Search. Capture. Summarize. Revisit.

Capture the Internet. Build Your Knowledge Library.

Discover URLs, scrape web pages, and organize them into a personal knowledge system.

01

Discover by topic

Search the web before you save.

02

Import with structure

Store content and source metadata.

03

Summarize and tag

Recover context much faster later.

Workspace preview

What new users should understand immediately

Live flow

Discover

Topic search

Import

Clean capture

Summarize

AI context

Selected source

https://signals.example.com/ai-market-map

The app captures the article, metadata, and reference context instead of leaving it buried in bookmarks.

Completed

Saved context

Readable article bodyIncluded
Author and dateCaptured
Summary and tagsGenerated

Library outcomes

Search laterFaster
Revisit sourcesSimpler
Knowledge driftLower

Why it matters

Find high-signal pages

Use topic search to shortlist content before importing it.

Save structured records

Each imported page becomes a reusable item with readable content and source data.

Retrieve by context

Summaries and tags make long-term recall much easier.

Discover

Search the web

Find relevant pages by topic before deciding what belongs in your saved library.

Import

Capture source material

Single URL scraping and bulk import convert raw links into clean, readable saved items.

Summarize

Add AI context

Generate summaries and tags so each saved article stays easy to skim later.

Library

Revisit with confidence

Filter by status, scan your archive, and jump back to the original source anytime.

Product flow

Designed around how the app actually works

Discover helps users find pages, Import captures them, item pages add AI context, and the library makes those sources easy to revisit.

1

Step 1

Add a URL

Paste any web page you want to capture.

2

Step 2

Extract content

The system cleans and structures the page automatically.

3

Step 3

Organize knowledge

Tag, categorize, and store insights.

4

Step 4

Search anytime

Find saved knowledge instantly later.

Core capabilities

The landing page now reflects the real outcome of the product

Gatherly is more than scraping. It turns scattered source pages into a reusable library with context, summaries, tags, and search-ready structure.

Single URL scrape and bulk import are both visible product strengths.

Discover is positioned as the starting point for finding useful sources.

Item detail pages are represented as the place where AI context gets added.

Discover

Find valuable pages and resources across the web.

Scrape

Extract structured content from pages without clutter.

Organize

Group saved pages using tags, collections, and folders.

Revisit

Search and rediscover insights whenever you need them.

What gets saved

A lightweight research workspace, not only a scraper

The saved item is the core concept of the app. It combines the source, the readable content, and the AI-generated context into one place.

Source metadata

Keep title, URL, author, date, image, and status together for every page.

Readable content

Store the main article body so useful pages are still readable after capture.

AI summary

Generate concise summaries when returning to long articles later.

Reusable tags

Apply topic tags so the library becomes easier to scan and search.

Use cases

Useful for researchers, learners, and people who save too many links

The new home page leans into clear outcomes instead of generic feature listing, which makes the product feel more focused.

Researchers

Collect articles, papers, and references.

Content Curators

Save and organize the best resources.

Analysts

Capture insights from multiple sources.

Students

Build knowledge systems for studying.

Product promise

"Instead of hundreds of messy bookmarks, I now have a structured research library I can search instantly."

Independent Research Analyst

Ready to use

Start with saved sources. Let intelligence layer on top.

Use Discover and Import to build the library first, then make it more valuable with summaries, tags, and a cleaner retrieval workflow.