Show HN: Open-source comment section widget, Disqus alternative https://ift.tt/g4qQ198

Show HN: Open-source comment section widget, Disqus alternative https://ift.tt/B7nFMIo August 17, 2026 at 11:36PM

Show HN: Interactive component to map fibre breaks (OTDR) https://ift.tt/J8AzW9b

Show HN: Interactive component to map fibre breaks (OTDR) Added an OTDR trace component as the latest in my component library for datacentre/network apps. Mainly for my own use in rackout. https://ift.tt/kuVY8l1 August 17, 2026 at 02:17AM

Show HN: I shrank DeepSeek V4 Flash to 57GB and it wrote a compiler on my Mac https://ift.tt/0jE5dbD

Show HN: I shrank DeepSeek V4 Flash to 57GB and it wrote a compiler on my Mac I built a specialized package of DeepSeek V4 Flash 0731 (originally 284B total parameters, 13B active), preserving reasoning, tool calling and coding capabilities: https://ift.tt/z0fqBYF... I let it write a minimal C compiler targeting ARM64, then test the result with Fibonacci and FizzBuzz programs, and it succeeded in less than 1 hour, with the full recording at: https://youtu.be/XiwSilmV8B0 You can run it on Silicon Macs with my engine https://ift.tt/7JlDyHX , while one of the core libraries developed to obtain this result is available at https://ift.tt/OFVHc7b . The above recording was on a 128GB memory MacBook M3 Max, but you can also run it on 32GB MacBooks with a very usable context (128K tokens) and projected 5 tok/s. I did try it on a fanless 16GB memory MacBook Air M1 (1.39 tok/s), but unfortunately the available context was very small. How: - First, efficient quantisation: mlx-iqk takes advantage of IQ_K tensor encoding, more efficient than the ones available via llama.cpp or barebones MLX, originally designed by Iwan Kawrakow - I also changed the layout to a k-contiguous one, to make it faster, at least in this Metal setup. - Second, expert pruning: each of the 40 learned-router layers had 256 experts, and not all of them are equally important for the coding use cases. I removed 80B parameters - this is a known technique called REAP, shared at https://ift.tt/H2z4qLS . - Third: balancing the cheapest IQ1_S_R4 tensor encoding (~1.5 bits per weight), selectively promoting projections to IQ2_KS or IQ2_K where the measured error reduction justified the bytes. One of the main ideas was not only to save relevant knowledge, but also to not make it forget how to... stop thinking, how to use reasoning. In the first experiments, it would sometimes reason for thousands of tokens without closing its thinking section, or it would go in loops. Then I solved this by heavily weighting tool-calling traces and structured reasoning in the calibration mix. https://ift.tt/Kis7U5e August 16, 2026 at 10:43PM

Show HN: Hacker News Top Stories as Feeds to Use with RSS/Atom with Summaries https://ift.tt/jfbDUYK

Show HN: Hacker News Top Stories as Feeds to Use with RSS/Atom with Summaries Hey all, I’ve made this bot, it fetches every story that enters the HN Top 10, summarizes it with AI to a tweet-sized textlog note and publishes it. textlog.cc offers these endpoints as RSS/Atom through textlog.cc/u/hn10.rss and textlog.cc/u/hn10.atom so you can subscribe easily. Enjoy! https://textlog.cc/u/hn10 August 17, 2026 at 01:31AM

Show HN: built my 15-year-old game idea https://ift.tt/OCEHg5d

Show HN: built my 15-year-old game idea Distro Fighter: WARS is in closed beta, but HN gets its own door: https://ift.tt/MrNigkW - the arcade at https://ift.tt/JpkY0fC is open to everyone. Promotions happen at midnight tonight (weekly) and the seasons (migration) are quarterly. With a massive surprise at the end of each year. August 16, 2026 at 11:05PM

Show HN: Bribes.fyi – Compare bribes statistics department wise https://ift.tt/7OwFgl0

