Research answer
What AppTrendKit can say about Hole.io today
Hole.io 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 intelligence
Observed trajectory and estimates
Showing the strongest available persisted window (7D). Store ranks are observations. App-wide 30D estimates use the same coverage-aware run-rate basis as Explore when available; the underlying partial-period modeled total remains visible below each projection.
Estimated downloads · 7D
UnavailableNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed 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 rows show modeled totals for their observed portion of the selected period; they are not directly additive to an app-wide projected run rate. The latest evidence timestamp is shown per storefront.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 2.51.6
- Released
- Jun 24, 2018
- Last updated
- Sep 3, 2026
- Content rating
- 4+
- Default storefront
- HK
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
Welcome to Hole.io, the wildly satisfying eat-the-world game played by millions! Drop into busy New York, a creaky pirate cove, or a glowing sci-fi metropolis - and swallow it whole. Cars, lampposts, hot dogs and even giant skyscrapers! Whether you've got five minutes while watching your favorite show or an hour to unwind before bed, just tap, glide, and watch the city crumble into a black hole. No pressure, no stress - just the pure, oddly relaxing joy of eating everything in sight. EAT EVERYTHING Start tiny, barely big enough to swallow a trash can. Grow huge, big enough to gulp down skyscrapers in one bite. The bigger you get, the louder the crunch. Pure satisfaction. THE PERFECT BREAK Easy to learn, instantly satisfying. Play in short bursts: morning coffee, lunch break, evening unwind. A relaxing, oddly soothing game for casual players. WHY YOU'LL LOVE IT - Wonderfully simple controls - just swipe and glide. - Insanely satisfying gameplay - swallow, smash, and clear the map. - Beautiful, vibrant 3D worlds packed with detail. - Free to play, easy to love. Ready to swallow the world? Download Hole.io now and find out why millions of players can't put it down. Time to feed the black hole. Your privacy is crucial to us. Review our comprehensive privacy policy at https://www.voodoo.io/privacy TERMS OF SERVICE: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:43 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 observation: Sep 7, 2026, 10:43 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology





