Study mode

M8.7 earthquake in Western Pacific, tsunami warning issued

iPhone 16 cameras vs. traditional digital cameras

RIP Shunsaku Tamiya, the man who made plastic model kits a global obsession

Sleep all comes down to the mitochondria

Oscar-Winning 'No Other Land' Awdah Hathaleen Killed by Israeli Settler

Our $100M Series B

URL-Driven State in HTMX

Hi HN! We&#x27;re Yujong, John, Duck, and Sung from Hyprnote (<a href="https:&#x2F;&#x2F;hyprnote.com" rel="nofollow">https:&#x2F;&#x2F;hyprnote.com</a>). We&#x27;re building an open-source, privacy-first AI note-taking app that runs fully on-device. Think of it as an open-source Granola. No Zoom bots, no cloud APIs, no data ever leaves your machine.Source code: <a href="https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote">https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote</a>
Demo video: <a href="https:&#x2F;&#x2F;hyprnote.com&#x2F;demo" rel="nofollow">https:&#x2F;&#x2F;hyprnote.com&#x2F;demo</a>We built Hyprnote because some of our friends told us that their companies banned certain meeting notetakers due to data concerns, or they simply felt uncomfortable sending data to unknown servers. So they went back to manual note-taking - losing focus during meetings and wasting time afterward.We asked: could we build something just as useful, but completely local?Hyprnote is a desktop app that transcribes and summarizes meetings on-device. It captures both your mic input and system audio, so you don&#x27;t need to invite bots. It generates a summary based on the notes you take. Everything runs on local AI models by default, using Whisper and HyprLLM. HyprLLM is our proof-of-concept model fine-tuned from Qwen3 1.7B. We learned that summarizing meetings is a very nuanced task and that a model&#x27;s raw intelligence (or weight) doesn&#x27;t matter THAT much. We&#x27;ll release more details on evaluation and training once we finish the 2nd iteration of the model (still not that good we can make it a lot better).Whisper inference: <a href="https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;whisper-local&#x2F;src&#x2F;model.rs">https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;whispe...</a>AEC inference: <a href="https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;aec&#x2F;src&#x2F;lib.rs">https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;aec&#x2F;sr...</a>LLM inference: <a href="https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;llama&#x2F;src&#x2F;lib.rs">https:&#x2F;&#x2F;github.com&#x2F;fastrepl&#x2F;hyprnote&#x2F;blob&#x2F;main&#x2F;crates&#x2F;llama&#x2F;...</a>We also learned that for some folks, having full data controllability was as important as privacy. So we support custom endpoints, allowing users to bring in their company&#x27;s internal LLM. For teams that need integrations, collaboration, or admin controls, we&#x27;re working on an optional server component that can be self-hosted. Lastly, we&#x27;re exploring ways to make Hyprnote work like VSCode, so you can install extensions and build your own workflows around your meetings.We believe privacy-first tools, powered by local models, are going to unlock the next wave of real-world AI apps.We&#x27;re here and looking forward to your comments!

Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

Try the Mosquito Bucket of Death

The HTML Hobbyist

Problem Solving Is Often a Matter of Cooking Up an Appropriate Markov Chain

Big Tech Killed the Golden Age of Programming

.NET 10 Preview 6 brings JIT improvements, one-shot tool execution

PanamaPlaylists – Leaked Tech CEOs Spotify Profiles

From XML to JSON to CBOR

Blog series on creating an OS in Rust

Hey HN,I tend to use printf-style debugging as my primary troubleshooting method and only resort to gdb as a last resort.While I like its ease of use printf debugging isn&#x27;t without its annoyances, namely removing the print statements once you&#x27;re done.I used to use trace-level logging from proper logging libraries but adding trace calls in every corner quickly gets out of control and results in an overwhelming amount of output.To scratch my own itch I created dlg - a minimal debugging library that disappears completely from production builds.
Its API exposes just a single function, Printf [1].dlg is optimized for performance in debug builds and, most importantly, when compiled without the dlg build tag, all calls are eliminated by the Go linker as if dlg was never imported.For debug builds it adds optional stack trace generation configurable via environment variables or linker flags.GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;vvvvv&#x2F;dlg">https:&#x2F;&#x2F;github.com&#x2F;vvvvv&#x2F;dlg</a>Any feedback is much appreciated.[1]: Actually two functions - there&#x27;s also SetOutput.

Show HN: Dlg – Zero-cost printf-style debugging for Go

Moneybadger and Peach Payments partner to enable Bitcoin payments

Bitmapist: We built an open-source cohorts analytics tool that saved millions