Rekvo Blog
Practical guides on AI recruiting, job description templates, interview questions, and ATS comparisons — for teams that are growing fast.
Comparing the top applicant tracking systems for UK startups — what they actually cost, which ones are genuinely GDPR-ready, and which makes sense for a London or Manchester team hiring under 100 people.
A ready-to-use PM job description template for startups — with required skills, what to cut, compensation guidance, and how to filter out the wrong candidates before the first call.
The hiring reality for Dubai and Abu Dhabi tech startups — what the UAE ATS market actually looks like, why most companies still use spreadsheets, and which tools are genuinely worth using.
Workable is the most-used ATS for SMEs. Rekvo is built around AI-first candidate matching. This is an honest side-by-side of what each does well, what each gets wrong, and which one your team should use.
What IR35 actually means for UK startups hiring contractors, how to determine status correctly, what changes in your hiring process, and how to avoid the mistakes that trigger HMRC investigations.
30 PM interview questions covering product sense, execution, strategy, metrics, and stakeholder management — with guidance on what a strong answer looks like for each.
Why most engineering JDs repel the candidates you actually want — and the specific changes that make senior engineers apply instead of scrolling past.
Workable vs Greenhouse vs Lever vs Rekvo — what each costs, who it's really built for, and which ATS growing teams should actually use in 2026.
A ready-to-use job description template for hiring senior backend engineers — with must-have requirements, nice-to-haves, compensation guidance, and tips for attracting strong candidates.
What AI candidate screening actually does, how to use it to screen 100 CVs in under 5 minutes, and what it still can't replace.
The questions to ask Python candidates at each seniority level — core language, data structures, async, system design, and what a strong answer looks like for each.
Why growing teams leave Greenhouse — and five alternatives that are faster to set up, easier to use, and a fraction of the cost.
RAG (Retrieval-Augmented Generation) is the technology behind AI recruiting tools that actually understand your candidates. Here's how it works — in plain English.
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