Executive Summary

Developers, engineering managers, and developer advocates increasingly face fragmented discovery: conversations and signals are scattered across X, Bluesky, Mastodon, newsletters, GitHub issues, and niche forums, and this fragmentation forces roughly 200 million knowledge workers to spend disproportionate time hunting for relevant updates and reconciling duplicate threads. Existing solutions tend to be single-platform or keyword-driven, so professionals miss nuanced, domain-specific signals and waste effort on duplicated links and out-of-context commentary. You could build a cross-platform, AI-filtered stream that ingests public posts, newsletters, and repo activity, applies embeddings-based retrieval to dedupe and cluster topics, and exposes highly customizable feeds for languages, frameworks, or roles. The product would combine threaded context and concise summaries with source attribution, a developer-friendly onboarding for stack-specific subscriptions, and a freemium model plus a $30/year power tier aimed at converting engaged users. Technical priorities will include robust ingestion pipelines, real-time vector search, newsletter paywall handling, and clear privacy and moderation tooling. The market dynamics favor this now: platform fragmentation and the rise of niche communities increase demand for unified discovery, while recent cost and performance improvements in embeddings and vector databases make cross-source threading tractable. With a back-of-envelope addressable market of 200M knowledge workers at $30/year ($6.0B) and strong evaluation metrics (Market Score 90/100, Revenue Potential 84/100), commercial upside exists but depends on achieving high retention and willingness to pay. To differentiate in a medium-competition landscape, focus on domain-tuned relevance, fast onboarding for developer stacks, transparent attribution, and licensed or cooperative ingestion to reduce legal risk; be candid that challenges include API limits, embedding costs, moderation at scale, and the need to maintain trust as platform behaviors change.

Market Opportunity

Curated tech feed — AI-filtered, cross-platform stream for developers targets a $6.0B = 200M knowledge workers x $30/year subscription total addressable market with medium saturation and a year-over-year growth rate of 12% annual growth in attention-management and content curation tools.

Key trends driving demand: Platform fragmentation -- Users are split across X, Bluesky, Mastodon, and newsletters, creating demand for unified discovery.; AI embeddings & retrieval -- Better semantic search enables cross-platform threading, dedupe and topic clustering at scale.; Niche communities rising -- Developers prefer domain-specific feeds (languages, frameworks) over broad algorithmic timelines..

Key competitors include Feedly, Bluesky, Mastodon (and federated instances), Substack & Curated Newsletters, Twitter/X (including TweetDeck & lists).

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Curated tech feed — AI-filtered, cross-platform stream for developers

Executive Summary

Market Validation

Market Opportunity

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