Self-hosted RSS reader / private recommendations / no Big Tech reading profile

Personalized reading without Big Tech in the loop.

Dibao ranks only the RSS and Atom feeds you chose. It gives you the calm of RSS, the convenience of personalization, and a reading profile that stays inside your own instance.

Sources
Only your RSS subscriptions
Cost
Usable without token spend
Profile
Stored in your self-hosted SQLite instance
RecommendedWhy
The Verge · 12 min ago

A personal feed should be auditable

Sources, freshness, and reading depth shape the ranking.

MIT Technology Review · 1 hour ago

Small embedding models for personal reading

Provider optional; baseline ranking always remains usable.

Simon Willison · 2 hours ago

RSS can be calm without becoming dumb

No ad slots and no platform-injected sources.

You should not have to choose between manipulation and overload.

Centralized feeds feel effortless, but the platform owns the source mix, the ads, and the profile. Traditional RSS respects your sources, yet collapses into an unread backlog. Dibao adds a personal ranking layer without becoming a new platform.

Centralized platforms, classic RSS, and Dibao.

01Centralized platforms

Great flow, unclear incentives.

  • Strong personalization
  • Fast discovery
  • Sources are platform-shaped
  • Ads and ranking goals blur together
  • Your profile becomes their asset
02Classic RSS readers

Clean and controllable, but easy to overload.

  • No ad slots
  • You choose every source
  • Little personalized ranking
  • Manual triage grows with every feed
  • Reading behavior rarely compounds
03Dibao

RSS source ownership with a private ranking layer.

  • Self-hosted data
  • Recommendations stay inside subscriptions
  • Explanations, diagnostics, and fallback are visible

AI-powered, without a running LLM bill.

Generative AI made personalized reading fashionable, but LLMs are not the cheapest engine for a constantly updating feed.

Dibao leans on recommendation algorithms and small embedding models. Run locally on a Mac or NAS, or use a free / low-cost OpenAI-compatible provider when that fits better.

LLMGood for generation, heavy for feed ranking
EmbeddingsSmall models can rank by similarity and interest
Mac / NAS / Free ProviderLocal first, cloud optional

Your reading profile should be an asset you own.

The things you read, save, ignore, and finish are a map of your attention. Dibao keeps that map in your own instance so it can serve your reading instead of someone else's ad system.

Behavior eventsLocal
Interest clustersExplainable
Provider settingsUser-chosen
Reading profileOwned asset

Dibao v0.1.0 has shipped. Install notes and updates are opening gradually through the Waitlist.

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