Turn captured information into confident decisions faster. A second brain for literature synthesis, hypotheses, and experimental tradeoffs so phd students can move from raw notes to clear decisions with less backtracking.




The Problem
Neuron pages for phd students are written around real memory pressure, not generic productivity advice.
You read deeply, but citation context is hard to retrieve when argument structure evolves.
Experimental decisions span months, increasing memory decay between iterative research cycles.
You need a memory system that supports rigor across long timelines and changing hypotheses. Without a structured retrieval loop, decisions rely on incomplete or outdated context.
The Solution
Capture Connect Recall Retrieve
Capture paper notes, experiment logs, and advisor feedback in seconds so decision context is complete, current, and easy to revisit.
Map relationships across literature synthesis, hypotheses, and experimental tradeoffs so tradeoffs and dependencies are visible before you commit.
Generate active recall prompts like "How does this paper challenge the current working hypothesis in your project?" to sharpen judgment with evidence-backed prompts.
Retrieve the right context before committee meetings, manuscript writing, and defense prep when decisions depend on speed and context quality.
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 paper notes, experiment logs, and advisor feedback in one place so retrieval is dependable instead of scattered.
It reframes literature synthesis, hypotheses, and experimental tradeoffs into prompts that match the way phd students actually think and execute.
It strengthens recall before committee meetings, manuscript writing, and defense prep, where context quality directly affects outcomes.
It closes the gap between information capture and real execution decisions.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.