Spott is the AI-native ATS & CRM for recruiting firms
Spott is the AI-native ATS/CRM built for staffing and recruiting firms to manage candidates, automate workflows, and close placements faster. AI at the core, not bolted on. Match candidates by context, not keywords. Auto-enrich profiles. Generate candidate presentations in seconds. One platform replacing your entire stack: outreach, note-taking, analytics, scheduling, and more. Connected to mail, WhatsApp, LinkedIn, calendar, and VOIP. Backed by Y Combinator (W25).
Spott started with three friends: Manu, Lander, and Samuel. They met eight years ago studying business engineering at KU Leuven, all ended up in management consulting (McKinsey, BCG, and Bain), and all independently rotated through projects at staffing and recruiting agencies across Europe, the UK, and the Middle East.
They each saw the same thing: recruiters spending half their day logging activities instead of making placements. ATS systems that stored data but never did anything with it. When they started comparing notes, they realized they'd all arrived at the same frustration and the same idea.
Their first instinct was the sensible one: add AI on top of existing platforms like Bullhorn and Salesforce. It didn't work. You can bolt a chatbot onto a relational database, but you can't make it truly understand context. So they made the harder choice. Quit their jobs. Start from zero.
They applied to Y Combinator with a candidate report writer. By demo day, they'd pivoted to a full AI-native ATS built on a vectorized database that understands the meaning of everything stored in it, not just keywords. 60 investor meetings later, they raised $3.2M led by Base10 Partners.
Today Spott is used by recruiting firms across every continent. We're building toward a platform that handles the bulk of recruitment workflows autonomously, so recruiters can focus on what actually requires human judgment: relationships, negotiation, and knowing whether someone will thrive in a role.
Kevin Vandeputte
Hey Product Hunt! Kevin here from the Spott team.
Spott started with three friends: Manu, Lander, and Samuel. They met eight years ago studying business engineering at KU Leuven, all ended up in management consulting (McKinsey, BCG, and Bain), and all independently rotated through projects at staffing and recruiting agencies across Europe, the UK, and the Middle East.
They each saw the same thing: recruiters spending half their day logging activities instead of making placements. ATS systems that stored data but never did anything with it. When they started comparing notes, they realized they'd all arrived at the same frustration and the same idea.
Their first instinct was the sensible one: add AI on top of existing platforms like Bullhorn and Salesforce. It didn't work. You can bolt a chatbot onto a relational database, but you can't make it truly understand context. So they made the harder choice. Quit their jobs. Start from zero.
They applied to Y Combinator with a candidate report writer. By demo day, they'd pivoted to a full AI-native ATS built on a vectorized database that understands the meaning of everything stored in it, not just keywords. 60 investor meetings later, they raised $3.2M led by Base10 Partners.
Today Spott is used by recruiting firms across every continent. We're building toward a platform that handles the bulk of recruitment workflows autonomously, so recruiters can focus on what actually requires human judgment: relationships, negotiation, and knowing whether someone will thrive in a role.
Would love your feedback!