Executive Summary

Many of the estimated 200 million knowledge workers waste time switching apps and losing the thread of conversations, documents and web content, and they frequently postpone reading long material because it interrupts flow. They need a low-friction, privacy-preserving way to recall context and consume information hands-free without breaking their workflow. Build a keyboard-first AI assistant that lives under the cursor: local or hybrid on-device inference that remembers multi-app context, surfaces actions and automations via keyboard shortcuts, and offers high-quality, integrated TTS to read articles, notes and messages aloud. Prioritize an offline-first mode for privacy and latency, with a cloud sync option for heavy-duty processing. The market is ripe: a $6.0B addressable opportunity based on 200M users at a $30 ACV, driven by three converging trends — local/open LLMs, tool consolidation to reduce context switches, and rapidly improving, affordable synthetic voices. Timing favors a product that can demonstrate real productivity gains with measurable time saved per user. You can differentiate by combining a truly keyboard-centric UX, on-device context memory, and bundled launcher/automation/TTS to minimize switches and protect privacy, but competition is high and the hard parts are nailing latency, battery/compute tradeoffs, and a clear go-to-market that achieves the assumed $30 ACV. If your team can ship a responsive, private experience and prove a strong time-saved ROI, this idea has practical legs; otherwise it risks getting drowned by general-purpose assistants and platform incumbents.

Market Opportunity

Keyboard-first AI assistant that remembers context and reads content aloud targets a $6.0B = 200M knowledge workers × $30 ACV (keyboard-first productivity & TTS add-on across consumers and prosumers) total addressable market with high saturation and a year-over-year growth rate of 20% YoY (aggregate growth for AI productivity and voice-assist markets — industry estimates from McKinsey and Forrester AI productivity reports).

Key trends driving demand: Local and open-source LLMs — enable on-device inference and privacy-preserving experiences which creates an opportunity for offline-first assistants.; Convergence of tools — users prefer fewer context switches so bundling launcher, automation, and content consumption in one interface reduces friction.; High-quality, affordable TTS — improvements in synthetic voice quality make auditory consumption a viable complement to reading and increase demand for integrated TTS.; Plugin ecosystems and marketplaces — app/plugin stores for developer tools accelerate distribution and third-party integrations, lowering go-to-market friction..

Key competitors include Raycast, Speechify, Notion.

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Keyboard-first AI assistant that remembers context and reads content aloud

Executive Summary

Market Validation

Market Opportunity

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