Audn is Protecting Open-ended Interfaces to Intelligent Systems, starting with Voice AI, Audn does penetration testing on voice AI agents and their backbone LLM by simulating adversarial simulations automated and driven totally by the best abliterated AI of the world, Pingu Unchained. Audn's customers include voice AI providers like Freya (YC S25) and Intouchnow.
If you re still sitting on your launch, this is the push.
YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.
We are changing it today, shared Openclaw instances on single local GPU is the way it should be. Why? Pros: Still Open source Unlimited AI tokens Backup, recover, revisions ( every plus thing of cloud computing vs pc)
Cheaper Always synced with latest OpenClaw source code and maintained by others. Reduced latency.
Cons: You don't own whole stack.
LLM Performance might be variable ( but can be solved with engineering) LLM choices might be limited ( It's debatable how openclaw users actually pick their models cost or availability or performance) This is a real experiment launching today: https://penclaw.ai We are changing it today, shared Openclaw instances on single local GPU, unlimited AI. https://www.producthunt.com/p/pe...
