ETL to QE, Update 76, Summary of Nostr QE Related Projects
Date: 2025-05-09
As a reminder I have two goals for the Dentropy Daemon of which Question Engine is the MVP,
- Put all data I have ever personally generated or touched into a single easily queryable interface
- Make an extensible ReBAC,RBAC, TBAC, LDAP like, AAA - Authentication, Authorization, and Access Control Enabled Permission System to easily allow sharing of my data with and among others to create a new medium for applications to shape the human experience
DDaemon Use Case One
Let's imagine this ddaemon that had perfectly implemented those two goals would be used right now.
I could build an Algotainment feed that would query all my friend's Daemons for what they have watched and liked in the last 24 hours and generate a feed from it.
This could include all media across platforms from TikTok, Youtube, Instagram, Jellyfin Twitch, and other sources.
I might see one friend learning about the Roman Empire, another watching some Reality TV Show, and another watching a specific Twitch Influencer.
The act of not having to personally message someone to know what media they are consuming and having them put in the will power to respond in my opinion is a fundamental change to the social media experience.
It can also be made more fun and exciting, your daemon doesn't necessarily have to respond with what your are watching, you can make your daemon respond to a specific friend that you are binge watching a specific anime instead of what media you are actually consuming to help encourage them to consume it.
This is similar to the experience expressed in Accelerando where people subscribe to Manfred Macx's WebLog.
- Query Friend's Browser History for IMDB Pages
- Query Family's Amazon Purchase history for a coffee maker
- Query Family's Location History for Restaurants in a Specific City
- Query your Top 100 Relationships for who has a Gym Membership and where
- When you are spending time with Family or Friends and want to watch a movie have the recommendation algorithm generated on the fly based on everyone's watching history, and movie preferences, also see why the algorithm is recommending each movie
DDaemon Bindings
I like to call each Platform/Protocol such as Discord Data, Web Browsing Data etc. etc. an integration to the Dentropy a Binding. I have developed ETL solutions to scrape, index, then query various pieces of data including. Here are some notable bindings in various stages of development,
- Markdown Folder Binding (MVP)
- Keybase Binding (MVP)
- Discord Binding (MVP)
- ENS Indexing (MVP)
- ActivityPub Binding (Implementation Stage)
- ActivityWatch Binding (Implementation Stage)
- Web Browsing History
- Automated Life Logging of Desktop Windows
- Matrix Protocol Binding (Research Stage)
- Web Archiving Binding (Research Stage)
- Other DDaemon Bindings