The smart news app - AI RSS feed

Your news feed. Your algorithm.

Every other algorithm is a black box built for ads and outrage.
Here, the algorithm is yours — it actually filters for what you want to read.

Feedpik RSS feed reader — your RSS sources, private preference data, your ranking algorithm, and your agent's picks

Build your own information system

Your information system, end to end: the sources you picked, an algorithm that is yours alone, your AI agent filtering again on top, delivered the way you like to read.

Sources
Ranking
Agents
Delivery

Every source you care about, in one place.

  • Paste a URL — the feed is auto-discovered
  • Substack · podcasts · Bluesky · Google News
  • OPML import & export, so you’re never locked in

Signal, not noise

A daily briefing synthesized across every source

Today · 3 themes
Inference costs fell off a cliff

Serving LLMs got ~10× cheaper — it reshuffles who can compete.

The Fed leans dovish

Rate-cut odds jumped; risk assets caught a bid across your feeds.

Trending radar catches it before it peaks

Last 48h
🔥 2 heating
🔥 Heating
Inference pricing resets who can compete
9 mentions · 9 sources · ×3 vs prior window
Covered by: The Verge, Stratechery +7
🔥 Heating
Error correction clears a hardware milestone
6 mentions · 6 sources · ×2 vs prior window
Covered by: Nature, Quanta +4

Track what matters — a ticker, a topic, a rival

NVDA · 7d
4× usual
Media mentions12 today · usually 3
7 days agotoday
Sentiment
PositiveNegative
turned in the last 48 hours
First to report
Bloomberg
6h ahead of the next source

One account, many personas

Your work self, your investor self, your side-obsession self — in Feedpik each is a persona with its own RSS feeds and ranking.

Finance
The Investor
230 sources · Policy v3
Markets, earnings, and macro
AI research
The Researcher
258 sources · Policy v9
Papers, models, and benchmarks
Entertainment
The Fan
124 sources · Policy v2
Releases, reviews, and buzz

The Feedpik Persona Community

A Persona is a recipe: hand-picked RSS feeds plus a tuned ranking policy. Install one and your Feedpik feed is instantly expert-grade. Publish yours and build a following.

Markets & Macro
by maya · 240 sources · 340 installs

Central banks and the earnings that move indices. Primary sources over hot takes.

📖 Includes reading behaviorBloomberg - MarketsWSJ - MarketsThe Economist+237
Get this persona (240 sources + algorithm)
Creator Signal
by devin · 180 sources · 212 installs

Platform shifts and audience growth. Long essays over engagement bait.

StratecheryPlatformerThe Diff+177
Get this persona (180 sources + algorithm)
AI Frontier
by kenji · 320 sources · 486 installs

Model releases and the papers behind them. Research over launch-day hype.

📖 Includes reading behaviorOpenAI NewsHugging Face BlogLatent Space+317
Get this persona (320 sources + algorithm)
Crypto & Web3
by rui · 150 sources · 158 installs

Protocol upgrades, on-chain data, and regulation. Research over influencer noise.

CoinDeskDecryptEthereum Foundation Blog+147
Get this persona (150 sources + algorithm)

AI that reads alongside you

Quantum error correction can constantly recalibrate a processor
Ars Technica · 4 min read
Summarize
AI summary
  • · Calibration can reuse error-correction data — no separate pass.
  • · Removes qubit drift as a blocker for long algorithms.

AI summaries

One tap turns a long read into its key points — the gist in seconds, not minutes.

…whether we can make enough hardware qubits to connect into the error-corrected logical qubits we need, and how we generate the states for universal computation…

✦ Explain · logical qubits

Groups of physical qubits bundled with error correction so they behave as one reliable qubit.

AI explanations

Hit a term, a chart, or a bit of jargon? Get it explained in the article’s own context.

Does this apply to atom-based hardware?
No — drift is specific to manufactured qubits like superconducting ones. Atom-based qubits are identical by nature.
Grounded in this article

AI Q&A

Ask a question about the piece and get an answer grounded in the actual text — without leaving the page.

Draft workspace · 2 materials
Quantum error correction…Inference costs fell off a cliff
Generate draft
Why cheaper compute reshuffles the stack

Two shifts landed this week that point the same direction: the cost of…

Reading → draft

Pull the articles you care about into a workspace and generate a first draft from your sources.

Fair questions

Is this just another RSS feed reader?+

Under the hood Feedpik speaks RSS, Atom, and OPML — so you can pull in any source on the open web. But the point is what happens after: it works as an AI RSS feed reader, ranking everything for you and letting you (or your agent) control the ranking. Most readers show a raw timeline or a black box; Feedpik is an RSS feed you actually own.

How do I add an RSS feed?+

Paste the website address — Feedpik finds the RSS feed for you. If a site publishes several feeds you pick the one you want, and a direct RSS or Atom feed URL works too. Substack publications, podcasts, YouTube channels, Bluesky accounts, and Google News searches all resolve to a feed automatically.

Can I import the RSS feeds I already follow?+

Yes — export an OPML file from Feedly, Inoreader, NetNewsWire, or any other RSS reader and import it in one step. Feedpik exports OPML too, so your subscriptions are never trapped here either.

Will my reading history be shared when I publish a Persona?+

No — in Feedpik that is structurally impossible, not just a policy promise. A published Persona contains only RSS feeds and tuning parameters (weights, filters, prompts). Your reading behavior and interest vectors never leave your account.

Can I take my data with me?+

Yes. Your RSS feeds export from Feedpik as standard OPML, ranking policies export as JSON, and your behavior data is yours to view, edit, and delete. No lock-in by design.

How does my AI agent connect?+

Create a scoped Feedpik API key (read-only up to policy-tuning permissions — you choose). Any agent that speaks HTTP can pull candidates, record feedback, and propose policy changes. Every agent change creates a new version with an audit trail.

Finally, your data and your algorithm belong to you.

Feedpik is private by structure, not by promise