Jesse launches live-web sales search engine
Floworks has launched Jesse, an AI-powered search engine that scans the live web in real-time to discover fresh sales leads and track buyer intent signals. Rejecting traditional static databases, the platform uses natural language queries to identify prospects and provides contextual evidence for every match.
Jesse is a direct challenge to ZoomInfo, Apollo, and Clay, betting that real-time agentic web scraping will render multi-billion dollar static databases obsolete. While the promise of "live internet" searching eliminates stale data, its success hinges on its ability to bypass web scraping defenses, handle search latency, and maintain high accuracy at scale without returning noisy results.
- –**The Stale Data Problem**: By bypassing static lists, Jesse solves the primary frustration of sales reps—high bounce rates and outdated contact info.
- –**Natural Language Capabilities**: The ability to express intent-based triggers in plain English makes complex prospect targeting accessible without SQL or advanced filtering skills.
- –**Evidence-Backed Leads**: Providing the source signals and web links for each lead adds a layer of transparency and trust missing from black-box lead databases.
- –**Integration Ecosystem**: Launching with support for CSV export and n8n integrations for HubSpot and Salesforce ensures it fits into existing sales workflows, though native CRM integrations will be critical for mass adoption.
DISCOVERED
2h ago
2026-06-18
PUBLISHED
8h ago
2026-06-18
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