NNScholar is an AI research workspace for people who need to search literature, organize evidence, and move a research question toward a usable output.
The product has two connected surfaces:
- NNScholar.com introduces the product, handles account entry, pricing, billing, and payment callbacks.
- WebUse at
use.nnscholar.comgives users the browser-based research workspace for search, library, subscriptions, and account usage.
This split keeps the public website focused on trust and conversion, while the WebUse app focuses on day-to-day research work.
What problem does it solve?
Research work often breaks across too many tools: one place for search, another for saving papers, another for summaries, and another for tracking new literature. NNScholar is designed to keep those steps closer together.
The current product direction focuses on:
- literature search across academic sources
- saving and revisiting useful papers
- AI-assisted reading and screening
- recommendation subscriptions for ongoing topics
- citation tracing and evidence tracking
- account, usage, and billing controls that support free and paid plans
Why WebUse exists
WebUse is the lightweight browser entry into the workspace. A new user can start from the official site, sign in or register on the main domain, and then continue into WebUse to search, save, and manage research work.
That means nnscholar.com is the public and billing side, while use.nnscholar.com is the working surface. The two parts share the same product identity, but they should not expose each other's internal routes.
Product direction
NNScholar is not a generic AI landing page. It is being built as a research operating layer: one place where literature discovery, evidence handling, AI support, and usage-based access can work together.
The near-term goal is simple: let free users experience the core workflow, let paid users access stronger capacity, and make every important usage event traceable enough for accurate quota and billing.
