GET YOUR BEARINGS
Plan your next Upload Labs session
Our independent guide breaks down each major pillar of Upload Labs, offering observations and comparative advice to help you refine your approach. By examining node construction, research priorities, hacking tactics, code contributions, and AI growth, you can align your strategies with the game’s core systems for smoother progression.
01 / THE GUIDE
Node Flow Mapping
Sketch a simple diagram of your current node network. Compare the visual flow to the in‑game windows to spot redundant paths or bottlenecks, then adjust connections for clearer resource movement.
- Start with simple input‑output pairs to understand basic flow before adding complexity.
- Label nodes mentally to track how resources travel through your network.
02 / THE GUIDE
Research Impact Review
List the nodes you unlocked this session and note any immediate performance changes. Contrast these with earlier sessions to gauge which research branches yield the greatest efficiency gains.
- Prioritise research that adds nodes improving resource generation.
- Balance unlocking milestones with immediate system needs.
03 / THE GUIDE
Hack Cost‑Benefit Analysis
Record the resources spent on a recent hack and the intel gained. Weigh this against the subsequent resource influx to determine if the breach was worthwhile.
- Target hacks that promise the most resource gain for minimal effort.
- Use intel from hacks to inform which research paths to pursue.
04 / THE GUIDE
Code Optimization Audit
Identify a custom code snippet you added. Compare system metrics before and after its implementation to assess its real impact on automation and throughput.
- Focus on code that automates repetitive node actions.
- Iterate small changes to see immediate performance impacts.
05 / THE GUIDE
AI Feeding Strategy
Track the types of files you feed the AI over several cycles. Observe income trends to see which file categories accelerate the AI’s progression toward higher output.
- Supply diverse file types to accelerate AI learning.
- Monitor income spikes as indicators of AI progress.
