Growth & updates

MARPLA growth radar essentials

Use the radar to find games whose public observations deserve review, not to predict guaranteed winners. The signal combines multiple indicators and explicit data-quality penalties; its 0–100 value orders attention. Open the candidate card to see the component evidence, coverage, risks, observed peak, stage history, and public creator context.

MARPLA team · Published 2026-09-18 · 2 min read

Action essentials

The full topicHow to find growing Roblox games: signals and a candidate card Knowledge sectionGrowth & updates →

Original conceptual diagram. Not a product interface or measured results.

Move from signal to decision card

Filter by age, genre, scale, Visits ceiling, or the observed 24-hour CCU-to-Visits ratio. Confirm that recent growth has adequate coverage and is not a short spike. Review absolute change, 24-hour and 7-day context, favorites, votes, update timing, and the direct game experience.

Signed-in users can save a private stage, contacts, notes, and next-action date. The useful output is a queue with an owner, review date, and decision rule. Public momentum can support contact or further diligence; it cannot establish revenue, retention, ownership of assets, or a fair acquisition price.

Review the score version with the card. A future model can reorder candidates without changing the public observations that supported the original decision.

Filter for a concrete thesis.
Open the score evidence and risks.
Play-test and seek a second signal.
Save the next action or pass with a reason.

Primary sources

Put this into practice in MARPLA

MARPLA tool diagram: Choose a promising game

Set radar filters and inspect the evidence behind candidate signals. Confirm the movement with saved history, then retain promising games for monitoring.

Open the tool →