Alternatives
Products that do what Apiboo does
API client, database, chat, docs and vault in one local app
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- 16CM
Here's something I realized: the most AI-native knowledge base isn't a SaaS product with an API. It's a folder of markdown files on your disk. Obsidian stores everything as plain .md files. That means Claude Code (or any AI tool) can grep, read, write, and traverse your entire knowledge base with zero setup. No API keys. No OAuth. No middleware. Just local file I/O. The only missing piece was sync. I wanted my vault on iPhone (iCloud), on Mac (local), and on GitHub (backup + version history) — without paying $4/mo for Obsidian Sync. cc-md is ~400 lines of bash. iCloud handles Apple…
Feb 2026 · github.com
- 17DA
Hi All, API integration often cycles in repetitive use cases, API specs, Libraries/SDKs, developer context & tech support. We are building a desktop app that lets SaaS API sellers design their API integration flow and lets their customer integrate APIs in seconds. SaaS API companies (including our existing customers) resort to: 1. For API documentation - readme.io, Postman and Swagger (few use PDFs too.) 2. For Chat/Support/FAQ - Freshdesk/Zendesk/Calendly/Skype/Teamviewer 3. For Developer Context - IDEs for Android/iOS/JavaScript On top of these…
2017
- 18TT
Hi everyone, nice to meet you and I am a newcomer of HN. I have made a binary tool Aih that could communicate with Bard, ChatGPT, Claude, and Llama(HuggingChat) from the terminal. https://github.com/Databingo/aih Since CAPTCHA challenges and bots detecting have become increasingly difficult, I've changed my strategy from hacking the APIs to simulating a real browser's action. The tool first takes the logged-in cookies of Google, ChatGPT, Claude, and HuggingChat accounts from the real Chrome browser, then it opens an invisible instance of Chromium for communication, then…
2023 · github.com
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- 20CR
Hey HN, Over the past 10 months I've been using Claude Code heavily, and one limitation kept coming up: you can really only run one coding agent at a time. While one agent is refactoring something, the rest of the repo is basically blocked unless you start manually juggling branches and working directories. The core issue is that AI coding agents operate directly in your filesystem. If two agents run in the same working directory they quickly start stepping on each other’s changes. Git worktrees turned out to be a surprisingly good primitive for solving this. So I built ChatML, a Desktop app…
Mar 2026 · github.com
- 21AO
Hi HF, I'm Terrell, and we built an open-source app that lets developers create their own Operator with a Next.js/React front-end and a flask back-end. The purpose is to simplify spinning up virtual desktops (Xfce, VNC) and automate desktop-based interactions using computer use models like OpenAI’s There are already various cool tools out there that allow you to build your own operator-like experience but they usually only automate web browser actions, or aren’t open sourced/cost a lot to get started. Spongecake allows you to automate desktop-based interactions, and is fully open…
2025 · github.com
- 22SO
Hi HN, Over the past year, I’ve been building a native MacOS Postgres client for my personal use. While there are plenty of existing clients, I built this because: - No open-source Postgres client matched the smooth UX of tools like Sequel Pro/SequelAce (for MySQL). - I missed the satisfaction of long-term product ownership and iteration—recent work has me jumping between projects. - I’ve been using Postgres more lately and wanted to get hands-on to deepen my knowledge. I also wanted a playground to experiment with client features that would help me on day-to-day. Some I have…
2025 · github.com
- 23KD
Every AI agent that does something useful - opening a PR, posting in Slack, updating a ticket - needs to call an API on behalf of a user. That means OAuth. Authorization flows, token storage, refresh logic, per-user credential isolation. Today, most teams solve this with a long-lived API key in an .env file, shared across every user and every session. As everyone in an organization becomes a software engineer - whether they know it or not - you can't expect each of them to roll their own OAuth. Secure credential handling needs to be baked into the infrastructure. The core issue: agents are a…
Mar 2026 · kontext.dev
- 24AU
Hey HN! We built a tool that uses eBPF to discover AI services and their data flows in Kubernetes clusters. Modern AI apps often follow this pattern: 1. Service receives request 2. Queries database (PostgreSQL/Redis/MongoDB) 3. Sends data to LLM API (OpenAI/Anthropic/Bedrock) 4. Consumes or returns the AI generated response Security teams often don't know: - Which services are making AI calls - What databases they're accessing first - Whether PII is being sent to third-party APIs - What libraries and packages are being used for AI Our eBPF based tool attaches to network…
Jan 2026 · aurva.io
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