who-is-hiring
jsonresume.org
| who-is-hiring | jsonresume.org | |
|---|---|---|
| 2 | 2 | |
| 2 | 29 | |
| - | - | |
| 7.2 | 9.1 | |
| 21 days ago | about 9 hours ago | |
| Python | JavaScript | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
who-is-hiring
-
Show HN: Tech Jobs on the Command Line
- you don't need logic for parsing multiple pages
Have a look at code I wrote on this: https://github.com/hughdbrown/who-is-hiring
Here is the code to get a month of Who Is Hiring posts?
-
Show HN: A Who is Hiring app with AI filters – January 2024 update
I have a similar-but-hacky command-line app that I put together to find just Rust positions:
https://github.com/hughdbrown/who-is-hiring
It's built to be pretty fast by not pulling data it does not need. Since it operates in multiple passes on stored data, it would be easy to modify/add a pass to get what you want. Feel free to use parts you like.
A couple of things I think would help:
- sorted attributes (too hard to go through a hundred computer technologies to find Rust)
- multiple geographic entries for the same name (multiple entries for Germany, USA, UK, Europe)
- ability to select a month
- if you are showing a static pull of the data, the ability to refresh some month would be helpful
jsonresume.org
-
Show HN: Tech Jobs on the Command Line
I'm not exactly sure what you mean by direct inference?
Do you mean that you pass the resume and job posting to the initial GPT prompt? and rely on the returned "fit_for_resume" property?
If so I didn't try that. And thinking about it, I like your style. (There's no reason why you couldn't do both anyway)
Here is the prompt/call I used for GPT'ing the HN posts -> https://github.com/jsonresume/jsonresume.org/blob/master/app...
As for the distance of the vector similarity search. I am just using Supabase's pg_vector plugin support, with 3704 dimensions using the default search (cosine).