AI Ketch-Up

Your fast lane to everything that matters in AI.

🎯 Product Summary

An ultra-minimal, AI-powered news reader for staying on top of weekly AI updates. Combines real-time aggregation with ChatGPT-style smart catch-up, and bookmarking.

Target Users:

• Busy tech founders, PMs, researchers, creators
• Don’t have time to read 20 newsletters or dig through Twitter

🔧 Core UX Structure (Sidebar Tabs)

1. Feed

A chronological, AI-aggregated feed of everything new in AI (products, papers, funding, open source, etc.)

1. Filters: Date range, tags, orgs
2. Search: Free-text search with semantic ranking
3. Feed cards: Title, summary, timestamp, source, tags
4. Optional badge: “Why this matters”
5. CTA: Bookmark
2. Catch Up

ChatGPT-style interface. You select (or type) a query like:

1. “What did I miss in the past week?”
2. “What’s new in open source AI?”
3. “Summarize new OpenAI news”

System generates a custom digest from real-time scraped data + cached summaries.

3. Bookmarks
• List view of saved items
• Sort/filter by tag or date
• Option to generate a personalized digest from saved items (“Summarize everything I saved this month”)

📦 Feature Set by Tab

✅ Feed

• Daily-updated global feed
• Smart clustering of duplicate headlines
• Source icons/logos (arXiv, X, GitHub, OpenAI, etc.)
• Semantic tag-based filters
• Instant search (fuzzy + embedding search)

✅ Catch-Up

• Chat interface (ChatGPT-style)
• Predefined query buttons
• Supports user-input custom queries
• Custom LLM agent fetches latest + contextual data
• Generated answer = mini-newsletter
• Option to export as Markdown / Email / PDF

✅ Bookmarks

• Save any update to local/user DB
• Auto-tag on save
• “Digest from my bookmarks” generation
• Sync to Notion optional (v2)

🧪 Optional Advanced Features (V2)

• Follow specific orgs (e.g. OpenAI, HuggingFace)
• Daily push via email/Slack/Discord
• “Explain Like I’m 5” mode for research papers
• Social voting system for most useful updates
• GitHub trending tab (with AI-powered filtering)

💻 Tech Stack

Frontend

• Next.js (App Router)
• TailwindCSS + ShadCN for fast, clean UI
• Vercel hosting + Edge Functions
• Typescript everything
• Radix for accessibility (optional)

Backend / Data

• Supabase (user auth, bookmarks, saved prompts)
• Postgres (via Supabase) for feed storage + semantic search
• RSSHub + custom scrapers for source ingestion
• LangChain to orchestrate multi-agent workflows
• OpenAI GPT-4o / Perplexity API for summarization, catch-up agent
• Qdrant or Supabase Vector for embedding search (tags, topics, questions)

AI Agent Layer

• GPT-4o as default model
• Contextual memory: “Last time you asked about AGI...”
• Prompt templates for:
• Weekly catch-up
• Research digest
• Org-specific summary
• Bookmark summary

Data Sources (MVP)

• Twitter/X (AI influencers, orgs)
• arXiv (cs.AI, stat.ML)
• GitHub (trending AI repos)
• AI newsletters (via RSS)
• Product Hunt (AI tag)
• TechCrunch AI
• Hacker News (filtered)

🔐 Auth

• Optional login (only needed for bookmarks or personalized feed)
• Use Supabase Auth or Clerk.dev (if you want social logins)

📈 Success Metrics

• Time to first useful update < 30s
• Weekly returning users — of saved/bookmarked items
• % of users using catch-up
• Time spent on catch-up page

⏱ Timeline Suggestion

Week 1:

• Feed ingestion working
• MVP UI (3 tabs) with mocked data
• Summarization prompt templates ready

Week 2:

• LLM agent running catch-up queries
• Bookmarks working with Supabase
• Search + filters enabled

Week 3:

• Personal catch-up generation working
• Full UI polish
• Launch on X/HN with waitlist