Hiring strategies, product updates, and engineering insights.
A practical guide to writing job descriptions that convert: ideal word count, salary transparency data, bias-free language, and SEO markup for startup hiring.
Design take-home coding tests that predict job performance without alienating top talent. A practical framework for time limits, rubrics, and evaluation.
Most ATS platforms lose 57% of applicants at the login screen. Kit uses magic links instead of passwords, cutting candidate friction to zero. Here's the data behind that decision.
How to hire a product designer: role definitions, portfolio evaluation in the age of AI, structured interview loops, sourcing channels, and 2026 compensation benchmarks.
The 7 most expensive startup hiring mistakes and how to fix them. Data-backed tactics and concrete fixes for founders making their first 10 hires.
MCP lets AI assistants like Claude manage your recruiting pipeline with natural language. Learn how this open protocol works and why native ATS support matters.
An AI-native ATS uses artificial intelligence as its core architecture, not a bolt-on. Learn how it differs from legacy systems and what to evaluate.
A data-backed playbook for hiring backend engineers: job descriptions, technical assessments, sourcing passive candidates, and closing offers in 2026.