Findit: Deal,Buy & Sell
Research answer
What AppTrendKit can say about Findit: Deal,Buy & Sell today
Findit: Deal,Buy & Sell 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 50K
Below the top 100 in Shopping (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 $10K
Below the top 100 in Shopping (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 methodApp Store search
Keywords Findit: Deal,Buy & Sell ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| basaar - buy and sell preloved | #15 | new | 48 | 31 |
| buy and sell | #22 | new | 62 | 57 |
Storefront 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
- 2.3.2
- Released
- Oct 24, 2024
- Last updated
- Mar 9, 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
Findit is a vibrant and innovative online marketplace tailored specifically for the Indonesian audience. Designed to bridge the gap between buyers and sellers nationwide, Findit facilitates a seamless, efficient, and secure platform for conducting a wide range of transactions. From personal items, electronics, and fashion to home goods and services, Findit caters to a diverse array of needs, making it a one-stop-shop for Indonesian consumers and businesses alike.
Store creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
OfferUp Buy & Sell Marketplace
OfferUp Inc.
Depop - Buy & Sell Clothes
Depop Limited
Poshmark: Shop & Sell Fashion
Poshmark, Inc.
Whatnot: Shop, Sell, Connect
Whatnot Inc.
Zip - Buy Now, Pay Later
Zip Co US, Inc.
Walmart: Shopping & Savings
Walmart
Amazon Shopping
AMZN Mobile LLC
Fetch: Receipts for Gift Cards
Fetch Rewards, LLC
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