123 results found

1. Private Lumo App Store for sharing & monetizing custom “MyLumos” (GDPR-safe alternative to GPT Store)

   Hi Proton Team and Community,

   first of all, thank you for creating Lumo — a privacy-first AI assistant that finally allows European users and businesses to use AI without compromising confidentiality or GDPR compliance. Proton has solved the fundamental problem that all other AI platforms struggle with: trust.

   Now that Lumo exists, I would like to propose the next major step:

   ➡️ A Private Lumo App Store for creating, sharing, and monetizing custom “MyLumos”.

   Just like OpenAI has custom GPTs (and a GPT Store), Proton could offer a secure and encrypted alternative — fully compliant, private, and built inside the Proton ecosystem.

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   1. What this feature would enable

   Users could create their own AI assistants (“MyLumos”) — for example:

   • productivity assistants
   • privacy-focused advisors
   • business workflow helpers
   • educational bots
   • interactive story or game bots
   • niche expert assistants in specific fields

   …and then share them securely with:

   • the entire Proton community,
   • selected groups,
   • teams within a business,
   • or even privately via Proton Drive.

   All without leaving the Proton environment and without any data ever going to third parties.

   This would be the first truly GDPR-compliant AI app ecosystem, something no US-based provider can offer today.

   ---

   2. Why Proton is the perfect place for this

   Other platforms store user chats on US servers, often unencrypted, often used for training, and not protected against government access. This makes serious use cases (business, legal, financial, medical) impossible.

   Lumo is already the solution:

   • End-to-end encrypted
   • No server-side logs
   • Not used for model training
   • Runs in EU-based infrastructure
   • Built by a privacy-focused, community-funded organization

   A Lumo App Store would expand this into a full secure AI ecosystem for Europe.

   ---

   3. Monetization (optional for creators)

   To motivate creators and allow quality apps to thrive, Proton could offer:

   Option A: Ad-supported free usage

   Creators can enable a small, privacy-friendly ad banner (no tracking, no profiling).
   Revenue is shared between Proton and the creator.

   Option B: Remove ads

   Users can pay a small one-time fee or subscription to unlock ad-free usage.
   Pricing is set by the creator.

   This creates a win-win-win situation:

   • Proton receives sustainable income (without surveillance)
   • Creators are rewarded for their work
   • Users can choose between free or premium

   All inside a privacy-respecting system.

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   4. Why this matters

   This would give Europe its first:

   • privacy-first AI marketplace
   • GDPR-compliant platform for business AI
   • safe space for sharing creative and educational AI tools
   • secure alternative to OpenAI’s GPT Store
   • environment where users don’t have to fear data extraction or third-party access

   As a creator myself (building tools like interactive privacy games and business assistants), I would immediately move everything to Proton Lumo if such a store existed — especially for sensitive applications that cannot run on OpenAI for compliance reasons.

   ---

   5. Final statement

   A private Lumo Store would make Proton the leading AI platform for privacy-conscious users, European companies, and creators. It would fill the gap where all other AI platforms fail:
   Privacy, compliance, trust, and transparency.

   I truly believe this could become one of Proton’s most impactful innovations — and I would love to support and contribute to it.

   Thank you for considering this idea!
   Proton + Lumo + Community = 🚀

   Hi Proton Team and Community,

   first of all, thank you for creating Lumo — a privacy-first AI assistant that finally allows European users and businesses to use AI without compromising confidentiality or GDPR compliance. Proton has solved the fundamental problem that all other AI platforms struggle with: trust.

   Now that Lumo exists, I would like to propose the next major step:

   ➡️ A Private Lumo App Store for creating, sharing, and monetizing custom “MyLumos”.

   Just like OpenAI has custom GPTs (and a GPT Store), Proton could offer a secure and encrypted alternative — fully compliant, private, and built inside… more

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2. Sensitive‑Data Confirmation for Feedback

   Problem

   When users give a thumbs‑up/down on a response, the associated snippet (including any code or text shown) is sent for anonymous analysis. If the snippet unintentionally contains sensitive information (IP addresses, ports, encryption keys, hashes, credentials, etc.), that data could be transmitted without the user’s explicit consent.

   Proposed Solution

   Add a post‑feedback check that scans the rated snippet for patterns that look like sensitive data. If a match is found, display a prompt:

   “The content you just rated appears to contain potentially sensitive information (e.g., IP address, key, hash). Do you want to include this data in the feedback you’re sending?”
   

   Provide three options:

   Send anyway – proceed with the normal feedback submission.
   Redact & send – automatically replace detected values with placeholders (e.g., <IP>, <KEY>).
   Cancel – abort the feedback submission so the user can edit or remove the sensitive data.
   

   Benefits

   Reduces risk of accidental leakage of confidential information.
   Gives users explicit control over what data leaves the session.
   Improves overall trust in Lumo’s privacy guarantees, especially for developers and security‑focused users who often share code snippets.
   Aligns with Lumo’s “privacy‑first” positioning without hindering valuable feedback.
   

   Implementation Notes

   Use lightweight regex patterns for common sensitive data types (IPv4/IPv6, ports, hex strings of typical key lengths, SHA hashes, JWTs, etc.).
   Allow the detection sensitivity to be toggled in settings for power users.
   Log only the user’s decision (send/redact/cancel), not the raw snippet, unless the user opts to send it.
   

   Problem

   When users give a thumbs‑up/down on a response, the associated snippet (including any code or text shown) is sent for anonymous analysis. If the snippet unintentionally contains sensitive information (IP addresses, ports, encryption keys, hashes, credentials, etc.), that data could be transmitted without the user’s explicit consent.

   Proposed Solution

   Add a post‑feedback check that scans the rated snippet for patterns that look like sensitive data. If a match is found, display a prompt:

   “The content you just rated appears to contain potentially sensitive information (e.g., IP address, key, hash). Do you want to include this data in the feedback

   … more
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3. The ability to set a permanent but editable preamble that is always considered by Lumo+ at the start and during each chat.

   I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I could have a standing request to go deeper and consider more references before making an answer giving links to where it got it's information.
   I made the mistake of asking Lumo how to send feedback and it got it all wrong. I really don't want an AI that just makes things up.

   I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I… more

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