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Content Summarization

If you follow 30 RSS feeds, you might see 50–200 new articles every day. No one can read all of that. The result is RSS guilt, an inbox full of unread items that makes you feel behind.

Content summarization solves this by letting you skim faster and read only what matters.

When enabled, SparkFeed’s AI will automatically generate a 2–4 sentence summary of each new article as it’s fetched.

Article fetched → Full content extracted → AI summarization → Summary stored in DB

The summary appears in the article list view, below the title, so you can decide in 5 seconds whether the article is worth reading in full.

Current flow (without AI):

  1. See a headline
  2. Open the article
  3. Skim for 30–60 seconds
  4. Decide if it’s worth reading
  5. Read or close

Future flow (with AI summaries):

  1. See a headline + 3-sentence AI summary
  2. Decide in 5 seconds
  3. Read the full article if interested, or mark as read

This is the difference between reading reactively and reading intentionally.

Beyond per-article summaries, SparkFeed will offer a Morning Briefing, a single digest generated once a day:

Your Morning Briefing: April 14, 2026

Tech: React 20 was announced with major performance improvements to the concurrent renderer. Microsoft shipped Copilot Studio updates. GitHub Actions added native ARM support.

Business: Sam Altman wrote about long-term AI alignment strategy. Sequoia published their annual state of the venture market report.

Design: Figma released Variables 2.0. Linear shipped a major UI refresh.

This briefing is generated locally using the articles already in your database, so no data leaves your machine.

SparkFeed will support multiple AI providers, so you can choose based on your preferences and privacy needs:

ProviderPrivacyCostQuality
Local (Ollama)MaximumFreeGood
OpenAI APIShares dataPay-per-useExcellent
Anthropic APIShares dataPay-per-useExcellent
Groq APIShares dataFree tierFast
# .env: future AI configuration
AI_PROVIDER=ollama # or openai, anthropic, groq
AI_MODEL=llama3.2 # model name for the chosen provider
OPENAI_API_KEY=sk-... # only if provider is openai
AI_SUMMARIZATION=true # enable/disable auto-summarization
AI_BRIEFING_TIME=07:00 # time to generate the daily briefing