AI Crypto News Summarizer: Per-Coin Daily Digest

Why crypto news needs an AI filter

CoinDesk, Cointelegraph, The Block, Decrypt, CryptoSlate, and 45+ other crypto news sites publish 200-500 stories per day combined. Most are repetitive — five sites covering the same announcement — or irrelevant (analyst price predictions, sponsored content, recap articles). Reading them all is a full-time job. Reading none of them means missing the 2-3 stories per day that actually move the market.

The middle path is an AI-summarized, per-coin news feed that aggregates the sources, deduplicates similar stories, ranks by relevance per coin, and produces concise summaries you can scan in two minutes instead of reading 50 articles.

This page covers how Sharpe's news aggregator works — the sources, the AI summarization, the per-coin filtering, and how to use the feed without drowning in headlines.

The 50+ source aggregation

Sharpe's news aggregator pulls from a curated list of 50+ sources:

• Tier 1 publications: CoinDesk, The Block, Decrypt, Bloomberg Crypto, Reuters Crypto, CoinTelegraph
• Crypto-native: CryptoSlate, BeInCrypto, Bitcoin Magazine, CryptoBriefing, Blockworks, CCN
• Niche / specialist: Bankless, Defiant, RWA.xyz blog, Restaking blog
• Aggregators: CoinGape, AMBCrypto, U.Today, NewsBTC

The full source list is at /news/sources. Sources are added as they reach editorial-quality thresholds (verified bylines, no pump-and-dump promotion, no AI-generated stuffing).

Stories are ingested every 5 minutes. By the time a CoinDesk article publishes, it's typically in the Sharpe feed within 10 minutes, deduplicated against The Block's coverage of the same event, and AI-summarized.

How the AI summarization works

When a story is ingested, an LLM produces a 30-50 word summary preserving:

• The core fact (what happened)
• The actor (who did it)
• The impact (why it matters)

Summaries are validated against the source article — anything the model adds that isn't in the source gets filtered. Hallucinations are a known LLM failure mode, and we explicitly check for them before publishing summaries.

If the source article is updated (e.g. CoinDesk corrects or expands a story), the summary is regenerated. The summary timestamp shows the latest revision.

This is where the value over a raw aggregator is real: instead of 50 article links you have to click through, you get 50 30-word summaries you can scan and decide which to drill into.

The per-coin filter

Each story is tagged with the coins it mentions during ingestion. The per-coin pages filter to stories relevant to that coin:

• /news/coin/bitcoin — BTC stories only
• /news/coin/ethereum — ETH stories
• /news/coin/solana — SOL stories
• /news/coin/xrp — XRP stories
• /news/coin/dogecoin — DOGE stories
• /news/coin/hyperliquid — HYPE stories

Each per-coin page ranks stories by recency and engagement signals (pageviews, social shares). The top 5 stories per day are surfaced as a "Top Stories" digest.

The filter is automatic — no manual curation. Coin tagging uses explicit ticker mentions plus contextual entity recognition (an article about "Solana DeFi protocol" gets tagged SOL even if no ticker is used).

Top Stories — the daily digest

The /news/top-stories page is the opinionated daily view. It surfaces the 5-10 stories that matter most each day, ranked by:

• Newsworthiness (LLM-scored against editorial criteria)
• Engagement (cross-source pickup, social signal)
• Recency (within last 24 hours)
• Coin coverage (stories impacting majors weighted higher)

This is the 2-minute read. If you only have time for one news view, this is it.

How to use the feed without drowning

Three workflows:

1. Daily Top Stories scan. 2 minutes per day. Open /news/top-stories, read the AI summaries of the 5-10 stories. Click into 1-2 if relevant to your positions. Done.

2. Per-coin alert workflow. If you hold or trade specific coins, bookmark the per-coin pages (e.g. /news/coin/bitcoin). Check once at market open and once in the evening. Most days, nothing material happens; you can skip. On days with material news, you'll see it surfaced.

3. Narrative-driven news scanning. When a narrative is rotating (e.g. AI Agents pumping), the news flow within that narrative matters. Cross-reference the narrative tracker with the news feed — find the underlying coins driving the rotation, then check news for those coins.

How this differs from CryptoPanic and LunarCrush

CryptoPanic is the closest competitor — same aggregation philosophy but no AI summaries. LunarCrush focuses on social sentiment alongside news. Sharpe's primary differentiator is the AI summarization plus the broader workspace integration (narratives, funding rates, derivatives data) in one terminal.

Common mistakes

Treating headlines as signal. Most crypto headlines don't move markets. Always read the AI summary or the underlying article — a headline like "Major Hedge Fund Sells Bitcoin" might turn out to be about a $50K position, not a market-moving size.

FOMO-trading off news flow. By the time a story is in the news feed, the price has often moved. Use news for context and risk management, not for timing entries.

Ignoring sources you don't recognize. Some of the best crypto reporting comes from niche or specialist publications (Bankless, Defiant, smaller substacks). The Top Stories digest surfaces these alongside major outlets — don't filter them out.

Letting news replace fundamental analysis. News is a stream of events; investment thesis is a structural view. Use news to update your thesis, not to construct it.

Where to go from here

For the daily 2-minute scan, /news/top-stories is the entry. For per-coin tracking, the per-coin pages are bookmark-worthy. For deeper drilling, the main /news page supports filtering by category, source, and date.

The full feed is also exposed through the API at the free 30 req/min tier — useful for automated workflows that integrate news sentiment into trading or research pipelines.

Crypto news is too much volume to read raw. AI summarization plus per-coin filtering plus a curated daily digest cuts it to a manageable read. The terminal is the workspace; the news feed is the input layer.