In 2015, when the solvers came out I was determined to find ways to use them to transform my game. They seemed to contain the key to massive win rate—and the entire community was swept into a GTO craze around the potential of this new software.
I assembled a research team of like-minded players, and we dove into GTO solutions. We studied gridwork across the entire game tree—frequently putting in sixty-plus hour weeks trying to replicate the complex strategies that the solvers suggested.
The solution seemed simple. If we could just study for a long enough time and memorize complex strategies, we would win.
We thought we were being smart. We were wrong.
What we weren’t prepared for was that the rabbit hole ran much deeper than we thought. There was no end to the complexity of playing a balanced strategy. And even worse, we began to realize that playing balanced was losing us money in real games.
The solvers were training us away from the natural exploitative talent we once had, clouding our intuition and causing us to distrust our own judgment.
We were getting worse, not better.
Within six months, I had reached a point of complete burnout. I couldn’t study. I couldn’t play. I stopped spending time with my friends—the GTO tunnel had taken every ounce of energy out of me.
I remember the morning when I woke up, not wanting to get out of bed, knowing that I had to change something.
I tried to remember what it felt like to enjoy poker and to feel confident that I was seeing growth on a daily basis.
Suddenly I realized that the only time that I really felt confident and in control of my decisions was when I was paying attention to the human element of the game. My opponents were real people with real imbalances, and GTO had convinced me to ignore that.
I set off on a new path that was open and committed to taking feedback from my environment.
As I began to use the solvers more creatively, I found ways to plot optimal solutions against the pool trends. I gained vision over the pool’s imbalances over giant samples.
Patterns were showing up everywhere. My team and I were able to go deeper into texture analysis than ever before. It was becoming clear how the human player saw the game differently than the solvers.
For the first time, I had irrefutable evidence in support of a winning exploitative strategy.
What started as raw intuition in observing pool trends had to snowball into a consistent, data-driven system. It was more incentivized than GTO, and best of all, it was simpler and more practical to implement.
All of this research culminated in February 2017 when I launched the original Night Vision pack, and our community grew to one hundred members.
Our members began to confirm what we already knew: the data was real. But there was something else going on that was even more interesting: the pools weren’t adjusting to our exploits. Our players were moving up in limits faster than ever, tackling higher stakes before their opponents knew what hit them.
A year went by like this, and by 2018 we had distilled all of our findings into a simplified postflop blueprint and reconfirmed with brand new data from recent hands that the exploits are still there.
The pools still haven’t adjusted. And we’ve used our methods to go even deeper into textural studies, finding more exploits than ever before.
And now I want to give them to you.
Below is a review from a beta tester of the pack. He is a respected member of the poker community and the most frequent poster and points leader at “RunitOnce.com”. You may recognize him by his avatar...