u/icecubesaad

Like a lot of you, I want to run LLMs locally to keep my data private and avoid paying monthly cloud API subscriptions. But I was getting frustrated with the ecosystem. You either deal with massive gigabyte installers, wrestle with Python environments, or have to use completely separate apps for chatting, managing HuggingFace downloads, and writing code.

I wanted a single, unified local workspace, so I built OpenLLM Studio.

I just put together a raw demo and wanted to share it with this community first to get your honest feedback (and bug reports).

What it does:

• Hardware Auto-Detection: You don't need to guess which version to install. The app has a 11MB footprint and automatically detects your hardware (CUDA, Metal, Vulkan) to fetch the highly optimized binaries you actually need on demand.
• 100% Local & Private: No telemetry, no cloud calls for inference. Local document parsing (PDF, DOCX, TXT) happens entirely on your machine.
• Autonomous Coding Agent: It’s not just a chat wrapper. I integrated a custom Monaco editor. You can prompt the agent to build a multi-file project (like a React/Vite app with local SQLite), and it will generate the files, verify the build, and even run local UI tests using Playwright.
• MCP Server Support: You can connect it to local tools and servers directly within the UI.

Transparency Note: The tool is partially open-source. I am trying to build a sustainable project here, so while the core integrations and local execution environment are free to use, I want to be upfront about the licensing with this community.

You can download it and try it for free here: openllm-studio.vercel.app
Github: https://github.com/Icecubesaad/OpenLLM-Studio

Like a lot of you, I want to run LLMs locally to keep my data private and avoid paying monthly cloud API subscriptions. But I was getting frustrated with the ecosystem. You either deal with massive gigabyte installers, wrestle with Python environments, or have to use completely separate apps for chatting, managing HuggingFace downloads, and writing code.

I wanted a single, unified local workspace, so I built OpenLLM Studio.

I just put together a raw demo and wanted to share it with this community first to get your honest feedback (and bug reports).

What it does:

• Hardware Auto-Detection: You don't need to guess which version to install. The app has a 11MB footprint and automatically detects your hardware (CUDA, Metal, Vulkan) to fetch the highly optimized binaries you actually need on demand.
• 100% Local & Private: No telemetry, no cloud calls for inference. Local document parsing (PDF, DOCX, TXT) happens entirely on your machine.
• Autonomous Coding Agent: It’s not just a chat wrapper. I integrated a custom Monaco editor. You can prompt the agent to build a multi-file project (like a React/Vite app with local SQLite), and it will generate the files, verify the build, and even run local UI tests using Playwright.
• MCP Server Support: You can connect it to local tools and servers directly within the UI.

Transparency Note: The tool is partially open-source. I am trying to build a sustainable project here, so while the core integrations and local execution environment are free to use, I want to be upfront about the licensing with this community.

You can download it and try it for free here: openllm-studio.vercel.app

OpenLLM Studio is a free Opensource tool that makes running Local LLMs easy. Its the most optimized Local LLMs Ecosystem yet, and doesnt require you to juggle between 2-3 apps just to get 1-2tk/s on Local LLMs.

What does OpenLLM Studio does differently?

OpenLLM Studio scans your hardware and recommends you the Local LLMs that are perfect fit for your hardware. That makes it possible to use Local LLMs in just 6 clicks!

OpenLLM Studio provides a coding toolkit, including code editor, MCP toolkits, Multiple coding agents that can orchestrate your Local LLMs at an insanely high speed!

You should always do a pre beta launch to see the interest of the audience. Demoflow puts some craze in the people as its the first solution to their problem, which is to create product demos. Demoflow helps you create demos using a URL and a prompt. The ai workers access your website using URL and work according to your prompt, and you get a final furnished video ready to post without doing anything.

I used to spend hours recording, cutting, and polishing product demos for my SaaS.

Now I just paste a URL and a prompt.

No screen recording.
No editing timeline.
No motion graphics tools.

Just: URL → AI agent explores product → cinematic MP4.

I built this because I got tired of demos being harder to make than the product itself.

