A fixed grid, and overflow placement that never breaks the width.
Matrix plan software for the forced-width, forced-depth structure, 3×3, 5×5, or whatever grid your plan defines, with overflow placement, re-entry positions, and cycle bonuses computed exactly against a fixed shape.
Same vetting bar either way, whether we staff the project or fill the seat. See the rubric
Forced width and depth, enforced at the data layer.
Deterministic placement when a distributor's grid is full.
New positions on matrix completion, placed correctly.
Automated, auditable matrix cycle-bonus runs.
What we build for matrix plans.
A genealogy structure locked to your grid's exact dimensions (3×3, 5×5, or another shape), where a position can never exceed its width limit at any level. It is checked at the write layer, so a race condition at signup cannot overfill a row.
When a distributor's own grid is full, new signups place into the matrix by your plan's overflow rule: spillover to upline, next-available-position search, or strict queue order. It is deterministic and logged, so support can always answer 'why is this person here.'
When a grid fills completely, the plan typically cycles the distributor into a new matrix position or pays a completion bonus. We build the completion detection, re-entry placement, and bonus trigger as one tested unit, so a completed matrix never double-pays or silently drops.
Distributors see their exact matrix, filled positions, open slots, and progress toward completion, rendered as the actual grid shape, not a generic tree view that doesn't match how the plan works.
Current tools, not last year's.
The nearest thing we've actually shipped.
Real-time dispatch platform
A real-time platform processing 12,000 transactions a day without a single lost or duplicated record, the exact discipline a matrix engine needs to avoid double-paying a completed grid.
On camera, in their own words.
Why he brought his development work to Code Elevator.
Scoped fast. Shipped on a real timeline.
Building something adjacent?
Answered before you ask.
Whatever your plan defines, 3×3 and 5×5 are the most common, but the grid dimensions are a configuration, not a rebuild. We map your exact width and depth during the plan-mapping phase.
This is exactly the kind of race condition we design against from the start, placement writes are serialized at the database layer so a grid can never end up overfilled, even under concurrent signups.
Depends on your plan, some re-enter the distributor into a fresh matrix at the top, others pay a flat completion bonus with no re-entry. We build whichever rule your comp plan specifies, tested so a completion never fires twice for the same grid.
Changing dimensions after distributors already have positions in the old shape is a real migration, not a config flip. We'll scope that honestly rather than pretend it's a toggle.
Every way out of this build is already written down.
Code, prompts, models and pipelines: all work-product IP assigns to you by contract from day one, not on final payment.
Nothing is locked to us or to a proprietary platform you can't leave. You get the repository, the documentation, and full access.
Bring us your matrix. We'll tell you what's realistic.
We'll map your grid dimensions and overflow rule precisely, then show you the audit trail behind every completion and payout.
We reply within an hour during our working day in India and the UAE.