ssmithxandClaude Sonnet 5 dcc09ddee4
Deploy / deploy (push) Successful in 4s
Automate deployment: push to main now deploys itself
Registered a repo-scoped self-hosted runner (hcl-local-deploy) directly on
the box serving hcl.archipelago-foundation.org, running in host (not
docker) execution mode. Deploy is a plain local rsync — no SSH keys or
remote credentials needed, since the runner already has filesystem access
to the docroot. Runs as the debian user with no sudo; docroot ownership
was changed from www-data to debian so this works without any privilege
escalation (nginx only needs read access to serve it).

ci.yml now runs on pull_request only — deploy.yml already validates before
deploying on push to main, so running both on every push would just
duplicate the check.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-03 22:55:26 +00:00

ArchyHCL

A community hardware compatibility list for Archipelago — what physical devices people have actually installed it on, what worked, what didn't, and why. Model, CPU, RAM, storage, and WiFi chip for every report, since WiFi chipsets are consistently the thing most likely to bite someone doing an install on repurposed hardware.

Browse the list →

Why this exists

Archipelago runs on whatever hardware people have lying around — old laptops, mini PCs, SBCs — and that's a much wider, messier compatibility surface than a project that only targets its own reference hardware. Before building this, I looked at how a few existing communities solve the same problem:

  • OpenWrt's Table of Hardware — a searchable table of routers, generated nightly from structured wiki pages into a toh.json file the site reads. Good model for the browsing UX (sortable/filterable table of CPU/RAM/flash/WiFi chip), but the underlying wiki pages are free-text and only loosely structured, which the maintainers themselves have called out as a maintenance problem over the years.
  • postmarketOS's device list — tiers devices into main / community / testing support levels, each with a per-device page describing exactly what works and what doesn't. Good model for the status field: a single working/broken flag loses the "boots fine but WiFi is flaky" middle ground that's actually the most common and most useful case to document.
  • RaspiBlitz (closest project to Archipelago in spirit — a Bitcoin/Lightning node OS for repurposed hardware) — hardware feedback mostly lives scattered across GitHub issues with no consistent fields, which makes it hard to search or compare reports. Useful as a negative example: this is what we're trying to avoid by using structured data files instead of free-form issue threads.

The model this repo uses: one small YAML file per report (data/reports/*.yml), validated against a JSON Schema, built into a single data.json a plain static site reads — OpenWrt's browsable-table UX, postmarketOS's tiered status field, and RaspiBlitz's actual subject matter (node-OS-on-repurposed-hardware), on top of git-native, PR-reviewable data instead of a wiki or a scattered issue tracker.

Repo layout

data/
  schema.json       — the report schema (source of truth for what fields exist)
  reports/*.yml      — one file per hardware report
scripts/
  build.py           — validates every report and builds site/data.json
site/
  index.html/.css/.js — the static site (no framework, no build step — just fetches data.json)
.gitea/issue_template/hardware-report.yml — structured issue form for reporting without git

Contributing a report

See CONTRIBUTING.md — either open an issue with the structured form, or add a YAML file directly and open a PR.

Building the site locally

pip install pyyaml jsonschema
python3 scripts/build.py     # writes site/data.json
python3 -m http.server 8000 --directory site

Deployment

Live at https://hcl.archipelago-foundation.org — a static site (site/) served by nginx, cert via certbot certonly --webroot (same pattern as regress.atobitcoin.io and this project's other nginx-fronted sites).

Deployment is fully automatic: .gitea/workflows/deploy.yml runs on every push to main on a repo-scoped self-hosted runner (hcl-local-deploy, label hcl-deploy) living on the same box that serves the site — it runs scripts/build.py and rsyncs site/ straight into the docroot, so data.json can never drift from the source reports. No SSH keys or remote credentials involved; the runner has local filesystem access since it's on the same machine. .gitea/workflows/ci.yml runs the same build/validate step on pull requests, on the (separate, shared) vps2-runner, so bad data gets caught before merge rather than at deploy time.

Runner setup, for reference (repo-scoped registration token from Settings → Actions → Runners → Create new Runner):

gitea-runner register --no-interactive \
  --instance <gitea-url> --token <token> \
  --name hcl-local-deploy --labels "hcl-deploy:host" \
  --config /etc/gitea-runner-hcl/config.yaml

running as a systemd service (gitea-runner-hcl.service) under a user that owns the docroot directly — deliberately not root, and no sudo needed for the deploy step itself.

License

MIT — see LICENSE.

S
Description
Archipelago Community supported hardware compatibility matrix
Readme MIT
79 KiB
Languages
Shell 30.4%
HTML 25.8%
JavaScript 24.9%
CSS 13.1%
Python 5.8%