Show HN: LightCycle, a FOSS game in Rust based on Tron

Hi HN! Excited to share early access to Amber.I’ve tried every all-in-one messenger out there (Beeper included) but they always fell short. No real folders, no AI, clunky UI, no CRM features… As a founder who speaks with hundreds of people every quarter, I needed something better. So I decided to rebuild the entire experience from ground up.Thoughts from one of our users: &quot;The app I&#x27;ve been searching for for a looong time.&quot;Check it out for free today!Demo:
<a href="https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b5bc80b9893436b9190ae41fc3f0f50" rel="nofollow">https:&#x2F;&#x2F;www.loom.com&#x2F;share&#x2F;8b5bc80b9893436b9190ae41fc3f0f50</a>Features:
- All messages (Whatsapp, Telegram, iMessage) unified in a beautifully crafted interface.
- Split inboxes (folders) to effortlessly focus on work, friends, a particular project.. whatever matters the most right now.
- Mark read – no read receipts (even on Whatsapp and Telegram), mark done only when you’re done.
- Personal CRM: a lightweight private database of knowledge about each person with (optional) AI pulling important facts straight from conversations. (the latter is coming soon)
- Command bar + shortcuts.
- Send later + reminders.Everything is securely stored on-device. All messages are end-to-end encrypted and go straight from your device to the network of choice – never touching our servers.

Show HN: Amber – better Beeper, a modern all-in-one messenger

Show HN: Narcissistic Abuse Simulator exposes toxic patterns

Show HN: C++ library for reading MacBook lid angle sensor data

TLDR: A small, vendor-agnostic inference loop that turns token logprobs&#x2F;perplexity&#x2F;entropy into an extra pass and reasoning for LLMs.- Captures logprobs&#x2F;top-k during generation, computes perplexity and token-level entropy.- Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model.- In our tests on technical Q&amp;A &#x2F; math &#x2F; code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs.I kept seeing “reasoning” models behave like expensive black boxes. Meanwhile, standard inference already computes useful signals both before softmax normalization and after it(logprobs), which we usually throw away. This loop tries the simplest thing that you could think of: use those signals to decide when (and where) to think again.GitHub (notebook + minimal code): <a href="https:&#x2F;&#x2F;github.com&#x2F;monostate&#x2F;weave-logprobs-reasoning-loop" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;monostate&#x2F;weave-logprobs-reasoning-loop</a>Paper (short &amp; engineer made):
<a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2509.00079" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2509.00079</a>Blog (more context): <a href="https:&#x2F;&#x2F;monostate.ai&#x2F;blog&#x2F;entropy-refinement-blog" rel="nofollow">https:&#x2F;&#x2F;monostate.ai&#x2F;blog&#x2F;entropy-refinement-blog</a>Requirements: Python, API that exposes logprobs (tested with OpenAI non reasoning 4.1). OPENAI_API_KEY and WEAVE for observability. Run the notebook; it prints metrics and shows which tokens triggered refinement.- Python, simple loop (no retraining).- Uses Responses API logprobs&#x2F;top-k; metrics: perplexity, max token entropy, low-confidence counts.- Weave for lightweight logging&#x2F;observability (optional).- Passing alternatives (not just “this looks uncertain”) prevents over-correction.- A simple OR rule (ppl &#x2F; max-entropy &#x2F; low-confidence count) catches complementary failure modes.- Numbers drift across vendors; keeping the method vendor-agnostic is better than chasing fragile pairings.- Needs APIs that expose logprobs&#x2F;top-k.- Results are indicative—not a leaderboard; focus is on within-model gains (single-pass vs +loop).- Thresholds might need light tuning per domain.- One pass only; not a chain-of-thought replacement.- Run it on your models and ideas (e.g., 4o-mini, v3, Llama variants with logprobs) and share logs in a PR for our README in GitHub if you&#x27;d like, PRs welcome - I’ll credit and link.Overall let me know if you find making small models reason like this useful!

Show HN: Entropy-Guided Loop – How to make small models reason

Hi HN,I built GoSocket, a small library that helps you set up WebSocket servers in Go with almost no boilerplate.It lets you start a server in a few lines of code, handle connections, broadcast to rooms or clients, and add middleware. JSON is supported now, Protobuf and MessagePack are planned.Example:ws := gosocket.NewServer()
ws.WithPort(8080).
 WithPath(&quot;&#x2F;ws&quot;).
 OnMessage(func(c gosocket.Client, m gosocket.Message, ctx *gosocket.HandlerContext) error {
 c.Send(m.RawData) &#x2F;&#x2F; echo
 return nil
 })
log.Fatal(ws.Start())Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;FilipeJohansson&#x2F;gosocket" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;FilipeJohansson&#x2F;gosocket</a>It’s still pre-1.0, so I’d love feedback, testing, and contributions.

