
ScholaRef
AI Workspace for Academic Submissions
ScholaRef launched on May 13, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Turn your manuscript into a submission-ready paper with ScholaRef. From deep manuscript review and AI-detection checks to citation verification, novelty analysis, journal recommendations, reviewer simulation, grammar refinement, and exportable feedback reports, ScholaRef brings the entire academic submission workflow into one powerful AI workspace. ScholaRef helps you catch weaknesses before reviewers do, strengthen your paper’s positioning, and move toward submission with confidence.
ScholaRef is one dashboard for every paper, its status, and your co-authors. Track your whole submission pipeline, collaborate with your lab, and get assistance where it helps — from draft to decision.
One dashboard for every paper, its status, and its co-authors — plus fourteen review tools you spend a token on only when they help. A card per manuscript: title, venue, co-authors, priority, deadline, and the file itself. Planned, in review, decided — one board, with the nearest deadline always on top. Invite co-authors by email. Same files, same status. Edits saved back to one document. Nothing runs without your asking. Tracking, teams, chat, grammar and Explorer never cost a token. Supervisors, students and collaborators share a workspace — without mixing lab resources over anyone’s personal account. Your own dashboard for every paper and deadlines — with AI review where it helps. Bring…from scholaref.com
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- STScholarref tools – never deal with journal webpages again2019 · adamsgaard.dk · ▲127
Academic webpage of Anders Damsgaard
AI Peer Reviewer – Multiagent system for scientific manuscript analysis2025 · github.com · ▲108After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…


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