I

I made a dual-bootable NixBSD (NixOS and FreeBSD) image

Hacker News

I made a dual-bootable NixBSD (NixOS and FreeBSD) image

I've been working on getting NixBSD (Nix package manager + FreeBSD) to boot alongside NixOS on a shared ZFS pool. The result is a <2GB disk image you can try in QEMU or virt-manager. What works: - GRUB chainloads FreeBSD's bootloader - Both systems share a ZFS pool - Everything is defined in a single Nix flake - Fully reproducible builds (some dependencies are now cached on Cachix) Planned: - Support native compilation of NixBSD (currently cross-compiled on Linux) - Many shortcuts were taken to get this working, needs lots of cleanup - Add a semi-automated installer like nixos-wizard Try it: qemu-system-x86_64 -enable-kvm -m 2048 \ -bios /usr/share/ovmf/OVMF.fd \ -drive file=nixos.root.img,format=raw Login: nixos/nixos or root/toor The hardest parts were getting mounts working at boot, making the bootloader setup idempotent, and debugging early init. This disk image could potentially work on a USB stick with a bit more work. This is very much experimental. My goal is to eventually produce a proper NixBSD installation ISO and consolidate all configuration into one repository while still consuming upstream NixBSD as a flake. Download: https://github.com/jonhermansen/nixbsd-demo/releases/tag/bui... Feel free to leave feedback here or on GitHub! Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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