Similarity as a place
The nature of science is to explore and discover. What better way than with a literal map. We used 100k research papers as a base for a semantic landscape.
We support traditional list search and citation networks but now with a much broader context in order to find hidden and unexpected relationships to your work.
This is not a screen shot
Topological Funding Cache
Algorithmic Liquid Resource Allocation
The Problem
Most research never reaches funding. Negative results, protocols, and code vanish — while grants waste 50% of researchers' time on paperwork.
The Solution
An absorption-based model: funders back Semantic Fields, and resources flow automatically to relevant work based on proximity and verified impact.
The Incentives
Dark research becomes fundable. Impact replaces citations. Funds propagate in real-time — not 3-year cycles. Gaming is caught by Proof of Process.