Supabase raised $500 million in a Series F round to accelerate open source Postgres tooling and Multigres development, drive hiring and offer employee liquidity through secondaries.
Supabase raised $500 million in a Series F funding round, at a $10 billion pre money valuation ($10.5 billion post money). The round was led by GIC (Singapore’s sovereign wealth fund), with participation from all existing investors including Accel, Y Combinator, Craft Ventures, Felicis, Peak XV, and Coatue. Stripe participated for a second time, while new investors included Georgian and Salesforce Ventures. This brings Supabase’s total funding to over $1 billion.
The timing, seven months after a $100 million Series E at $5 billion valuation in October 2025, reflects rapid momentum in the AI driven developer tools space. Valuation more than doubled in under a year, signaling strong investor confidence in Supabase’s position as a leading backend platform amid the “vibe coding” and AI agent boom.
How will Supabase use the funds?
According to CEO and co-founder Paul Copplestone, the capital will support three main areas: accelerating open source and Postgres tooling development, fueling company growth (hiring in product, sales, and engineering), and providing employee liquidity.
A key announcement alongside the round was the open sourcing of Multigres v0.1 alpha, described as a “scalable operating system for Postgres” focused on high availability, operational simplicity, and future horizontal scaling (aiming for Vitess-grade capabilities). Additional work on projects like OrioleDB targets challenges such as bloat, connection pooling, and high availability. This underscores Supabase’s commitment to enhancing Postgres for large scale, production workloads while remaining open source friendly.
Employee secondaries allow staff (now in over 50 countries) to sell up to 25% of vested options, with a 10 year exercise window, supporting retention in a competitive talent market without geo-adjusted salaries.
Supabase has experienced explosive adoption:
- Nearly 10 million developers building on the platform, more than doubling in eight months.
- Database launches grew 600% year over year, with over 60% of new databases created via AI tools (e.g., Claude Code and Codex as major drivers since early 2026).
- “Supabase for Platforms” (enabling other platforms to build on it) has been the fastest growing product.
Revenue estimates point to roughly $70 million ARR in 2025 (up significantly from prior years, with strong YoY growth reported around 130-250%+ in various analyses), driven by its tiered SaaS subscription model (Free, Pro at $25/month, Team at $599/month, and Enterprise). Usage based elements cover compute, storage, bandwidth, and MAUs. The company has hundreds of thousands of customers and a team of around 350.
This growth is fueled by the “vibe coding” trend, where AI coding assistants enable non traditional developers (and agents) to build full apps quickly. Supabase’s full Postgres database with bundled features, Authentication (with Row Level Security), Edge Functions, Realtime, Storage, Vector embeddings, and instant APIs, lowers barriers dramatically. It positions itself as an open source Firebase alternative but with relational SQL strengths, portability, and extensibility.
Supabase stands out in the backend as a service (BaaS) and managed Postgres space against:
- Firebase (Google): NoSQL/document oriented; Supabase offers relational power, realtime, and open source self hosting options.
- Neon: Serverless Postgres focus with branching/scale to zero strengths, but lacks Supabase’s full suite (auth, storage, realtime).
- PlanetScale: MySQL/Vitess-based scaling expertise, but different database paradigm.
- Others like Convex, Appwrite, or self hosted options.
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Supabase’s edge lies in its integrated platform experience, strong open source community/contributions, AI era tooling (e.g., MCP for schema-aware assistance), and rapid iteration on scaling challenges. It appeals to indie hackers, startups, AI builders, and increasingly enterprises. Challenges include managing Postgres complexity at massive scale (addressed via Multigres and internal tooling) and competition in serverless/edge spaces.
At ~$10.5B post money on ~$70M ARR (rough 2025 figures), the multiple is high but aligns with AI infrastructure hype and hyper growth metrics. The round reflects broader VC interest in tools powering AI app development. Strong participation from strategics (Stripe, Salesforce Ventures) and a sovereign like GIC adds credibility and potential global/enterprise expansion.
Opportunities: Deeper enterprise penetration (compliance, SLAs), AI/agent native features, platform partnerships, and international growth. Multigres could unlock larger workloads and self hosted revenue/support models.
Risks: High valuation sets a high bar for execution; Postgres operational challenges at extreme scale; potential AI tool evolution reducing need for certain abstractions; competition intensifying; and macroeconomic sensitivity in late stage funding. Execution on reliability, performance, and support will be critical as the user base matures.
This funding cements Supabase’s leadership in the Postgres powered developer platform space, capitalizing on the AI democratization of software building. The combination of open source ethos, product velocity, and community driven growth positions it well for continued expansion, though sustaining hyper growth and delivering on scaling promises will determine long term success.
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