Skip to main content

SubSafe Labs

SubSafe Labs offers a fully offline mobile app that helps users track and cancel forgotten subscriptions before they are charged. The app stores all data locally on the device, requires no bank credentials or account, and provides smart billing alerts plus spending analytics in USD, EUR, or TRY. It is currently live on the Play Store with a no-ads, no-server-upload privacy promise.

TORINO, Tonga · HQ
10+ followers
Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Consumers often lose track of recurring subscription payments, leading to wasted money on services they no longer use or forgot they signed up for. Many subscription management tools require cloud storage or bank account access, raising privacy concerns and creating barriers to adoption.

Solution

SubSafe Labs provides a mobile application that helps users monitor and cancel subscriptions entirely offline. The app stores all data locally on the user's device, eliminating the need for bank credentials or an online account. It sends smart alerts before billing dates so users can cancel in time, and includes an analytics suite that tracks monthly and yearly spending across USD, EUR, or TRY. The experience is ad-free with no server uploads, ensuring a private and clean user experience.

Target Audience

Primary users are privacy-conscious individuals who want to track and cancel recurring subscriptions without sharing financial data or relying on cloud-based services.

Features

  • Zero-cloud security with all subscription data stored locally on the device
  • Smart alerts that notify users before billing dates to prevent unwanted charges
  • Analytics suite with monthly and yearly spending overviews in USD, EUR, or TRY
  • No ads, no server uploads, and no account or bank credential requirements
  • Available on the Play Store with a system status indicating live availability
This profile is AI-generated and may contain inaccuracies.