TypingMind - Pay per use, no subscription, 18 model providers supported
TypingMind is the most popular app to use LLM AI models with API keys. It brings you all the best models across 18 providers in one powerful AI workspace without having to pay for subscriptions to each one.
TypingMind also provides the best AI experience ever with features focused on pro users like Projects, Fork/Parallel chat, Plugins/MCP/Skills, and a wide range of customizable options that you literally cannot find anywhere else!
Go give it a try at www.typingmind.com :)


Replies
The Finalize feature (one model reads all branches and merges them into a final answer) stood out to me. Running the same prompt through three models in parallel and then synthesizing the best answer feels like a genuinely different workflow. How long does the merge step typically take?
Congrats on the launch!
🎉 Congratulations @tony_dinh2 and the whole TypingMind team on the 2026 launch!
I've been using TypingMind as my daily AI driver for over a year now, and it's honestly transformed how I work. The ability to connect any model via your own API key is genius — you're never locked into one provider, and you actually control your costs. The custom agents with system instructions, the plugin ecosystem, MCP server support, the granular per-model parameter configuration, and the way everything syncs across devices seamlessly... it's the most power-user-friendly AI interface I've come across, and I've tried a lot of tools.
The freedom to swap models mid-workflow, wire up your own tools via MCP, build custom plugins, and tune every model's behavior exactly how you want — that flexibility is genuinely rare, and it's what keeps me here.
Three things would make an already excellent experience perfect for me:
A proper native app for Android and iOS. The PWA works, but a native app would make the mobile experience feel first-class — especially for quick queries on the go.
Better handling of large chat backups. I frequently get a notification that certain chats aren't being backed up because they're "too large" — even when they're well below the documented 10MB limit. It makes cross-device continuity unreliable for long-running deep work sessions, which is exactly when you need sync the most.
A self-hosted sync option for personal accounts. I run a home server that's accessible from everywhere via VPN. I'd love to point TypingMind's sync at it instead of the cloud — full ownership, zero size limits, works perfectly with my setup. The self-host product exists but it's a full team deployment, not something a power individual user can spin up. A lightweight "sync to your own endpoint" option would be a game changer.
Fix those three things and TypingMind is genuinely untouchable. Keep up the incredible work! 🚀
TypingMind - Chat UI for LLMs
@marwan_alsayedHi Marwan! Thank you for the feedback, those are absolutely genuine improvement areas that we can work on. One thing is for sure: we will definitely improve the large chat sync process. As for the other feedback, we will have it in our backlog and will get to it soon.
Thanks again for supporting our launch!
Landing AI
let's go tony !
whats the benefit for company of 5 to use your tool vs standard apps ?
do you support coding mode?
TypingMind - Chat UI for LLMs
@martin_donadieu
The most obvious benefit is to have the flexibility to switch between models and to use multiple models in parallel! :D
There is no specialized coding mode, but users can still ask the AI to write code, and TypingMind runs it in a code sandbox (provided natively by the model provider!).
Thank you for visiting our launch, Martin! ❤️
Presentify
@tony_dinh2 you're one of the most hardworking indie devs out there and your product clearly reflects that. Typing Mind has so many features, many I didn't realise I needed them. Congrats on the launch!
TypingMind - Chat UI for LLMs
@rampatra thank you so much, Ram!
Alconost Localization Lab
fork/parallel chat is an interesting addition
how do you handle context across branches - does each fork get the full parent context or is it trimmed?
TypingMind - Chat UI for LLMs
@nickzaleski a fork has full parent context. A parallel chat only get context from it’s own branch. There is a “Finalize” feature that will use a chosen model to read all branches and merge them into a final answer 😄
Fedica
Tony!
I am glad to see you when I popped here today, and congrats on the success so far
Happy to part of typingmind for 3 years, seen the complete product evolution with continuous shipping of feature.
Thanks for the best work.
Composio
lets go tony! great to finally see typingmind on PH!
Great to see @TypingMind - Chat UI for LLMs here again. It’s one of the very few AI tools that I started using years ago and are still relevant today. One of the best AI API shells out there with many built in tools and features.