ld-find-code-refs VS lmsoc

Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a different way that it became hard for such a small team to maintain. Meanwhile, feature flagging is a much narrower problem where most customers will have similar use cases. In addition, Taplytics required lots of face-to-face time selling to executives, while DevCycle is more of a bottoms-up, self-serve sales process. Finally, we didn't cover it in the interview but feature flagging is a huge market. LaunchDarkly was valued at $3billion in 2021.

I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com

10. LaunchDarkly

There are however Saas to implement directly a feature management system. Several solutions exist like LaunchDarkly, Flagsmith or Unleash.io. Using a SaaS (Software as a Service) feature flagging solution offers the advantage of a faster and more straightforward implementation process. These services are readily available and can be quickly integrated into your project.

Currently, there are numerous feature flag systems available. Options include our own company's open-source system, "Bucketeer", and the renowned SaaS "LaunchDarkly" among others. When comparing these, the following considerations might come into play:

A variety of tools can cover some of these use cases. PLG tools like Segment and journy.io can track activity. Maybe you use a feature flag service such as LaunchDarkly. Stripe or Chargebee might manage some of the billing-related aspects. Meanwhile, problems related to authentication might be visible in your Auth0 account. However, it’s unlikely that you’re using all these platforms. Even if you are, you probably can’t cover some use cases.

If you have not used it and wonder what I am talking about: https://launchdarkly.com/.

We have seen how important validation and verification is for reproducing results in research, which is why more and more journals and conferences are requesting that article or paper submissions are paired with reference implementations. These projects rarely see updates or bug fixes, but it is important for them to be open source in order for others to study the code, learn from them, and incorporate the methodologies into their own applications. Examples include ACORN and LMSOC.

Code for https://arxiv.org/abs/2110.10319 found: https://github.com/twitter-research/lmsoc

The LMSOC code is available on the project’s Github. The paper LMSOC: An Approach for Socially Sensitive Pretraining is on arXiv.

The LMSOC code is available on the project’s Github. The paper LMSOC: An Approach for Socially Sensitive Pretraining is on arXiv.