Speed up execution by turning stored knowledge into immediate action. A second brain for candidate context, role requirements, and interview signal quality so recruiters can ship faster with less rework by retrieving context exactly when needed.




The Problem
Neuron pages for recruiters are written around real memory pressure, not generic productivity advice.
Candidate and role context changes quickly, but shared notes lack consistent structure.
Strong interview signals are difficult to retrieve when comparing finalists over weeks.
You need reliable recall to align hiring decisions with the role outcomes that matter. Execution drags when teams repeatedly pause to rediscover known information.
The Solution
Capture Connect Recall Retrieve
Capture interview notes, candidate briefs, and hiring manager feedback in seconds so execution-critical details are available before work begins.
Map relationships across candidate context, role requirements, and interview signal quality so dependencies are clear before they introduce avoidable delays.
Generate active recall prompts like "Which signal from this interview predicts role success most strongly?" to keep key constraints active while decisions are being made.
Retrieve the right context before pipeline reviews and final hiring decisions when execution speed depends on immediate contextual clarity.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
Answers are tailored to this role so the page stays relevant and conversion-focused.
Insights, updates and stories from our team.
Why It Converts
It keeps interview notes, candidate briefs, and hiring manager feedback in one place so retrieval is dependable instead of scattered.
It reframes candidate context, role requirements, and interview signal quality into prompts that match the way recruiters actually think and execute.
It strengthens recall before pipeline reviews and final hiring decisions, where context quality directly affects outcomes.
It keeps operational memory close to execution so momentum is maintained across cycles.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.