Progressive Overload Tracker
If you are trying to apply progressive overload properly, memory stops being enough pretty quickly. You need clean history and a fast way to compare sessions.
Sometimes progress looks like more load. Sometimes it is more reps, better execution, or steadier output across the session. A tracker should help you see that without digging through messy logs.
Good analytics should reduce doubt. You open the app, you see what changed, and you make a better call for the next workout.
If the logging is slow, the data gets worse. That is why fast tracking and better analytics belong together. One supports the other.
Repigo can suggest an increase when your latest qualifying session meets the planned sets, reps, and weight. Review current and suggested weights before starting, choose the increases you want, and keep the existing weight for other exercises. Equipment increments and a configurable suggestion window keep the choices practical.
At minimum it should preserve exercise history, set performance, and enough context to compare similar sessions over time. The goal is to understand whether you are progressing, not just to store numbers.
You need useful analytics, not noisy analytics. Most people benefit from trends that clarify load, reps, consistency, and exercise history. Extra metrics only help if they improve the next training decision.
Yes, if the simple workflow keeps data complete and the review views are strong enough to interpret progress. Simplicity is a strength when it increases consistency instead of hiding useful information.