The "dead hours" problem
Almost every poker club faces the same issue: between 2:00 and 8:00 AM (in the primary audience's time zone), online activity drops 3–5x. Tables collapse, active players migrate to other platforms, and open seats sit empty.
For a club, this isn't just "missed rake" — it's a systemic loss. Players who showed up at night and didn't find live tables are highly likely to not come back. That's a direct hit to retention and LTV.
Why manual bots don't solve it
The classic approach is to hire "solo" operators who manually keep tables alive during night hours. But this approach has hard limits:
- Instability: operators get tired, distracted, and can't sustain multi-hour sessions at quality.
- Expensive: at the scale of a club network, the operator payroll becomes a significant cost center.
- Doesn't scale: adding 10 tables = hiring 10 people.
- No analytics: it's impossible to accurately measure an individual operator's contribution to rake growth.
How AI infrastructure works
PokerNet solves the problem differently: instead of people — managed AI infrastructure that maintains table activity according to defined scenarios. Key differences:
- 24/7 operation without breaks.
- Adaptation to the specific club: formats (NLH, PLO, Short Deck), limits, schedule.
- Unified monitoring panel with all metrics.
- Scaling to club networks via Partner Mode.
On average, clubs that connect PokerNet see off-peak rake growth of 15–25% within the first month of operation.
Where to start
The first step is a pilot deployment over 1–2 weeks. During this period, scenarios are configured for the specific club's formats, calibration is performed, and baseline metrics are captured for comparison after connection.
Important: a pilot doesn't require separate infrastructure on the club's side. PokerNet is a ready B2B solution — the club only needs to agree on formats, limits, and schedule.