I attended the annual Shesharp hackathon, and this year, the theme was job searching. We all had access to a jobs API by Sourcestack, a sponsor, and a little under 24 hours.
Over 8 hours, my lovely team (Nui Suriya, Tessa Clement, and I) built a little app called Pros before Bros.
We often hear the stat: women tend to apply to jobs only when they meet all the qualifications, while men will apply if they only meet 60%.
The answer is often, strangely: women, get over your impostor syndrome, and apply!
But why should minoritized applicants have to do all the work? We decided to flip the script a bit, and we made a website that helps companies write more accurate, concise, and inclusive job posts.
How it works
- Keyword analysis
We use the SourceStack API to get the keywords it’s identified from the posting. If there are more than 3 skills mentioned, we suggest removing the ones that are not needed for the job.
- AI to the rescue
Then, we use ChatGPT to compare the job requirements to the description of duties and verify they really match; and to come up with a more concise list, stripping out the fluff. We present this suggestion back to the user.
- Learn more
Finally, we send the user to an /about page, to learn more about making their job postings more attractive to a diverse range of applicants.
What I struggled with
Yo, there are like 8 different ways to implement Nextjs routing, and passing a bit of data between routes becomes weirdly difficult. But it remains a wonderful platform.
- ChatGPT (openai npm package)
- Vercel deployment