Brevis.
6 days old
Brevis. is #6 in Food & Drink Grossing in India and charting in 12 of 24 countries we track.
Updated 27 Sep 2026 · rankings refresh through the day
DeveloperBAYCHEL MONOKA
CategoryFood & Drink
PriceFree
Released
Rating★ 0.0 (0)
Version1.1.0
Age rating17+
First seen by us
26 Sep 2026
Rating
0.0 ★
0 ratings
Measured
Best rank now
#6
Measured
Brevis. on the App Store
App details
App ID
6812614221
Publisher
BAYCHEL MONOKA
Content rating
17+
Where Brevis.'s downloads come from Modelled
Last 30 days: organic search, browsing the store, features and paid ads.
Where it ranks now
Every top chart it appears in across 24 countries.
| Country | Charts | Rank |
|---|---|---|
| Food & DrinkGrossing | #6 | |
| Food & DrinkGrossing | #15 | |
| Food & DrinkGrossing | #37 | |
| Food & DrinkGrossing | #66 | |
| Food & DrinkGrossing | #5 | |
| Food & DrinkGrossing | #21 | |
| Food & DrinkGrossing | #33 | |
| Food & DrinkGrossing | #11 | |
| Food & DrinkGrossing | #30 | |
| Food & DrinkGrossing | #35 | |
| Food & DrinkFree | #118 | |
| Food & DrinkGrossing | #85 | |
| Food & DrinkFree | #82 | |
| Food & DrinkFree | #97 | |
| Food & DrinkFree | #143 | |
| Food & DrinkFree | #87 |
Apps near Brevis. on the chart
Food & Drink Grossing, around #6.
Ratings
App Store, worldwide.
Rating
0.0 ★
0 ratings
Measured
Ratings
0
Measured
About Brevis.
After brew after brew, Brevis lets you look back on how you made it, how it tasted, and hold on to the cups worth repeating—without relying on memory alone. Note the bean, grind, kettle heat, and a short tasting line, then pin a keeper when the cup is worth repeating. Browse your brews like a Sunday magazine, keep each bean on a kraft Shelf sleeve, score aroma, sweet, acid, body, and finish with five petals, and use Replay’s steep clock when you want the next pot timed and sealed into Bloom.
Latest updates
1.1.0
1.Optimize memory‑cache mechanism for configuration data to reduce repeated disk‑reading frequency
2.Adjust adaptive animation frame‑rate strategy to cut rendering power consumption under heavy‑load scenarios