Ashara AI
An AI platform for post-session analysis, study workflows, community and future tools built around growth after play.
Not just a tracker: database review, AI analysis, room integrations, knowledge tools and a future forum layer inside one study-oriented environment.



GG Poker
GG Poker support is currently focused on post-session analysis only. Built for hand import, review, EV tracking, graphs, replay and AI-assisted study after the session.



PokerStars
Planned support for hand import, session reports, filters, graphs, replayer and database analysis where it is allowed by room rules. AI stays post-session only.



888poker
Planned support for import, reports, graphs, replayer and post-session database review.



PokerBros
Planned support for compatible club-based hand histories, reports, replay and AI review after play.



PPPoker
Planned support for import-based analysis, reports, graphs, replayer, session review and AI only after the session.



WPN
Planned support for cash and tournament analysis, session reports, graphs, filters, replayer and AI reports after play.
AsharaAI
AsharaAI is an AI-first ecosystem for post-session poker analysis. Tracker workflows, hand review, AI chat, graphs, room integrations and future study tools are designed as one connected product.
The workflow stays clear: import hands, review graphs and key spots, find leaks and get plain-language explanations instead of another wall of raw stats.
Graphs, hand review, session filters and a readable database overview already form the foundation of the product.
AI chat, hand review and stat explanations turn raw numbers into understandable next steps.
The current focus is a correct post-session workflow around GG Poker: import, EV, rake / no-rake views and review.
From that base, the platform can expand into more room integrations, knowledge tools and the community layer.
Most poker tools still feel expensive, opaque and built for people who already know what every stat means.
The market asks beginners to pay more, learn faster and decode interfaces that never explain themselves.
Market pain
Core tracking and analysis often feels priced like elite software before a new player even understands the workflow.
A beginner opens a tracker, sees dozens of stats and gets almost no guidance on what matters first.
Import, rake modes and post-session review still create pain instead of a clean feedback loop.
AsharaAI changes the workflow
AI explains what the numbers mean, why they matter and where to start.
Basic study and reporting should not cost premium money just to get started.
From hand review to leak discovery, the workflow is structured around improvement after play.
A tracker foundation with an AI analysis layer on top.
AI Hand Analysis
Break down one hand at a time with context, plain-language reasoning and follow-up questions.
Leak Finder
Surface recurring weaknesses across positions, nodes and player pool situations instead of hunting manually.
Dynamic Reports
Generate reports from prompts, filters and study goals instead of memorizing report builders.
GG Poker Analysis
Support the current core use case with import, graphing and post-session study around GG Poker data.
Hand Replayer
Review key hands with clean streets, actions, board context and session metadata in one frame.
Post Session Study Only
No live helper, no real-time assistance and no product positioning that blurs that line.
AI is not a gimmick here. It becomes the interface for understanding your game.
Ask for a single hand review, a report, a stat explanation, a leak summary or a training plan. The product responds like an analyst sitting on top of your tracker and database.
Built around GG Poker post-session analysis right now, with room to grow into a wider platform later.
The first product surface is optimized for the pain players feel after the session: import, filtering, graphs, replayer review and AI explanations.

Real analysis screens built to explain the game, not just display more numbers.
A visual hand matrix makes it easy to spot which starting hands and ranges are generating value and which ones are dragging the result down. It is a fast way to review preflop decisions, range quality and the overall shape of your real outcomes.
The interface lets you narrow the data by time period, stake, table size, position and hand result without losing readability. It stays comfortable to scroll, easy to navigate and clean to work with across both dark and light themes.
The graph gives a quick read on volume, momentum and how the final result is being built. The blue line shows showdown winnings, the red line tracks non-showdown results, the green line is the current total result and the orange line shows EV. That makes it easier to compare real outcomes with expectation and see where the overall result is coming from.
Make serious poker analysis understandable and accessible.
AsharaAI is built to remove the barrier of expensive, overloaded software, give players a clear entry into analysis and explain what the numbers actually mean.
The basic layer should stay accessible: simple graphs, hand review, core filters and session overviews.
Players need more than numbers. The platform should explain what is happening, where the leaks are and why a stat or line matters.
Advanced AI features and deeper analysis belong in higher layers only when the player actually needs them.
The product stays focused on post-session analysis and room-safe workflows, without live help or grey-zone behavior.
From the current product to the full AsharaAI platform.
The roadmap expands from the current GG Poker first layer into room integrations, the AI layer and the wider AsharaAI platform.
AsharaAI is designed to grow beyond a tracker into a full learning platform.
The homepage already leaves space for community surfaces, even though the actual forum and content system are not built yet.
Personal progress logs, study streaks and structured learning notes.
Share reviewed hands, compare lines and keep the conversation tied to data.
Long-form content, creator tools and future educational surfaces.
A searchable layer for stat explanations, workflows and study frameworks.
A larger home for discussion, learning and product-led collaboration.
Reserved as a direction, not implemented yet, with the architecture already anticipating it.
Join the waitlist and shape the first versions of the product.
This is not just a signup box. It is a place to tell us what hurts in current software and what you want AsharaAI to solve first.

