GlanceAI

24,700 people open this extension every day to make sense of the internet faster.

what GlanceAI does#

Open GlanceAI on any webpage and the side panel gives you an AI summary, a list of key points, and a chat you can use to ask questions about what you are reading. It also surfaces related links. All of it is inside the browser, sourced from the page you have open, not from some general knowledge base.

No copy-pasting into another tab. No switching apps. You get enough to decide whether the full article is worth your time, usually in under five seconds.

why we built it#

The internet produces more text than any person can read. That is not a novel observation, but it is a real problem for anyone whose job involves staying current: researchers mapping a topic, analysts comparing sources, professionals skimming a hundred tabs on a Monday morning.

Saif built GlanceAI to tackle that at the browser level, because that is where the reading actually happens. A side panel feels different from a separate app. It becomes part of how you browse rather than something you context-switch into.

The extension has been maintained through multiple Chrome version updates and Web Store policy cycles. It was built Manifest V3-native from day one, so when Chrome disabled MV2 extensions in mid-2025, GlanceAI users experienced zero disruption. That was an architectural decision made upfront, not a patch applied under pressure.

what we built#

DOM extraction and text cleaning. The content script reads the page's DOM, strips navigation, ads, sidebars, and boilerplate, and extracts what a human would consider the main content. This was harder to get right than it sounds. The pipeline has to handle paywalled publications, single-page apps, Markdown-rendered docs, academic PDFs rendered in-browser, and thousands of other site architectures, most of which behave differently.

Summarization with token-aware chunking. Extracted text goes to an LLM API. For long pages, the engine chunks the content, summarizes sections in parallel, and synthesizes a coherent overview. Summary quality holds up whether the input is a 500-word blog post or a 12,000-word research paper, which required some care around how chunks are recombined.

In-browser chat grounded in the page. The chat answers questions about the article you are on, sourced from that article's text. "What does the author conclude about X?" returns an answer from the piece, not from the model's training data. That is a meaningful difference if you are using it for research rather than casual reading.

Related link discovery. Relevant links surface alongside the summary. When you are tracing a topic across multiple sources, this means you can keep going without switching tools.

Architecture:

Chrome Manifest V3 with service worker lifecycle management
Content scripts for DOM traversal and text extraction across arbitrary site architectures
Side panel UI for summary, key points, chat, and related link rendering
LLM API integration with chunk-based processing for long-form content
Session state management within service worker constraints
Cross-browser support: Chrome, Brave, Opera (Edge, Safari, Firefox in development)

results#

24,700+ active users and growing
4.7-star rating on the Chrome Web Store
Top 13.7% of all Chrome extensions by install base (86.3% of extensions have fewer than 1,000 users, Chrome-Stats 2024)
Multi-browser availability: Chrome, Brave, Opera live. Edge, Safari, Firefox in development.
Zero downtime through Chrome's Manifest V3 enforcement cycle
User reviews: "Feels like an extra brain." "The summaries are spot-on, and the live chat is incredibly efficient." "Delivers concise summaries and quick AI responses seamlessly."

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