fjulian

Thanks for sharing this! Fully agree that trust is key, normally being on the user side of privacy-focussed services myself. Open source can help build this trust, but it would be ideal to have a way to make what is actually running on and being served by the servers transparent.

I'd love to hear your feedback if you get around to test Veila, e.g. on hey@veila.ai.

I'm working on Veila, a privacy‑first AI chat service. I wanted something that prevents model providers from profiling users and linking information from chats to their identity.

I'm a robotics engineer by training, this is my first public launch of a web app.

Try it: https://app.veila.ai (free tier, no email required)

  - What it is:
    - Anonymous AI chat via a privacy proxy (provider sees our server, not your IP or account info)
    - End‑to‑end encrypted history, keys derived from password and never leave your device
    - Pay‑as‑you‑go; switch models mid‑chat (OpenAI now; Claude, Gemini and others planned)
    - Practical UX: sort chats into folders, Markdown, copyable code blocks, mobile‑friendly
  - Notes/limits:
    - Not self‑hosted: prompts go to third‑party APIs
    - If you include identifying info, upstream sees it
    - Prompts take a bit long sometimes, because reasoning is set to "medium" for now. Plan to make this adjustable in the future.
  - Looking for feedback:
    - What do you need to trust this? Open source? Independent audit?
    - Gaps in the threat model I'm missing
    - Which UI features and AI models you'd want next
    - Any UX rough edges (esp. mobile)
  - Learn more:
    - Compare Veila to ChatGPT, Claude, Gemini, etc. (best viewed on desktop): https://veila.ai/docs/compare.html
    - Discord: https://discord.gg/RcrbZ25ytb
    - More background: https://veila.ai/about.html

Happy to answer any questions.

I really like https://www.electricitymaps.com. How is rte-france different from that?