NewsPro
Follow the things you care about
NewsPro collects relevant coverage and extracts the main stories. Read a short synthesis, then open sources when you need details.
Our products
We’ve packaged the same workflow into focused products. Follow what is important to you and we’ll group the coverage into the most-discussed stories — with direct links to the original sources.
Sports
Follow sports teams, athletes, and games and get extracted stories based on actors and actions (what happened, who was involved, what changed).
- TeamClub, national team, or franchise.
- AthleteA single player/competitor (and the stories they’re part of).
- GameMatch, race, or event.
Stocks
Follow a ticker from major exchanges (NASDAQ, NYSE, etc.). A ticker expands into a network: the company, the people around it, what it depends on, and what it produces.
- Company + peopleThe organization plus board members, owners/investors, and executives (e.g. TSLA → Tesla + Elon Musk + directors).
- DependenciesSuppliers and supply chains; factories and logistics; critical inputs like metals/mines, batteries, chips, and deliveries.
- OutputsProducts and channels (cars, solar, dealers), plus downstream partners and customers when relevant.
How it works
Articles are ingested, processed, and organized into a small set of story threads.
Collect
Pull in coverage from many publishers, regions, and languages.
Extract
Detect the recurring actors and actions to surface the underlying stories.
Group
Merge related articles so each real-world event becomes one story thread.
Produce
Generate a concise synthesis, with links back to original sources for depth.
Translate
Normalize multilingual coverage with translation when needed, so nothing’s missed.
Last 30 Days Collection Stats
These are real counts for the last 30 days. Totals can still shift slightly as sources update and deduping/backfills run — the interactive stats page shows the underlying breakdown.
AI reads everything. You read what matters.
The system continuously collects articles, groups them into stories, and produces summaries. This reduces manual reading while maintaining access to source materials.
Better than news aggregators
Understand what's going on without reading a lot
One intelligent synthesis with all key points extracted - verified with source links
See more than the "top results"
Complete coverage from all available sources, not just what ranks highest
Reduce duplicates and rewrites
Smart grouping - multiple articles about one event become one unified story
Compare how different outlets report the same event
All perspectives combined in one story with source attribution
Keep context as a story develops
Stories automatically update as new coverage arrives - context preserved
Verify details quickly
Direct source links attached to every claim in the synthesis
Better than chat assistants
Ongoing tracking (not one-off Q&A)
Follow once and get automatically updated stories as news breaks
Breadth of coverage
Continuously collects from thousands of sources - nothing gets missed
Avoid missing important updates
Proactive updates as coverage changes and new stories emerge
See sources behind the summary
Every synthesis backed by direct links to original articles
Separate multiple storylines about the same thing you follow
Automatically extracts and separates multiple stories - each with its own synthesis
How people use Sports App
Die-Hard Fan
Following FC Barcelona and Liga MX
Follows favorite team plus 10+ key players across two leagues. Gets every transfer rumor, injury update, and match preview from global sources. No more missing news from Spanish or Mexican outlets.
"I used to miss half the transfer news because I don't speak Spanish. Now I get everything translated and organized."
Fantasy Sports Manager
Competitive fantasy football player
Tracks 40+ players across multiple leagues. NewsPro surfaces injury reports, lineup changes, and performance trends before they hit mainstream coverage.
"I caught a key player injury from a regional Spanish outlet 6 hours before ESPN reported it. Game changer."
Sports Data Analyst
Performance analytics firm
Monitors coverage of 15 national teams to identify narrative shifts and public sentiment. Uses extracted stories to complement statistical analysis.
"We see how media framing changes before and after key matches. The synthesis saves us from reading hundreds of match reports."
Frequently asked questions
Common questions about how the system works and what to expect.
What can I follow in the Sports app?
Teams (clubs, national teams, franchises), individual athletes/players, and specific games/matches. The system tracks coverage for each and groups related articles into stories.
Can I see the original articles?
Yes. Every synthesis includes direct links to the source articles it was extracted from. You can verify any claim by reading the original reporting.
How does the system handle multiple languages?
The collection pipeline processes articles in their original language and translates when needed. The synthesis combines information from sources in different languages.
Is the automated synthesis always accurate?
No. Automated extraction can make mistakes. Always treat the synthesis as a starting point and verify important details in the source articles.
How quickly does new coverage appear?
Articles are collected and processed continuously. The end-to-end latency from publication to synthesis varies by source and system load, typically ranging from minutes to a few hours.
How are duplicate articles handled?
The system identifies articles covering the same underlying event and groups them into a single story. This reduces noise from rewrites and wire service duplicates.