Uppply

@malikankush I'll give it a shot! I may or may not be on the market soon... 😬 Congrats on the (timely) launch 😅

Thank you @sixbangs :) All the best to you too!

Hey @aris_nakos, thanks for detailed review!! Levels were determined by parsing job description to extract YOE required for that job.

@aris_nakos btw Uppply also have a dark theme for loggedin users. https://ibb.co/c8KdHGx But i agree thin-font can still be straining to the eyes. thanks again for the feedback :)

Hey @yasec_kowalski thank you so much for your kind words. As of today, Uppply does not recommend jobs to users. Uppply leverage LLM for parsing jobs and making them more searchable by their domain, techstack, job level, etc. Uppply also helps in saving jobSeeker time by converting bigger/longer job description into a crispy small "key requirements" and "about company" saving candidates time in surfing jobs : )

@himanshu_goyal18 Thank you !!

Thank you @aaliya_shah for your kind words and checking out Uppply! ^_^

Thank you @kraken2309, for checking out Uppply.

Hi @anastasia_chakileva_ thanks for checking out Uppply! At the moment, Uppply does NOT provide job recommendations to users. Instead, users have the freedom to search for any job they're interested in. I already have more than 125k+ jobs in my pipeline. But right now my focus was not to make a huge jobs dataset. Instead I wanted to make existing 85k+ jobs more accessible to users by making them more "searchable" by their attributes(level, domain, etc). While building Uppply, I realized that the challenge is not that "jobs are not present",... problem is that "jobs are present but user are not able to discover them". Perhaps in the future, I'll consider implementing job recommendations to user based on their candidate profiles : )