LLMTor – Access Public LLMs anonymously using blind signatures and Tor
Cryptographically unlinkable LLM access via blind signatures—genuinely novel privacy layer.

Orchestrates real-time skepticism between models to catch hallucinations before you see them.
Developers and researchers validating LLM outputs or debugging hallucinations.
Chatbot Arena · Poe · Nat.dev
I got sick of manually copy-pasting every prompt into 3 different windows just to verify the truth. I realized the only way to get real accuracy was to let the models debate & fact-check each other in real-time, in one screen. I couldn't find any platform online that does this and actually works smooth and user-friendly, so I ended up throwing this together just to make my own life easier.
I built an orchestration layer that runs the models in sequence and manages the state and context windows so they can actually debate. The backend routes the conversation to make sure they are skeptical towards each other's opinions, to make sure they catch each other's flaws in thinking. By talking to each other, the models immediately call out each other’s mistakes and when you push a little more, they definitely don't hold back. It currently supports recent models like Claude Sonnet 4.6, Gemini 3.1 Pro and ChatGPT 5.2.
Running this is pretty token-heavy, but the free tier is open so you can test if the approach works for your workflows. Would love to hear your feedback.
Cryptographically unlinkable LLM access via blind signatures—genuinely novel privacy layer.
One prompt, many models — that simple idea is executed with practical extras: independent conversation threads per model, full-text history/search, and bring‑your‑own API keys so you don't copy/paste. The landing page sells the daily‑driver vibe (lifetime one-time pricing is an attention grabber), but the concept itself is not novel; I'd want clearer UI for cost controls, API key security and model/version management before trusting it for heavy use.
Multi-model debate on research hypotheses, but Z3 can't verify the actual claims.
Claude debates GPT and Gemini in parallel rounds; costs $0.02–0.05 per brainstorm.
Debate mode where models change minds is novel, but model comparison tools already exist.
Debate format tests persuasion under opposition, not just completion quality like LMSys Arena.