InstantFit
InstantFit reads new job listings against a candidate's real experience and says, with reasons, which ones are worth an application.
Why it exists
Job hunting rewards volume, so people apply in volume, and most of that effort is spent on listings that were never going to fit. The role that looked close from its title turns out to want five years of something the candidate has never touched. The mismatch is usually there in the text, visible to anyone who reads the whole posting carefully. Nobody reads the fortieth posting carefully.
What it does
InstantFit scores every new listing against the candidate's CV, from 0 to 100, and puts the ones worth their time first. Each score arrives with a plain explanation of what matches and which skills are missing, so the number is an argument the candidate can check rather than a verdict they have to trust. Scanning runs on its own schedule. The application itself stays with the person: InstantFit never submits anything to an employer on anyone's behalf, and that boundary is deliberate.
Who it is for
People applying for work in the international market, in English, who are looking at far more listings than anyone can honestly read. It is the opposite of a tool for applying faster.
MOMENTUM's part in it
We built InstantFit and we run it. Like ContentOS, it is ours rather than a client's, which means we carry the parts nobody sees: the scoring that has to be explainable, the listings that arrive malformed, and the pressure to add the one feature that would make the product dishonest. Deciding against that repeatedly is most of what running a product teaches, and it is the part that transfers to the work we do for other businesses.