November 2022 Summaries

Chander Ramesh's experience with Motion highlights the challenges faced by the engineering team due to inadequate feature flagging infrastructure, leading to constant firefighting, unstable release processes, and an inability to roll back releases. Initially opting for LaunchDarkly based on peer recommendations, Chander soon found it an unsuitable choice due to its seat-based pricing model, lack of support for certain technologies, and inaccurate insights, which ultimately hindered developer productivity and led to performance issues. The team eventually transitioned to Statsig, which offered a more flexible usage-based pricing model and better support for their technical needs, leading to improved efficiency and reduced burdens on the engineering team. This experience underscores the importance of thorough vendor evaluation to avoid costly and time-consuming implementations of unsuitable solutions.

Statsig hosted its inaugural Data Science Meetup on November 1st in San Francisco, bringing together data science enthusiasts in an intimate setting to foster in-person connections amid a trend of shifting large conferences to remote formats. Attendees, including both longtime Statsig customers and new participants, enjoyed themed cocktails and a lively panel moderated by Timothy Chan, featuring industry insights from professionals at Roblox, Figma, Meta, and Stripe. The event successfully combined diverse data backgrounds, leading to engaging discussions and new ideas for participants to apply in their work. Attendees left with new connections, fresh perspectives, and tokens of appreciation like Statsig dad hats, while the atmosphere was enhanced by DJ performances and Bi-Rite catering.