
Yasu
Cut cloud waste before it happens
What it does
We kept hearing from customers, “We know we are leaking cloud spend. But Yasu's full platform has more than we need right now – we just want to see where we're wasting money”. Fair enough, so we spent the last few weeks building Yasu Lite.
Does the same job
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- IBI built a service to help companies reduce AWS spend by 50%2022 · usage.ai · ▲123
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…

- CSCloudthread Savings Hub – Find AWS Savings or We'll Pay You2023 · cloudthread.io · ▲54
Hello HN! Daniele, Ilia, and Thomas here to share Cloudthread’s new Cost Savings Hub to help companies surface and eliminate cloud waste. We’re putting our money where our mouth is: for the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or we’ll give you a $100 Amazon Gift Card. More context: https://www.cloudthread.io/aws-save-or-get-paid Most cloud infrastructure managers know there’s waste in their cloud environment but it’s challenging and time consuming to 1) surface all the waste, 2) convert those opportunities into actualized…

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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com




Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
