This is a small research project that can determine which resources work best for job searches and help me find new job

• The competition among developers is quite big and the candidate must be something different, as I thought such a project could attract attention

• I was curious to try embedding api from OpenAI

• I will be able to see and share with other applicants which job search resources work best

• I do not need to send my cv's

1. I create redis index and populate it with 2 embeddings "backend developer" and "product manager" (if you didn't get any resume just enter one of those)

2. Each time user enters desired position on the website I send request to OpenAI, calculate embedding for it and calculate cosine similarity between each embedding in index and one that was entered

3. I get most similar embedding from known embeddings and if similarity is more than 85% users get's my cv, otherwise not

• I store the fact of querying API and utm_params (if any)

• I keep the text of user entered position and the similarity score (no utm's or ip)

• Downloads for each cv with utm's (so I can evaluate conversions)

• For the website analytics I use simple analytics

View analytics dashboard

Since I am looking for a job as a product manager, I couldn't do without the analytics dashboard

Analytics consists of two tabs

• Web analytics (taken from simple analytics API)
• App analytics (taken from data collected from my API)