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Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

See also: <i>Avian Visitors</i> - <a href="https://news.ycombinator.com/item?id=48343424">https://news.ycombinator.com/item?id=48343424</a> - May 2026 (20 comments)

Show HN: Apollo Lunar Module landing simulation

I have always had deep fascination for Apollo spacecraft, especially the Lunar Module (LM). The technical ingenuity of its design, reliability during the missions, and the quirky form make it my favorite machine of all time. I have often dreamed about what the Apollo astronauts (particularly Armstrong and Aldrin) experienced, as they guided the vehicle towards the unknown lunar surface.<p>This is my attempt to simulate the last 3 stages of the descent sequence: Braking (P63), Approach (P64) and Final Landing (P66). The last one requires manual attitude and thrust control to achieve a soft touchdown. I've tried to maintain balance between historical accuracy with simplification, so that an average person like me can manage to land safely with a bit of training.<p>I hope fellow space enthusiasts will enjoy learning its nuances, and experience the challenge & thrill of achieving a soft lunar landing. Note that this requires a keyboard, and is not mobile friendly yet.

Show HN: 1080p is 920px tall – 1k real browser viewports

Show HN: EterDB, a Postgres fork that makes it easy to recover from incidents

Hey everyone, a few months ago, after recovering from a Clade-generated bug, I was thinking to myself “wouldn’t it be nice if prod DB writes were easy to roll back”. I’ve put something together: it’s a two-container deploy plus a CLI tool. It’s far from being production ready, so please be gentle. All feedback welcome!<p>The nitty gritty: <a href="https://eterdb.com/tech" rel="nofollow">https://eterdb.com/tech</a><p>GitHub: <a href="https://github.com/eterdb/eterdb" rel="nofollow">https://github.com/eterdb/eterdb</a>

Show HN: Is It Greg?

My friend Greg often posts incredible things he just made, just for fun.<p>Often, I don't realize that it's something HE made and then I see the URL, AND IT'S MY FRIEND, GREG!<p>A few things he made that I think are amazing:<p>- ikea complexity index: <a href="https://ikea.greg.technology/" rel="nofollow">https://ikea.greg.technology/</a><p>- Boing: <a href="https://boing.greg.technology/" rel="nofollow">https://boing.greg.technology/</a><p>I want to make sure I don't miss anything from him, so I created this Chrome extension that flags things posted by Greg, or linking to his website or a subdomain.<p>I hope other people will install the extension and never miss anything Greg made.

Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost

Hey HN, Toby from Nari Labs here.<p>We've been working on making OSS speech models super-fast. Last year, we built Dia, the first OSS text-to-speech model capable of doing natural dialogue. Since then, so many more great speech models have been released to the public.<p>But the market is still dominated by closed source models. We think that's an inference problem. Existing systems such as vLLM / SGLang are not well suited for multimodal inference. To prove this, we built an inference engine specialized for Qwen3-TTS and open-sourced it (<a href="https://github.com/nari-labs/nari-qwen3-tts" rel="nofollow">https://github.com/nari-labs/nari-qwen3-tts</a>). Running at sub-50 ms latency at 10 RPS, this showed open models can be run much faster and cheaper.<p>Since then, we've been working hard to bring cheap, fast, and high quality serving to all. And we've even beat closed models at their game!<p>Measured on the highly cited Coval (YC S24) voice AI benchmarks, our Qwen3-TTS endpoint not just is #2 in latency, but #1 in accuracy (WER) compared to 11Labs, Cartesia etc. while being the cheapest endpoint. Our Qwen3-ASR endpoint has the lowest latency and #2 accuracy, just 0.1% away from #1. It is the second cheapest model on the list.<p>It took a lot of clever inference engineering to make these models quick, perform well while keeping costs low. Interestingly, Alibaba's official endpoints seem to perform worse in terms of accuracy and latency compared to ours. But nonetheless, much love to the Qwen team for OSS-ing these amazing speech models.<p>We want to continue to push prices down to make speech technology a commodity - so that every app can have great TTS and STT without worrying about unit costs. We're also working on other parts of audio such as diarization - as well as video and world model inference. More to come!

Show HN: Kinesis – Control your Mac with the Meta Neural Band

a couple hours ago i had astra take on a 10 month old repo of mine <a href="https://github.com/callbacked/neural-band-poc/" rel="nofollow">https://github.com/callbacked/neural-band-poc/</a> that involved finding a way to use the meta neural band independently from the glasses to read the sEMG data off of it. i really think it is a cool piece of technology that largely gets overlooked by the glasses, and always thought it was a shame it couldn't be used outside of its main application.<p>after making quick work of that, i wanted to use it to control my mac using gesture controls and that's how kinesis was born. it has been very cool being able to swipe from desktops using my fingers, swiping up to open up mission control or controlling a virtual knob to adjust my volume.<p>i definitely havent scratched the surface with the neural band but it has been a really fun endeavor thus far! i really hope others can find creative uses for their neural bands too :)<p>note: i really hope this works on other bands because the sample size has just been me so far.

Show HN: Kinesis – Control your Mac with the Meta Neural Band

a couple hours ago i had astra take on a 10 month old repo of mine <a href="https://github.com/callbacked/neural-band-poc/" rel="nofollow">https://github.com/callbacked/neural-band-poc/</a> that involved finding a way to use the meta neural band independently from the glasses to read the sEMG data off of it. i really think it is a cool piece of technology that largely gets overlooked by the glasses, and always thought it was a shame it couldn't be used outside of its main application.<p>after making quick work of that, i wanted to use it to control my mac using gesture controls and that's how kinesis was born. it has been very cool being able to swipe from desktops using my fingers, swiping up to open up mission control or controlling a virtual knob to adjust my volume.<p>i definitely havent scratched the surface with the neural band but it has been a really fun endeavor thus far! i really hope others can find creative uses for their neural bands too :)<p>note: i really hope this works on other bands because the sample size has just been me so far.

Show HN: Pelican-bicycle alternatives

In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a pipe organ.” Simon mentioned that experiment on his blog [1].<p>Nine months have passed and much stronger models have been released, so I tried the experiment again today. The linked site shows the results.<p>Running ten of the prompts through six models at OpenRouter cost about twenty dollars, so I stopped there for now.<p>[1] <a href="https://simonwillison.net/2025/Nov/25/" rel="nofollow">https://simonwillison.net/2025/Nov/25/</a>

Show HN: Pelican-bicycle alternatives

In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a pipe organ.” Simon mentioned that experiment on his blog [1].<p>Nine months have passed and much stronger models have been released, so I tried the experiment again today. The linked site shows the results.<p>Running ten of the prompts through six models at OpenRouter cost about twenty dollars, so I stopped there for now.<p>[1] <a href="https://simonwillison.net/2025/Nov/25/" rel="nofollow">https://simonwillison.net/2025/Nov/25/</a>

Show HN: Neobrutalism.dev – Just added Base UI support and added new color theme

Show HN: Neobrutalism.dev – Just added Base UI support and added new color theme

Show HN: I built my own knowledge graph from the code AI writes

Show HN: Determinstic LLM inference for lowest price Gemma 4, with Windows XP

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