The Literature Abyss
A new field can mean 40,000 papers. Months of chasing citations later, you still can't tell the foundational work from whatever everyone else happened to cite.
We onboard research groups one at a time. Cohort 1 is forming now — join our Discord to follow along.
10M+
Researchers each rebuilding the same map from scratch
23%
Of work time spent re-reading what others already mapped
$150B
Spent annually on "catching up"
2 yrs
For a new lab member to inherit what came before
That process hasn’t changed in 50 years. It is slow, solitary, and painful. And it looks like this.
A new field can mean 40,000 papers. Months of chasing citations later, you still can't tell the foundational work from whatever everyone else happened to cite.
Three people in your department reviewed the same literature last year. Nobody knew. The models they built stay locked in their heads — and leave when they do.
A new postdoc spends two years just catching up on the field — rebuilding a mental model that already lives in the departing postdoc's head.
Dive into articles, updates, and perspectives on building a more connected research ecosystem.
View all articles
WoRMS: The Taxonomic Backbone of Marine Science
A researcher's guide to the World Register of Marine Species (WoRMS): what it is, why OBIS and GBIF depend on it, its real limits, and how to use it well.
23 Jul, 2026 • 11 min read
How to Read a Knowledge Graph: A Visual Guide for Non-Technical Scientists
A plain-language guide to reading knowledge-graph figures: what nodes, edges, direction, and provenance really claim — and what to check before you trust one.
22 Jul, 2026 • 10 min read
DGL (Deep Graph Library): What It Is, What It Enables, and Where Its Limits Lie
A technical peer's review of DGL (Deep Graph Library): its graph-first design, the DGL-KE and DGL-LifeSci ecosystem, and where it hits real limits at scale.
16 Jul, 2026 • 14 min read
GBIF: What It Is, What It Has Built, and What Still Needs Fixing
Explore an in-depth review of what GBIF is, its data infrastructure, scientific impact, AI integration and limitations that researchers must understand before using it.
13 Jul, 2026 • 11 min read
This is not a newsletter signup. It is an application. We read every one. We invite in cohorts of 50, prioritising labs that want to map their own work first and contribute to their public knowledge graph — not just use a product.
We'll review your application within 7 days. Share your link to move up — every accepted referral bumps your position.
Looks like you've already applied. Here's your spot and your referral link to share.
50.4% filled · 248 seats remain
After applying, you’ll receive a personal referral link. Each colleague you refer moves you higher in the queue.