Show HN: GoSocket – A Simple WebSocket Framework for Go

Built a blockchain where you mine blocks by accomplishing real-world goals instead of solving computational puzzles. AI verifies your achievements, peers review them, and successful ones become permanent blockchain records.Demo: <a href="https:&#x2F;&#x2F;proof-of-awesome.app" rel="nofollow">https:&#x2F;&#x2F;proof-of-awesome.app</a>How it works:Submit achievements like &quot;ran 5km today&quot; or &quot;learned a new song&quot; with photo evidence
AI validates achievement authenticity and difficulty
Community peer review for quality control
Accepted achievements earn you the right to mine the next block
Earn AwesomeCoins as rewards, permanently recorded on-chainTechnical implementation:React + MUI frontend with real-time updates via Socket.io
Node.js + MongoDB backend with simplified blockchain data structure
Deterministic phase transitions synchronized across network nodes
Built-in achievement categories (fitness, gaming, lifestyle, general)Why this matters: Traditional proof-of-work wastes energy on abstract math. This creates value through actual human accomplishment while maintaining blockchain security properties. Every block represents someone doing something genuinely awesome in the real world.
No crypto speculation, no fees - just a permanent record of human achievement.
GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;AmyangXYZ&#x2F;proof-of-awesome" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;AmyangXYZ&#x2F;proof-of-awesome</a>

Show HN: Blockchain that mines blocks with real achievements, not math puzzles

Recently, I was part of a dog rescue transport from Denver to Frisco, CO, and it opened my eyes to a major problem: coordinating volunteers shouldn&#x27;t be this complicated. Between fragmented communication (Facebook, phone calls, emails, texts...), missing handoff details, and manual route planning, I wanted to work on a better solution.Meet puptransfur.org - purpose-built to make rescue transports seamless and paw-fect. Easily plan routes, coordinate handoffs, manage timezones automatically, and document the journey with photos. Use the demo option to create your own route, or look at an example route: puptransfur.org&#x2F;route&#x2F;4041If you are part of a dog rescue and need to organize dog transports frequently, would you want to use this website? Let me know and I can guide you through the first steps and show how everything works.Some features:
- address completion when setting up the route
- suggested handoff locations to easily break up the route into multiple segments
- handles timezones by adjusting the times to local times
- volunteer information available to other drivers (car model and color, license plate, if available)
- integrated email communication when drivers sign up, and when drivers are confirmedAnd the best feature I think is this one: this site can bring all volunteer drivers of all rescue organizations together in one place!This website is free to use for administrators of dog rescues as well as for volunteer drivers. I&#x27;d love to get some feedback on this. Thanks for looking!

Show HN: Dog Rescue Transport Coordination Website

Show HN: Spotilyrics – See synchronized Spotify lyrics inside VS Code

A simple .NET NuGet server implementation built on Node.js that provides essential NuGet v3 API endpoints.Key Features:* Easy setup, run NuGet server in 10 seconds!
* NuGet V3 API compatibility: Support for modern NuGet client operations
* No need database management: Store package file and nuspecs into filesystem directly, feel free any database managements
* Package publish: Flexible client to upload .nupkg files via HTTP POST using cURL and others
* Basic authentication: Setup authentication for publish and general access when you want it
* Reverse proxy support: Configurable trusted reverse proxy handling for proper URL resolution
* Modern Web UI with enhanced features.
* Package importer: Included package importer from existing NuGet server
* Docker image available

