Lever
Workable
Greenhouse
Breezy.hr
Jobvite
LinkedIn Recruiter
Recruitee
SmartRecruiters
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Lever PythonLever is particularly recommended for mid-sized to large organizations that value collaboration across teams and want to leverage data-driven insights to improve their recruitment strategy. It is also suitable for companies that need an easily scalable solution with comprehensive integration capabilities.
Based on our record, Python seems to be a lot more popular than Lever. While we know about 299 links to Python, we've tracked only 7 mentions of Lever. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In the US, even just looking at indeed and filtering out the scam ones there's tons of applications I can send out each day for companies I've never heard of before. Other than that try to find alternative job boards, handshake or even something like a google query like the following: site:http://lever.co/ | site:http://greenhouse.io/ | site:http://app.dover.io/ | site:http://jobs.ashbyhq.com/ (developer |... Source: almost 3 years ago
Awesome! Thanks for the advice. I'd never heard of greenhouse.io or lever.co but I'll def check them out. Source: about 3 years ago
Correct, the field is marked as required and I can't progress if it's blank. I see this all the time on sites like lever.co . Source: about 3 years ago
God I love Lever so much. Whoever made Lever doesn't know just how much I appreciate them, fighting against those cursed portals like Workday, ICIMS, and Brassring to make the grueling application process so much more bearable just by being simple and friendly. Every time I see an internship application direct to a lever.co site, I have a small celebration in my brain. Thank you Lever. Source: about 3 years ago
Basically the title. If I'm going to apply for google, microsoft, etc. I would totally go through the process and fill out the application form. But sometimes I just randomly want to pass my CV and see what sticks. In that case, I just want to limit myself to companies that only need a CV and have a one-click submission process like lever.co. Source: over 3 years ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Workable - Hire better with Workable. Post to the top job boards and enjoy a simple, intuitive applicant tracking system, made for teams. Start a free trial today.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Greenhouse - Greenhouse Software makes companies great at hiring.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Breezy.hr - A Modern Hiring Tool for the Entire Team. A uniquely simple, visual hiring tool you and your team will love.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
