Getgud.io

Getgud.io is a server-side SaaS platform for game session replay and player behavior analysis. Inspect matches, detect issues, and review gameplay context.

AI Analytics Assistant Game Tools

Visit Website

Overview

Getgud.io is a server-side SaaS platform for replaying game sessions and analyzing player behavior. It reconstructs matches from streamed game data so teams can understand what actually happened during play, from movement and combat to events, decisions, and outcomes.

The product is built for game studios that need visibility across trust and safety, QA, design, and live operations. It is positioned to help teams detect cheating, toxicity, bugs, balance issues, and other gameplay problems, while also supporting replay-based investigation and match analysis across single-player and multiplayer games.

Core capabilities

Session replay with full context

Replay sessions with players, events, and timelines reconstructed so teams can inspect what happened in a match instead of inferring it from logs alone.

Gameplay visualization

Use maps, movement, and heatmaps to understand where players go and how they interact with the game space.

Moderation and anti-cheat workflows

Detect cheating, toxicity, griefing, and exploits so trust and safety teams can review problematic behavior with match context.

Debugging and QA investigation

Investigate bugs, edge cases, and player decisions frame by frame to reproduce issues and shorten debugging cycles.

Structured match data capture

Map core gameplay actions such as position, spawn, death, attack, hit, and heal, and stream high-frequency player data such as position and orientation per tick.

Selective data control

Control which matches are streamed, analyzed, and stored using filters for maps, modes, players, reports, schedules, and other attributes.

Where it fits

Moderation and player protection
Trust and safety teams can review cheating, toxicity, griefing, AFK behavior, and intentional feeding with full match context before taking action.
Bug reproduction and QA
QA and engineering teams can replay exact sessions to reproduce bugs, inspect edge cases, and understand the sequence of events that led to an issue.
Balance and design analysis
Game design teams can analyze movement, combat, and player behavior to see how players use weapons, characters, maps, and mechanics.
Live game monitoring
LiveOps and product teams can monitor player behavior and gameplay activity to spot issues early and understand retention-related behavior over time.
Development and pre-launch testing
Studios can use the platform during development and pre-launch testing to validate mechanics, catch exploits, and identify design or performance issues earlier.

Pros and Cons

Pros

Reconstructs sessions with players, events, and timelines for replay-based analysis.
Supports both moderation and gameplay investigation use cases in one platform.
Works across single-player and multiplayer games on PC, console, mobile, and web.
Lets teams control what data is streamed, analyzed, and stored.
Pricing page says teams can start for free and that the product is a SaaS, server-side solution.

Cons

The source does not publish exact pricing or plan limits.
The source does not provide detailed setup documentation or a list of third-party integrations.

FAQ

What does Getgud.io do?

Getgud.io is a server-side SaaS platform that streams match data from your game, reconstructs sessions, and lets teams inspect player behavior, events, and timelines.

What kinds of games can it support?

The source says it can support single-player and multiplayer games, and works across PC, console, mobile, and web for 2D and 3D games.

How does data get into the platform?

The pricing page says data can be sent via SDK or a game file parser, but the source does not provide setup steps or supported integrations beyond that.

Who is Getgud.io built for?

It is positioned for trust and safety, QA and engineering, game design and balance, and live operations or product teams.

Does the pricing page list exact prices?

The source indicates teams can filter what to stream, analyze, and store, but it does not publish plan limits or pricing amounts.