
OnlyNv
Sync your .env everywhere automatically
What it does
Imagine a world where you never again had to add your environment variables manually. OnlyNv handles everything from peer-to-peer syncing to registering with CI platforms like GitHub and deployment pipelines like Vercel.
Does the same job
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- PEPlaces-env, secure version control of environment files2024 · github.com · ▲6
Now that I have your attention (“Don’t you dare version control environment files!!”, “This can’t be safe.”) and before you tear me and my project to shreds, please allow me to take a moment to celebrate something small but meaningful: I’ve finally released a thing. Thank you. Motivation tl;dr: The existing tools and libraries for versioning and syncing environment files / secrets across team members and CI machines just didn’t cut it for me. So, I set out to create my own solution — one finally checks all my boxes. So what is places-env? (I encourage you to check the readme…
- IJI just fixed .env once and for all – better-envNov 2025 · better-env.dev · ▲8
.env files have always felt archaic, insecure, clunky and honestly just not fun to work with. I see my friends (and myself) accidentally committing them all the time. Managing secrets across projects becomes a mess of copy-pasting keys into scattered env files with no real way to sync anything. So I built better-env: a secure, developer-friendly alternative to .env. Store your secrets once in a global encrypted store, and load them per-project at runtime. I’d love feedback on whether this feels useful beyond solo devs, and what you’d want for teams or CI setups. Fully open source:…
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the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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