Show HN: Now You Can Use – Web Baseline Timeline https://bit.ly/4ygKlAx

Show HN: Now You Can Use – Web Baseline Timeline I wanted an easy way to see what was actually new AND usable on the web, something I wished caniuse had, so I made it (with AI assistance). I hope others can find some use as well! https://bit.ly/4raV3Wc September 16, 2026 at 01:54AM

Show HN: Thurbox – A tmux-based TUI and CLI for local AI agent orchestration https://bit.ly/4rcmQpg

Show HN: Thurbox – A tmux-based TUI and CLI for local AI agent orchestration https://bit.ly/4iw5uBF September 16, 2026 at 02:25AM

Show HN: A chess analyzer that runs in the browser https://bit.ly/4rdljzt

Show HN: A chess analyzer that runs in the browser I play chess casually and usually struggle to figure out why Lichess analysis say my move is a blunder. Almost all the analysis tools will just suggest the best variant for a position, and you will have to follow the suggested engine lines, or play them out manually to analyze it better. So I built this tool to make that process easier for beginner players. Behind the scene: This app run Stockfish in your browser, at a position, the app will follow the engine's suggested lines, search for any meaningful situation like a check, a fork, a capture, material change, positional disadvantages,... and point that out with an explanation. You can see the app here: https://bit.ly/4rc2H2R and paste the PGN of your game. If you play on Lichess, you can also replace the lichess.org part in the browser URl with https://bit.ly/4rc2H2R to quickly analyze, for example: https://bit.ly/4rbI8U2 https://bit.ly/4xwAXqV September 16, 2026 at 01:28AM

Show HN: Agenttik – work on multiple projects in parallel with AI agents https://bit.ly/471VQ2s

Show HN: Agenttik – work on multiple projects in parallel with AI agents Hi! I've been reading HN daily for almost 16 years. Really glad this community exist. This is my first Show HN, so I hope you find this tool useful/interesting. During my summer holidays I started playing with latest AI models on personal projects. At one point I started working in parallel with the same project and tried different approaches. The one that worked best for me was to clone the repo and distribute work among different AI workers, work in parallel but with different branches & folders. This allowed me to review and merge work afterwards. The thing is, spawning several agents in parallel was challenging. I could work on multiple features and bugfix at once, but it was hard to keep track what I was working on. I was jumping from one thing to another, and back; from one window to another. Switching tasks like this was mentally exhausting. Holidays were over, and after returning to my day to day work, I continued working using a similar approach not on one, but also on multiple projects, but I still could not find how to work in a more organized way without the mental toll. This space is growing really fast, and I haven't been able to find the right tool for myself, so I decided to build my own. I wanted a tool that would help me manage multiple projects at once, work with multiple agents, even from different providers, where I could chose between my personal and work subscriptions depending on the project, where I could easily review changes without leaving the tool if I wanted, or go all in and delegate fully to agents; one where I had quick shortcuts to move around, where I could schedule work or enqueue work for later so agents could work on one task after another. agenttik is my way of tackling this problem to work on multiple projects in parallel, while allowing myself to be on the driver seat. I can give as much autonomy as I want to the agents while keeping things organized in my head. I've been hesitating for hours on whether to submit or not, but hey "if you are not ashamed of your project, you are shipping too late" Honestly, this project has exactly one week of development, started from scratch, and even though it is still early on, it has been extremely useful for me. I've built in a week things that would have taken me months, not only built the tool itself but other projects as well (most of the merit is still on the models used, but would have had no way of distributing all the work, though). Feel free to try. Here's how I would get started: - Open a project you already have - Add some general prompt (in the project area) or add to your AGENTS.md/CLAUDE.md (to instruct it to do regular commits and/or work with branches, and also instructions on how to build effective tests so that it can self-correct). - Chose your subscriptin of choice: Claude Code / Open AI subscription / ... - Pick big models (Opus High to Max / Fable Medium to Max / Astra Medium to Max) for bigger autonomy and try not to do hand-holding Finally, start sending/enqueuing tasks on all the features you want your product to have, bugfixes, ... use a new prompt per task (Ctrl+T / Cmd+T), I recommend using big models to avoid investing your own time reviewing, and then once LLM is done, review and archive that task or continue iterating. Keep adding tasks as you think on them. Add more projects as you start feeling comfortable. It has been really addictive for me to see the speed of development when working like this. I got totally hooked. Speed of iteration is insane. Happy to discuss any feedback you have even if it is about other tools or ways of working with AI these days! I hope you like it!! https://bit.ly/3TCdua1 September 16, 2026 at 12:24AM

Show HN: Redis City – Explore how Redis works in an interactive 3D model https://bit.ly/46Xbegu

Show HN: Redis City – Explore how Redis works in an interactive 3D model https://bit.ly/4rbJOwN September 12, 2026 at 08:43PM

Show HN: Hazzel – a tiny coding agent, Bring your own keys https://bit.ly/3VaNFyc

Show HN: Hazzel – a tiny coding agent, Bring your own keys https://bit.ly/4xUDEnj September 15, 2026 at 01:15AM

Show HN: An open-source control plane for your company's AI agents https://bit.ly/4h13mPS

Show HN: An open-source control plane for your company's AI agents https://bit.ly/4h4LhAf September 15, 2026 at 12:16AM

Show HN: Macros with a Behringer FCB1010 MIDI Pedalboard in macOS https://bit.ly/3UO1lza

Show HN: Macros with a Behringer FCB1010 MIDI Pedalboard in macOS https://bit.ly/4rbeLRP September 15, 2026 at 12:01AM

Show HN: Dep-radius, know which dependency updates touch your code https://bit.ly/3UMhc1a

Show HN: Dep-radius, know which dependency updates touch your code https://bit.ly/4iZoJn9 September 13, 2026 at 11:57PM

Show HN: Surraura – audio on your Mac in a simulated environment (Helps my ADHD) https://bit.ly/46UQwxP

Show HN: Surraura – audio on your Mac in a simulated environment (Helps my ADHD) I built an app to help my late diagnosed ADHD - through sound. The app wraps whatever is playing on mac through device convolution (old radio, hifi system) - Room convolution (a bedroom, a forest) and adds ambience (rain, wind, waves) and Apples spatial processing - so it sounds like a real space. For me - hearing the sound in a space really helps more than just the dry sound, the spatial information and ambience lets me focus much more. At some point I thought- Maybe others will have the same effect? So I took the care and effort to make into a nice app with the option of downloading additional environments etc. https://bit.ly/4hq0rl5 Thank you for your time, would love to hear your thoughts. September 13, 2026 at 06:17PM

Show HN: Everything a web page can learn about you, in plain English https://bit.ly/4yAdVRc

Show HN: Everything a web page can learn about you, in plain English https://bit.ly/4yuuWfq September 12, 2026 at 11:50PM

Show HN: See Sounds on Your Webcam https://bit.ly/4illDK2

Show HN: See Sounds on Your Webcam https://bit.ly/4imABPW September 10, 2026 at 03:43PM

Show HN: We built a local-first Android agent. Then Meta launched Muse https://bit.ly/4iZAhXt

Show HN: We built a local-first Android agent. Then Meta launched Muse https://bit.ly/4xR2CEh September 12, 2026 at 10:26AM

Show HN: Don't Hit Send – the model answers while you type https://bit.ly/3UPgv7c

Show HN: Don't Hit Send – the model answers while you type Type. The model is already answering. There is no send button. Left pane is one long draft. Right pane is a stack of replies. Pause for ~350ms and it fires a normal streaming chat completion with the whole draft. Type again and it aborts the last request if that reply never produced text; if it did, that bubble stays and a new one stacks. Bubbles never rewrite. Enter is a newline. That is overlapping unary streams, not a duplex socket. Same shape as ghost-text, pointed at a conversation instead of a code line. The bit that took the work is the hold: do not fire on "and N" while someone is still typing "and NASA". git clone https://bit.ly/3USgQpE cd dont-hit-send export SCALATTICE_API_KEY=slt_... # or OPENAI_API_KEY + OPENAI_BASE_URL ./run.sh # https://bit.ly/3T0aCDG Stdlib Python, MIT, key stays on your machine. Defaults to Scalattice OpenAI-compat; any host that speaks /v1/chat/completions works from Settings or env. Browser demo on our inference platform (sign-in after a short try): https://bit.ly/4hmG88a Why've we built this? The conventional AI chat interface is overdone and lacks innovation, I've personally been building agentic software for a while now and feel a lack of innovation in the interactivity. This is a step towards trialling some different inference interfaces! https://bit.ly/4h0mnBV September 12, 2026 at 06:06AM

Show HN: Next Notes – local dictation, meeting notes, and actions app https://bit.ly/46ZTUrb

Show HN: Next Notes – local dictation, meeting notes, and actions app https://bit.ly/4xoO4ur September 12, 2026 at 03:27AM

Show HN: Graphify C# – Compiler-accurate Find Usages for coding agents https://bit.ly/4radWZu

Show HN: Graphify C# – Compiler-accurate Find Usages for coding agents https://bit.ly/3ToX2Kc September 12, 2026 at 01:16AM

Show HN: Kern Agent – See inside your agent's brain https://bit.ly/3UQ1aTQ

Show HN: Kern Agent – See inside your agent's brain https://bit.ly/4lTogTc September 11, 2026 at 02:57AM

Show HN: Learn programming by building something you want https://bit.ly/4xi5tVo

Show HN: Learn programming by building something you want https://bit.ly/3UQ8dfi September 11, 2026 at 01:20AM

Show HN: Dbmask – Discover, mask, and verify sensitive data in SQL databases https://bit.ly/4xh0vII

Show HN: Dbmask – Discover, mask, and verify sensitive data in SQL databases Hi HN I developed *dbmask*, an open-source Python tool designed to discover sensitive columns in SQL databases, masking them with deterministic fake values, and validate the masking results. The motivation behind this tool stems from a common issue I encountered when handling test data: existing masking tools often assume the user already knows exactly which columns contain sensitive information. Furthermore, the successful completion of a masking task does not guarantee that all sensitive values have actually been replaced. dbmask aims to integrate these steps into a unified workflow rather than treating them as three separate tasks. During the detection phase, the tool makes determinations by combining column names, sampled values, database type/context, historical decisions, and optionally LLMs. While LLM functionality is disabled by default, it supports local execution via Ollama or other services compatible with the OpenAI API. If the tool cannot determine a column's nature with confidence, it marks it as `UNKNOWN` rather than simply classifying uncertain cases as "non-sensitive." I also wanted to incorporate human decision-making into the system. Detection results can be exported for manual review, and confirmed decisions can be saved in CSV, XLSX, or Markdown formats, or stored in a SQL history decision table. The system logs information about both the analyst and the reviewer and re-evaluates past decisions if column types change or review results expire. The masking process employs deterministic mapping, ensuring that identical original values consistently map to the same synthetic values across different tables. Once masking is complete, the `dbmask validate --strict` command compares the masked copy with the original data, checking row counts and table structures, and verifying sensitive values row-by-row using primary keys wherever possible. The project is currently in its early stages (version 0.1.x). The current CI (Continuous Integration) pipeline covers SQLite testing; integration tests for PostgreSQL and MySQL, as well as public detection benchmarks, are included in the future development roadmap. I would particularly appreciate feedback on the detection rules, the manual review/history tracking workflows, and the verification methods. Please let me know if you encounter any usability issues or potential security risks while testing on the temporary database. Install: pip install dbmask https://bit.ly/3Vnsmtg September 10, 2026 at 04:15PM

Show HN: What if the speed of light was 5 km/h? https://bit.ly/4ilrAqo

Show HN: What if the speed of light was 5 km/h? I've always wanted to make a visualization where the speed of light was scaled down to human speeds, so that we could intuit relativistic effects with everyday objects. And here is the first version of it! https://bit.ly/4Ak5Sts September 10, 2026 at 02:58AM