Abdullah Mansour Launches Kansel Spam Call Blocking App
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Abdullah Mansour Launches Kansel Spam Call Blocking App

First beta available on iOS and Android with user reporting and a 3,500-number spam list.

9/28/2026
•Ghita Khalfaoui
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Egyptian entrepreneur Abdullah Mansour has introduced Kansel, a new mobile application designed to prevent unwanted calls from reaching users, rather than merely identifying suspicious numbers after they ring. The first beta version focuses on blocking calls related to real estate promotions, marketing campaigns, and fraud attempts while allowing users to report the numbers behind these disturbances. By combining call prevention with community reporting, the application aims to build a stronger database and prepare for future artificial intelligence features.


A Rapid Response to Widespread Frustration

Development of Kansel began after conversations on social media highlighted the need for a tool that could stop nuisance calls from ringing altogether. Abdullah Mansour saw a post by Mohamed Ezzat discussing the core concept, followed by early details and a preliminary list of about 3,500 real estate numbers shared by Omar El Monayar. Mansour combined those insights with his own ideas and delivered a working version within roughly one week.

From Caller Identification to Call Prevention

Unlike traditional caller identification tools that only warn users when a suspicious number calls, Kansel prevents those calls from ringing in the first place. The application currently relies on an initial database of around 3,500 real estate numbers that are known sources of disturbance and unwanted interruptions. Activation is designed to be straightforward, allowing users to register and enable the service directly from inside the app on either iOS or Android devices.

A Shared Database Driven by Users

Kansel includes a reporting feature that lets users flag annoying numbers they receive from real estate agents, marketers, or suspected fraudsters. Every report contributes to a shared database, and this collective input makes the blocking service more effective for the entire user community. The collaborative approach is central to reducing unwanted interruptions, protecting other users from deceptive calling practices, and steadily expanding the list of blocked numbers over time.

Early Focus on Real Estate and Marketing Calls

The current beta release includes a preliminary database of roughly 3,500 real estate phone numbers, reflecting the most common source of nuisance calls cited by users. The application also allows reports for marketing calls and suspected fraud attempts, which helps broaden its coverage beyond a single category. This early focus gives the platform a practical starting point while its database continues to grow through active user participation.

Fraud Prevention and Artificial Intelligence Plans

The developer is already studying how artificial intelligence can strengthen the app's ability to detect nuisance calls and identify emerging patterns of fraud or harassment. Future updates are expected to expand the platform beyond simple call blocking and into more advanced protection mechanisms. These enhancements would specifically target scam attempts, financial manipulation, and other harmful call-based schemes that require more sophisticated detection.

Availability, Feedback, and Support

Kansel is currently available for testing through app stores on both iOS and Android devices. Early users are encouraged to share the app, post store reviews, and report any problematic numbers they encounter to help expand the database. Support inquiries and suggestions can be sent to support@kansel.app, with the team promising to address issues promptly and use community input to shape upcoming releases.


Kansel demonstrates how a widely shared frustration can quickly evolve into a practical technology solution. By combining call blocking, community reporting, and a roadmap for artificial intelligence, the application aims to create a safer and quieter mobile experience. Its early success will depend on user adoption, active reporting, and the developer's ability to deliver meaningful updates in the coming weeks and months.