SaaS

NewSumm - AI-Powered News Aggregation Platform

NewSumm
Completed May 2026
7 views

An AI-powered news aggregation platform that curates breaking stories from multiple sources and presents them as concise, multi-perspective summaries across world, politics, business, tech, sport, science, health, and entertainment.

Project Overview

NewSumm is an AI-powered news aggregation platform that curates breaking stories from a wide range of publishers and presents them through concise, multi-source summaries. Instead of jumping between outlets, readers get a balanced view of every story with the key facts, differing angles, and links back to the original reporting.

Key Features

AI-Generated Summaries

Every story is condensed into a clear, neutral summary generated by a language model pipeline that ingests multiple sources covering the same event, extracts the shared facts, and highlights where coverage diverges.

Multi-Source Perspectives

Each article aggregates reporting from several outlets so readers can compare framing across publishers in a single view, with citations and direct links to the originals preserved throughout.

Category-Based Browsing

Stories are organised across eight top-level categories: World, Politics, Business, Tech, Sport, Science, Health, and Entertainment. Category pages are dynamically generated and updated as new articles are ingested.

Daily Recap

A dedicated daily digest highlights the most significant stories of the past 24 hours in one place, giving readers a fast way to catch up without scrolling through every category.

Instant Command-K Search

A keyboard-driven search (Cmd + K) lets users jump straight to any story, topic, or category. Results are returned instantly across the full archive of indexed articles.

Automated Ingestion Pipeline

A scheduled ingestion layer continuously pulls articles from configured news feeds, deduplicates near-identical reporting, clusters related stories, and queues them for AI summarisation before publishing.

SEO-Optimised Article Pages

Every story renders with structured metadata, OpenGraph tags, and clean canonical URLs so summaries surface well in search results and social previews while still pointing traffic back to original publishers.

Technical Highlights

  • Built on Laravel with a queue-driven worker layer for ingestion and summarisation jobs
  • LLM-backed summarisation pipeline with clustering to merge coverage of the same event
  • Server-rendered, responsive UI with a keyboard-first command palette for search
  • Indexed full-text search across the article archive
  • Scheduled tasks for feed polling, deduplication, daily recap generation, and sitemap refresh
  • Google Analytics integration with CSRF-protected session handling

Results

NewSumm delivers a fast, distraction-free reading experience for users who want to stay informed without committing to a single publisher's editorial line. The platform scales horizontally across categories, keeps original journalism in the loop through prominent attribution, and turns a noisy news cycle into something readers can actually finish.

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Technologies Used

Laravel PHP 8.3 MySQL Tailwind CSS Alpine.js Redis LLM Summarisation Queue Workers Google Analytics

Project Details

Client
NewSumm
Category
SaaS
Completed
May 2026
Views
7

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