Statsig

Move faster and build better products with integrated AB testing, product analytics, feature flags & session replay.

[Statsig @statsig]

For more: https://t.co/2i7x9BZGlt

[Statsig @statsig]

Autotunes, Version History, and Single-Override DELETE Endpoints. See what we've been shipping the first week of June.

Product Updates are back on the menu.

[Sam Altman @sama]

i love that the team does stuff like this

[Statsig @statsig]

It's finally Pragmatic Summit Day with @GergelyOrosz 🔴

We’ve already kicked off with incredible mainstage sessions and we're just getting started 🚀

[Statsig @statsig]

🔗 Read our blog to learn more and try them today: https://t.co/D1fQs0SMLR

[Statsig @statsig]

Check out our new AI-powered features in Statsig that are improving core workflows ⚡

[Statsig @statsig]

🔗 Read our blog by Pablo Beltran and Emily Hallet to learn more: https://t.co/MhdPDovc0Y

[Statsig @statsig]

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.

[Statsig @statsig]

🔗 Register now: https://t.co/m3PLfIhOCY

[Statsig @statsig]

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!

[Statsig @statsig]

@Nextdoor drove faster, deeper learnings after moving from their internal experimentation tool to Statsig.

By automating the heavy lifting involved in running experiments, the team was able to buy back valuable data science time. This enabled them to dive deeper into experiment insights - including dimensional breakdowns and novelty effects, and ultimately make more informed product decisions faster 🚀

Hear from Sara and Kurnal on how Nextdoor transformed their experimentation culture in partnership with Statsig.

[Statsig @statsig]

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: https://t.co/eXTaNvkFDq

[Statsig @statsig]

📍 Save your spot: https://t.co/m3PLfIhgNq

[Statsig @statsig]

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.

[Statsig @statsig]

🔗 Attendance is capped at 400, and spots are filling up quickly so be sure to apply to attend as soon as possible at https://t.co/nqw9kmBWhl

[Statsig @statsig]

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 😉

[Statsig @statsig]

🔗 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: https://t.co/HmdYXa9L63

[Statsig @statsig]

Getting started with Statsig? 🧪

From working closely with our customers, we’ve learned that successful onboarding usually comes down to three clear steps: setting up the right foundations, enabling your team, and defining what success looks like.

[Statsig @statsig]

@Life360 has grown exponentially over the past few years. In that time, they’ve transformed their experimentation culture, with a focus on moving faster 🚀

Since migrating off a legacy feature flagging tool and partnering with Statsig, they’ve been able to:
• Increase testing velocity - helping drive core metrics like subscription conversions and upsells
• Make decisions faster, with PMs able to self-serve insights without being blocked on Analyst time
• Build trust in experiment results, thanks to Statsig’s automated health checks

We’re proud to be part of Life360’s growth journey! Huge thanks to Shivali S. and Deekshit B. for an amazing ongoing partnership 🤝

[Statsig @statsig]

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: https://t.co/7rOle26cX8