Explore any niche. Discover pain points, content opportunities, and what solutions people are eager to pay for.
Scholarcy
Scholarcy is a tool for summarizing and organizing research, built around AI-powered tools described as made specifically for academic papers. It converts long texts into interactive summary flashcards highlighting key information, and accepts imports including PDFs, book chapters, articles, Zotero, Google Drive and YouTube. Summaries can be enhanced and exported to other apps and citation managers.
Screenshot unavailable. The listing stays available while a preview is prepared.
Features
- Scholarcy converts long complex texts into interactive summary flashcards Source: www.scholarcy.com
Uses
- AI powered tools built specifically for academic papers Source: www.scholarcy.com
Links
Tags
-
0Explore any niche. Discover pain points, content opportunities, and what solutions people are eager to pay for.
-
0Archivarix Tube Search is a search engine for finding deleted, removed, and unavailable YouTube videos. It searches the Wayback Machine, Common Crawl, and other web archives to recover video metadata, thumbnails, subtitles, and links to archived video files. Users can search by channel, by video URL or ID, or full-text.
-
0
SVGStud.io is an AI-powered SVG generator and editor. It generates SVGs from textual descriptions and optional example images, refines them iteratively, and offers semantic search across a library of 127303 SVGs plus a gallery and in-browser editing. Generated SVGs are licensed under CC-BY-SA 4.0. Inputs are logged and generated SVGs are added to the public library.
-
0Chroma is open-source search infrastructure for AI under Apache 2.0. It supports vector, full-text, regex and metadata search, built on object storage. Chroma Cloud offers serverless, scalable deployment with usage-based pricing.
-
0
This is an article by Amelia Wattenberger exploring creative uses of embeddings, including her development of the PenPal writing app and a sentence length highlighting tool for analyzing writing style.
-
0Phenaki is a Google Research model that synthesizes realistic videos from textual prompt sequences. It uses an encoder-decoder tokenizer for variable-length videos and a transformer that translates text embeddings to video tokens, trained jointly on image-text and video-text data.
Community notes
Reviews and discussion
No reviews yet
Be the first to share how this project worked for you.
Join the discussion
Sign in with a verified account to leave a review or join the discussion.
Sign in to review