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rrchat
A private AI chat for your local PC models via mobile phone
Use your local PC's llama.cpp from your phone. Clean mobile-ready interface with vision, web search is an open-source, mobile-first WebUI for running local GGUF models on your PC via llama.cpp. Chat with your heavy local models right from your smartphone anywhere via Tailscale or home Wi-Fi. Key features: • Direct llama-server control (monitors VRAM & RAM) • Smart web search & vision/OCR • Built-in sandboxed file agent (Work Mode) • Installable as a PWA on iOS & Androidcy.
I'm the maker of rrchat. Like many local AI enthusiasts, I love running open-weight LLMs (like Qwen, Llama, and DeepSeek) on my PC with llama.cpp.
However, existing web interfaces are mostly built for desktops or require complex Docker configurations. Whenever I wanted to chat with my models from the couch or while on the go, the experience on mobile browsers was frustrating.
I built rrchat to solve this exact problem:
1. Smartphone-first: Scan a QR code, add to Home Screen as a PWA, and you get a native mobile feel with safe-area support.
2. Access anywhere: Integrated with Tailscale Funnel, so you can reach your local PC without installing VPN apps on your phone.
3. Engine control: Directly orchestrates `llama-server`, tracks context and VRAM, and includes smart web search, reasoning blocks, and vision/OCR support.
4. Privacy-first & Shareable: Secured with personal tokens, plus isolated guest tokens if you want to let friends use your GPU without risking your PC.
The project is 100% free and open-source
I’d love to hear your thoughts, feedback, and what features you’d like to see next!
About rrchat on Product Hunt
“A private AI chat for your local PC models via mobile phone”
rrchat was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #375 on the daily leaderboard. Use your local PC's llama.cpp from your phone. Clean mobile-ready interface with vision, web search is an open-source, mobile-first WebUI for running local GGUF models on your PC via llama.cpp. Chat with your heavy local models right from your smartphone anywhere via Tailscale or home Wi-Fi. Key features: • Direct llama-server control (monitors VRAM & RAM) • Smart web search & vision/OCR • Built-in sandboxed file agent (Work Mode) • Installable as a PWA on iOS & Androidcy.
On the analytics side, rrchat competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 592.1k followers on Product Hunt. The dashboard above tracks how rrchat performed against the three products that launched closest to it on the same day.
Who hunted rrchat?
rrchat was hunted by leftik1. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of rrchat including community comment highlights and product details, visit the product overview.
leftik1