Show HN: Simple modenized .NET NuGet server reached RC

Hi HN, I’m Felipe, a 9-5 developer aiming to become a full-time indie hacker. I struggled with flashcard apps that focus on decorating cards instead of learning concepts, so I built FlipCards to solve that problem.What it does:
FlipCards lets you:- Create cards for any concept (math, language, coding, etc.)
- Add multiple variations per card – the more variations, the better your understanding
- Study smarter – the algorithm randomly selects variations so you can’t just memorize Q→A patternsWhy it’s different:- Most apps use reverse cards (Q→A, A→Q). FlipCards uses variations to reinforce concepts in multiple contexts.
- Powered by the SM2 spaced repetition algorithm, scientifically proven for long-term retention.Pricing:- Free – 1 deck, 3 cards, 1 study session
- Annual – $20&#x2F;year for unlimited decks and cards
- Lifetime – $50 one-time for unlimited everythingI built FlipCards because I kept getting stuck decorating cards in other apps. Now I can create as many variations as I want, and the algorithm mixes them for me.I’d love feedback from the HN community:- Does this approach to flashcards make sense?
- Would you use an app like this for learning?Try it here: <a href="https:&#x2F;&#x2F;flipcardsapp.vercel.app" rel="nofollow">https:&#x2F;&#x2F;flipcardsapp.vercel.app</a>Thanks,
Felipe

Show HN: I built FlipCards – a flashcard app with variations to improve learning

Hi HN,I thought this would be a good place to share a little puzzle I&#x27;ve been working on. Inception is a Rust library that helps you share behaviors in Rust using structural induction. Practically, this means that instead of having a derive macro for each behavior, a single derive can be used to enable any number of behaviors. It doesn&#x27;t do this using runtime reflection, but rather type-level programming - so there is monomorphization across the substructures, and (at least in theory) no greater overhead than with macro expansion.While there are a lot of things missing still and the current implementation is very suboptimal, I&#x27;d say it proves the general concept for common structures. Examples of Clone&#x2F;Eq&#x2F;Hash&#x2F;etc replicas implemented in this way are provided.The code is not idiomatic, which is my biggest reservation about continuing this work. It was fun to prove, but is not so fun to _improve_, as it feels a bit like swimming upstream. In any case I hope some of you find it interesting!

Show HN: Inception: Automatic Rust Trait Implementation by Induction

- Plain-text markdown is easy to update and human&#x2F;machine-readable- Clever CSS styling and animated logo[1] make the HTML version stand out- PDF version: simply generate by printing this page from the browser (optimized for printing)- See how it was done: <a href="https:&#x2F;&#x2F;github.com&#x2F;Leftium&#x2F;leftium.com&#x2F;tree&#x2F;main&#x2F;src&#x2F;routes&#x2F;(centered)&#x2F;resume" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Leftium&#x2F;leftium.com&#x2F;tree&#x2F;main&#x2F;src&#x2F;routes&#x2F;...</a>[1]: <a href="https:&#x2F;&#x2F;logo.leftium.com" rel="nofollow">https:&#x2F;&#x2F;logo.leftium.com</a>

Show HN: Simple markdown resume; fancy rendered HTML/PDF

Show HN: Psq – CLI for Postgres Monitoring

Show HN: A Map of All YC Companies (5,300 Startups by Batch and Location)

In 2019, an academic paper by Gleason et al. found that only 0.1% of Twitter image posts had any form of image description (alt text) [1].I wanted to see the analogous number for Bluesky today - my full blog post is here [2], but I found looking at the live stream was illuminating and fun too:* Bluesky image posts are frequent enough to keep moving, but not so frequent that it&#x27;s an unreadable blur.* There&#x27;s lots of bot content for things like ADS-B feeds (planes nearby), radio station &quot;Now playing&quot;, and good old-fashioned affiliate link spam.* There is a lot of detailed descriptions for sexual content. This was a surprise to me![1] <a href="https:&#x2F;&#x2F;dl.acm.org&#x2F;doi&#x2F;10.1145&#x2F;3308558.3313605" rel="nofollow">https:&#x2F;&#x2F;dl.acm.org&#x2F;doi&#x2F;10.1145&#x2F;3308558.3313605</a>
[2] <a href="https:&#x2F;&#x2F;digitalseams.com&#x2F;blog&#x2F;image-descriptions-on-bluesky" rel="nofollow">https:&#x2F;&#x2F;digitalseams.com&#x2F;blog&#x2F;image-descriptions-on-bluesky</a>

Show HN: A livestream of all image descriptions (alt text) on Bluesky

I used to work in VC and watched good teams lose months chasing the wrong investors. I’m building Evalyze to make the unglamorous parts faster and more precise.After sign-up (email only, no card) you can:- upload a deck or paste your site
- get a ranked list of relevant VCs&#x2F;angels with a short “why” for eachWhat’s different: instead of dumping a big list, we try to explain why an investor fits based on stage, sector, check size, and portfolio patterns. It’s far from perfect and we want blunt feedback before opening wider.Limits to know:- newer funds and emerging managers can be underrepresented
- geo nuances are still rough
- matching can over-weight buzzwords if the deck is vagueI’d love critique on the ranking logic, signals you’d add&#x2F;remove, and any privacy concerns. If you don’t want to upload a deck, there’s a sample you can use to see the flow.I’ll be here replying and shipping fixes as comments come in.

