Dotloom - Next Generation Point-cloud Platform
summary
Dotloom is a peer-to-peer distribution and processing platform for very large point-cloud datasets that claims faster downloads by pulling from multiple peers and stream-processing as data arrives. A command-line tool and an Electron + React desktop prototype exist, with an example archive of 1.9 GB / 200 files and selective sync so clients avoid downloading everything. Indexing bots read file headers remotely to build searchable indexes; obstacles include NAT/port issues, community acceptance of peer-to-peer dat protocol, and heavy Node.js/NPM fragmentation.
AI-written summary · about
chapters (6)
- 0:00Introduction and motivation
- 1:55Dotloom project overview
- 4:01Key features and use cases
- 8:59Technical challenges and solutions
- 12:41Development status and obstacles
- 15:18Q&A and closing remarks
related talks
19mPowerLoom Announcement and Scaling Trust
35mLoom and Graphs in Clojure
26mOne Pipeline to Rule Them All: Unifying Multimodal and AI Data Processing with Daft
37mVisualizing Large Datasets with JavaScript Using deck.gl
40mArchitectures for Exploring Your Personal Data
40mVisualizing Large Datasets with JavaScript Using Deck.gl
37mLoom and Functional Graphs in Clojure
48mOpenStreetMap for the Web