# Walter-Sparrow/lunar-tear

Private server research project for a certain discontinued mobile game

Repository: https://github.com/Walter-Sparrow/lunar-tear
Canonical: https://ross.abutalabs.com/products/lunar-tear
Language: Go
License: MIT
License Family: permissive
Topics: private-server
Last push: 2026-05-28T07:51:34+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 86, longevity 12
- inputs: {"age_days": 175, "days_push": 97, "days_rel": 97, "gap_med": 2.5, "n_releases_24m": 3}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1043, forks 108 (observed 2026-08-28T04:03:20.975122+00:00)

## What it is
Lunar Tear is a private server implementation for a discontinued mobile game, written in Go. It bundles gRPC, CDN, and auth services with an interactive setup wizard and SQLite-backed player state.

## Use cases
- host a private server for a discontinued mobile game
- emulate the game's auth and CDN services locally
- run a game server on Linux, macOS, or Windows from prebuilt binaries
- research the game's network protocol via gRPC stubs
- set up a game server without networking knowledge using the wizard

## When to choose
- you want to self-host a revival of the discontinued game
- you need a ready-to-run server with prebuilt binaries and an interactive setup wizard
- you want to study or extend the game's server protocol in Go

## When to avoid
- you need a server for a different or still-supported game
- you require official support or guaranteed long-term maintenance
- you cannot obtain the game's assets or client

## Facets
- artifact type: service
- maturity: active
- function: rpc, auth, http-server, database, game
- domain: gaming-tools, self-hosted, reverse-engineering
- platform: windows, go, cli
- tags: private-server, game-server, mobile-game, grpc, sqlite, server-emulator, linux, macos

## Member repositories
- Walter-Sparrow/lunar-tear (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.975122+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:02:28.801619+00:00, confidence not recorded.
  - readme: https://github.com/Walter-Sparrow/lunar-tear (fetched 2026-08-28T04:03:20.975122+00:00, sha ebef88daf5b7)
- Data as of 2026-08-30T08:39:29.467469+00:00.