Laws of Software Engineering

Anthropic says OpenClaw-style Claude CLI usage is allowed again

Framework Laptop 13 Pro

John Ternus to become Apple CEO - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47840219">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47840219</a> - April 2026 (1213 comments)

Tim Cook's Impeccable Timing

MNT Reform is an open hardware laptop, designed and assembled in Germany

Hi HN,
I built VidStudio, a privacy focused video editor that runs in the browser. I tried to keep it as frictionless as possible, so there are no accounts and no uploads. Everything is persisted on your
machine.Some of the features: multi-track timeline, frame accurate seek, MP4 export, audio, video, image, and text tracks, and a WebGL backed canvas where available. It also works on mobile.Under the hood, WebCodecs handles frame decode for timeline playback and scrubbing, which is what makes seeking responsive since decode runs on the hardware decoder when the browser supports it.
FFmpeg compiled to WebAssembly handles final encode, format conversion, and anything WebCodecs does not cover. Rendering goes through Pixi.js on a WebGL canvas, with a software fallback when WebGL is
not available. Projects live in IndexedDB and the heavy work runs in Web Workers so the UI stays responsive during exports.Happy to answer technical questions about the tradeoffs involved in keeping the whole pipeline client-side. Any feedback welcome.Link: <a href="https:&#x2F;&#x2F;vidstudio.app&#x2F;video-editor" rel="nofollow">https:&#x2F;&#x2F;vidstudio.app&#x2F;video-editor</a>

Show HN: VidStudio, a browser based video editor that doesn't upload your files

Edit store price tags using Flipper Zero

Running a Minecraft Server and More on a 1960s Univac Computer

Vercel April 2026 security incident - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47824463">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47824463</a> - April 2026 (485 comments)A Roblox cheat and one AI tool brought down Vercel&#x27;s platform - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47844431">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=47844431</a> - April 2026 (145 comments)

The Vercel breach: OAuth attack exposes risk in platform environment variables

Eight years ago, my then-fiancée and I decided to get a prenup, so we hired a local mediator. The meetings were useful, but I felt there was no systematic process to produce a final agreement. So I started to think about this problem, and after a bit of research, I discovered the Nash bargaining solution.Yet if John Nash had solved negotiation in the 1950s, why did it seem like nobody was using it today? The issue was that Nash&#x27;s solution required that each party to the negotiation provide a &quot;utility function&quot;, which could take a set of deal terms and produce a utility number. But even experts have trouble producing such functions for non-trivial negotiations.A few years passed and LLMs appeared, and about a year ago I realized that while LLMs aren’t good at directly producing utility estimates, they are good at doing comparisons, and this can be used to estimate utilities of draft agreements.This is the basis for Mediator.ai, which I soft-launched over the weekend. Be interviewed by an LLM to capture your preferences and then invite the other party or parties to do the same. These preferences are then used as the fitness function for a genetic algorithm to find an agreement all parties are likely to agree to.An article with more technical detail: <a href="https:&#x2F;&#x2F;mediator.ai&#x2F;blog&#x2F;ai-negotiation-nash-bargaining&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mediator.ai&#x2F;blog&#x2F;ai-negotiation-nash-bargaining&#x2F;</a>

Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness

Hi, I’m Jakub, a solo founder based in Warsaw.I’ve been building GoModel since December with a couple of contributors. It&#x27;s an open-source AI gateway that sits between your app and model providers like OpenAI, Anthropic or others.I built it for my startup to solve a few problems:<pre><code> - track AI usage and cost per client or team
 - switch models without changing app code
 - debug request flows more easily
 - reduce AI spendings with exact and semantic caching
</code></pre>
How is it different?<pre><code> - ~17MB docker image
 - LiteLLM&#x27;s image is more than 44x bigger (&quot;docker.litellm.ai&#x2F;berriai&#x2F;litellm:latest&quot; ~ 746 MB on amd64)
 - request workflow is visible and easy to inspect 
 - config is environment-variable-first by default
</code></pre>
I&#x27;m posting now partly because of the recent LiteLLM supply-chain attack. Their team handled it impressively well, but some people are looking at alternatives anyway, and GoModel is one.Website: <a href="https:&#x2F;&#x2F;gomodel.enterpilot.io" rel="nofollow">https:&#x2F;&#x2F;gomodel.enterpilot.io</a>Any feedback is appreciated.

HN

Laws of Software Engineering

Anthropic says OpenClaw-style Claude CLI usage is allowed again

Framework Laptop 13 Pro

Tim Cook's Impeccable Timing

MNT Reform is an open hardware laptop, designed and assembled in Germany

Show HN: VidStudio, a browser based video editor that doesn't upload your files

Edit store price tags using Flipper Zero

Running a Minecraft Server and More on a 1960s Univac Computer

The Vercel breach: OAuth attack exposes risk in platform environment variables

Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness

Show HN: GoModel – an open-source AI gateway in Go

A type-safe, realtime collaborative Graph Database in a CRDT

Clojure: Transducers

Fusion Power Plant Simulator

Britannica11.org – a structured edition of the 1911 Encyclopædia Britannica

Tindie store under "scheduled maintenance" for days

A Periodic Map of Cheese

Meta capturing employee mouse movements, keystrokes for AI training data

Cal.diy: open-source community edition of cal.com

OpenAI Livestream