Hi I am making a new agency for developing a portfolio of niche saas products. My ideal is to split all profits accordingly:50% goes to buying (read: freeing) up forrest land.50% is split between all devs on the individual products.My questions are (and here only regarding the 50% not going to forrests)1. How to split the profit amongst devs in a fair way?1.a. Should it reflect their level of...
I thought it could be a fun exercise to see how easy it is now-a-days to setup a subscription paid api "without pulling up my credit card from the pocket"
so here is the steps i took:
1. setup a free api using cloudflare workers:
I started by creating the api on cloudflare workers since they are by far the cheepest and their fremium model makes it possibly to publish an api without a credit card.
Key learnings for me was:
* env vars can be created in the UI and then they get injected as vars in your js script.
* use the url.pathname to have multiple paths in one api
* Use custom headers from your apigateway provider to only respond to those requests.
The sourcecode for the cloudflare worker is here https://github.com/sloev/spotiflite/blob/master/cloudflare/w...
2. use rapidapi.com as api gateway
After i had created my api i needed a place to publish it and "receive moneyz cuz lulz" so i choose rapidapi cuz they dont need any credit cards either and have a simple way to setup.
With rapidapi i created an endpoint pointing to my new api with my new path: "artist-meta" and then i specified some ~random~ price ranges include a free option and pressed publish.
All in all, publishing an api and get moneyz for requests is more easy now than ever.
source code: https://github.com/sloev/spotiflite
install: $ pip install spotiflite
run: $ spotiflite scrape
Since i didnt know how to update the old one with the timelapse video that i think shows the diversity of the algorithm
Debug frame showing the particles that draw: https://vrangen.net/fuzzy/static/images/debug.jpg
Stopmotion of 3 months of drawings in full hd: https://youtu.be/7xoZ3aDwPk4
Source code: http://github.com/sloev/face_experiments
My contact info is at
sloev.github.io (about)
Each particle class is defined with a color in the debug.jpg image
A python program continously draws 22 different faces over each other.
All faces are aligned at the eyes.
The drawing particles have three different behaviors:
1. Move randomly
2. Move randomly with 45 degree angles
3. Move randomly but attracted to the firstborn particle and afraid of being near the average position of all particles.
Go to
https://vrangen.net/fuzzy/static/images/debug.jpg
for a picture of the particles in action
Sourcecode available at
I spend some time looking for a tool (2 hours on github/google) and simply couldn't find a tool that:
* tracked cpu/memory usage for a process AND its children
* let me annotate scopes (using a context manager) in code to know later how much was used (cpu/memory) in that scope
* provided a nice HTML output with interactive charts and downloadable images
* low amount of dependencies
.
so i made Metrace. It does those things and ONLY those things.
it
* appends all info to a json lines file for easy interpretation (slow i know, but simple ;-)
* uses plotly to generate nice cpu and memory charts where individual processes have their own line charts (within the figure) and the traces (reported using the context manager) are correctly associated to the processes
It is brutally implemented, I needed the tool asap, but i will invest some time in increasing code quality soon (20 percent time).
.
similar things that didnt feel they met my demands:
* memory-profiler
* netdata
* name your tool, i probably tried it :-)
emailbin.org is running on elasticsearch with a hideous frontend of pure raw html hahaha
usecases:
* email signups
* posting of email threads to government
* your ideas
it is and will always be a free place to lay your emails to rest :-)
