Lnkgo Reviews โ€” Discover what people think of this product.

Lnkgo

Lnkgo

Branded tracked links for agents

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Lnkgo is a link management service designed for programmatic use via APIs, CLI, and automated workflows. It enables creation of short links, QR codes, and retrieval of analytics without a graphical dashboard. Each link acts as a single resource that returns a short URL, QR code, and structured metrics such as clicks, referrers, and geography. Custom domains are supported through DNS verification and can be used programmatically. The service is intended for scripts, CI pipelines, and agent-based systems where links are generated and tracked automatically.
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What does Lnkgo help with?

Lnkgo is a link management service designed for programmatic use through APIs, command-line tools, and automated workflows. It provides functionality for creating short links, generating QR codes, and retrieving click analytics without requiring interaction with a graphical dashboard. The system is structured around a single link resource that can be accessed and managed via HTTP requests, CLI commands, or agent-based tools. Each link can return multiple outputs, including a short URL, a QR code representation, and structured analytics data such as total clicks, filtered non-bot traffic, referrers, geographic distribution, and time-series metrics. Custom domain support is available through a DNS verification process. Once verified, domains can be used to generate branded short links programmatically. This approach removes the need for manual configuration steps typically associated with domain setup in link management platforms. Lnkgo is intended for environments where links are generated and tracked as part of automated processes, such as scripts, CI pipelines, or agent-driven systems. Access is provided through API keys issued after email verification, with usage limits applied and expanded based on domain ownership verification. The platform focuses on consistent, repeatable operations, allowing the same commands or requests to be reused across different execution contexts, including local development, cloud environments, and integrated tools.

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