We have just shipped Torq version 0.4. Check it out here: https://github.com/lncapital/torq#run-with-docker.
With Torq you can changes to a channel policy such as the fee rate, HTLC limits or when a channel was enabled/disabled. You can also see how your node has performed over time and how balanced a channel has been during any given timeframe.
Torq subscribes to all type of events that you cannot get back in time, so by installing it you will build up a valuable database of events.
Hope you like it and we would love your feedback on it. Join our telegram channel here if you need help installing it or have questions: https://ln.capital/telegram
Dashboard:
Channel View
Events:
Sources and destinations
It looks cool - thats it - I must have it! i'll check out the Telegram group so i can use it in Umbrel.
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Runs on umbrel?
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you can easily run it with Docker, so works well with Umbrel (although it is not in the Umbrel store yet). I can help you set it up on Umbrel, just reach out on telegram (ln.capital/telegram) or twitter (http://twitter.com/LN_Capital)
By giving it 10000 sat boost, you scream "This is a commercial ad". Everything fine with that, just please be mindful of the culture here. Good luck, @lncapital!
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boosting goes to the users so you kinda getting paid to watch the ad if thats the case. its revolutionary
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oh. I did not think about that, thank you for letting me know :)
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In that case (^^), thank you sir! :-)
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This project is open source, no? Albeit, it does likely have a business model behind it.
And it's a super relevant project.
Lots of different incentives to post on SN.
I think it's cool and okay. At least, by me.
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Torq is open source (MIT license), there is a long term business model for LN Capital (the company) for related services, for example a SaaS version. We believe an open source project backed by a business ensures a well developed and maintained project.
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It uses a Timescale DB. That's so cool. I remember asking them if they planned to add any features for storing gossip messages.
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I love TimescaleDB it makes working with time series data like this much easier.
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⚡️
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Oh interesting. I love sankeys!
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Sankeys are really cool, the flow diagram is a sort of customised diagram I built to show the inbound vs outbound traffic for a channel based on a bar chart. I hope to use Sankeys some more for visualising stuff like aggregated data on payment attempts etc.
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This is looking awesome!!
Can I run this on a node that I have on a raspberry pi 4? or would it not have enough resources?