Algorithm = weighted scorecard. The site blends live behaviors into a placement score ; showing up is necessary but not sufficient. Think in signals , not superstition.
Tokens per hour
Earning velocity is framed as the dominant input: steady tips, goals, and spend in a window read as active, retentive rooms—so the system has reason to surface you more often.
Public ratings as trust
Stars are not a full substitute for income, but they act as a confidence layer : when two rooms look similar on money, better satisfaction metricswin the tie . Strong ratings also support profile click-through , which feeds more entries and more chances to convert.
Private ratings weigh heavier
Because privates are higher-stakes spend, private feedback can steer recommendations to big spenders and amplify positive loops—happy whales return, which props up the same tokens-per-hour core the ranking system cares about.
Use the model, do not rage at it
Schedule for your peaks, structure shows that retain and convert , protect experience quality, and treat ratings as part of the business—not a personal insult when they dip.
Continue the guided path
Return to All Lessons for the next step in the sequence. You can still open a unit hub anytime if you want to deep-dive a single topic.
