supabase

本文解读 Supabase 如何达到100亿美元估值：每周新增超100万个数据库，约70%由AI编程工具创建，AI工具将其选为默认后端，但也带来依赖他人的风险（如v0后来转向竞争对手）。

Lobste.rs posts an interview with Deepthi Sigireddi from Supabase, the open-source Firebase alternative, with a discussion thread in the comments.

Supabase raised $150 million at a $10.65 billion valuation, with over 13 million developers using it as an app backend and 70% of new databases now created by agents or AI-driven tools.

Supabase significantly upgraded local development for AI agents and developers, adding Docker-free local runs, multiple instances per repo/worktree, Declarative Schemas 2.0 with pg-delta migration generation, and code-based auth, API, and storage configuration.

A developer building apps with AI coding agents (Cursor, Claude) discovered that agents often write Supabase RLS policies that look secure but aren't, prompting them to build a small CLI security scanner that found 95 findings (12 high severity) in their own repo—including a live service-role key in public HTML and stale policies exposing an access-key table.

A developer built a functional iPhone app in just four days using Anthropic's Claude Opus 5.5 AI model, showcasing rapid prototyping with AI assistance and detailing the planning and technical decisions involved.

Thousands of Supabase-hosted databases are publicly exposing sensitive personal data due to misconfigurations, highlighting security risks in AI-vibe-coded apps and underscoring widespread vulnerabilities.

The article highlights a common security oversight in AI-assisted development where agents verify write operations but fail to ensure proper permission checks, like RLS policies being correctly configured.

Supabase is an open-source Postgres development platform offering a hosted database, automatic API generation, authentication, and AI tools, earning over 109k stars on GitHub for its efficiency and comprehensiveness.

Supabase grew its annual recurring revenue from $1 million to $170 million in five years, reaching a $10.5 billion valuation through phases as a side project, open-source moat, and AI-era backend infrastructure.

A truck driver with no coding background built an AI news aggregator using Next.js and Supabase that summarizes and deduplicates news from multiple sources.

Paul Graham highlights a graph showing Supabase now deploys over 1 million new Postgres databases every week, a notable milestone for a six-year-old company.

A blog post about a simple pattern for self-healing agents: using lifecycle hooks to read and write lessons, with guardrails to prevent false beliefs from entrenching.

Supapool is a CLI tool that provides isolated, ephemeral Supabase instances for each coding agent or CI run, spinning up in ~400 ms to enable parallel, production-like testing without interference.

freeCodeCamp released an 8-hour course on building a full-stack e-commerce app using Next.js, Supabase, Zustand, and Paystack, covering everything from authentication to deployment on Vercel.

@antonosika responds to criticisms about Lovable's platform, emphasizing that users can export code via two-way git sync, export data with real Postgres migrations, and avoid vendor lock-in.

Recommends using Claude AI along with a set of free/low-cost services (Supabase, Vercel, Stripe, etc.) as a full-stack tech stack for solo businesses or indie development, covering development, deployment, payments, email, authentication, monitoring, and more.

Explains how a traditional backend inflates AI agent token usage and demonstrates a context-engineering approach that reduces Claude Code session costs by 2.5x without changing models or prompts.

A tweet listing a low-cost modern tech stack for startups using Claude for coding, Supabase for backend, Vercel for deployment, and other tools.