Solo founder.

Joined January 2016
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Replying to @justvugg
We're building the universal CLI layer for AI agents. MCP servers. Custom scripts. One shell. If you like this project support us → github.com/JustVugg/cli-use Let's turn every tool into a command, together. #MCP #OpenSource #CLI
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Most sync tools lose edits when 2 people change the same row offline. Loomabase fixes it with column-level CRDTs: both changes survive. Safe Rust • SQLite ↔ Postgres • Partial replicas Building real offline-first apps? Worst sync bug you’ve fought? github.com/JustVugg/loomabas…
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I think I've come to something I want to spend time on in addition to the ideas I'm already working on. It will take time, but I'll get there!
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I wanted Supabase apps to keep working offline. So I built Loomabase: an open-source Rust sync engine for SQLite - PostgreSQL. Column-level CRDTs preserve concurrent edits. Supabase Auth RLS secure sync. Partial replicas keep local data small. Would you use it?
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Two devices go offline. One edits a title. The other completes the task. Row-level sync can lose one change. Loomabase preserves both. Open-source Rust sync engine for SQLite ↔ PostgreSQL, with column-level CRDTs and partial replicas. github.com/JustVugg/loomabas…
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Stop writing glue code for AI agents. I built Gutenberg CLI: turn any public API into a verified Go CLI MCP server agent skills in seconds. Includes cache, dry-run safety and proofs. github.com/JustVugg/gutenber… What API do you want as a tool?
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judicex is a production-ready open-source Legal AI workspace. It supports evidence-grounded drafting, matter analysis and verifiable answers with a fail-closed approach. Self-hosted, local SQLite. Works with any LLM or none. github.com/JustVugg/judicex pip install -e .
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Since everyone is showing their own version of Ferrari's AI-generated light, I'll show mine too. Ferrari certainly achieved one thing. Everyone's talking about Ferrari.
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agentmw is a production-ready open-source middleware for AI agents. It detects failures in real time, compresses stale context, and builds a persistent reasoning library that improves with every execution. Works with any LLM and framework. github.com/JustVugg/agentmw
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Judicex — open-source Legal AI workspace for lawyers. Strictly grounded answers with verifiable citations. Evidence-based drafting and matter analysis. Fully private and self-hosted. Repo: github.com/JustVugg/judicex What’s your biggest pain point with legal AI tools right now?
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Turn any MCP server into a real CLI in one command. cli-use add fs /tmp → cli-use fs list_directory Lower token usage, faster agents, zero extra dependencies. github.com/JustVugg/cli-use #AI #CLI #MCP
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Connecting AI agents to external APIs involves too much manual boilerplate. I built Gutenberg CLI to turn OpenAPI specs or curls into fast, local Go binaries. Just pushed a production-ready tool library (Stripe, GitHub, Sentry). (1/2)
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Local binaries are faster and cheaper than standard MCP layers, saving context tokens. Check out the ready-to-use tools library here: github.com/JustVugg/gutenber… (2/2)

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Writing glue-code to hook APIs into AI agents is the worst part of dev. Built Gutenberg CLI in Go: feed it a HAR file, cURL, or OpenAPI, and it spits out a native MCP server with local SQLite caching FTS. Single binary, ultra fast. Repo link in the comments
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Gutenberg CLI turns API specs & traffic captures into agent-ready tools. CLI. MCP. Skills. Cache. Policies. Proofs. Not scaffolding. A real tool surface AI agents can use. Open source → github.com/JustVugg/gutenber… #OpenSource #AI #MCP #DevTools
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Migrating from Stainless? Open-sourced Gutenberg CLI: any OpenAPI or URL → ~30s and you get a clean Go CLI MCP server for Claude/Cursor with verification. Fully local and reliable. gutenberg quick api.example.com github.com/JustVugg/gutenber… #OpenSource #MCP #DevTools

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$ gutenberg quick catfact.ninja/fact 30s later: working CLI MCP server Claude skill,auto-verified (build, smoke, MCP handshake, Go tests). For any API. Most LLM-generated tool wrappers break on first call. This one ships proofs. What API would you point it at?
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How it works: 1. Probes URL → classifies (OpenAPI, JSON, HTML, SPA) 2. Generates Go CLI MCP server Claude skill 3. Verifies: build, smoke, MCP handshake, tests 4. Installs to ~/.local/bin ~95% on OpenAPI specs. 21 verified entries (GitHub = 1,183 ops).
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