







Better bitmap performance with Roaring bitmaps
Bitmap indexes are commonly used in databases and search engines. By exploiting bit-level parallelism, they can significantly accelerate queries. However, they can use much memory, and thus we might prefer compressed bitmap indexes. Following Oracle's lead, bitmaps are often compressed using run-length encoding (RLE). Building on prior work, we introduce the Roaring compressed bitmap format: it uses packed arrays for compression instead of RLE. We compare it to two high-performance RLE-based bitmap encoding techniques: WAH (Word Aligned Hybrid compression scheme) and Concise (Compressed `n' Composable Integer Set). On synthetic and real data, we find that Roaring bitmaps (1) often compress significantly better (e.g., 2 times) and (2) are faster than the compressed alternatives (up to 900 times faster for intersections). Our results challenge the view that RLE-based bitmap compression is best.

An entire Social Network in 1.6GB (GraphD Part 2)
Roaring Bitmaps offer an even more efficient way to store and query an entire social graph, fitting the entire network of 5.5M users and 164M+ follows into a ~1.6GB SQLite DB on disk.
Windsurf Codemaps: Understand Code, Before You Vibe It | Cognition
Codemaps is meant to offer a shared understanding of a system between humans and AI, enabling your AI to teach you about the code you are looking at quickly and elegantly. A codemap can be generated about any system or snippet to illuminate its code paths, helping users learn and recall. Codemaps allows AI to be a partner that explains code in an accurate and consistent way, rather than generating tons of inscrutable slop.

The poster to accompany Designing Data-Intensive Applications (DDIA)
Each chapter in Designing Data-Intensive Applications is accompanied by a map. And we’ve turned those maps into a beautiful poster.
chokepoint6
Discover, analyze and download data from chokepoint6. Download in CSV, KML, Zip, GeoJSON, GeoTIFF or PNG. Find API links for GeoServices, WMS, and WFS. Analyze with charts and thematic maps. Take the next step and create StoryMaps and Web Maps.

Bluesky Map
Interactive map of 3.4 million Bluesky users, visualised by their follower pattern.

Bluesky Map
Interactive map of 3 million Bluesky users, visualised by their follower pattern.

mudcoders/awesome-mud
🖥 A curated list of bookmarks, tools, tutorials, and other cool resources for text-based game developers.
A 4-Bit Model and a 1-Bit Index
Running NVFP4 Nemotron on a CPU, then mapping every embedding-compression method at matched byte budgets. The two quantizations compose.

A Strategy and Wardley Mapping Primer
If you're doing strategic work, think in terms of evolutionary flow — and learn to draw fast-and-dirty Wardley maps.

Cloud Atlas
Interactive map of the Bluesky social graph, initially compiled by https://theo.io, turbocharged with goose powers.

A detailed primer on Roaring bitmaps explaining what they are, how they're different from traditional bitmaps, and how they work internally.
Grain photos in Micro.blog: manton.org/2026/07/23/grain-photos-in-mi…
I made a map of 3.4 million Bluesky users - see if you can find yourself! bluesky-map.theo.io I've seen some similar projects, but IMO this seems to better capture some of the fine-grained detail
Bluesky Map
bluesky-map.theo.io