Show HN: Bribes.fyi – Compare bribes statistics department wise https://ift.tt/uj2VnTD August 16, 2026 at 03:41AM

Show HN: ElevenMusic Sounds, loop library that grows as other people generate https://ift.tt/sIb0JVW

Show HN: ElevenMusic Sounds, loop library that grows as other people generate https://ift.tt/Y2fjEbp August 16, 2026 at 03:52AM

Show HN: Live Claude Usage HUD for a $38 Thermalright Trofeo Vision LCD https://ift.tt/kJucOI3

Show HN: Live Claude Usage HUD for a $38 Thermalright Trofeo Vision LCD https://ift.tt/A1CQXIV August 16, 2026 at 03:12AM

Show HN: Every MUNI, BART and Caltrain in SF on a Live Map https://ift.tt/9Ub7PXq

Show HN: Every MUNI, BART and Caltrain in SF on a Live Map https://ift.tt/oJbgNS6 August 16, 2026 at 12:39AM

Show HN: Biasly.ai – Bias detection with historical context https://ift.tt/eZivTof

Show HN: Biasly.ai – Bias detection with historical context https://biasly.ai/ August 15, 2026 at 12:53AM

Show HN: PasteDaemon – Automatically remove tracking from URLs and more https://ift.tt/iae3fbm

Show HN: PasteDaemon – Automatically remove tracking from URLs and more https://pastedaemon.app August 15, 2026 at 12:12AM

Show HN: LymeScribe – one computer on your network transcribes for the rest https://ift.tt/TvrWpyE

Show HN: LymeScribe – one computer on your network transcribes for the rest Transcribed with LymeScribe just before posting this: "I realize it's a little bit late in the day to be posting on Hacker News. However, I've been looking at this frog for a good two weeks now, and F it, I'm just going to ship it. I've posted on Hacker News now like three or four times with little to no results. So if a tree falls in the woods..." (I censored the F word, but it transcribed just fine.) TL;DR: LymeScribe is local speech to text for Mac and Windows: dictate into any app, or drop in a recording and get a transcript with speaker labels, and nothing goes to a server you don't own. On a machine that can handle it, it all runs right there. On anything that can't, or anywhere you'd rather keep transcription in one place, one computer does the work for the rest of the network. Offices care about the second one, because the audio and the transcripts never leave hardware they control. This whole thing started as a command line program I built to transcribe and label speakers in audio files sitting on my computer, mostly voice notes using Whisper on my gaming PC. A few friends started asking me to run their meeting recordings through it, which I was happy to do until it got frequent enough to be a chore. So I built them an app that they could drag a file onto themselves, with my gaming PC doing the actual work and sending the results back to their clipboard. That drag and drop piece is still in the app. Since then I added real time dictation, which uses the same local models. When I started thinking about actually selling this thing, I found the market was more crowded than I expected, which was humbling for about a day. What kept me going is that none of the others let one machine do the work for everyone else... that and there's just something sort of cool about owning and using my own transcription software. So, here we are. An older machine can handle its own dictation on the small English models. I found that out when I tried the app on a ten year old iMac expecting it to fail, and deleted the code I'd written to keep machines like it out. Speaker labels are the part that still wants real hardware, and that's where pointing that old machine at a stronger one on the network earns its keep. One license covers the house. It's local by design, and you can test that yourself: unplug the Ethernet mid dictation and it keeps going. Works on a plane. The free client never talks to me at all. Unlocking hosting means one activation call, and after that the license is verified locally against a signed document, so an activated install keeps working with no internet and would keep working if my licensing server went away. AI assisted summaries and translation are experimental. They ship turned off, and you can turn them on if you dare. They only talk to an endpoint you choose, your own key or a local model. The client is free on Mac and Windows. Hosting is a one time $39 unlock with a 7 day trial that starts the first time you host a transcription. It's a perpetual license: you own this major version, point updates are free, and if there's ever a next major version it's a discounted upgrade rather than a new purchase. I'm tired of renting everything, aren't you? Two things worth knowing before you download. The Windows installer is signed, but the certificate is new enough that Chrome and SmartScreen may still warn you about it. And the paid unlock is US only for now, while I work out the international side. Feedback welcome, especially from anyone who has fought text injection on Windows. There's also a heavier server for offices, administered through a web app that handles keys, transcription history, logs, etc. Frog reference: "There's a saying: if you have to eat a frog, it's best you don't spend a whole lot of time looking at it. And if you have to eat two, don't start with the small one." Randy Pausch - Time Management - https://www.youtube.com/watch?v=oTugjssqOT0 https://ift.tt/TaktmH4 August 13, 2026 at 11:48PM

