Mixlayer – code and deploy LLM prompts using JavaScript

What it does

Mixlayer delivers frontier-grade APIs for open source AI models.

Powered by the Mixlayer Inference Engine , our platform delivers frontier-grade open source models at a fraction of the cost. Hit production-ready serverless endpoints for the latest open source models. Calibrated for the fastest, lowest-cost inference with no setup. Run the same Mixlayer inference engine in our serverless cloud, on dedicated infrastructure, on-prem, or at the edge—without changing your application. ZDR means prompts and outputs are private. Requests are processed in-memory and discarded immediately after inference, with nothing stored or used for training. Mixlayer is a drop-in replacement for OpenAI-compatible APIs and SDKs. Our inference engine was built from the ground…from mixlayer.com

In the maker’s words, at launch

Hi HN, I'm excited to introduce Mixlayer, a platform I've been working on over the past 6 months that allows you to code and deploy prompts using simple JavaScript functions. Mixlayer recreates the developer experience of using LLMs locally without having to do all of the local setup yourself. I originally came up…

• 
  Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436

  I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…

• 
  I wrote an open-source browser alternative for Computer Use for any LLM2024 · github.com · ▲180

  Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…

• 
  Code ModeNov 2025 · github.com · ▲144

  I’ve been testing a simple idea inspired by Apple/Cloudflare/Anthropic: LLMs are far better at writing a small program than coordinating multiple tool calls. So instead of giving the model 10+ tools, I exposed one: a TypeScript sandbox with access to the same interfaces. The model writes a script → it runs once → done. What changed - +68% reduction in token use - No multi-step drift or retries - Local models (Llama 3.1 8B / Phi-3) became much more reliable Repo: https://github.com/universal-tool-calling-protocol/code-mode Curious whether others have seen…

• 
  Code interpreter with mixtral-8x7B-instruct2023 · github.com · ▲35

  Edge full-stack LLM platform. Written in Rust. Contribute to llm-edge/hal-9100 development by creating an account on GitHub.

• MG
  macOS GUI for running LLMs locally2023 · avapls.com · ▲58

  Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…

• 
  Using LLMs and Embeddings to classify application errors2023 · github.com · ▲65

  Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 18d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

• 
  Onepin▲384

  AI voiceover with every name, price and date said right

  AI · 30d ago · onepin.ai

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 28d ago · world.pixverse.video

• 
  buzzabout▲1,267

  Audience insights from 1B+ online discussions in 2 mins

  AI · 2024 · buzzabout.ai

• 
  bolt.new▲1,230

  Build and scale high-performing websites & apps using your words. Join millions and start building today.

  AI · 2024 · bolt.new

• 
  Feta▲1,217

  Run smarter stand-ups, build better products

  AI · 2024 · feta.io

• 
  Trag▲955

  AI code review companion

  AI · 2024 · usetrag.com

• 
  Softr for Notion▲923

  Turn Notion databases into portals & apps with no code

  Dev tools · 2024 · softr.io

• 
  General Collaboration▲910

  One inbox for all your work discussions

  Work · 2024 · generalcollaboration.com