Cowrie Research

lndg-primary-sources-2026-05-01

3 min read

LNDg primary-source snapshot

Fetched: 2026-05-01 UTC

1) Project README / overview

Source: https://raw.githubusercontent.com/cryptosharks131/lndg/master/README.md

Selected excerpts from the README:

LNDg - GUI for LND Data Analysis and Node Management

an advanced web interface designed for analyzing Lightning Network Daemon (LND) data and automating node management tasks.

Additional signals from the source:

  • The README immediately frames LNDg as both analytics and automation software
  • The repo README is the clearest primary source because there does not appear to be a separate canonical docs portal or whitepaper

2) Packaging and deployment posture

Source: https://raw.githubusercontent.com/cryptosharks131/lndg/master/README.md

Selected excerpts from the README:

Easily install LNDg directly from popular platforms like Umbrel, Citadel, Start9, and RaspiBlitz.

The controller.py script manages backend database updates, automated rebalancing, HTLC stream data, and p2p trade secrets. Set it up to run persistently using systemd (recommended) or supervisord.

Additional signals from the source:

  • This is a strong clue that LNDg is intended as real operator infrastructure, not a hobby-only dashboard
  • The persistent controller process is especially important for categorization because it turns LNDg into an automation layer

3) Feature surface

Source: https://raw.githubusercontent.com/cryptosharks131/lndg/master/README.md

Selected excerpts from the README:

Track Peer Events

Watch Tower Management

Fee Rate Suggestions

New Peer Suggestions

Channel Performance Metrics

HTLC Failure Stream

API Backend

Peer Reconnection

Additional signals from the source:

  • The feature list shows a fairly broad operator control plane across monitoring, automation, and programmatic access
  • The mix of watchtower management, performance metrics, peer events, and APIs goes well beyond a status dashboard

4) Auto-fees and auto-rebalancer logic

Source: https://raw.githubusercontent.com/cryptosharks131/lndg/master/README.md

Selected excerpts from the README:

LNDg can automatically update channel fees based on performance suggestions.

Automatically manage channel liquidity to maintain outbound capacity on profitable routes.

AR-Autopilot: Set to 1 to automatically act on AR suggestions

Additional signals from the source:

  • These sections make clear that LNDg is opinionated operational software with built-in automation loops
  • The configurable thresholds, retry periods, and per-channel targeting logic show meaningful operational depth

5) Application stack clues

Source: https://raw.githubusercontent.com/cryptosharks131/lndg/master/requirements.txt

Selected excerpts from the requirements file:

Django djangorestframework grpcio pandas cryptography paramiko

Additional signals from the source:

  • The dependency mix supports the picture of LNDg as a full application and automation stack rather than a thin frontend
  • Django REST Framework and gRPC-related dependencies are especially useful signals for its backend-control-plane role

Notes

  • LNDg appears best cataloged as Lightning node-operations control plane / LND analytics-and-automation dashboard / liquidity and fee-management software.
  • No canonical standalone whitepaper or litepaper surfaced in this pass.
  • The most useful primary sources were the GitHub README and the requirements file.

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