We’re in early beta right now. If anyone here wants to try it or break it, I’m letting indie builders in first.
https://demoflow-sigma.vercel.app/

Demoflow is the world's first AI powered demo generator, built for founders. Making a promotional video is a time taking task and Demoflow can turn those hours into minutes.

The main purpose of it is to quickly generate a demo for your SAAS or a new update you have on your product.

It is currently sitting at #30 on producthunt and would appreciate a little support on it!

https://www.producthunt.com/products/demoflow

Hey everyone,

Whenever I launch a new feature, making a high-quality demo video is the biggest bottleneck. Recording the screen, zooming in on the right spots, smoothing the cursor—it takes forever.

I built DemoFlow to automate this. You just give it a URL and tell it what to do (e.g., "Click sign up, enter a dummy email, and click submit"). It outputs a cinematic video automatically.

We are still polishing a few things, but I’m opening it up to a small group of beta users today here: https://demoflow-sigma.vercel.app

If you build software, I'd love to know: what's the most annoying part of making product demos for you right now?

I got really tired of the usual headache: spending hours trying to figure out which model will actually run on my PC, picking the right quant, dealing with crashes, etc.

I built OpenLLM-Studio — a simple desktop app that does the thinking for you.You just open it, it scans your hardware (GPU, VRAM, RAM, CPU), uses AI to recommend the best model + perfect quantization, downloads it from Hugging Face, and you’re chatting with it in minutes.

No Ollama needed. No terminal commands. No guessing.It’s completely free and open source.

If you’ve ever felt overwhelmed trying to run local LLMs, I’d love to know what you think.Drop your GPU + RAM in the comments and I’ll tell you what model the AI wizard recommends for you.GitHub: https://github.com/Icecubesaad/OpenLLM-Studio
Download: https://openllm-studio.vercel.app

OpenLLM-Studio is a OpenSource free tool which makes it super easy to use Local LLMs. What makes it different is the AI suggestion model that scans your hardware and provide you with recommended models + quants according to your use case. It now comes with a coding agent + inbuilt coding editor too!

No Ollama needed. No terminal commands. No guessing.It’s completely free and open source.

If you’ve ever felt overwhelmed trying to run local LLMs, I’d love to know what you think.

Here is the tutorial on how to download Local LLMs using AI in OpenLLM Studio: https://www.reddit.com/r/startups_promotion/comments/1spfcxx/i_built_a_tool_that_finally_makes_running_local/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

GitHub: https://github.com/Icecubesaad/OpenLLM-Studio
Download: https://openllm-studio.vercel.app

I built OpenLLM-Studio — a free, open-source desktop app that makes running local LLMs extremely simple.

OpenLLM-Studio is a simple desktop app that does the thinking for you. You just open it, it scans your hardware (GPU, VRAM, RAM, CPU), uses AI to recommend the best model + perfect quantization, downloads it from Hugging Face, and you’re chatting with it in minutes.

No Ollama needed. No terminal commands. No guessing.It’s completely free and open source.

If you’ve ever felt overwhelmed trying to run local LLMs, I’d love to know what you think.

Here is the tutorial on how to download Local LLMs using AI in OpenLLM Studio: https://www.reddit.com/r/StartupMind/comments/1spfebg/i_built_a_tool_that_finally_makes_running_local/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

you.GitHub: https://github.com/Icecubesaad/OpenLLM-Studio
Download: https://openllm-studio.vercel.app

I got really tired of the usual headache: spending hours trying to figure out which model will actually run on my PC, picking the right quant, dealing with crashes, etc.

I built OpenLLM-Studio — a simple desktop app that does the thinking for you.You just open it, it scans your hardware (GPU, VRAM, RAM, CPU), uses AI to recommend the best model + perfect quantization, downloads it from Hugging Face, and you’re chatting with it in minutes.

No Ollama needed. No terminal commands. No guessing.It’s completely free and open source.

If you’ve ever felt overwhelmed trying to run local LLMs, I’d love to know what you think.Drop your GPU + RAM in the comments and I’ll tell you what model the AI wizard recommends for you.GitHub: https://github.com/Icecubesaad/OpenLLM-Studio
Download: https://openllm-studio.vercel.app

So