Stardex

Stardex is clearly designed for recruitment firms that live and die by the quality of their database. If you're an executive search firm placing senior leaders, the AI search across notes and emails is genuinely useful — it surfaces candidates you'd forgotten about, saving hours of manual digging. The AI auto-tagging and summary generation further reduce administrative overhead. We'd reach for this when you have a deep candidate history and need to find needles in the haystack quickly. Where it falls short is for larger enterprise HR departments that need a full HCM suite or for in-house corporate recruiting teams with simpler workflows. Stardex is laser-focused on recruitment agencies, so if you need payroll, onboarding, or performance management, look elsewhere. Also, very small teams (1-2 people) on a tight budget may find the $79/user/month starter price steep compared to simpler tools. Compared to alternatives like Lever or Greenhouse, Stardex is more AI-native but less mature in integrations and ecosystem. Its integrations are limited to a handful of tools, though it does connect with Claude and ChatGPT for agent workflows. The lack of a free trial (only a refundable first month) means you have to commit upfront, which could be a barrier. On the plus side, the founder-led support via Slack is responsive, and the team ships new features weekly. In practice, the AI search works well, but the accuracy of auto-tagging depends on your data quality. The platform is keyboard-first with sub-200 ms search latency, which power users will appreciate. If you're a boutique agency that values speed and AI automation over ecosystem breadth, Stardex is worth a serious look.