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Launch HN: Tokenless (YC S26) – Automatic model switching to save money

Hi HN, Rohit here from Tokenless (usetokenless.com), which I’m building alongside co-founders Andrew and Kev. We’re building an API gateway which routes agent traffic dynamically turn-by-turn between different models to save on AI spend. The cost of AI tokens is top-of-mind for many. Companies like Uber and Salesforce have been complaining about blowing their yearly AI spend faster than expected. Frontier models are amazing for dev work, but are so expensive. Open-source models are cheap and rap

2026-07-29 原文 →
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Ask HN: My domain registrar (Hover) rug-pulled me for $3000

I registered the domain onlyfans.sexy ~6 years ago as a gag where I'd post pictures of fans (everything on the site and in this post is SFW). This year I got an email stating that, like all prior years, the domain would auto-renew at $38 in seven days and didn't think anything of the next two emails also notifying me that the domain would auto-renew. It would seem that I very much SHOULD have paid attention to those next two emails, because in both the three and one day renewal emails the price

2026-07-29 原文 →
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Belkin killed my smart switch. I got it working again without their app

I bought a wifi switch from Belkin over 10 years ago, but the app got turned off. I wanted to use the switch to automate my mosquito repellent. Unfortunately it still had my timer running from Christmas, which meant it turned off too early. It ruined my last night's sleep. First thing in the morning I opened the app and wanted to change the timer. The app was offline and I read online that it is discontinued. The switch is basically garbage now. I was pissed at first, but then I gave my AI agent

2026-07-29 原文 →
AI 资讯

Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference too

2026-07-29 原文 →