Headstart uses Machine Learning to help companies decide on who to…

Headstart (YC S17) uses Machine Learning technology to help employers identify the best-suited talent in the shortest period of time. We provide leading organisations with a solution designed to help them transition away from experience/qualification based screening and towards a more inclusive and effective process which considers personality, behaviours, strengths and motivations. In doing so, Headstart helps companies hire people truly aligned to their values, culture and exact job requirements in a seamless, engaging way. The Headstart process is simple and effective: companies save time and money by finding candidates who meet their exact job requirements at an earlier stage, and job seekers connect directly with businesses through an engaging, reusable 15 minute application form. We ensure a transparent process and initiate productive dialogue, making candidates feel valued and helping companies hire the right people.

machine-learningrecruiting

Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies