Amboss on Nostr: Payment reliability is the most important metric for the Lightning Network as a ...
Payment reliability is the most important metric for the Lightning Network as a payment system.
We teamed up with @HelloStillmark to deliver research that leverages machine learning to bring enterprise payment reliability to the Lightning Network.
Our New Research: "Channel Balance Interpolation in the Lightning Network via Machine Learning" decimates the tired and risky approach of probing to find a reliable payment route.
Combining crowdsourced data and machine learning means reliable payments on LN with less spam.
We're applying this methodology to a new pathfinding-as-a-service feature that is showing extremely promising early results.
We're looking for exchanges, rewards programs, or play-to-earn with high outbound payment volume to put our pathfinding service to a real-world test.
To learn more about our research or to join us as part of our payment operations solution, be sure to visit:
https://rpo.dev/pathfinding This research would not be possible without our collaborators:
@HelloStillmark
@vsingh_5
@emaros96
And peer reviewers:
@renepickhardt
Dr. Christian Kummerle
@alexbosworth
Published at
2024-05-22 16:40:22Event JSON
{
"id": "320fcf3d6171c11cc61e182af07f07fcd544156ca934368a2bdfaee9536ffbf4",
"pubkey": "2af01e0d6bd1b9fbb9e3d43157d64590fb27dcfbcabe28784a5832e17befb87b",
"created_at": 1716396022,
"kind": 1,
"tags": [
[
"r",
"https://image.nostr.build/eb902d21c5e5831719b9d46ec4340a598fc3f8ec58e7bc60367afbc25349ea54.jpg"
],
[
"r",
"https://rpo.dev/pathfinding"
],
[
"imeta",
"url https://image.nostr.build/eb902d21c5e5831719b9d46ec4340a598fc3f8ec58e7bc60367afbc25349ea54.jpg",
"m image/jpeg",
"alt Verifiable file url",
"x ef0f0d5e182e50238c45ba41a134b0cab04a424a545c5f53075db276ea946010",
"size 197639",
"dim 1792x1024",
"blurhash i88yV%S#0^i^$$ohI.s:-CsCJ5NZ$l$+a#NZWUj[0v#;}uOXI;R$xaoLNGFt,]xGAANGxH$+bHWB-WNZEew|$+s=NFNYt6",
"ox eb902d21c5e5831719b9d46ec4340a598fc3f8ec58e7bc60367afbc25349ea54"
]
],
"content": "Payment reliability is the most important metric for the Lightning Network as a payment system.\n\nWe teamed up with @HelloStillmark to deliver research that leverages machine learning to bring enterprise payment reliability to the Lightning Network. \n https://image.nostr.build/eb902d21c5e5831719b9d46ec4340a598fc3f8ec58e7bc60367afbc25349ea54.jpg\n\nOur New Research: \"Channel Balance Interpolation in the Lightning Network via Machine Learning\" decimates the tired and risky approach of probing to find a reliable payment route.\n\nCombining crowdsourced data and machine learning means reliable payments on LN with less spam.\n\nWe're applying this methodology to a new pathfinding-as-a-service feature that is showing extremely promising early results.\n\nWe're looking for exchanges, rewards programs, or play-to-earn with high outbound payment volume to put our pathfinding service to a real-world test.\n\nTo learn more about our research or to join us as part of our payment operations solution, be sure to visit: https://rpo.dev/pathfinding \n\nThis research would not be possible without our collaborators:\n@HelloStillmark\n@vsingh_5\n@emaros96\n\nAnd peer reviewers:\n@renepickhardt\nDr. Christian Kummerle\n@alexbosworth",
"sig": "fe350f7e383a75fbb615da0594c60ecae187b8450aadd457abacf154db3feb6f188d01410f39abd29b7282f3f8c0bc35f0dfb41ac51261c183bef6ea4f3d66f1"
}