AI generates learning roadmaps with prerequisite links
Clew is a learning app that uses LLMs to generate topic maps from a single prompt. It creates 100+ topics and prerequisite links, allowing users to explore subjects or learning goals interactively. The app solves the problem of manually creating study roadmaps for any subject.
Visit project ↗Related
Linkwise: AI read-later and knowledge app with curated Discover feed
Linkwise is an AI-powered read-later and knowledge app that helps users save and organize articles, essays, videos, and highlights. It features a curated public feed called Discover, generated using Fable 5, which selects content worth reading. The app solves information overload for knowledge workers and avid readers.
Linkwise: AI read-later and knowledge app with curated Discover feed
Linkwise is an AI-powered read-later and knowledge app that helps users save and organize articles, essays, and videos. It features a curated Discover feed of high-quality content, built using Next.js with ISR, Supabase/Postgres, and Fable 5 for page generation. The app solves the problem of information overload by surfacing worthwhile reads.
Interactive app teaching LLM pipeline from pattern matching to transformer training
An interactive web app that walks through every stage of the LLM pipeline, from basic pattern matching to training a transformer from scratch. It includes working code that users can run locally, making it an educational tool for developers and learners.
LLM assistant that files Telegram notes into precise Notion pages with matching style
An LLM-powered assistant that takes quick notes from Telegram and automatically places them on the correct Notion page, formatted to match that page's style. It helps users with large Notion workspaces keep organized without manually navigating to the right page. Currently seeking beta testers.
Euclis: shared project memory that captures decisions and blockers from chat and AI tools
Euclis is a free tool that automatically captures decisions, blockers, milestones, and insights from WhatsApp, Claude, Cursor, and the web, turning scattered chat into structured project memory. It helps teams and AI agents avoid starting from zero by providing persistent context. The tool uses LLMs to extract and organize information from conversations.
