LightBlue®
Research answer
What AppTrendKit can say about LightBlue® today
LightBlue® 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 · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
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
- 5.4.0
- Released
- Sep 8, 2012
- Last updated
- Sep 1, 2026
- Content rating
- —
- Default storefront
- NL
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
LightBlue® by Punch Through® Your ultimate BLE debugging and development toolkit. Trusted by BLE developers and engineers since 2012 to scan, inspect, and troubleshoot Bluetooth Low Energy devices with precision. Scan For Peripherals Discover, connect, and interact with nearby BLE devices. Quickly view advertising peripherals, sort by signal strength (RSSI), and connect with a single tap. Once connected, explore the device's advertisement data, services, and characteristics. Isolate SDK Issues Simplify debugging by pinpointing issues in your BLE SDKs. LightBlue lets you isolate your app's business logic and focus on core tasks like connecting, scanning, reading, writing, and receiving notifications, built on years of BLE development experience and platform best practices. Mimic Your Devices Prototype your application by creating virtual BLE peripherals. Build a profile from scratch or clone an advertising peripheral to mimic your product's functionality, even before your own firmware is ready. Key features: - Scan and discover BLE peripherals nearby - Browse services and characteristics in detail - Read, write, and subscribe to notifications and indications - Send data from notifications to AWS IoT or Adafruit IO via Cloud Connect - Write to characteristics in Hex, Octal, Binary, Decimal, or ASCII - Clone peripheral profiles or build your own from scratch - Advertise as a custom peripheral to simulate your device - Thoroughly log and share BLE events - Available on iPhone, iPad, Mac, and Android LightBlue started in 2012 as an internal tool. Punch Through built it to test and debug BLE devices while working on client projects. It worked well, so we shared it with the community. We've kept it free ever since. Today, LightBlue is used by solo developers and engineering teams alike, including inside some of the world's most respected tech and device companies.
Publisher websiteStore creative
Screenshots
No screenshots available.
Competitive set
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 7, 2026, 8:46 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 7, 2026, 8:46 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology