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Friday, 18 September 2026
Show HN: Seal – Letters and passwords that open for your family after you die https://bit.ly/4hcXXFp
Show HN: Seal – Letters and passwords that open for your family after you die I'm a CS undergrad who has developed an interest in hardware keys ever since I used them for a school project a few years ago. I made a little chat app that only allows users to chat if they registered a key, nothing else. The backstory of how I came to work on Seal (this project): was that I was generating ideas with Claude to come up with an idea that only hardware keys could make into software. I was thinking about physical house keys and what you could do with those, but in software. I was already making iOS apps with Claude, and I came up with this idea and it sounded good. I had already worked on a few projects involving hardware keys and I already loved them. Today I submitted my latest app, Seal, for review in the app store. Seal is an iOS app for iPhone and iPad that lets you write an Envelope (an encrypted bundle of passwords, photos, voice memos, etc...) for all of your loved ones when you're gone. You can register hardware keys and assign identities for each person. Then you can create Envelopes and assign them to the key that you want to distribute. They plug in the key to their phone and are ready to receive an Envelope from you. If you don't log into the app for months, one of your designated key holders can start the process of opening the Sealed Envelope. You, as the writer of the letters, get weeks of warnings to check in at least once before the letters open. After 90 days of countdown, 21 days of warnings, and 14 days of grace, the envelope opens for each person they met IRL and exchange keys with. No one else can read the envelope or see the photos (even the key holders, Apple, or me) unless that envelope was designated for that person. What's different from a password manager like 1Password: emergency access there hands one person your whole vault through the company's server, so it needs that company to still exist and be honest on the day it matters. Seal gives each person their own envelope nobody else can open, and there's no company in the middle. There's also no server at all besides a free Cloudflare static site. The encrypted bundles of passwords and photos are in Cloud Kit. Sign-in/identity is a passkey Face ID/Touch ID or a Hardware Key. It's all Crypto Kit, so there's no dependencies required. Currently, it's just me and Claude working on this. It hasn't been independently audited by anyone, and it's iPhone only for now. Please do not put a live seed phrase in it yet. If anyone has advice for me as the lead developer for this project, I'm all ears! You can help contribute on the github source code repository page if you'd like. My mom likes this app especially because she's into crypto and she needed a way to pass down or give away the seed phrases for her wallets to all 3 kids without any question about who gets what and when. In the end, there's no confusion or hurt feelings after the fact with just crypto. Thank you for reading and let me know if you have any questions or concerns for me or the project! Source: https://bit.ly/3TCrQY0 Site with limits and objections pages: https://bit.ly/4y6k7R9 Free on TestFlight while the App Store version is in review: https://apple.co/4hdUwhU https://bit.ly/3TCrQY0 September 19, 2026 at 05:28AM
Show HN: An OSS Python dependency scanner for exploited, unmaintained packages https://bit.ly/4yN5Qsp
Show HN: An OSS Python dependency scanner for exploited, unmaintained packages I built an open source python dependency scanner that will scan and flag packages with known exploit CVEs(CISA's Known Exploited list and FIRST EPSS) and unmaintained packages that have not had a release or commit in 2 years. Theres also claude hook that will make your AI agent not install these type of packages included in this repo. The full mechanism is in the readme of the project, this was just a brief summary. https://bit.ly/4yDtdoe September 19, 2026 at 01:27AM
Show HN: LiveWorld – Every 24/7 YouTube live camera on one globe https://bit.ly/4xuYUin
Show HN: LiveWorld – Every 24/7 YouTube live camera on one globe https://bit.ly/3TEUoA3 September 19, 2026 at 01:30AM
Show HN: TypeSeer – on-device autocomplete for every text field on macOS https://bit.ly/46x6374
Show HN: TypeSeer – on-device autocomplete for every text field on macOS https://bit.ly/4yGcOzd September 18, 2026 at 10:35PM
Thursday, 17 September 2026
Show HN: An open Add/Search evaluation framework for agent memory https://bit.ly/4xBEbd1
Show HN: An open Add/Search evaluation framework for agent memory Hi HN, We are trying to make different Agent Memory systems comparable without letting each team choose its own answer model and evaluation pipeline. https://bit.ly/4cTYpap September 18, 2026 at 03:52AM
Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash https://bit.ly/4yIMoNl
Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash Hey HN, Henry from Cactus here. We submitted Needle 2 here a few weeks ago, and the feedback in the discussion thread was incredibly valuable, thanks! Thanks to all that feedback, we’ve been able to move quickly to release Needle 3 and I'd love to hear what you think again. The key features: 1) Automation (tool calls & structured JSON output): Needle still doesn't chat by design, its quite challenging to pack general capacity into such small models, so we focus on tool calls and structured JSON. If no tool you declared fits the request, you get an empty list back (note for when playing with the demo). 2) Intelligence Laddering: Every layer (2 to 20) is a deployable subnetwork, so one set of weights, 25 to 121 million parameters at 2-bit, shipping as 8-29MB binaries. On a Raspberry Pi 5 it decodes at up to 4k tokens/sec and prefills at up to 10k. 3) Monarch Hadamard MLP: replaces the dense FFN with three learnable Walsh-Hadamard-initialized Kronecker (Monarch) factor pairs interleaved with per-channel diagonal scales, fixed permutations, a SiLU nonlinearity, and a rank-8 input-conditioned gate, so each token gets a fully mixed nonlinear transform of its d_model channels at O(d√d) parameters and compute instead of the O(d²) a dense 4x-expansion MLP would cost. 4) Performance: On Mobile Actions (phone commands, scored on the exact call) the 20-layer model gets 86.0 through the shipped 2-bit binary; LFM2.5 1.2B is at 82.4, Qwen3.5 0.8B at 76.0, Apple's on-device model at 57.6, all at f16. More results on the link, we do not win everywhere ofc. 5) Multilingual: Needle 3 now supports English, French, Spanish, German, Dutch, Italian, Polish, with more languages coming. 6) Finetuning: You can achieve DeepSeek v4 Flash grade performance on a narrow task with just 4L, stress on "narrow task", we found that production users often prefer tuning before production. 7) Triggers: Grounding is a common challenge for tool call, at least for Needle 2, so we added support case-insensitive regular expressions matched against each request to gate false negatives. 8) Confidence: Every response also carries a calibrated confidence score, the minimum of a judgement on the finished call and its decode probability. Act above your threshold, show the call and ask below it, or escalate to a bigger model. 9) Supported Platforms: macOS, Linux on x86-64, ARM64, ARMv7, RISC-V and MIPS32, Windows x64 and ARM, Android, iOS, watchOS, tvOS, the browser as WebAssembly, and a WASI component. Thanks for reading and as always, thoughts appreciated! https://bit.ly/4yIMpAT September 18, 2026 at 01:11AM
Show HN: I made a browser tool that creates newspaper and book text match cuts https://bit.ly/4rskvqr
Show HN: I made a browser tool that creates newspaper and book text match cuts https://bit.ly/3SVqN5g September 17, 2026 at 11:47PM
Show HN: Smart Mouth Billy Bass – another fishy LLM assistant https://bit.ly/4y38jz5
Show HN: Smart Mouth Billy Bass – another fishy LLM assistant Hello, HN people. This project was inspired by another very similar Show HN post from a few months ago called BillAI Bass. I decided to do something like it but take it in a different direction. It’s not a serious assistant and doesn't turn my lights on and off, but it has no cloud dependency and was fun to build. Hope you like it. https://bit.ly/4yG30Fx September 17, 2026 at 02:49PM
Show HN: I built a new version of my fun spatial 3D online meeting app https://bit.ly/3SOZV6X
Show HN: I built a new version of my fun spatial 3D online meeting app Hi HN! flat.social is a fun spatial online meeting app for remote teams and communities. It's largely built like a web multiplayer game, and the 3D virtual spaces are highly customisable with elements and activities (I recently added surfing!). Live demo to try it out: https://bit.ly/4cQRNth Here's a quick demo video: https://www.youtube.com/watch?v=GeinBNqL23s It's a solo, bootstrapped project built with Three.js, LiveKit and Rapier for physics. I built the first version during the pandemic and posted it here back then: https://bit.ly/3xN9kNJ I had a couple of months off this year, so I locked myself in an (almost) jungle house in Brazil and rebuilt it into what I've always wanted it to be. Would love to hear what you think! https://bit.ly/3xHUoAw September 17, 2026 at 01:57PM
Tuesday, 15 September 2026
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
Monday, 14 September 2026
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
Sunday, 13 September 2026
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
Saturday, 12 September 2026
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
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