Paste multiple GitHub profiles at once. Produces individual assessments plus a ranked outreach priority list. Replaces 2–3 hours of manual profile review per sourcing sprint.

Takes candidate intelligence and role context, generates a personalized first message referencing specific signals from their work. Specificity at scale — without sacrificing the quality that drives 90% response rates.

Analyzes a company's engineering team before the kickoff call. Walk in knowing what they have, what's missing, and what the next three hires should probably be.

Synthesizes market signals into a structured comp brief with reasoning — what the candidate will compare against, how to frame equity, and how to position the offer.

Paste an event attendee or RSVP list from Luma. Produces a talent map of who attended, what they work on, and which profiles are worth pursuing — turning a conference list into a sourcing pipeline in under an hour.

Speaker lists are the highest-signal sourcing data available — community-validated experts. Paste a speaker list and role context, get assessments of who's relevant and how to approach them credibly.

Treats rejected candidates as signal, not dead ends. Finds where searches stall, surfaces re-engagement opportunities, and separates sourcing problems from evaluation problems.

Maps the talent network in a specific technical community from seed accounts and topics. Surfaces non-obvious people who are intellectually active but not yet on everyone's radar.

Sources candidates across the entire internet — GitHub, forums, research papers, Discord communities, conference attendee lists, X/Twitter, personal sites. Describe who you need and get a prioritized sourcing map with specific URLs, search strings, Boolean queries, and a 48-hour sprint plan.

Paste your Anthropic API key once. It saves locally in your browser and is never sent anywhere except directly to the Anthropic API. No backend, no storage on any server.