Build deeper research understanding by connecting sources into one narrative. A second brain for formulas, design constraints, and lab learnings so engineering students can develop stronger synthesis from research material without losing source context.




The Problem
Neuron pages for engineering students are written around real memory pressure, not generic productivity advice.
You capture derivations and design notes quickly, but retrieval slows down when projects become complex.
Core formulas feel familiar during study sessions yet harder to apply in unfamiliar design contexts.
You need dependable recall when converting theoretical models into practical systems with constraints. Research quality stalls when source context is captured but never meaningfully connected.
The Solution
Capture Connect Recall Retrieve
Capture problem sets, lab reports, and design review notes in seconds so citations and insights remain tightly linked from the start.
Map relationships across formulas, design constraints, and lab learnings so themes and contradictions are visible as your research corpus grows.
Generate active recall prompts like "Which assumptions in this model fail first under real operating conditions?" to reinforce key insights before they disappear into reading backlog.
Retrieve the right context before design reviews, practical exams, and capstone milestones when drafting or presenting requires immediate source-backed clarity.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
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Insights, updates and stories from our team.
Why It Converts
It keeps problem sets, lab reports, and design review notes in one place so retrieval is dependable instead of scattered.
It reframes formulas, design constraints, and lab learnings into prompts that match the way engineering students actually think and execute.
It strengthens recall before design reviews, practical exams, and capstone milestones, where context quality directly affects outcomes.
It compounds source-level memory into higher-order synthesis that improves every iteration.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.