HN user
In time of despair, I like to remember what Albert Camus said about being a rebel What is a rebel? A man who says no, but whose refusal does not imply a renunciation. He is also a man who says yes, from the moment he makes his first gesture of rebellion.
You might be interested in Graphiti: https://github.com/getzep/graphiti. With a self-hosted Graphiti MCP, you can connect ChatGPT or Claude to build a knowledge graph from all your data. You can then query and update the graph directly through conversation & by ingesting data and visualize the graph using tools like the Neo4j Explorer.Don’t know if that could fit your use case but that could be a fun way!
Wonderful, I didn’t take the time to go inside, I should have! Did you go to the sainte chapelle in Paris? Very beautiful with lot of light.
Great idea! How does it compare to Graphiti / Zep? They use real time knowledge-graphs to tackle the problem you are trying to solve https://github.com/getzep/graphiti
Interesting read, I searched if another startup got this market right, it seems truelayer did using open banking for online payment ($700m valuation) https://truelayer.com/
I checked your project, that’s really good and I saw that you’re working on Q&A that will be very useful!
You’re right, did you check CircleMind? Could it be useful in your case? https://www.ycombinator.com/companies/circlemind
And right now Agent.ai is gaining traction (500k+ users)
The issue isn't search or LLMs, it's the data sources. I believe we can create something better than the traditional web for sharing and accessing information in the LLM era. What do you think?
I completely agree with you. Establishing clear guidelines on how data is used and who can access it would be essential. This concept has value beyond just sales and marketing. For instance, if someone is seeking funding today, where can they find a comprehensive list of potential funders, determine their eligibility, understand the application process, and know what documents are required?
Of course, spam could be an issue. To maintain a trustworthy and reliable environment, a robust reputation system—similar to Google's PageRank could evaluate individuals and their contributions. It would replicate the way we naturally seek advice from trusted individuals but on a global, digital scale.
What do you think?
Wow, thank you so much! I came across the Model Context Protocol framework but didn't take the time to explore it in depth.
I was considering creating a data cooperative - democratically owned and governed by its members. To ensure sustainability, revenue could come from AI companies and other stakeholders paying for data access, much like how news publishers are compensated today. What do you think?