Show HN: OpenCode Senses, An insanely fast and highly accurate vision plugin https://ift.tt/w4KDAJQ

Show HN: OpenCode Senses, An insanely fast and highly accurate vision plugin The vision plugin for OpenCode that truly understands images. Inspect, read, and reason about any screenshot or picture with deeper understanding than any other plugin — fully local, private, and free. Normally, it takes 300ms to analyse one image on my laptop, which is pretty fast for a local vision model. I use moondream2 as my vision model, you can set your custom model like moondream3.1 if you have a good GPU (for comparison I have currently have an RTX 3050). It works cross-platform. Just follow the README. If you like my work, you leave me a tip as an act for supporting open source!! Looking for some feedback! Thank you. NPM: https://ift.tt/4IqAhgn https://ift.tt/UJiDBM2 August 13, 2026 at 11:43PM

Show HN: Programmable timer web app (for gym workouts or stretching sessions) https://ift.tt/QwO6dkg

Show HN: Programmable timer web app (for gym workouts or stretching sessions) Over the last couple of months, I’ve been building a timer web app for myself that I use for workout and stretching sessions. My main use-case is gym routines that consist of repeatable sequences, e.g. where you are holding certain positions for a set time (rinse and repeat). The app counts down the program, beeps, and reads the activities out loud. Two things (I suppose) are special about it: - The timers are “programmable”, so you can freely express your own routines and procedures in a declarative notation. - The app is all static (no backend): the entire program is encoded in the URL and can be bookmarked or shared/transferred via QR-code. You can check it out at https://ift.tt/naEmYB7 , optionally with a demo program pre-loaded: https://ift.tt/HpwdZfz . Source code is at https://ift.tt/03I2UfR . I’ve also written up a small behind-the-scenes on my blog: https://ift.tt/THupEMG https://ift.tt/naEmYB7 August 12, 2026 at 11:57PM

Show HN: Mooneva Cycle – Offline period tracker with no servers and no accounts https://ift.tt/9iOVSP1

Show HN: Mooneva Cycle – Offline period tracker with no servers and no accounts Data stays encrypted on your device (PBKDF2/AES-GCM), no internet permission, nothing to breach or subpoena. GPL-3.0, TypeScript/React + Capacitor. Android & iOS. https://ift.tt/j69GpHl August 13, 2026 at 12:40AM

Show HN: StarryKit – MCP for editable slides, posters and all visual designs https://ift.tt/KNFSfq6

Show HN: StarryKit – MCP for editable slides, posters and all visual designs https://ift.tt/eD3tCH0 August 12, 2026 at 11:34PM

Show HN: Pulp – Zero-allocation C11 telemetry engine (28M logs/SEC to disk) https://ift.tt/AIsJt5a

Show HN: Pulp – Zero-allocation C11 telemetry engine (28M logs/SEC to disk) https://ift.tt/EX0DKTp August 12, 2026 at 12:15AM

Show HN: HyperSAE – Hyperbolic Sparse Autoencoders for LLM Interpretability https://ift.tt/3hgqInu

Show HN: HyperSAE – Hyperbolic Sparse Autoencoders for LLM Interpretability https://ift.tt/5uVS0XQ August 11, 2026 at 11:49PM