Statsig

Statsig is an all-in-one product development platform that combines feature flags, A/B experimentation, product analytics, and session replays in a single developer-first stack. We rate it 88/100 — the most complete experimentation platform you can adopt today, and the only one with a genuinely usable free tier for early-stage teams.

What is Statsig?

Statsig was founded in 2021 by Vijaye Raji, the former VP of Engineering at Facebook who ran experimentation infrastructure for products like Facebook Watch and Facebook Gaming. The Seattle-based company shipped its first public release in April 2021 and was built around a simple thesis: every product team deserves the same experimentation tooling Meta built internally, but bundled with analytics and feature management so engineers don't have to glue four SaaS tools together.

The platform now powers experimentation at OpenAI, Notion, Figma, Atlassian, Microsoft, Brex, SoundCloud, Whatnot, and Riot Games. In September 2025, OpenAI acquired Statsig in an all-stock deal valued at $1.1 billion, with Vijaye Raji becoming OpenAI's CTO of Applications. The product continues to operate independently and onboard new customers from the Seattle office.

Key Features of Statsig

• Feature Gates: Targetable boolean and JSON-config flags with percentage rollouts, user-attribute targeting, scheduled releases, and instant kill switches. SDK evaluation runs locally for sub-millisecond latency.
• Experiments and Holdouts: Built-in CUPED variance reduction, sequential testing, multi-armed bandits ("Autotune"), and holdouts for measuring long-term feature impact across many experiments.
• Pulse Auto-Stats: Every gate automatically gets statistical readouts on retention, engagement, and revenue without writing a single SQL query — Statsig's most-praised differentiator.
• Product Analytics and Session Replays: Full-funnel analytics, dashboards, and session replays in the same product as your flags, eliminating the typical Statsig-plus-Amplitude-plus-LaunchDarkly stack.
• SDKs everywhere: Official client SDKs for JavaScript, React, iOS, Android, React Native, Flutter, Unity; server SDKs for Node, Python, Go, Java, Ruby, .NET, Rust, PHP, Erlang, and Elixir.
• Warehouse Native: Run experiments directly against Snowflake, BigQuery, Redshift, or Databricks without copying data out — a feature LaunchDarkly still does not match.

What Users Say About Statsig

On Product Hunt, where Statsig holds a 4.9/5 rating, the most common praise is the breadth of the all-in-one suite and the speed of the SDKs. Reviewers on G2 highlight the polished UI, real-time results, and "setup in under an hour" experience. The most upvoted r/SaaS and Hacker News threads about Statsig consistently single out Pulse auto-stats as the feature competitors haven't replicated.

Recurring complaints are real but bounded. G2 reviewers note that overrides for sharing in-development gates with teammates can be cumbersome, and a small minority of users report bot traffic occasionally inflating exposure counts on free-tier projects. Several users on Hacker News also raised concerns about the long-term independence of the product after the OpenAI acquisition — Statsig's leadership has publicly committed to operating independently, but the question lingers for security-sensitive enterprises.

Statsig Pricing

Statsig has the most generous free tier in this category — by a wide margin.

Plan	Price	Key Limits
Developer (Free)	$0/month	Up to 1M MTUs, 2M metered events/month, unlimited feature seats, all gates and experiments
Pro	Usage-based	5M metered events included, $0.05 per additional 1K events; warehouse-native and advanced experimentation
Enterprise	Custom	SSO, SOC 2 Type 2, audit logs, dedicated support, custom data residency

For comparison, LaunchDarkly's starter plan is $10/seat/month with no free experimentation tier, and Optimizely Web is quoted at five-figure annual minimums. Statsig is the only platform in this category where you can ship feature flags and experimentation to production at no cost up to 1 million users.

Who Should Use Statsig?

Best for: Product-led startups, Series A–C SaaS companies, and engineering teams that want to consolidate feature management, experimentation, and analytics into one vendor. Especially strong for teams already on Snowflake, BigQuery, or Databricks who want warehouse-native experiments.

Not ideal for: Marketing-led organizations who need a visual no-code editor for landing-page tests (Optimizely or VWO are still better there), or fully air-gapped enterprises that require self-hosted feature flags (look at Flagsmith or Unleash instead).

Pros and Cons

Pros:

• True all-in-one — flags, experiments, analytics, and session replays in one product instead of four bills.
• Free tier covers up to 1M monthly tracked users, which is more than most paid LaunchDarkly seats include.
• Pulse auto-stats remove the SQL bottleneck that kills 80% of experiments at most companies.
• Warehouse-native option lets you keep PII in your own Snowflake or BigQuery while still running experiments.
• SOC 2 Type 2, HIPAA, GDPR-ready out of the box; used in production by OpenAI itself.

Cons:

• Pricing past the free tier is metered events-based — a runaway client SDK can produce surprise bills if you don't set guardrails.
• Dev-mode override sharing for teammates is clunkier than LaunchDarkly's equivalent flow.
• Bot traffic occasionally pollutes free-tier exposure counts; enterprise plans get better filters.
• Post-OpenAI acquisition uncertainty — independence is committed-to, not contractually guaranteed.

Alternatives to Statsig

LaunchDarkly — the long-time enterprise leader for feature flags, but no free tier, no built-in analytics, and no warehouse-native experimentation. PostHog — open-source product analytics with feature flags bolted on; better than Statsig if you want self-hosting, weaker on experimentation depth. Flagsmith — open-source, self-hostable feature flags only; pick this if you must keep flag evaluation behind your VPC. Optimizely — strong for marketing-led web experimentation but enterprise-only pricing and aging dev experience.

Verdict: Is Statsig Worth It?

Yes — Statsig is now the default answer for any engineering team that wants experimentation done right. The free tier alone is enough to take it from "interesting" to "start your next project on Statsig." The only teams who should look elsewhere are marketing-led organizations that live in a visual editor, and security teams that legally cannot send flag-evaluation telemetry to a SaaS. For everyone else, the bundling of flags + experiments + analytics + replays under one well-designed product is a once-in-a-decade consolidation in this category. Rating: 88/100 — Very Good.

Frequently Asked Questions

Is Statsig free?

Yes. Statsig's Developer tier supports up to 1 million monthly tracked users, 2 million metered events per month, and unlimited feature seats at $0/month. Paid usage starts at $0.05 per additional 1,000 events on the Pro tier.

What platforms does Statsig support?

Statsig has official SDKs for JavaScript, React, React Native, iOS (Swift), Android (Kotlin), Flutter, Unity, Node, Python, Go, Java, Ruby, .NET, Rust, PHP, Elixir, and Erlang — covering essentially every modern web, mobile, and backend stack.

How does Statsig compare to LaunchDarkly?

Statsig bundles feature flags, A/B experiments, product analytics, and session replays in one product, while LaunchDarkly only ships feature flags and basic experimentation. Statsig also has a free tier up to 1M MTUs; LaunchDarkly does not.

Is Statsig open source?

Statsig itself is closed-source SaaS, but all of its SDKs are open source on GitHub. The platform is not self-hostable; teams that need self-hosting should consider Flagsmith or Unleash.

Did OpenAI buy Statsig?

Yes. In September 2025, OpenAI acquired Statsig in an all-stock deal valued at approximately $1.1 billion, and CEO Vijaye Raji became OpenAI's CTO of Applications. Statsig continues to operate independently and onboard new customers.