Show HN: DBJoy – An open-source AI-first PostgreSQL client for macOS
DBJoy is an open-source, AI-first PostgreSQL client designed specifically for macOS with Apple Silicon support. It allows users to interact with their databases using plain language via integrated Anthropic or OpenAI APIs, while also providing traditional SQL editing and schema management tools. The application emphasizes security by storing credentials in the macOS Keychain and enforcing read-only modes by default for AI-generated queries.
- ▪DBJoy is a native SwiftUI application that requires macOS 15 or later and runs exclusively on Apple Silicon hardware.
- ▪The AI assistant feature allows users to ask questions in plain language or generate SQL, utilizing user-provided Anthropic or OpenAI API keys stored securely in the macOS Keychain.
- ▪By default, AI-generated queries run in read-only transactions, requiring explicit user approval for any data modifications or schema changes.
- ▪The client supports SSH tunnels for secure database access and allows connections to be grouped by environment tags such as local, development, and production.
- ▪DBJoy includes a Model Context Protocol (MCP) integration that enables external tools like Claude Code to access selected database connections for read-only queries.
2 outlets in our directory ran this story, first to last over 32 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Show HN: Hatoba, an open-source SSH client with an AI assistant and E2EE sync — Hacker News (AI / LLM)
Hacker News (AI / LLM) files mainly under ai. We currently carry 8,030 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/agustind/dbjoy |
| Publication time | Mon, 12 Oct 2026 10:32:53 +0000 |
| Retrieval time | 2026-10-12T10:40:58.580Z |
| Last seen | 2026-10-12T10:40:58.580Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | xFZ4wbqePEkf · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
██████╗ ██████╗ ██╗ ██████╗ ██╗ ██╗ ██╔══██╗██╔══██╗ ██║██╔═══██╗╚██╗ ██╔╝ ██║ ██║██████╔╝ ██║██║ ██║ ╚████╔╝ ██║ ██║██╔══██╗██ ██║██║ ██║ ╚██╔╝ ██████╔╝██████╔╝╚█████╔╝╚██████╔╝ ██║ ╚═════╝ ╚═════╝ ╚════╝ ╚═════╝ ╚═╝ The AI-first PostgreSQL client for the Mac. Ask questions about your data in plain language and get answers backed by real queries, or have the SQL written for you, with your own Anthropic or OpenAI key. Then browse schemas, edit data safely, write SQL and export, all in a fast, keyboard-friendly SwiftUI app. More database engines can be added as drivers. Install Download the latest DBJoy-<version>.dmg from Releases, open it, and drag DBJoy to Applications. Builds are signed with a Developer ID and notarized by Apple.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.