hh.ru
Работа в Москве, поиск персонала и публикация вакансий
hh.ru launched on September 9, 2024 with 7 votes, #1,891 of 5,281 launches that month. The site was still online in September 2026, 2 years on.
What it does
hh.ru — сервис, который помогает найти работу и подобрать персонал в Москве более 20 лет! Создавайте резюме и откликайтесь на вакансии. Набирайте сотрудников и публикуйте вакансии.
Does a similar job
all alternatives →- HHHistorical HN Hiring Data2023 · hnhiringtrends.com · ▲146
Hi HN! A few days ago I saw a graph[0] that showed the # of job postings on HN was declining. I started wondering what other trends I could glean from the data, so I created this! You can filter through the top level comments by keyword; for example you can filter by "remote" to see the massive spike around March 2020. Another interesting thing I found is that I can compare hiring across cities. I hope you enjoy! I made it so that the links to your search are sharable so if you have some interesting data you should be able to just link the page you're on! [0]…
Transforming "Who's Hiring? (November 2023)" Posts into a Google Sheet2023 · docs.google.com · ▲27Hello HN Community! I've transformed the "Ask HN: Who's hiring? (November 2023)" post into a Google Sheet. Here's a quick rundown of the method: I utilized the Hacker News Algolia Search API to extract data. You can find the specific thread URL here: https://hn.algolia.com/api/v1/search_by_date?tags=comment,st... Using a GET request, I fetched comments from the thread and processed them via the ChatGPT API. Employing the ChatGPT API for each comment, I parsed crucial job details such as company, position, location, and more. This information was structured and…
- IUI used an LLM to parse HN Who's Hiring comments to structured job data2024 · hnjobsai.vercel.app · ▲16
Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
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