering a fully autonomous auto-pilot mode in the future, but for now we are leaving the actual fixes in your hands. Let us know what you think! https://ift.tt/ZjcKGNL October 15, 2026 at 11:39PM

Show HN: Ask a technical question, get an animated explainer you can interrupt https://ift.tt/seRvwId

Show HN: Ask a technical question, get an animated explainer you can interrupt https://ift.tt/s2Bq67g October 15, 2026 at 04:10AM

Show HN: Dub Anything – Dub videos in each actor's own voice https://ift.tt/4mSyaov

Show HN: Dub Anything – Dub videos in each actor's own voice There are many movies and shows out there with neither subtitles or dubs in English (or any other language). Pretty much impossible to watch. With SOTA AI now directing the process, you can do it locally on your machine. You basically just clone the repo, open up Codex or Claude and tell it to dub the video you want in the language you want. The repo contains all the scripts and guidance I've developed over the past few weeks to create dubs that are watchable, as an added bonus the voices in the dub are the actors own voices which is really nice. Also it's self improving, each dub may modify the scripts for better fidelity. So feel free to push them back to the repo so everyone benefits. Thanks. https://ift.tt/64NGh5W October 15, 2026 at 01:19AM

Show HN: Sonia. Local AI Assistant Linux. 13Gb RAM, No GPU, Skills Supported https://ift.tt/MFvpJLn

Show HN: Sonia. Local AI Assistant Linux. 13Gb RAM, No GPU, Skills Supported https://ift.tt/Aq6BZtG October 14, 2026 at 09:38PM

Show HN: Petal, open-source CoScreen/ScreenHero finally free https://ift.tt/smSLdZC

Show HN: Petal, open-source CoScreen/ScreenHero finally free Hi HN! I’m Jason Thomas, one of the founders of CoScreen. As some of you may know, Datadog sunset the CoScreen service on July 31st. Four of us from the original CoScreen team have spent the last couple months building a free and open source pair programming tool inspired by those that came before us: It’s called Petal ( https://ift.tt/PqpM1mO ) Some history first, because when we started CoScreen we had hoped to break the sad and established pattern of this industry. Screenhero was an exceptional tool that a lot of us loved for pairing. Multiple cursors, low latency, you could click your partner’s editor, and just start typing. It felt like magic while we had it. Then Slack bought it in 2015, and shut down the standalone app in December 2017. When Till, Max, and I started CoScreen, we were aware of this history, and wanted to build an even more magical collaboration and screen sharing experience: the entire concept was “throw a window from your laptop up on someone else’s screen, and start collaborating with zero friction.” Datadog acquired us in 2022, and thus began the great adventure of adapting our real-time technology into Datadog products, while also continue developing CoScreen as a standalone tool from the Datadog ecosystem. Datadog invested in the product for years and we’re thankful for that. But CoScreen itself proved, like so many other screen sharing tool acquisitions, to be too tangential from the customer base and core mission. We instead built other communication features in Datadog, the integrations with other video platforms, and also its wildly successful MCP server. We weren't the only ones. Around was bought by Miro and shut down in March 2025. Multi (formerly Remotion) was acqui-hired by OpenAI in 2024 and shut down about a month later. It's nearly always the same story: a small team builds something hard that people love, a platform buys it for the team or the feature, and the standalone product doesn't survive the integration. So we decided firmly to do things differently this time. Petal is completely free and open source and we aren't monetizing it. If we lose interest or get hit by a bus, you can self-host it or fork it, and nobody can sunset it on you. Honestly it's a love letter to everyone in this community that supported us, believed in us, and to liberate collaborative screen sharing from this vicious cycle. We hope through this we can help foster a large and vibrant community around innovating in this product sector. What Petal does: shared windows show up as real windows on your desktop, movable and resizable, not tiles in a grid. Several people can share at once, everyone gets a labeled cursor, and you can click into any shared window to type and scroll. Rooms are persistent, so you click once to join "eng-sync" instead of passing links around. It runs on macOS and Windows (Linux is next, this time for real and you can help us!), plus a web app. Media goes over LiveKit. You can use our hosted instance with zero config, or point the app at your own LiveKit server with one docker-compose if you want the traffic to stay on your network or even use an entirely different video backend if you want to. The part that still feels strange to us: CoScreen took almost six years to build. The first version of Petal took under eight weeks, from scratch, with frontier models like Fable and Astra doing a lot of the work. Real-time video and window capture is some of the most unforgiving code we have ever written, so we didn't expect that. We will do a proper writeup on what worked and what didn't, and are happy to answer questions about it here. Till, Darren, Max and I will be in the thread. https://petal.live/ October 14, 2026 at 11:53PM

Show HN: Treesum – Replace MS Excel/Project with a Code Editor https://ift.tt/dRyh3ZG

Show HN: Treesum – Replace MS Excel/Project with a Code Editor # Intro The goal of this software is to make it easy to get the plan that's in your head onto the page. Start with the outline then add details. Then more details. Then numbers: costs, time, quantities. Then organize and categorize with #tags. All the sums, graphs and pivot table functionality happens automatically in the Calcs, Timeline, Stats views. And everything looks nice without you having to format it. Currently, it's all local, saved in your browser. Save your plan permanently by downloading the '.tsum' file. Open (upload) the '.tsum' to start working again. Everything happens in the browser. The files are stored where ever you like. The '.tsum' file is just text - human and AI readable. Use it to plan anything. We hope it works like your brain does - by organizing things in trees. # Story This software is entirely vibe-coded. It had to be - none of my developer friends would help me out. The front end JS on this app is too complex for a part time developer like myself. I've had this idea for a while and was only able to bring it to life because of AI. It may not gain traction, but at least I can put it out there, use it myself, or stop thinking about it altogether. It's amazing to see it and actually use it - to know if my idea was good or not, at least for me. And I'm actually happy with it and have been using it. If you have thoughts about the idea, feel free to let me know. I'm open to suggestions for improvement. # Disclaimer This tool is mainly intended to help with project planning. But it can be used for any data that looks more like a tree than a table. Creating a quote or estimate for one-off projects is my favorite use case. The varying structure of costs across lumber, electrical, concrete and labor fits well. Obviously, it doesn't replace all the many things Excel can do. It tries to improve on MS Project by making it easier to get your schedule on the page by coding into an editor instead of poking at menus in a GUI. It is still a proof of concept at this point, not a bullet-proof software package. If there's interest, it will be developed further. For now, it's good enough for me. # Roadmap I want this software to be the Excalidraw of Excel: free, simple, browser-based and fun to use. There are great things that Excalidraw does that would require servers and more costs. These features could be turned into a paid product if there is interest. So, if you're interested, please let me know: treesum.app (at) gmail.com. # Thanks HN This project would not have been possible with out AI. But also not without HN. Reading HN nearly every work day really shapes how to think about software and presenting it to people - especially for someone who is not a full-time developer. It's a great community and I've happily been a member since (at least) 2013. https://ift.tt/tOe0Buw October 13, 2026 at 10:25PM

Show HN: Brickbrag – A multiplayer brick-building world in the browser https://ift.tt/P2sVkKM

Show HN: Brickbrag – A multiplayer brick-building world in the browser https://brickbrag.com/ October 13, 2026 at 02:33AM