Skim Recap

Recaps what you skipped and explains where you get stuck

Artificial IntelligenceChrome ExtensionsProductivity

▲ 0 votes1 commentsLaunched Aug 18, 2026

Daily #14Weekly #28

Flick through an article too fast and Skim Recap hands the skipped passage back in a card beside your cursor. If a term stops you, select the word or phrase and press Feynman: Gemma uses the surrounding paragraph, nearby context, heading, and page title to explain what it means here. Everything runs locally through LiteRT-LM and WebGPU—no account or hosted LLM API.

AI Analysis

📝 Summary

Skim Recap is a Chrome extension that uses on-device AI to improve online reading. It detects when users skim sections too quickly and displays recap cards beside the cursor. The Feynman feature lets users select terms for contextual explanations drawn from the paragraph, headings, page title, and surrounding content. Powered entirely locally by the Gemma model via LiteRT-LM and WebGPU, it requires no accounts, logins, or cloud APIs. It addresses pain points of missing key information during speed reading and struggling with domain-specific jargon. The value proposition is private, instant, and context-aware reading support that runs efficiently in the browser without ongoing costs or data sharing.

📈 Market Timing

In 2025-2026, on-device and browser-based AI (WebGPU, local LLMs) are reaching practical maturity, aligning with rising user demands for privacy-first tools amid growing data regulation and cloud cost concerns. Productivity extensions are booming as information overload increases. No major economic or policy barriers for local AI tools. This positions Skim Recap well as a timely alternative to API-dependent AI readers. Excellent Timing.

✅ Feasibility

Technical implementation is complex but proven feasible per the description (local Gemma on WebGPU). Development costs are moderate for an extension; operational costs are very low since inference runs on user hardware. No supply chain or major compliance risks due to fully local processing. Scalability is high via Chrome Web Store distribution. Requires specialized ML/browser expertise. Overall rating: High.

🎯 Target Market

Primary users: tech-savvy knowledge workers, students, researchers, and professionals (ages 20-45) who read long-form web articles daily. Industries include software, academia, journalism, and consulting. Geographic focus: global with heavy adoption in US, Europe, and Asia. Core pain points are inefficient skimming and comprehension barriers. Estimated TAM for AI productivity tools is large (tens of billions); this niche reading assistant SAM is substantial with high willingness to pay for seamless, private tools (likely via freemium model).

⚔️ Competition

Competition Level: Medium. Direct competitors: 1. Monica (monica.im) - AI sidebar assistant for web. 2. Merlin AI (merlin.foyer.work) - Chrome productivity AI. 3. Glasp (glasp.co) - AI-powered web highlighter. 4. Explainpaper (explainpaper.com) - AI paper explainer. 5. TLDR This (tldrthis.com) - article summarizer. Advantages: fully local/privacy-first, unique skim detection + contextual Feynman explanations without cloud dependency. Disadvantages: potentially limited by local model capabilities and device hardware compared to cloud competitors' more powerful LLMs; narrower feature set.

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