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GoGoGrandparent (YC S16) is hiring back end engineers
2026-08-28 @ 03:35:15Points: 1
CSV merger that lines up mismatched columns by header, browser-only
2026-08-28 @ 03:22:04Points: 9Comments: 1
Bootstrappable Builds: How and Why
2026-08-28 @ 03:02:42Points: 46Comments: 51
Show HN: IndexFlow – Open-source indexing infrastructure built with Rust
2026-08-28 @ 02:46:39Points: 22Comments: 6
USDA recalls 30k pounds of Argentine beef sold in Texas and Florida
2026-08-28 @ 02:05:57Points: 112Comments: 71
Judge Rules Trump Administration’s Blacklisting of Anthropic Was Illegal
2026-08-28 @ 02:03:38Points: 272Comments: 248
Stripe said to abandon $50B pursuit of PayPal
2026-08-28 @ 01:57:26Points: 178Comments: 241
Terminal-Bench-Science: Evaluating AI agents on scientific research workflows
2026-08-28 @ 00:06:51Points: 105Comments: 33
Select * from Internet.blogposts
2026-08-27 @ 22:34:32Points: 123Comments: 55
Show HN: OpenTIE and OpenXWA, Modern Ports of Tie Fighter and X-Wing Alliance
2026-08-27 @ 22:10:47Points: 208Comments: 53
AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab
2026-08-27 @ 21:46:39Points: 111Comments: 14
Show HN: We built open OpenRouter that turns usage into a better model
2026-08-27 @ 21:18:35Points: 203Comments: 43
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).
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.
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.
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.
Using these simulations we can also do things like suggesting cache hit optimizations, new model suggestions, and training models.
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.
Previewing the Model Hardware Standard
2026-08-27 @ 18:04:50Points: 131Comments: 57
Gemini-3.5-Transcribe
2026-08-27 @ 18:03:42Points: 342Comments: 120
Show HN: Voronoi Go
2026-08-27 @ 18:03:37Points: 152Comments: 22
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.