ResearchTrend.AI
Connected discovery across papers, researchers and organizations
A research discovery platform connecting paper search and period/field filters with authors, organizations, citations and trends. The original UI is retained with a connected synthetic corpus.
Contribution
The observed original history contains 1,921 commits under the author name Dante Chun out of 1,997. This range is Git evidence rather than verified total production duration, an exclusive role or sole ownership. Restoration and the 2026 synthetic corpus are distinct from the historical contribution period.
The 1,800 papers, 120 researchers, 24 organizations, 12 fields, 16 sessions and 5,384 local references describe synthetic demo data, not real service performance. There are no fabricated DOIs or claims of real authorship. Cross-filters, sort, pagination/infinite scroll, citations, coauthor relations, 7/30/90-day trends, bookmarks, follows and attendance use local demo state. No customer DB/API, OAuth, payments or email is connected. Original UI and source credits are retained with asset-rights limits; historical pixel equivalence is not claimed. A branded demo address is being prepared. Restored Oct 22, 2026.
Branded demo address pending
Actual synthetic-demo screens
Captured from the final application verification release on Oct 22, 2026. Fictional papers, researchers, institutions and graphs are not real research data or historical client screens.





