Serious bankroll software for the expensive part of live poker
Import the ledger you trust. Protect the next decision.
PokerBankroll.ai turns your real tracker history into evidence-backed reads, live guardrails, and trusted observer rails that help you leave earlier when the session starts drifting.
One product loop
Import trusted history, catch drift faster, escalate when it matters.
The calm version of this product is one canonical ledger, one coaching layer, and one observer rail. It should feel more useful than a spreadsheet and more believable than generic AI chatter.
Before the session
Import the history you already trust
Move over without a fake clean restart, preserve raw rows, and keep one canonical ledger.
During the session
Use blunt guardrails while it still matters
Prime, check in, and get historical reminders when the same expensive pattern starts to repeat.
When discipline slips
Escalate to a trusted friend or coach
Let monitors see the dangerous part clearly, with context on why it matters and what to say.
Product preview
One cleaner operating loop
Import real history, surface the real pattern, and use live intervention plus trusted monitors before the graph turns into a post-mortem.
Import trust
6 raw rows preserved before normalization
Raw tracker rows were preserved before normalization, so the import can be audited or reprocessed without reopening the source sheet.
Live guardrails
You are close enough to the line that drift matters.
This session is no longer being decided by lineup quality alone. You are near your financial and emotional line, and the note reads more like recovery thinking than clear game selection.
Observer rail
Joel: session entered the danger band
Longer, emotionally loaded sessions are the part of the sample where decision quality starts to decay fastest.
Focused live view
Encore Boston Harbor | 5/10 NLH
Current result
-$1,180
Hours and rebuys
5.4h | 2 rebuys
Hard stop
$1,500 | 6h cap
Joel and one trusted friend can see live-session pressure points and alert thresholds.
Joel: session entered the danger band
check inLonger, emotionally loaded sessions are the part of the sample where decision quality starts to decay fastest.
Ask whether he would still sit in this exact game fresh, then push for a rack-up if the answer is no.
6 days ago
Mobile-ready session surface
The live coach and observer loop already work as a phone-first web experience.
Trusted people in the loop
Coaches, friends, or backers should know what crossed the line and what intervention to try.
iPhone and Android extensions
Table scanner, player notes, group accountability, and faster in-room capture should come next.
Why it matters
Import trust first
A serious poker product starts by being easier to migrate into than it is to stay on the old tracker.
- Poker Bankroll Tracker export, CSV, and paste lanes
- Raw source rows preserved before normalization
- One bankroll ledger the rest of the app can trust
Why it matters
Coach the live session
The real product is the moment you catch drift earlier, not the chart you admire after the money is gone.
- Historical priors, stop rules, and watchwords
- Evidence-backed intervention copy, not generic AI comfort
- Built around leave checks, not just result tracking
Why it matters
Make accountability usable
Monitoring only matters if it is specific enough for another person to help before the damage compounds.
- Observer rails with escalation and intervention language
- Thresholds for hours, losses, rebuys, and pressure
- A real shared surface for friends, coaches, or backers
Launch posture
Keep the ledger. Tighten the guardrails. Build the native layer next.
The web product should already be good enough to import real history, surface real leaks, and power live intervention. iPhone and Android should extend that core, not distract from it.
The web app is already built to work cleanly on a phone during a live session.
The bankroll core, analytics, coach, and observer loop should be right before the surface expands.
iPhone and Android should extend this with table-side capture, player notes, and group accountability.