What Are Smart Feeds and How Does AI Filtering Work?

Updated

A smart feed is a saved, intent-based stream that pulls updates from multiple sources — X, Reddit, Hacker News, RSS, YouTube, news, podcasts, and newsletters — and uses AI to filter, summarize, and organize only the posts that match what you described. You set it up by describing the feed you want in plain English (or configuring sources and rules manually), and the system keeps watching and delivering matches on a schedule. It fits anyone who currently juggles 7+ apps and tabs to stay current and wants a single dashboard instead of manual per-platform checks.

How AI filtering differs from keyword search

Keyword search matches strings. Semantic filtering matches meaning and intent. That difference matters most when the words people use don't match the words you'd search for.

Dimension Keyword search AI semantic filtering
Match basis Exact terms and phrases Meaning and stated intent
Recall Misses paraphrases and slang Catches differently-worded posts
Ranking pressure Often sorted by popularity Can prioritize recall over popularity
Noise control Excludes by term blocklist Excludes by intent (e.g., tutorials, vendor promos)
Setup Build query strings Describe the feed in plain English

Zooi's own framing is explicit about this: you tell it what matters, and it watches X, Reddit, and the open web, then organizes the right posts into focused feeds. The example feed in its documentation asks for "real buying-intent questions from people in-market right now — including low-engagement posts and Reddit replies when the author's intent is clear," while excluding tutorials, vendor promos, advice-giving replies where the author isn't asking, and product launches that merely mention the space. It also states a preference to "prioritize recall over popularity — do not require minimum likes or replies."

That last point is the practical core of a smart feed. A post with two upvotes can be a better signal than a viral thread, and popularity thresholds silently delete exactly those posts.

Setting up a smart feed

The setup flow has two paths, and you can mix them.

Path 1 — describe it in plain English. Write the feed as a brief: who you're looking for, what counts as a match, and what to exclude. The more specific the intent and the exclusions, the less noise you'll get.

Path 2 — configure manually. Pick sources and rules yourself if you want tighter control. Zooi also offers templates as a starting point.

A useful description includes four parts:

  1. The person or situation — e.g., "people actively asking for help, recommendations, or vendors."
  2. The topic scope — e.g., "marketing agencies, project management tools, email automation."
  3. What to exclude — e.g., "no tutorials, vendor promos, or product launches that merely mention this space."
  4. Ranking preference — e.g., "prioritize recall over popularity; no minimum likes or replies."

Expected result: a focused feed that surfaces low-engagement but high-intent posts you'd otherwise never see, delivered on a schedule rather than on your memory.

Matching templates to goals

Zooi groups templates by the job you're trying to do. Pick by outcome, not by source.

Goal Template What it surfaces
Find buyers Demand Lead Finder People actively asking for solutions like yours; high-intent, recall-first
Win switchers Competitor Switchers Users considering leaving a competitor
Hear complaints Pain & Bug Monitor Users frustrated by a problem you solve — bugs, failures, workflow pain
Shape roadmap Feature Request Monitor "I wish X had Y" asks, capability gaps, integration requests
Track rivals Competitor Watch Competitor product updates, announcements, and complaints aimed at them
Read launch response Launch Reaction Monitor User reactions after your or a competitor's launch
Catch waves early Trend Alert Rising trends, so you can comment, create, or position first
Stay current Industry News Digest Daily curated news from your industry
Fuel content Audience Questions Questions your target audience keeps asking
Collect depth Content Curator Long-form threads, essays, and discussions on topics you care about

Zooi notes 12 more templates beyond these. If none fits, the plain-English path covers the same ground.

Common failure modes and how to adjust

Too much noise. Usually caused by a topic scope that's too broad or missing exclusions. Add explicit "I don't want…" lines — the same way the example feed rules out tutorials, vendor promos, and non-asking replies.

Missed low-engagement posts. Usually caused by a popularity threshold or a keyword-style match. Remove minimum likes/replies requirements and state that recall matters more than popularity.

Missed posts that use different wording. This is the keyword-vs-semantic gap. Describe the intent ("the author themselves is actively asking for help") rather than the vocabulary you expect.

Source gaps. A feed can only match what it can see. Check that the platforms where your audience actually posts are in the source coverage — X, Reddit, Hacker News, RSS, YouTube, news, podcasts, and newsletters are the listed set.

Stale or overwhelming delivery. If you're still checking each source manually, the feed isn't doing its job. Zooi's comparison table frames the alternative as automated scheduling and delivery versus remembering to check each source yourself.

What to verify before committing

  • Pricing and plan limits are not specified in the material here; check the pricing page for current terms rather than assuming a free tier.
  • Source coverage — confirm the specific platforms and feed types you need are supported.
  • Manual vs. described setup — decide whether you want plain-English intent feeds, manual rules, or templates, since the control tradeoff differs.
  • Recall vs. precision — decide up front whether missing a signal or reading extra noise is the worse outcome for your use case. That single choice drives most of your filter settings.