u/FreshGrapefruit4569

Image 1 — Made an app which has cognitive game for seniors and their family or caretakers can monitor their progress
Image 2 — Made an app which has cognitive game for seniors and their family or caretakers can monitor their progress

Made an app which has cognitive game for seniors and their family or caretakers can monitor their progress

Hey everyone, my team is building Eldie, an AgeTech platform to combat senior loneliness.

We had a tricky ethical/architectural problem: How do we let families monitor a senior's engagement with our conversational AI without giving them a transcript of private chats?

The Fix: We use an LLM strictly as an abstraction layer on the backend. It analyzes the chats and sends only metadata (e.g., "Mood: Joyful", "Topic: 70s Music") to the family. No chat logs ever touch the client.

To make the monetization work, we built 3 native frontends on the same backend:

  1. Senior App (B2C): Simplified UI, seeded daily cognitive games, and the AI companion.
  2. Caregiver App (B2C): Freemium dashboard showing the LLM summaries and a family leaderboard.
  3. Facility App (B2B): An iPad app for nursing homes to project our logic games like a "Kahoot for seniors" and sync scores back to the families in real-time.

If anyone is building multi-app ecosystems or working with LLM privacy abstraction and wants to talk shop (or just see a live demo of how we wired the architecture together), I'd love to connect.

You can book a quick chat with me here: https://eldie.co/talk

u/FreshGrapefruit4569 — 11 days ago
▲ 3 r/iosdev

Made an app which has cognitive game for seniors and their family or caretakers can monitor their progress

Hey everyone, my team is building Eldie, an AgeTech platform to combat senior loneliness.

We had a tricky ethical/architectural problem: How do we let families monitor a senior's engagement with our conversational AI without giving them a transcript of private chats?

The Fix: We use an LLM strictly as an abstraction layer on the backend. It analyzes the chats and sends only metadata (e.g., "Mood: Joyful", "Topic: 70s Music") to the family. No chat logs ever touch the client.

To make the monetization work, we built 3 native frontends on the same backend:

  1. Senior App (B2C): Simplified UI, seeded daily cognitive games, and the AI companion.
  2. Caregiver App (B2C): Freemium dashboard showing the LLM summaries and a family leaderboard.
  3. Facility App (B2B): An iPad app for nursing homes to project our logic games like a "Kahoot for seniors" and sync scores back to the families in real-time.

If anyone is building multi-app ecosystems or working with LLM privacy abstraction and wants to talk shop (or just see a live demo of how we wired the architecture together), I'd love to connect.

You can book a quick chat with me here: https://eldie.co/talk

u/FreshGrapefruit4569 — 11 days ago

Hey everyone. I wanted to share the journey of my side project, Eldie. It started as a simple MVP for a health hackathon because my co-founder and I needed a way to monitor our aging parents' cognitive decline without making them feel like lab rats.

The Problem: Caregiver apps are usually too invasive (cameras/trackers), and brain games don't offer family oversight. What we built: A dual-ecosystem. The senior gets a super-simplified frontend with memory/reaction games and a proactive conversational AI. The family gets a dashboard. The Tech/Privacy Hook: We used an LLM to act as a privacy filter. It reads the senior's conversations with the AI, but only outputs abstract mood summaries to the family. Total privacy for the senior, peace of mind for the family.

We recently grew from 2 to 5 people, brought a psychiatrist on board to validate our medical metrics, and just crossed 100,000 games played.

Our biggest learning: Seniors hate subscription fatigue. We made the senior app 100% free and monetized the family app via a freemium model (basic mental age tracking is free, advanced AI summaries are paid).

Would love any feedback on our onboarding flow or how we handle the LLM summaries. Happy to answer any questions about the tech stack!

reddit.com
u/FreshGrapefruit4569 — 23 days ago

Hi everyone. My team and I recently built an app (started as a health hackathon project) because I wanted a way to monitor my grandparents' cognitive decline, but I absolutely hated the idea of using invasive cameras or making them feel like they were under medical surveillance.

We created an app that uses simple daily brain games to generate a cognitive score. To help with isolation, we added a proactive conversational AI that chats with them. The biggest hurdle was privacy—so we made it so the family only gets an AI-generated summary of their moods and topics, not the actual transcripts.

We just brought a psychiatrist onto the team to help validate our metrics, but I really want feedback from actual caregivers dealing with this day in and day out.

  • Does this solve a real problem for you?
  • What features are we completely missing?
  • What would make you instantly delete it?

I'm not here to sell anything (the app is completely free for the seniors). I just want to know if we are building something that actually helps. Thank you so much.

reddit.com
u/FreshGrapefruit4569 — 23 days ago