The best Hacker News stories from Show from the past day
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Show HN: Galaxium, an experimental WebGPU space explorer
Show HN: Galaxium, an experimental WebGPU space explorer
Show HN: Yet another minimal and lightweight terminal multiplexer written in Go.
Show HN: RealDiff – runtime behavior diffing for pull requests (six languages)
Show HN: Sesame - a local-first, open-source password manager
I have been working on Sesame, an open-source password manager that keeps your vault local by default. You don't need an account to create or use a vault, and the hosted service never receives the vault itself.
It's still early software and the independent security review isn't finished yet, so I am mainly interested in feedback, testing, and people looking through the code.<p>(Linux support is yet to be released on v0.1.2, but currently is in the works.)
Show HN: Sesame - a local-first, open-source password manager
I have been working on Sesame, an open-source password manager that keeps your vault local by default. You don't need an account to create or use a vault, and the hosted service never receives the vault itself.
It's still early software and the independent security review isn't finished yet, so I am mainly interested in feedback, testing, and people looking through the code.<p>(Linux support is yet to be released on v0.1.2, but currently is in the works.)
Show HN: Sesame - a local-first, open-source password manager
I have been working on Sesame, an open-source password manager that keeps your vault local by default. You don't need an account to create or use a vault, and the hosted service never receives the vault itself.
It's still early software and the independent security review isn't finished yet, so I am mainly interested in feedback, testing, and people looking through the code.<p>(Linux support is yet to be released on v0.1.2, but currently is in the works.)
Show HN: SubSmith – Turn your own videos into language-learning material
I've been learning Japanese for a few years and kept running into a similar problem. I'd find a video I wanted to learn from, hear a useful sentence, and then realise that turning that sentence into something I could study later was both time consuming and draining at times.<p>I would end up jumping between a video player, subtitles/transcription, a dictionary, screenshots, audio clips and Anki. So I built SubSmith to bring that workflow together.<p>You can drop a video or audio file into it, generate a transcript locally and then use the transcript alongside the media to:<p>* look up words and sentences
* replay individual lines
* edit the transcript
* save useful sentences with their original context/audio
* export them as Anki cards<p>The important part for me is that it works with your own media. It isn't tied to a particular streaming service or library, so I can use the random anime episode, podcast, lecture, etc. that I'm actually interested in studying.<p>It's an offline-first desktop app, and transcription happens locally rather than sending the media to a transcription API.<p>I'm sharing it here because I'm now more interested in finding out where this workflow breaks down for other people rather than adding features randomly now that I have solid core/base.<p>For example:<p>* Would you actually save sentences from your own media?
* Which part of this process feels like too much work?
* Does having the audio/context attached make creating an Anki card more useful?
* Would you prefer this to work inside your existing video player/browser?
* Is installing a desktop app a significant barrier?
* And does requiring an account before starting the free trial make you give up?<p>The current version does require an account to start the trial, and I'm trying to work out whether that's meaningful friction for the people who would actually use this.<p>It's free to try, and I'd particularly appreciate feedback from people who already learn languages through their own videos, anime, films, podcasts or other media.<p>I'm the developer, so I'll be around in the comments to answer questions and discuss how it works.<p><a href="https://subsmith.app" rel="nofollow">https://subsmith.app</a>
Show HN: SubSmith – Turn your own videos into language-learning material
I've been learning Japanese for a few years and kept running into a similar problem. I'd find a video I wanted to learn from, hear a useful sentence, and then realise that turning that sentence into something I could study later was both time consuming and draining at times.<p>I would end up jumping between a video player, subtitles/transcription, a dictionary, screenshots, audio clips and Anki. So I built SubSmith to bring that workflow together.<p>You can drop a video or audio file into it, generate a transcript locally and then use the transcript alongside the media to:<p>* look up words and sentences
* replay individual lines
* edit the transcript
* save useful sentences with their original context/audio
* export them as Anki cards<p>The important part for me is that it works with your own media. It isn't tied to a particular streaming service or library, so I can use the random anime episode, podcast, lecture, etc. that I'm actually interested in studying.<p>It's an offline-first desktop app, and transcription happens locally rather than sending the media to a transcription API.<p>I'm sharing it here because I'm now more interested in finding out where this workflow breaks down for other people rather than adding features randomly now that I have solid core/base.<p>For example:<p>* Would you actually save sentences from your own media?
* Which part of this process feels like too much work?
* Does having the audio/context attached make creating an Anki card more useful?
* Would you prefer this to work inside your existing video player/browser?
* Is installing a desktop app a significant barrier?
* And does requiring an account before starting the free trial make you give up?<p>The current version does require an account to start the trial, and I'm trying to work out whether that's meaningful friction for the people who would actually use this.<p>It's free to try, and I'd particularly appreciate feedback from people who already learn languages through their own videos, anime, films, podcasts or other media.<p>I'm the developer, so I'll be around in the comments to answer questions and discuss how it works.<p><a href="https://subsmith.app" rel="nofollow">https://subsmith.app</a>
Show HN: SubSmith – Turn your own videos into language-learning material
I've been learning Japanese for a few years and kept running into a similar problem. I'd find a video I wanted to learn from, hear a useful sentence, and then realise that turning that sentence into something I could study later was both time consuming and draining at times.<p>I would end up jumping between a video player, subtitles/transcription, a dictionary, screenshots, audio clips and Anki. So I built SubSmith to bring that workflow together.<p>You can drop a video or audio file into it, generate a transcript locally and then use the transcript alongside the media to:<p>* look up words and sentences
* replay individual lines
* edit the transcript
* save useful sentences with their original context/audio
* export them as Anki cards<p>The important part for me is that it works with your own media. It isn't tied to a particular streaming service or library, so I can use the random anime episode, podcast, lecture, etc. that I'm actually interested in studying.<p>It's an offline-first desktop app, and transcription happens locally rather than sending the media to a transcription API.<p>I'm sharing it here because I'm now more interested in finding out where this workflow breaks down for other people rather than adding features randomly now that I have solid core/base.<p>For example:<p>* Would you actually save sentences from your own media?
