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Intend System Demo
Flow-state via subconscious mouse control. Aim Trainer.
Intend System uses subconscious closed-loop motor control ("auto-exist" input mechanics) to eliminate conscious overthinking and hand tension. By running through specialized click tasks, it offloads pointer precision to the subconscious mind—triggering a sustained flow-state and heightened focus within a 15-to-23-minute window of using the app.
As an engineer, I spent a lot of time analyzing motor execution, hand tension, and focus degradation during continuous mouse work and gaming. I realized that conscious micro-adjustments cause fatigue and pull you out of focus. To solve this, I developed a technique called "auto-exist" to minimize conscious intervention during mouse usage.
I built Intend System to test whether pointer movement could become completely subconscious right from the start. It worked—the core click task is driven by the subconscious from the very beginning, making the movement feel almost automated. The best part is that you feel the game is being auto-played by the app.
Here is how the mechanics work:
Closed-Loop Control: The "auto-exist" method which I teach in the software functions like a closed-loop control system with continuous destination feedback. The pointer constantly tries to "exist" at the target, offloading movement execution entirely to the subconscious mind. This makes the pointer movement subconscious. The second part which is subconscious is the target selection. This is achieved by having multiple options in the click task at all times. This makes the subconscious choose the next target as well. By automating these two things, the game feels like it is being auto-played by the app (because conscious effort to move the mouse has been removed).
Optimal Flow-State Matching: Through dynamic speed adjustments (driven by your subconscious mind setting the click rate) in the click task, challenge matches skill—the click rate continuously matches your subconscious skill level across ~3,000 targets. This is what helps to enter flow-state.
Strain Reduction: Combined with raw input control (pointer acceleration/enhance pointer precision turned off), this reliably triggers a deep flow-state in roughly 15 to 23 minutes while dramatically lowering hand and forearm strain.
Early Validation: The protocol has already been tested across 5 users with consistently positive feedback—specifically around rapid flow-state induction, motor fatigue reduction, improvement in aim, and a distinct euphoric surge (suggestive of flow-induced dopamine release, though not yet clinically measured).
I released a free demo app on Steam to let people test the protocol for themselves. The demo version has a session limit, but running two sessions back-to-back hits the ~15–23 minute threshold required to trigger this flow-state. There are two aim tests, one before the core task and one after to show proof for improved aim during flow-state. Because this process removes conscious mind interference (Transient Hypofrontality), the resulting flow-state carries over to other tasks—such as keyboard work or similar motor activities. The more you use the tool, the more aim-skilled you become, making it progressively easier to enter a flow-state on demand.
About Intend System Demo on Product Hunt
“Flow-state via subconscious mouse control. Aim Trainer.”
Intend System Demo was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #245 on the daily leaderboard. Intend System uses subconscious closed-loop motor control ("auto-exist" input mechanics) to eliminate conscious overthinking and hand tension. By running through specialized click tasks, it offloads pointer precision to the subconscious mind—triggering a sustained flow-state and heightened focus within a 15-to-23-minute window of using the app.
On the analytics side, Intend System Demo competes within PC, Productivity and Biohacking — topics that collectively have 685.6k followers on Product Hunt. The dashboard above tracks how Intend System Demo performed against the three products that launched closest to it on the same day.
Who hunted Intend System Demo?
Intend System Demo was hunted by Rejab Yousaf. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Intend System Demo including community comment highlights and product details, visit the product overview.
Rejab Yousaf
Hey Product Hunt,
As an engineer, I spent a lot of time analyzing motor execution, hand tension, and focus degradation during continuous mouse work and gaming. I realized that conscious micro-adjustments cause fatigue and pull you out of focus. To solve this, I developed a technique called "auto-exist" to minimize conscious intervention during mouse usage.
I built Intend System to test whether pointer movement could become completely subconscious right from the start. It worked—the core click task is driven by the subconscious from the very beginning, making the movement feel almost automated. The best part is that you feel the game is being auto-played by the app.
Here is how the mechanics work:
Closed-Loop Control: The "auto-exist" method which I teach in the software functions like a closed-loop control system with continuous destination feedback. The pointer constantly tries to "exist" at the target, offloading movement execution entirely to the subconscious mind. This makes the pointer movement subconscious. The second part which is subconscious is the target selection. This is achieved by having multiple options in the click task at all times. This makes the subconscious choose the next target as well. By automating these two things, the game feels like it is being auto-played by the app (because conscious effort to move the mouse has been removed).
Optimal Flow-State Matching: Through dynamic speed adjustments (driven by your subconscious mind setting the click rate) in the click task, challenge matches skill—the click rate continuously matches your subconscious skill level across ~3,000 targets. This is what helps to enter flow-state.
Strain Reduction: Combined with raw input control (pointer acceleration/enhance pointer precision turned off), this reliably triggers a deep flow-state in roughly 15 to 23 minutes while dramatically lowering hand and forearm strain.
Early Validation: The protocol has already been tested across 5 users with consistently positive feedback—specifically around rapid flow-state induction, motor fatigue reduction, improvement in aim, and a distinct euphoric surge (suggestive of flow-induced dopamine release, though not yet clinically measured).
I released a free demo app on Steam to let people test the protocol for themselves. The demo version has a session limit, but running two sessions back-to-back hits the ~15–23 minute threshold required to trigger this flow-state. There are two aim tests, one before the core task and one after to show proof for improved aim during flow-state. Because this process removes conscious mind interference (Transient Hypofrontality), the resulting flow-state carries over to other tasks—such as keyboard work or similar motor activities. The more you use the tool, the more aim-skilled you become, making it progressively easier to enter a flow-state on demand.