Crypto News Aggregator

Google News and generic RSS readers treat crypto as a subcategory of tech or finance. They surface whatever gets the most clicks, which usually means sensationalized price coverage and recycled wire stories. The actual signal, a regulatory filing that shifts enforcement precedent, a GitHub release that changes consensus rules, an earnings transcript where a CFO hedges on their Bitcoin strategy, gets buried or missed entirely.

The digital asset information ecosystem is unusually fragmented. Important context comes from crypto-native media, mainstream financial press, social platforms, podcasts, conference stages, congressional hearings, and open-source repositories. No general-purpose aggregator covers all of these. Most don't even try.

Perception was built to solve this specific problem. We aggregate content from 1,000+ curated sources across every channel where digital asset narratives form. Every article is run through NLP pipelines that score sentiment, tag mentioned entities, and extract topics. The result is a structured, searchable feed where you can find exactly what you need in seconds, not a firehose of noise.

Our source list is curated, not crawled. Every outlet is reviewed for editorial quality and relevance to digital assets before it's added. Here's what we cover:

• Crypto-native media, CoinDesk, The Block, Bitcoin Magazine, Blockworks, Decrypt, CoinTelegraph, and 100+ more. These are the primary sources that break crypto-specific stories.
• Mainstream financial press, Bloomberg, Reuters, Financial Times, Wall Street Journal, CNBC, Forbes, Fortune. Crypto coverage from outlets that move institutional capital.
• Social media, X (Twitter), Reddit, and LinkedIn. Filtered for signal, not raw firehose. We track executives, analysts, and key opinion leaders.
• Podcasts and YouTube, Transcribed and searchable. Conference keynotes, panel discussions, and media interviews from channels like Bankless, What Bitcoin Did, and Unchained.
• Regulatory and government, SEC filings, congressional hearing transcripts, enforcement actions, central bank publications, and policy documents.
• Earnings transcripts, Quarterly calls from publicly-traded crypto companies. Strategy, MicroStrategy, Coinbase, Marathon, and 60+ others.
• GitHub repositories, Release notes and significant PRs from 42 tracked repos including Bitcoin Core, Lightning, Ethereum, and major DeFi protocols.

Aggregating news is table stakes. The hard part is making sense of it. Every piece of content that enters Perception goes through an AI enrichment pipeline that adds three layers of structure:

Sentiment scoring, Each article gets a sentiment score from -1.0 to +1.0 using GPT-4o-mini. This isn't keyword matching, it's contextual analysis that understands when "Bitcoin drops to $60K" is bearish but "Senator drops Bitcoin bill" is neutral. You can filter, sort, and track sentiment over time for any entity or topic.

Entity tagging, NLP entity recognition identifies which companies, people, and protocols are mentioned in each article. This means you can search for "Coinbase" and find coverage even when the article doesn't use that exact word, it might reference "Brian Armstrong's exchange" or "the COIN stock." Over 110 entities are tracked with alias matching.

Narrative extraction, AI trend extraction identifies the broader narratives forming across hundreds of articles. Instead of reading 50 articles about ETF flows, you see "Institutional Bitcoin accumulation accelerating" as a named, tracked trend with signal strength and momentum scores.