TBot2

TBot2: Sleep Clustering: Group Actions Like a Natural Player

Real players don't log in, do one thing, log out, wait 3 minutes, log in again, do another thing, and repeat. They log in, check multiple villages, handle several tasks, then leave for a while. TBot2's sleep clustering replicates this pattern, grouping related actions into natural activity bursts.

Free version and actively maintained
TBot2 Sleep Clustering: Group Actions Like a Natural Player feature preview
Real-time automation
Live gameplay integration

01Activity Burst Grouping

Instead of waking up for every individual event, TBot2 clusters nearby events into single activity windows. If a building completes at 2:00 PM and a farmlist is due at 2:05 PM, TBot2 handles both in one session instead of two separate wake-ups five minutes apart.

02Configurable Clustering Window

Set how aggressively events should be clustered. A wider window groups more events together for fewer, longer sessions. A narrower window keeps sessions shorter but more frequent. Find the balance that feels right for your playstyle.

03Natural Session Length

Clustered sessions have natural, variable durations. When multiple actions are grouped together, the total session time feels organic — not the precisely calculated sum of individual action durations. Random buffers and delays create believable session lengths.

04Priority-Aware Clustering

Critical events like finishing critical upgrades can override clustering rules and trigger immediate attention. Non-critical events get clustered, while urgent ones get handled promptly. The system balances safety with responsiveness.

05Works with Sleep Periods

During configured sleep hours, clustering becomes more aggressive — grouping even more events together to minimize the number of active sessions during nighttime hours. This creates the pattern of a player who wakes once or twice during the night if something important happens, rather than being constantly active.

Stop playing manually.
Start dominating.

Make your Travian automation look naturally human with intelligent activity clustering.