Alternatives
Products that do what Hearthlight does
Opensource AI for the physical world
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Hey HN, we're building Skyvern (https://www.skyvern.com), an open-source tool that uses LLMs and computer vision to help companies automate browser-based workflows. You can see some examples here: https://github.com/Skyvern-AI/skyvern#real-world-examples-of... and there's a demo video at https://github.com/Skyvern-AI/skyvern#demo, along with some instructions on running it locally. We provide a natural-language API to automate repetitive manual workflows that happen within the companies' backoffices. You can check out our code and play with…
2024 · github.com
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Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai
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Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…
2024 · glhf.chat
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2014 · github.com
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Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom…
2023 · github.com
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I have been working on making WebRTC + Embedded Devices easier for a few years. This is a hackathon project that pulled some of that together. I hope others build on it/it inspires them to play with hardware. I worked on it with two other people and I had a lot of fun with some of the ideas that came out of it. * Extendable/hackable - I tried to keep the code as simple as possible so others can fork/modify easily. * Communicate with light. With function calling it changes the light bulb, so it can match your mood or feelings. * Populate info from clients you control. I wanted…
2025 · github.com
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Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com
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Hi HN — I built Hearth for my family: https://ourhearth.ai Hearth is a shared workspace for a household. We use it for plans, notes, schedules, people, and recurring family rituals, with an AI agent that can work across that context. Kind of like a shared Obsidian with an agent. The cool part is that the agent can also build apps on top of the family's notes and run them inside the same workspace. We have a calendar and a travel app, for instance, and all the apps I use to manage my company's operations are in another Hearth. Hearth is built on Playground, a library we're…
24d ago
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Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai
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Hey all! We're Skylight, a team founded by Maria (DeepMind Scholar in AI) and Adam (PhD researcher focused on LLMs). We’re building Windows virtual machines that can be operated by computer-use agents (CUAs). You can spin up persistent Windows instances in seconds and operate them with CUAs. We’ve created a built-in agent, or you can plug in your own with the API + SDK. Skylight works best to automate apps and legacy software that don’t have APIs, such as Microsoft Office and ERP systems. We built this because deploying CUAs in production is way harder than it should be, and we packed in all…
2025 · launchskylight.com
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2023 · chathub.gg
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