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 [email protected].

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

Homepage: https://veila.ai

Happy to answer any questions.

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