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.
Would love your feedback!
About Spott on Product Hunt
“Spott is the AI-native ATS & CRM for recruiting firms”
Spott launched on Product Hunt on March 16th, 2026 and earned 118 upvotes and 18 comments, placing #14 on the daily leaderboard. 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).
On the analytics side, Spott competes within Hiring, SaaS and Artificial Intelligence — topics that collectively have 522.9k followers on Product Hunt. The dashboard above tracks how Spott performed against the three products that launched closest to it on the same day.
Who hunted Spott?
Spott was hunted by Kevin Vandeputte. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Spott including community comment highlights and product details, visit the product overview.
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!