Uppply

Uppply

Using power of AI to make job opportunities more accessible!

125 followers

Introducing Uppply: Your personalized job search engine powered by cutting-edge LLM technology. Discover, track, and apply for thousands of active global job opportunities effortlessly. Join the future of job hunting today!
Uppply gallery image
Uppply gallery image
Uppply gallery image
Free
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
Promoted

What do you think? …

Ankush Malik
🚀 Hey ProductHunters! 🚀 Excited to introduce my latest project: Uppply! It's a candidate-first platform powered by LLMs, designed to tackle real-world job search challenges head-on. In our new release, we're putting the spotlight on accessibility in job hunting. Stay tuned for updates and enhancements! If you appreciate what Uppply is all about, I'd be immensely grateful for your support. Upvotes, reviews, and tips would mean a lot to me as a solo-maker. Your feedback on ProductHunt is invaluable! Thank you for joining me on this journey! 🙌
Ted Schaefer
@malikankush I'll give it a shot! I may or may not be on the market soon... 😬 Congrats on the (timely) launch 😅
Ankush Malik
Thank you @sixbangs :) All the best to you too!
Aris Nakos
💎 Pixel perfection
Congratulations on the launch! How did you determine levels ? Pros - Solid MVP that gets the ... job done ! - I see the important details right away on desktop (didn't try on mobile) Cons - Can be straining to the eyes - Nice to have location as a filter
Ankush Malik
Hey @aris_nakos, thanks for detailed review!! Levels were determined by parsing job description to extract YOE required for that job.
Ankush Malik
@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 :)
Yasec Kowalski
Congratulations on the launch of Uppply! The seamless experience you provide for discovering, tracking, and applying to thousands of global job opportunities is commendable. How does Uppply leverage LLM technology to ensure that job recommendations are highly accurate and relevant to each user's unique profile and preferences?
Ankush Malik
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 goyal
I think this is a phenomenal app for job seekers and the use of AI make it futuristic and targeted.
Ankush Malik
@himanshu_goyal18 Thank you !!
Aaliya Shah
Uppply seems like a game-changer in the job search world! Excited to try out its personalized approach powered by cutting-edge LLM technology.
Ankush Malik
Thank you @aaliya_shah for your kind words and checking out Uppply! ^_^
Rishab Sharma
Great product, i really like the minimal interface
Ankush Malik
Thank you @kraken2309, for checking out Uppply.
Anastasia Chakileva
Congrats on the Uppply launch! How does it personalize job recommendations for users, and what measures are in place to ensure a diverse range of job opportunities across different industries and experience levels?
Ankush Malik
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 : )
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