YOURLS
Bitly
Polr
TinyURL
Rebrandly
Cutt.ly
adf.ly
Tiny.cc
LangSmith
Langfuse
Helicone AI
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Portkey
Humanloop
Braintrust.dev
Braintrust
YOURLS
LangSmithLangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.
Based on our record, YOURLS seems to be more popular. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is what I use and like: https://yourls.org. - Source: Hacker News / over 2 years ago
Similar to...? https://yoslash.com/ Personally I just use https://yourls.org/. - Source: Hacker News / about 3 years ago
YOURLS has a "detect-mobile-device" plugin. Is that what you were looking for? Source: over 3 years ago
You will need to implement the YOURLS URL Shortener (https://yourls.org) and then implement the following YOURLS Plug-in - https://github.com/peterberbec/yourls-keyword_charset_length (Keywords, Charset & Length). Source: over 3 years ago
Personally I would use something like this, although it does require a database. https://yourls.org/. Source: over 3 years ago
Bitly - Get the most out of your social and online marketing efforts. Own, understand and activate your best audience through the power of the link with Bitly Enterprise.
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Polr - An open source URL shortener. A great non-profit and free alternative to bit.ly, TinyURL, or goo.gl.
Helicone AI - Open-source LLM Observability for Developers
TinyURL - Are you sick of posting URLs in emails only to have it break when sent causing the recipient to...
LangChain - Framework for building applications with LLMs through composability