SOTA people search. Sourcing, outbound, and talent intelligence platform for recruiting.

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After launching our new people search model, we ran it across multiple benchmarks to see how it performed. Wrangle scored: 98.9% — Exa People Search R@10 91.1% — Exa People Search Precision 95.2% — PeopleSearchBench Overall 93.4% — PeopleSearchBench Recruiting
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Introducing Market Mapping in Wrangle. “Engineers building payments infrastructure at Stripe.” “Enterprise AEs who worked at Salesforce between 2018 and 2023.” Describe the experience you’re looking for. Map where top talent comes from in minutes.
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“We’ve switched from using different platforms for sourcing, enrichment, outbound, and inbox to doing it all on Wrangle” - Henry Xiao, Head of Talent at Judgment Labs Read the full case study: wrangle.ai/blogs/how-judgmen…
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The best talent often comes from a team's network, so we made it easier to make these intros. Now live in Wrangle: mint a magic link, and anyone in your org can enter their email, sign up in one click, and be brought to a specific network upload page. Then you can source across your full team's network, see who's connected to any given candidate, and request an intro.
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After launching our new people search model, we ran it across multiple benchmarks to see how it performed. Wrangle scored: 98.9% — Exa People Search R@10 91.1% — Exa People Search Precision 95.2% — PeopleSearchBench Overall 93.4% — PeopleSearchBench Recruiting
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Your edge as a recruiter comes down to your expertise. Wrangle now remembers the preferences, decisions, and context you build across Search and Agents, and carries them forward into future work. The more context you give Wrangle, the more it adapts to how your team hires.
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When you share a collection, your teammates can now review candidates and leave feedback. Their input is automatically added to the Project as context, so your team can source together more seamlessly.
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Sourcing gets a lot easier when everyone has the same context. Projects give your team one shared place to work on a role together, with every search, collection, sequence, and agent connected from the start.
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Very good progress, 8.9% to go
All @_wrangle search models are SOTA on people-search. 89.29%, 89.81%, and 91.10% respectively on Precision. For reference, Exa self-reports 63.3%. github.com/exa-labs/benchmar… github.com/exa-labs/benchmar…
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