bretton bretton
WIP
Lets say a user wants to spin up a node with 0.1 btc, open a few channels, and generate routing fees.
How do they calculate a risk/reward ratio (RR) that makes economic sense?
What else can they do to improve the calculation, such as compartmentalising risk into discrete chunks which can be evaluated independently?
| query GetMagmaOffers { | |
| getOffers { | |
| list { | |
| account | |
| amboss_fee_rate | |
| base_fee | |
| base_fee_cap | |
| fee_rate | |
| fee_rate_cap | |
| id |
If you make use of Bluewallet and wish to use someone's LNDhub to connect to, the following providers can assist:
There is also a Go implemention of LNDhub behind
- Limit of 2 minted per wallet. Transfer out to mint more.
- No limit to number that can be staked afaik.
- Staked Washingtons get unstable dollars per day.
WIP, been a slow minting after launch. Seems like most high volume NFT launches involve buying their own tokens and artificial hype.
| <?php | |
| // original script from https://www.cyberciti.biz/tips/change-linux-or-unix-system-password-using-php-script.html | |
| // adapted by Bretton 2020-09-22 | |
| // | |
| // Requirements | |
| // 1. webserver with https and php enabled | |
| // 2. make sure you run visudo first and ensure it has | |
| // | |
| // www-data ALL=(ALL) NOPASSWD: /usr/bin/smbpasswd | |
| // |
| #!/usr/bin/python3 | |
| # coding=utf-8 | |
| # | |
| # Dev Log | |
| # how-many-days-over-10k.py | |
| # ======= | |
| # 2019-08-02 - https://twitter.com/cz_binance/status/1157075839495761920 | |
| # # "Slap yourself, | |
| # # if you sold $BTC under $10,000." | |
| # 2020-07-18 - setup script to pull data from Bitmex UDF and create candles and highlights |
| #!/usr/bin/python3 | |
| # coding=utf-8 | |
| # | |
| # Dev Log | |
| # bitmex-plotinit-plotly.py | |
| # ======= | |
| # 2020-07-19 - setup script to pull data from Bitmex UDF and create candles and highlights | |
| # - intent is for a base script I can re-run to highlight specific things | |
| # 2020-08-08 - switching to a different chart library | |
| # |
This is a curated set of animated music videos, from a 6 week journey, of one a day, two on saturdays. This is the playlist which includes vimeo links that aren't in the youtube playlist.
Over 9-22 December 2019 I did a daily run of 2-3 old school tracks for this Sounds of Stereophoenix electronic music appreciation group.
About 5 years ago I'd spent 4 months cataloguing what others had posted. ~10 tracks listened to, logged, per day.
Over the last year I've been submitting a couple tracks a day, squaring youtube & soundcloud AIs against each other in a sense.
The following was my holiday project, and shows my age. Purpose was to find cool stuff, not just the latest flashy novelty.
This is a subset of a larger collection for the project, specifically the tracks I shared with the group in the same order.