Show HN: Evalyze – AI investor matching from your pitch deck (feedback welcome)

Show HN: Infinipedia – An infinite, self‑writing, self‑optimizing wiki

I built a small Rust CLI game called GitType.It’s a typing practice tool that takes your own Git repository and turns the code inside into typing material. 
Instead of random words, you type through real functions, comments, and code you’ve written — making practice feel closer to real-world programming.Features:
- Works directly in the terminal (no GUI required)
- Pulls text from any local Git repo
- Tracks WPM and accuracy
- Keeps a history of your past runs (so you can see progress over time)
- Fun ranking titles based on your scoreSource and install instructions: <a href="https:&#x2F;&#x2F;github.com&#x2F;unhappychoice&#x2F;gittype" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;unhappychoice&#x2F;gittype</a>Would love feedback from fellow devs — especially around the scoring system and ideas for new modes. :)

Show HN: GitType – A typing game that uses your own Git repo as practice text

Show HN: LLM wrapped around stocks and crypto

Hi HN,
I run an affiliate site with hundreds of outbound links. Over time, these links break — products go out of stock, vendors change URLs, and sometimes media just disappears. I got tired of manually checking them, so I built check-my-links.com ...my first NextJS project.It scans my site regularly and flags broken links, missing images, or redirects — so I can fix them before users (or SEO bots) notice.It started as a tool for myself, but I figured others might find it useful too. Happy to answer questions or get feedback!Why did I not use existing tools?
- Google Search Console updates slowly
- Sophisticated tools cost hundreds per month
- Free tools are unreliable

Show HN: I made a link checker that checks websites on-demand for broken links

Hi HN, I wanted to share my very first (insignificant) project written in Go: a little CLI tool that displays messages with an animated bunny holding a sign.I wanted to learn Go and needed a small, fun project to get my hands dirty with the language and the process of building and distributing a CLI. I&#x27;ve built a similar tool in JavaScript before so I thought porting it would be a great learning exercise.This was a dive into Go&#x27;s basics for me, from package structure and CLI flag parsing to building binaries for different platforms (never did that on my JS projects).I&#x27;m starting to understand why Go is so praised: it&#x27;s standard library is huge compared with other languages. One thing that really impressed me was the idea (at some point of this journey) to develop a functionality by myself (where in the javascript original project I choose to use an external library), here with the opportunities that std lib was giving me I thought &quot;why don&#x27;t try to create the function by miself?&quot; and it worked! In the Js version I used the nodejs &quot;log-update&quot;, here I write a dedicated pkg.I know it&#x27;s a bit silly, but I could see it being used to add some fun to build scripts or idk highlight important log messages, or just make a colleague smile. It&#x27;s easy to install if you have Go set up:<pre><code> go install github.com&#x2F;fsgreco&#x2F;go-bunny-sign&#x2F;cmd&#x2F;bunnysign@latest
</code></pre>
Since I&#x27;m new to Go, I would genuinely appreciate any feedback on the code, project structure, or Go best practices. The README also lists my planned next steps, like adding tests and setting up CI better.Thanks for taking a look!