* Which part of this process feels like too much work?
* Does having the audio/context attached make creating an Anki card more useful?
* Would you prefer this to work inside your existing video player/browser?
* Is installing a desktop app a significant barrier?
* And does requiring an account before starting the free trial make you give up?<p>The current version does require an account to start the trial, and I'm trying to work out whether that's meaningful friction for the people who would actually use this.<p>It's free to try, and I'd particularly appreciate feedback from people who already learn languages through their own videos, anime, films, podcasts or other media.<p>I'm the developer, so I'll be around in the comments to answer questions and discuss how it works.<p><a href="https://subsmith.app" rel="nofollow">https://subsmith.app</a>
Show HN: OpenTIE and OpenXWA, Modern Ports of Tie Fighter and X-Wing Alliance
Show HN: OpenTIE and OpenXWA, Modern Ports of Tie Fighter and X-Wing Alliance
Show HN: OpenTIE and OpenXWA, Modern Ports of Tie Fighter and X-Wing Alliance
Show HN: Restoredrill – proves your Postgres backups restore
Show HN: Restoredrill – proves your Postgres backups restore
Show HN: Build your own theme park
I built an agent that helps you build Rollercoaster Tycoon-influenced theme parks. You can prompt something like “Build me a cool theme park” and it’ll build a cohesive theme park with multiple worlds and connected with paths and rides.<p>The weird part is that I built it using the same ideas we use to make AI-generated websites follow a company’s design system.<p>I work as an engineer at Magic Patterns, focused on building our Design System Agent, aimed to use your existing brand, components, and conventions instead of producing something that looks like generic AI-generated UI.<p>By default, models tend to converge on similar-looking designs. This is part of that “vibe coded slop” feeling: the same typography treatments, shadows, cards, icons, animations, etc… My job is to figure out the right context and guardrails so that when you prompt “Build me a dashboard,” the result actually looks like your existing product.<p>At some point I realized those same ideas could be applied to RCT.<p>While in web, you might have rules about which typography, colors, spacing, and components should be used together.<p>In a theme park, you need rules like: rollercoasters need complete tracks, rides need entrances connected to paths, paths need to connect different areas of the park, and a pirate-themed world should actually use pirate-themed scenery.<p>It was interesting seeing how closely the problem of building a coherent theme park resembled the problem of building a coherent product UI. Similarly with web design, simply giving the model the right components wasn't enough.<p>I ended up building an eval loop where Magic Patterns would generate a park, another agent would grade it against a rubric, and then the agent would update its rules and skill files before trying again.<p>The rubric checked things like whether rollercoasters formed valid tracks with at least one drop, whether rides were accessible by paths, whether each world used the appropriate themed scenery, and whether the park worked as a whole.<p>After a lot of iterations, you can now prompt something as simple as “Build me a cool theme park.” and you should get back a fully functioning park with guests, rides, paths, rollercoasters, and themed worlds.<p>Best yet, you can also follow the guests, listen to their thoughts, and watch them ride the rides in RCT fashion.<p>Happy to answer any questions, but would love to see the parks you all create!
Show HN: Voronoi Go
I posted once before but wanted to share again because a lot has changed. There's now a fairly strong bot to play against (contributed by a community member) and also correspondence games. The combination of these things helps a bit in finding people to play against.
Show HN: Voronoi Go
I posted once before but wanted to share again because a lot has changed. There's now a fairly strong bot to play against (contributed by a community member) and also correspondence games. The combination of these things helps a bit in finding people to play against.
Show HN: We built open OpenRouter that turns usage into a better model
Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place.<p>It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior).<p>The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR.<p>Compared to other similar projects we’re open source, take no markup, allow you to mix local models with a marketplace, and use your traffic to (opt in) train you a model. Simple routing doesn’t warrant a 10% token markup.<p>The way we do this is given standardized OTel traces, we mine representative real tasks, use text world models to simulate rollouts for various models, apply an LLM judge, and fit a nearest neighbor classifier on top of an embedding of a prompt to decide the optimal model for each request. Usually this can map out a better pareto curve on cost/quality than just calling single models but it’s not perfect.<p>Using these simulations we can also do things like suggesting cache hit optimizations, new model suggestions, and training models.<p>It’s open source, so you can deploy it on your own infrastructure, use our hosted version with 0 markup, or read how we design for maximum availability on our website.
Show HN: We built open OpenRouter that turns usage into a better model
Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place.<p>It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior).<p>The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR.<p>Compared to other similar projects we’re open source, take no markup, allow you to mix local models with a marketplace, and use your traffic to (opt in) train you a model. Simple routing doesn’t warrant a 10% token markup.<p>The way we do this is given standardized OTel traces, we mine representative real tasks, use text world models to simulate rollouts for various models, apply an LLM judge, and fit a nearest neighbor classifier on top of an embedding of a prompt to decide the optimal model for each request. Usually this can map out a better pareto curve on cost/quality than just calling single models but it’s not perfect.<p>Using these simulations we can also do things like suggesting cache hit optimizations, new model suggestions, and training models.<p>It’s open source, so you can deploy it on your own infrastructure, use our hosted version with 0 markup, or read how we design for maximum availability on our website.