Develop your own data-driven Lightning Network insight

Discover network-wide statistics on nodes, interactively explore node local networks, measure the impact of opening or closing a channel, and identify potentially profitable opportunities

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  • Automated channel simulations with fee and capacity recommendations to find optimal peers
  • Find optimal LightningNetwork+ swaps on-demand
  • Automated capacity-fee simulator runs on your peers
  • Measure the value of outbound liquidity to your peers
  • Get unlimited access to all LNnodeInsight tools

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Automated weekly channel simulation optimization report

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* Committed node variable filters will be activated the next time the optimization engine runs
* Can be updated at any time but new submissions override previous ones

Filter settings saved!


LightningNetwork+ swap optimization report


Outbound liquidity value report



Also see node stats on

Current ranks

Historical ranks and node liquidity distribution


Summary stats

Step 2: enter or select pubkey/alias of up to 3 nodes with which to simulate adding or removing channels

*Existing peers of the node selected in Step 1 will only appear if 'Remove' is selected

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Node centrality ranks

Previous run results


Capacity-Fee suggestion summary

Betweenness centrality

Betweeness centrality measures the number of shortest paths that pass through a node. A higher number of shortest paths a node has to any two other node in the network, the more likely they will be included in a route depending on the liquidity balance of each channel in the path.

Closeness/hopness centrality

Closeness/hopness centrality is a measure of how many hops it takes to reach any node on the network from a given node. The better the rank, the fewer the hops required to reach any and all nodes.

Eigenvector/hubness centrality

Eigenvector/hubness centrality measures influence of a given node in the network. Higher ranks imply a well-connected node that is linked to other well-connected nodes. A lower eigenvector centrality could also imply a new and/or underserved node in the network.

Maximum liquidity flow

Maximum flow is the highest amount of sats that can theoretically be pushed through a path if liquidity were 100% outbound. In reality, outbound across a path is likely 50% or less.

Passive rebalancing

This is a fee strategy that attempts to encourage higher liquidity volume and ideally bi-directional volume such that channel balances are passively maintained. The success of this strategy depends on multiple factors, and can often be difficult to achieve.

Active rebalancing

This is a fee strategy that typically observes less volume but recovers a higher proportion in fees that should cover the cost of rebalancing to maintain adequate channel balances.

Signing a message with your node's private keys

lnd

lncli signmessage "message to sign here"

c-lightning

lightning-cli signmessage "message to sign here"

eclair

eclair-cli signmessage --msg=$(echo -n 'message to sign here' | base64)

Ride The Lightning

Navigate to Lightning > Sign/Verify > Copy

Thunderhub

Navigate to Tools > Sign message > Copy

Outbound liquidity value

The value of outbound liquidity (i.e., your channel fees) is estimated by analysing the cost of potential payments in your node's neighborhood as well as to common payment destinations. Sustained volume at high fees imply high outbound value. High volume at relatively lower fees (i.e., lower percentile) suggests a given channel is underpriced, especially if liquidity moves in one direction only. Low volume at high fees suggests that a given channel may be overpriced. However, it may be worth maintaining higher fees at low volume depending on the size of a forwarded HTLC and the inbound & outbound channel pairs that forward the HTLC. Low volume at low fees suggests low demand through that channel. It may be worth considering reallocating liquidity elsewhere if low demand at low fees persists.