Show HN: My first Go project, a useless animated bunny sign for your terminal

We&#x27;re happy to present Veena Chromatic Tuner, an app we&#x27;ve developed for musicians, instrument makers, and ethnomusicologists who need more than just a standard chromatic tuner. Our goal was to create a tool that not only supports pitch detection but also provides deep support for diverse musical intonation systems and offers intuitive visual feedback.The Problem We&#x27;re Solving:
Many tuners are good for Equal Temperament, but has limited support when it comes to the Just Intonation, microtonal music, or the specific requirements of instruments like the Veena where fret positions are determined by precise ratios.Oscilloscope-like Visual Feedback:
Instead of just a needle, you get a dynamic, oscilloscope-like waveform display.In Tune: The waveform appears stabilized, giving you an immediate, confirmation of perfect pitch.
Sharp: The waveform rotates right.
Flat: The waveform rotates left.This dynamic visual feedback, akin to a digital oscilloscope&#x27;s trigger synchronization, offers immediate, precise adjustment cues that go far beyond what a static needle can provide, allowing for incredibly fine-tuned adjustments.Unmatched Intonation Flexibility:
We understand that music isn&#x27;t just 12-TET.Just Intonation Support: Perfect for Indian classical music, early music, and any tradition that relies on pure harmonic relationships between notes. This is crucial for achieving the rich, resonant chords and melodic purity that Equal Temperament can&#x27;t always deliver.Custom Temperaments: Go beyond presets! Create, save, and manage your own unique temperaments with personalized ratio settings. This empowers composers, researchers, and performers to explore microtonal scales and historical tunings with ease.Dedicated Veena Instrument Mode: It allows users to play and tune notes across 24 fret positions, specifically highlighting how note positions on the fretboard vary relative to each other when pure intonation is applied. This feature is invaluable for instrument makers and those studying the physics of string instruments.Other Key Features:Multicultural Note Naming: Display notes in Western, Indian classical (Carnatic&#x2F;Hindustani), and Solfege, with support for multiple Indian language scripts (Tamil, Devanagari, Telugu, Kannada, Malayalam).Adjustable Reference Pitch: Customize A4 frequency from 440Hz to 432Hz or anything in between.Transposition Support: Easily transpose notes for different instruments.This app is would be useful for string players (veena, violin, guitar, sitar, etc.), wind instrument musicians, vocalists, music teachers, students, ethnomusicologists, and especially instrument makers and tuners who need to work with precise intonation and fret setting. Anyone exploring microtonal music will also find it incredibly useful.We&#x27;re actively developing the app, continuously adding features and improvements. While pitch detection is resource-intensive, we strive for broad device compatibility.Check it out on Google Play: [<a href="https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=in.magima.digitaltuner&amp;utm_source=hnews">https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=in.magima.digi...</a>]We welcome your feedback, questions, and thoughts!

Show HN: Veena Chromatic Tuner

Show HN: KeenWrite 3.6.3

Hi HN! This is my first game — something I’ve always wanted to do.It’s a small browser game built with Phaser 3, React, and the phaser template (<a href="https:&#x2F;&#x2F;github.com&#x2F;phaserjs&#x2F;template-react-ts&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;phaserjs&#x2F;template-react-ts&#x2F;</a>).I made it in 2 days (like 8 hours in total real time) using gemini-cli. About 90% of the code was generated with AI, but I learned a lot by making fine tweaks.It only works on PC since it’s a typical WASD + R (reload) shooter.I’d love feedback on: 
- Gameplay (is it fun, too hard?) 
- Ideas for new featuresThanks in advance!ps: I used cubes as a prototype, but now I kind of like them. Should I keep them or implement proper sprites?

Show HN: A small browser game (PC only) built with Phaser 3

Show HN: Shimmy – 5MB privacy-first, local alternative to Ollama (680MB)

So I&#x27;m not an expert in this area, but here&#x27;s an attempt at cost effective, anonymous, age verification flow that probably covers ~70% of use cases in the United States.The basic premise is to leverage your bank (who already has had to perform KYC on you to open an account) to attest to your age for age-restricted merchant sites (pornhub, gambling, etc) without sharing any more information than necessary.Flow works like this:1) You go to gambling.com2) They request you to verify your age3) You choose &quot;Bank Verification&quot;4) You trigger a WebAuthn Credential Creation flow5) gambling.com gives you a string to copy-------------6) You log into your bank7) You go to bank.com&#x2F;age-verify8) You paste in the string you were given9) The bank verifies it&#x2F;you and creates a signed payload with your age-claims (over_18: true, over_21: false)10) You copy this and go back to gambling.com---------------11) You paste the string back into gambling.com12) You perform WebAuthn Auth flow13) gambling.com verifies everything (signatures, webauthn, etc)14) gambling.com sets a session-cookie and _STRONGLY_ encourages you to create an account (with a pass key). This will prevent you from having to verify your age every time you visit gambling.comThe mechanics might feel off, but it feels like this in the neighborhood of a way to perform anonymous age verification.This is virtually free, and requires extremely light infra. Banks can be incentivized with small payments, or offer it because everyone else does and don&#x27;t want to get left behind.

Show HN: Anonymous Age Verification

After building several Tauri desktop apps, I kept hitting the same wall: there&#x27;s no reliable way to access cameras across Windows, macOS, and Linux. Every project meant reinventing camera integration,
 dealing with platform-specific APIs, and debugging permission issues.<pre><code> So I built CrabCamera – a Tauri plugin that handles all the camera complexity for you.

