This is a static snapshot of Neo. No new crawls can be created but some example crawls can be explored

Explore your network of friends on
Steam

Generate an indepth analysis of your friend network on Steam to see exactly what kind of friends you have or find the shortest distance between two steam users


2,783,541

individual users crawled

329

crawls generated

Recently Crawled Users

Kettama

🇮🇪

12s ago

Riot Code

🇮🇪

13s ago

FJAAK

🇩🇪

13s ago

Partiboi69

🇦🇺

14s ago

Floorplan

🇺🇸

15s ago

Tommy Holohan

🇮🇪

15s ago

X CLUB

🇦🇺

17s ago

Get started


Select a target

Choose crawling level
Level: 2
Crawl the given user(s) and all of their immediate friends

FAQ


What is this project?

Neo is an NUIG Computer Science and Information Technology final year project built to analyse friend networks on the Steam platform

How do I get a steamID64 for a Steam account?

Each Steam account has a ID associated with it thats used behind the scenes to uniquely identify a given account. The easiest way to get the associated steamID64 for a given account is through steamIDFinder

What is Neo built with?

Microservices

  • Frontend: Go with vanilla Javascript and Bootstrap
  • Crawler: Go
  • Datastore: Go

Infrastructure

  • Messaging: RabbitMQ
  • Data Persistence: MongoDB and PostgreSQL
  • Logging: ELK stack (Elasticsearch, Logstash and Kibana)
  • Metrics: Grafan and InfluxDB
  • Uptime Monitoring: Uptime Kuma

Is this project FOSS?

Yes, Neo is is licensed under MIT and the source code is available on Github

Where can I read about the internals of the project?

My final year project report details everything from planning, implementation to evaluation for all aspects of the project

Recently Generated Graphs


Username

Crawl length

Level

Time Started

🇨🇳
XC3N
159 users
2
5m ago
🇨🇦
.TV | VINECARS
148 users
2
5m ago
🇲🇹
AGS | Refleax
563 users
2
17m ago
🇹🇷
Lifrayt
318 users
2
23m ago
🇵🇭
Retro Fighter
205 users
2
29m ago

Recent Shortest Distance Graphs


🇨🇳 XC3N
🇨🇦 .TV | VINECARS

310 users