Privacy Policy
2026-01-01
Taifu Accelerator places a high priority on your privacy. This privacy policy details how we collect, use, and protect your personal information. By using Taifu Accelerator's services, you agree to the terms of this policy.
Information Collection
Taifu Accelerator only collects the minimal information necessary to provide services. When you register an account, we collect your email address and payment information. We do not collect or store your browsing history, IP address, DNS queries, or any traffic data related to your accelerator usage.
Information Usage
The information we collect is used solely for the following purposes: to provide and maintain Taifu Accelerator services, to process payment transactions, to send service-related notifications (such as account expiration alerts), and to improve our products and services. We will never sell or rent your personal information to third parties for marketing purposes.
Data Security
Taifu Accelerator employs industry-leading security measures to protect your data. All servers operate in pure RAM mode, ensuring data is automatically cleared upon reboot. We use AES-256 encryption to transmit all data and regularly conduct third-party security audits.
Cookie Policy
Taifu Accelerator's website only uses essential functional cookies to maintain your login state and language preferences. We do not use any tracking cookies or third-party analytics tools to monitor your browsing behavior.
Third-Party Services
Taifu Accelerator utilizes Stripe for payment processing and an email service provider for service notifications. These third parties only access your data to the extent necessary to fulfill their service responsibilities and are bound by strict data protection agreements.
Your Rights
You have the right to access, correct, or delete your personal data at any time. You can contact us at support@vpnjs.net to exercise these rights. Upon receiving a request, we will respond within 30 days. If you choose to delete your account, we will remove all associated data within a reasonable timeframe.