 What it does:

 - One API, three platforms: Same Rust code works on Windows (DirectShow), macOS (AVFoundation), and Linux (V4L2)
 - Permission handling: Automatically requests camera permissions on each platform
 - Format conversion: Takes care of the messy bits between platform formats and what your app needs
 - Error handling: Proper Rust error types instead of mysterious crashes
 - Hot-plugging: Detects when cameras are connected&#x2F;disconnected

 The problem it solves:

 Before CrabCamera, adding camera support to a Tauri app meant:
 1. Writing separate native code for each platform
 2. Managing three different permission systems
 3. Handling format conversions manually
 4. Debugging platform-specific edge cases
 5. Maintaining it all as OS APIs change

 Now it&#x27;s just:
 use crabcamera::Camera;

 let camera = Camera::new()?;
 let frame = camera.capture_frame().await?;

 Why I built it:

 I was working on a plant monitoring app (botanica) that needed reliable camera access for time-lapse photography. Existing solutions were either abandoned, platform-specific, or required complex native
 bindings.

 The Tauri ecosystem is growing fast, but camera support was this obvious gap. Every desktop app eventually needs camera access – video calls, document scanning, AR features, security monitoring.

 Technical highlights:

 - Uses nokhwa for the heavy lifting but wraps it in Tauri-friendly APIs
 - Proper async&#x2F;await support throughout
 - Memory-efficient streaming for video capture
 - Built-in image processing pipeline
 - Extensible plugin architecture

 What&#x27;s next:

 - WebRTC integration for video calls
 - Built-in barcode&#x2F;QR code scanning
 - Face detection hooks
 - Performance optimizations for 4K streams

 The crate is MIT licensed and available on crates.io. I&#x27;d love feedback from other Tauri developers who&#x27;ve wrestled with camera integration.

 Links:
 - Crates.io: https:&#x2F;&#x2F;crates.io&#x2F;crates&#x2F;crabcamera
 - GitHub: https:&#x2F;&#x2F;github.com&#x2F;Michael-A-Kuykendall&#x2F;crabcamera
 - Documentation: https:&#x2F;&#x2F;docs.rs&#x2F;crabcamera</code></pre>

Show HN: CrabCamera – Cross-platform camera plugin for Tauri desktop apps

I built Claudio to solve a simple problem: typing is slow when you have
 complex thoughts to share with Claude. This Chrome extension adds a
 microphone button to Claude.ai that uses OpenAI Whisper for transcription.<pre><code> Key features:
 - One-click voice recording with intelligent progress tracking
 - Audio file upload support (perfect for mobile voice notes → desktop Claude workflow)
 - Speed control (1-2x compression) to reduce API costs
 - Private and secure - your OpenAI API key stays local
 - Real-time transcription stats and performance analytics

 Latest v1.2.1 fixes:
 - Improved audio duration detection using Web Audio API
 - Fixed NaN calculations in transcription time estimates
 - Better error handling for edge cases

 The extension integrates seamlessly into Claude&#x27;s interface - just click
 the mic button, speak naturally, and your voice becomes text. Especially
 useful for content creators, researchers, and anyone who thinks faster
 than they type.

 Use cases I&#x27;ve found most valuable:
 - Recording ideas during walks&#x2F;commutes, then uploading the audio files to
 Claude desktop
 - Dictating complex code explanations and documentation
 - Converting meeting recordings into structured notes
 - Hands-free email composition

 Installation takes under 2 minutes via Chrome&#x27;s developer mode. The
 extension is free and open-source.

 Download: http:&#x2F;&#x2F;earthpilot.ai&#x2F;claudio&#x2F;

 What voice-to-text workflows have you found most useful in your daily
 work?

 ---
 Independent project, not affiliated with Anthropic or OpenAI. Uses your 
 own OpenAI API key.
</code></pre>
If you&#x27;d like an invite to our weekly AI Playground as my VIP visit <a href="http:&#x2F;&#x2F;earthpilot.ai&#x2F;play" rel="nofollow">http:&#x2F;&#x2F;earthpilot.ai&#x2F;play</a>

Show HN: Claudio – Audio Input for Claude.ai

I like light transport simulations and I like getting a job. So I created a simulation of glass caustics for my portfolio page. Because simulating things is intensive for web&#x2F;mobile, it pre-computes the caustics which it then saves as an atlas and displays to the user. Hope you like it and please let me know if I can improve it! :)Chai