oladekola

Will do, thanks for the tip.

Would appreciate any thoughts you have on the product if you had a chance to take a look at the video!

DORY uses Neo4j to store browsing data with weighted edge relationships (semantic, behavioral, temporal) then applies stochastic block modeling for community detection and temporal-behavioral profiling.

It's an approach similar to how banks analyze transaction networks to detect fraud but works surprisingly well for teasing apart browser workflows.

I had the same frustration with finding things I knew i had seen before, Started building something at usedory.com to help and we're beta testing right now, would love to add you: https://www.loom.com/share/50a7561764db42de83c11921fe00c20b?...

Hey, I'm beta testing something that helps you find anything you've seen online using whatever you remember about it. Would love to add you to the beta, here's a quick preview of how it works: https://www.loom.com/share/50a7561764db42de83c11921fe00c20b?...

I've been working on something that takes this further and lets you search through content and then builds a cognitive context graph that proactively organizes your work into clean, repeatable flows that surface in real time based on current activity.

https://www.loom.com/share/50a7561764db42de83c11921fe00c20b?...

I'm looking for additional beta testers for DORY (Dynamic Online Recall for You).

DORY is a browser-native enterprise search tool that transforms how teams find and leverage information. DORY eliminates the frustration of sifting through endless tabs, scattered documents, and chat threads to find information you know exists somewhere.

Unlike other tools that live outside your workflow, DORY works where your team already does—directly in the browser. Our AI-powered engine leverages digital interactions to create a real-time, searchable knowledge base that delivers the right information exactly when you need it.

Here's a short video that shows how it works: https://youtu.be/kRWTVu77mMc