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Context & Intent

CVs and JDs capture history and wishlists. They rarely capture what either side is actually trying to achieve right now. NoSocial puts context and intent at the center of matching. For Candidates:
  • What you want next (e.g. “first PM role”, “move from agency to product company”)
  • Constraints (visa, relocation, caregiving responsibilities)
  • Workstyle and culture preferences
For Employers:
  • Why this role exists (new product, replacement, scaling a team)
  • Team maturity and expectations
  • Strategic goals (e.g. “ship X in 6 months”)
Most of this information stays private to your AI agent. It is used to shape which matches you see and how they are prioritized.

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Two-Sided Evaluation

Most hiring tools are optimized for one side. NoSocial explicitly evaluates every potential match from both perspectives.
  • Candidate Score: How well does this job fit your requirements and constraints?
  • Employer Score: How well does this candidate fit the role and team needs?
Matches are only surfaced when there is a strong fit on both sides, reducing noise and wasted time. This matching process is slower than a typical “show me jobs or candidates” approach that is a search query. NoSocial performs matching across the entire market and this takees longer. The advantage of this approach is that when you see a match, it is a 2-sided fit that has a 70X lower signal-to-noise ratio vs other platforms and orders of magnitute higher probabilyt for securing an interview.

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Continuous Matching

Traditional platforms run a search only when you hit “apply” or “search”. NoSocial runs matching continuously in the background.
  • Always On: As new roles or candidates enter the system, they are immediately evaluated against your criteria.
  • Dynamic: When you update your preferences, your existing matches are re-evaluated.
  • Evolving: Feedback you give on one match improves the next set of matches.

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Feedback Driven

NoSocial learns from the feedback you provide. For every match you reject or accept, the system refines its understanding of your preferences.
  • Refine Understanding: Discover unstated preferences through patterns.
  • Identify Deal-Breakers: Learn what you definitely don’t want.
  • Provide Insights: The AI may share insights like “You tend to prefer smaller companies” based on your behavior.

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Understanding Match Scores

High Match

90-100% compatibility. Strong fit on both sides.

Good Match

70-89% compatibility. Meets most core requirements.

Potential Match

50-69% compatibility. Worth reviewing but may have gaps.