Hacker News: Front Page

I use separate Claude Code accounts for work and personal projects. Having to log out and go through the login flow every time I switched accounts became annoying, so I built a small CLI to solve it.

The commands are intentionally simple:

claude account add myworkaccount claude account add mypersonalaccount claude account use myworkaccount claude account current

After switching, Claude Code works normally:

claude claude "fix this bug in main.py" Repository: https://github.com/hamzarehmandeveloper/claude-account

Give it a try

Comments URL: https://news.ycombinator.com/item?id=49111019

Points: 37

# Comments: 22

SDL_GPU minimal, single-header, high-performance 2D graphics painting library

n67094 — Thu, 30 Jul 2026 14:36:59 +0000

Article URL: https://github.com/n67094/sdl_gp

Comments URL: https://news.ycombinator.com/item?id=49110655

Points: 50

# Comments: 16

Hacker Public Radio

bmacho — Thu, 30 Jul 2026 14:29:27 +0000

Article URL: https://hackerpublicradio.org/

Comments URL: https://news.ycombinator.com/item?id=49110547

Points: 100

# Comments: 18

Launch HN: Prized (YC S26) – Let non-engineer staff build secure internal tools

marinoseliades — Thu, 30 Jul 2026 13:29:03 +0000

Hi HN, we're Marinos and Hudson, founders of Prized (https://prized.dev)! Prized lets non-engineer employees describe the internal tool they need and get a full-stack app, wired to their company’s data and deployed behind the company’s sign-in, without them ever juggling API keys or connectors.

Here's a demo: https://www.youtube.com/watch?v=730MuYOfZTY

The way Prized provides security is by limiting what the agent can reach at the network layer and by keeping credentials out of the sandbox entirely. The sandbox never holds any keys or connector secrets, it only uses scoped session tokens that are stored as opaque placeholders. The real values are swapped into the request headers on our egress proxy. When production data is connected, the sandbox's network policy is set to deny by default so the only path out is via the proxy. Any call the agent makes to an external connector is reviewed by an LLM judge to prevent dangerous operations.

Prized is meant for the internal workflows that start as notebooks or spreadsheets but never become real tools because engineering has more important things to work on. One customer’s data scientist pasted in his personal fraud-detection notebook with hardcoded thresholds and all. After a few prompts, it became a published risk console connected to the company’s data with those thresholds turned into UI controls. Earlier today, we got off a call with them and most of their company is using it.

To do this, you need to give people the freedom to build without having unaudited access to company systems. We allow admins to scope data to specific users or teams and data access is recorded in an audit log. Each tool is built with its own Postgres schema and role, with queries running via an authenticated SQL gateway as that role.

We think Prized sits between products like Lovable and Retool. Lovable makes it easy to generate and host software, but it isn’t designed around distribution with permissions. Retool generally assumes that a technical builder is creating an app for an end user.

Prized treats internal tools as shared objects. Anyone in the workspace can see what others have built, fork, and connect different data. For example, one customer’s marketing lead built a promotional analytics tool. A data scientist at the same company then forked it and added confidence intervals with the existing tool as a starting base. This way workspaces become libraries of tools that people can reuse.

We’re live and self-serve. Our free tier includes 2 tool builds/month and our Teams tier is $100/month. The Enterprise tier is custom and supports personalized features like on-prem deployment.

We're still working out the right boundary between control and freedom. If you've built internal tools before we'd appreciate your feedback!

Comments URL: https://news.ycombinator.com/item?id=49109721

Points: 58

# Comments: 35

Upper stage impacting the moon on 2026 August 5

ryannevius — Thu, 30 Jul 2026 13:21:34 +0000

Article URL: https://www.projectpluto.com/25010d.htm

Comments URL: https://news.ycombinator.com/item?id=49109616

Points: 120

# Comments: 34

RFC 8890 – The Internet is for End Users (2020)

notarobot123 — Thu, 30 Jul 2026 13:07:53 +0000

Article URL: https://mnot.net/blog/2020/for_the_users

Comments URL: https://news.ycombinator.com/item?id=49109474

Points: 104

# Comments: 30

Why is everyone trying to build a solid-state battery?

crescit_eundo — Thu, 30 Jul 2026 12:38:51 +0000

Article URL: https://www.construction-physics.com/p/why-is-everyone-trying-to-build-a

Comments URL: https://news.ycombinator.com/item?id=49109193

Points: 132

# Comments: 161

Ron Gilbert started production on Thimbleweed Park 2

alberto-m — Thu, 30 Jul 2026 08:10:33 +0000

Article URL: https://www.grumpygamer.com/twp2_announce/

Comments URL: https://news.ycombinator.com/item?id=49107246

Points: 220

# Comments: 102

Show HN: Optimize and serve models with Fable quality at half the cost

SilenN — Sun, 26 Jul 2026 23:35:15 +0000

Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent.

It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814).

We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against).

wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN for model selection (similar to https://arxiv.org/abs/2505.19797).

- Cache aware: cache is taken into account for the effective price in routing.

- Confidence gated: we don't deviate from the best fit model when paired evidence over retrieved neighbors is below 0.5 standard errors or on queries unlike anything in the fit set.

- Optimize for cost or quality: train a balanced, cost max, or quality max router.

Usage

`wmo build` creates the simulation (or add your own benchmark)

`wmo optimize` tunes the router

`wmo serve` starts the server and can run everything fully locally. The simulation and router can update over time as more agent traces are gathered and new models are added.

Router results vs Fable

- RouterBench: -66.5% cost, -1.7% performance, -24.7% latency p50. 77.5% of traffic to Sonnet 5, 16.1% Fable 5.

- TauBench: -44.5% cost, +6.3% performance, -20% latency. 83% to Opus 5, 17% to Kimi-K2.6 (over K3).

- Terminal Bench 2: -64% cost, +8% performance, -50.6% latency. Sonnet 5 is fully along the pareto front. Training a specialized router per task isn't cheap. In sparse data regimes the value can be "here's the best model".

We're working on sample effiient continual learning for agent specific models at experientiallabs.ai"

Comments URL: https://news.ycombinator.com/item?id=49063454

Points: 50

# Comments: 22