The aforementioned expression is printed on posters here at Statsig HQ, a cultural remnant preserved from Facebook’s early days.
At our core, we’ve always been scrappy—from our beginnings as a small crew bundled together in a small office—to now, with ~70 employees and a big office with a music area.
And while we’ve gotten significantly better at not breaking things along this journey, we still move quickly and maintain that same scrappy startup mentality, across all our teams.
Put simply, we know what it’s like to to emphasize shipping speed.
For this reason we’re honored to offer a few different plans for startups, small businesses, and hobbyist builders. It’s our hope that we can help them be scrappy as well, and we want to give them the best shot we can.
Statsig’s startup program, named Be Significant, aims to offer a generous A/B testing, feature flagging, and experimentation solution for scrappy startups.
By enrolling in our Be Significant startup program, startups can enjoy one entire year of Statsig’s enterprise tier (for free) which includes:
Priority support with a direct line to Statsig experts
Advanced analytics with customer metrics and queries
Feature flags, A/B/n experiments, and analytics in a single platform
Collaboration features including change reviews, approvals, and others
Holdouts, multi-armed bandits, experiment layers, API controls, and more
If you’re with a startup that was founded less than two years ago, has raised less that $20M, and employs less than 20 people, don’t hesitate, you should be using the Statsig startup program
Get started now: Apply to the Be Significant startup program.
Statsig is for everyone—companies and teams of all sizes, enterprises, and even individual builders—which is why our Developer tier is so robust when compared against competitors.
📢 Tell your friends! Statsig also offers a referral bonus.
Developer tier (which doesn’t even require a credit card) is our way of saying “We see you” to other scrappy builders out there.
Firstly, we give our Developer tier users one million metered events per month, and unlimited free feature flags along with it.
Developer also includes
Feature launch impact analytics
A/B/n experiments
User, device, and environment-level targeting
Staged rollouts
Dynamic configs
Cross-team collaboration
All the analytics features in the image above
And much more
Feature gates are the beginning steps of any company’s experimentation journey regardless of size or category. For instance, feature flags are standard practice for AI companies, much like Autotune for optimizing model temperature.
Last year, we released our feature management offering to all users, up to 500M free checks per year.
This means most businesses will never have to pay for feature flags.
Again, this decision was made because Statsig is, at its core, for builders by builders, and we believe product teams can massively level up both shipping speed and innovation by using our feature management suite.
☝️ There’s a reason our testimonials page looks like this.
Companies of all sizes, from enterprises to hobbyist builders, are getting value from Statsig, and lots of them aren’t even paying for it. This is our way of saying thank you to placing your trust in us.
We’re committed to growing alongside you.
Take an inside look at how we built Statsig, and why we handle assignment the way we do. Read More ⇾
Learn the takeaways from Ron Kohavi's presentation at Significance Summit wherein he discussed the challenges of experimentation and how to overcome them. Read More ⇾
Learn how the iconic t-test adapts to real-world A/B testing challenges and discover when alternatives might deliver better results for your experiments. Read More ⇾
See how we’re making support faster, smarter, and more personal for every user by automating what we can, and leveraging real, human help from our engineers. Read More ⇾
Marketing platforms offer basic A/B testing, but their analysis tools fall short. Here's how Statsig helps you bridge the gap and unlock deeper insights. Read More ⇾
When Instagram Stories rolled out, many of us were left behind, giving us a glimpse into the secrets behind Meta’s rollout strategy and tech’s feature experiments. Read More ⇾