@statsigi
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Move faster and build better products with integrated AB testing, product analytics, feature flags & session replay.
Bellevue, WA
Joined December 2020
- Tweets1.1K
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Statsig retweeted
Getting back to my science teacher roots on the Statsig blog!
It's easy to run an A/B test without a real hypothesis. Here's why you shouldn't.
Read more: statsig.com/blog/whats-the-p…
Statsig retweeted
i love that the team does stuff like this
Codex is not like claude code.
if you know the limit is going to end, like last 10 to 8%, give an very long run task, and even after the limit got ever, it will continue to do the task until the task was completed.
Shout out to @OpenAI team.
It's finally Pragmatic Summit Day with @GergelyOrosz 🔴
We’ve already kicked off with incredible mainstage sessions and we're just getting started 🚀
🔗 Read our blog to learn more and try them today: statsig.com/blog/statsig-ai-…
We’ve been working on a knowledge graph that connects your codebase to Statsig entities like metrics, feature gates, and experiments 🧠
The vision is to provide foundational infrastructure that allows teams and AI agents to learn faster and make better decisions using deeply connected context.
🔗 Read our blog by Pablo Beltran and Emily Hallet to learn more: statsig.com/blog/knowledge-g…
Want to learn more about techniques like SPRT that can help you run experiments faster and accelerate learning loops?
Here’s Michael Makris with a preview. Join him and Allon Korem for our webinar this Wednesday, where we’ll dive into advanced methodologies like SPRT, CURE, and more!
We’ve been steadily incorporating AI into key workflows in Statsig to help teams learn and optimize even faster.
Some areas where we’ve seen early wins include the hypothesis advisor, experiment summaries, experiment search, and one-click stale feature gate cleanup.
Learn more about these features and how we’re making Statsig smarter in our blog by Shubham Singhal, Kaz Haruna, and Sid Kumar: statsig.com/blog/statsig-ai-…
Looking to accelerate your learning and iteration loops? This webinar is for you.
Join Allon Korem and Michael Makris for a technical session on stats methodologies that help you get quicker signal from experiments - so you can make decisions and iterate faster 🧪
We’ll cover essential techniques to reduce experiment run times, then dive into advanced approaches used by top experimentation teams, including SPRT and CURE (an advanced CUPED implementation), to scale experimentation velocity.
The full agenda for The Pragmatic Summit, hosted by @GergelyOrosz (@Pragmatic_Eng) is now live 🔴
You’ll hear from leading voices in engineering, including Vijaye Raji, Thibault Sottiaux, Laura Tacho, Rajeev Rajan, and Thomas Dohmke, plus actionable insights from teams at @cursor_ai, @linear, @OpenAI, @Uber, @tryramp, and @vercel.
We’re also excited to welcome @bytebytego to the lineup, with @alexxubyte and joining the program and bringing something extra for attendees 😉
🔗 Attendance is capped at 400, and spots are filling up quickly so be sure to apply to attend as soon as possible at pragmaticsummit.com/
🔗 We put together a short guide to share what’s worked in practice and help make onboarding a targeted goal instead of an open-ended effort.
Read the blog to learn more: statsig.com/blog/guide-to-on…
2025 was a big year for us ⭐
As AI continues to accelerate how fast teams can build products, we’re seeing more and more customers look to tighten their learning loops, ship with confidence, and iterate faster.
That shift is showing up clearly in our platform, with strong year-over-year growth in experiment and feature gate usage. Read our year in review to look back on our journey, key milestones, and how product building itself has evolved in recent years: statsig.com/blog/statsig-202…