Cuff: Make Friends & Date
Research answer
What AppTrendKit can say about Cuff: Make Friends & Date today
Cuff: Make Friends & Date has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 30D
Upper limitUnder 20K
Below the top 100 in Social Networking (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $200K
Below the top 100 in Social Networking (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 13.9
- Released
- Jun 3, 2020
- Last updated
- Feb 18, 2026
- Content rating
- 17+
- Default storefront
- US
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
How Cuff Works: 1. Create your profile (real first name, 18+ age verification, interests, bio, and a profile photo). 2. Browse active profiles from the past week, sorted by most recently active. 3. Send a like to people you’d like to meet. 4. If it’s mutual, you become Matches and can message or video call each other. Cuff is a profile-based dating platform built around mutual selection and consent. You can only message or video call someone after you both match. Safety: - Profile photos are checked for safety before being shown in Discover. - You can report and unmatch at any time. Have fun meeting new people :) A subscription may be required to access certain features. Terms of Use: https://renaissanceapps.com/terms-conditions Privacy Policy: https://renaissanceapps.com/privacy-policy
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
Hoop - make new friends
Dazz
Yubo: Chat Meet & Make Friends
Twelve APP
BeReal: Photos & Friends Daily
BeReal
Friends – Pengu, Bao & Mellow
SLAY GmbH
Boo App: Dating. Friends. Chat
Boo Enterprises, Inc.
Azar: Chat, Meet Friends
Hyperconnect LLC
AI Calorie Tracker: Meal AI
Renaissance Apps LLC
Meta Platforms, Inc.
How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 27, 2026, 9:15 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 27, 2026, 9:15 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology