Research answer
What AppTrendKit can say about NLCyber today
NLCyber 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
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo 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
Country estimates are aggregated only after country-level predictions exist.
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
- 1.0.2
- Released
- Jul 13, 2026
- Last updated
- Sep 1, 2026
- Content rating
- 12+
- Default storefront
- PT
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
NLCyber brings cybersecurity news together in one clear app. Stay up to date with the latest cybersecurity articles, vulnerabilities, threat research and industry updates from trusted sources. NLCyber helps you quickly understand what an article is about with a clear TLDR summary. When you want more detail, you can open the original article directly from the app in your mobile browser. The app is built for cybersecurity professionals, founders, consultants, researchers, students and anyone who wants to keep track of what is happening in cybersecurity without switching between websites, feeds and newsletters. With NLCyber you can: • Read clear TLDR summaries of cybersecurity articles • Browse a clean and up-to-date cybersecurity news feed • Follow news about threats, vulnerabilities, AI security, cloud security, privacy and market developments • Open the original article directly in your mobile browser • Share relevant articles with your network • Sign in with Google, Apple or email • Use the app in light or dark mode NLCyber helps you stay close to the developments that matter, without having to check every source yourself. All cybersecurity news in one place.
Publisher websiteStore creative
Screenshots
Competitive set
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Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:00 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: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:00 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology




