MemoryLake
Recruiting & HRsource channel memory for recruiting teams

Give Recruiting Teams Source Channel Memory That Reveals What Actually Works

Recruiting source channels — LinkedIn, referrals, job boards, niche communities — perform differently per role and per time. AI sourcing tools see one search at a time. MemoryLake gives recruiting teams source channel memory across roles, years, and outcomes.

Day 1“Recruiting source channels — LinkedIn, referrals, job”“boards, niche communities — perform differently per role an…”✓ Got it, I will remember.Day 7 — new session“Same task again — can you keep the context?”× Sure — what was the context again?(forgot every detail you taught it)+ MEMORYLAKE LAYERMemory auto-loadedPer-channel reflection memoryPer-role-type source effectivenessEvent memory of source outcomesSESSION OUTPUT✓ Same prompt, on-brand answerNo re-briefing required.

Give Recruiting Teams Source Channel Memory That Reveals What Actually Works

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The problem: source channel performance opacity costs the team

You're hiring a senior backend engineer. Three months ago you hired a similar role. Which channel produced the hire? Which produced quality conversations? Which wasted time? The data lives in ATS columns nobody analyzes between hires.

How MemoryLake captures source channel memory

Per-channel reflection memory

Per-channel reflection memory

Performance patterns across roles.

MEMORYPer-role-type source effe…

Per-role-type source effectiveness

What worked for similar searches.

MEMORYEvent memory of source outcomes

Event memory of source outcomes

Conversations, screens, hires per channel.

Cross-tool retrieval

Cross-tool retrieval

ATS, LinkedIn, sourcing tools unified.

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How it works for source channel memory

  1. Connect — Authorize ATS and sourcing tools.
  2. Structure — Per-channel performance becomes typed memory.
  3. Reuse — New searches retrieve source channel guidance.

Before vs. after: recruiting source channel memory

Without MemoryLakeWith MemoryLake
Source channel ROI clarityOpaqueMemory-driven
Cross-role channel learningNoneReflection memory
New role kickoffGeneric channel mixMemory-recommended
Audit channel decisionsLimitedMemory provenance

Who this is for

In-house and agency recruiting teams where source channel optimization is supposed to compound but data isn't actionable today.

Related use cases

Recruiting & HRCandidate Pipeline Memory for Recruiting TeamsRecruiting pipelines lose candidate context across stages. MemoryLake gives recruiting teams pipeline memory that flows across every stage. Free to get started.
Recruiting & HRJob Description Memory Across RolesRecruiting teams rewrite job descriptions per role. MemoryLake stores JD memory across roles and over time. Free to get started.
Recruiting & HRInterview Feedback Memory for Hiring TeamsInterview feedback scatters across panels and tools. MemoryLake stores feedback memory that informs hiring decisions and future interviews. Free to get started.

Frequently asked questions

ATS integrations?

Greenhouse, Lever, Workday, Ashby — supported.

Privacy?

AES-256 E2E.

Free tier?

Yes — for small teams.

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