Self-hosted, resource-efficient authentication infrastructure built in Rust, offering robust security and multi-tenancy.
ovlt
Self-hosted, resource-efficient authentication infrastructure built in Rust, offering robust security and multi-tenancy.
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What it does
ovlt provides self-hosted OAuth2 and OIDC authentication infrastructure, engineered in Rust for high performance and a minimal footprint, running under 50MB RAM. It includes advanced features like multi-tenant PostgreSQL RLS, WebAuthn passkey support, per-tenant SMTP, and AES-256-GCM field-level encryption. This solution aims to give developers full control over their auth stack while ensuring top-tier security and efficiency. It appears to be a robust alternative for teams seeking a highly optimized auth solution.
Who it helps
Engineering teams and developers building applications that require robust, self-hosted authentication solutions, especially those prioritizing resource efficiency, security, and data control. It's ideal for SaaS providers needing multi-tenancy and strong encryption capabilities.
Why it's interesting
ovlt addresses a critical need for secure, efficient, and self-hosted authentication, a constant challenge for many development teams. Its Rust foundation and ultra-low memory footprint (<50MB) offer a compelling performance advantage over existing solutions. The inclusion of modern features like passkeys and multi-tenant encryption positions it as a powerful, future-proof choice for infrastructure-conscious developers.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Low confidenceThis FounderDeck signal estimate of $350,000 reflects ovlt's strong technical promise as a self-hosted, highly efficient, and secure authentication infrastructure. The clear problem it solves, combined with its Rust foundation and advanced features, suggests significant value for developer teams. The estimate is not higher due to the minimal public website, which currently lacks details on pricing, explicit business model, team, or any public traction.
Valuation date: 2026-06-05. Estimate generated from public signals.
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