Every headline, a thread.

You can think of WeSearch as Hacker News meets a real RSS reader meets a community Discord, with the surface of an editorial press magazine. Every news headline we pull becomes a stable landing page at /s/<slug> with its own threaded discussion. Comments persist across the hub feed and the story page, so jumping in at any point lands you in the same conversation.

What the discussion layer includes

• Threaded replies — reply to a specific comment and the thread indents up to a few levels.
• GIF picker — drop in a GIF from the GIF library at any point in a thread. Renders inline for everyone.
• Comment likes — "condone" a take you appreciate. Likes are visible on the comment, anonymous on the back end.
• Reactions on the headline — separately from comments, every story has 5 reactions: like, love, fire, laugh, think. Counts merge across the hub and the story page.
• Sort order — newest, most-liked, or most-replied — your call, not an algorithm's.
• Anonymous handles — you appear as a generated handle. Read more about anonymity here.
• Hot badge — when a thread crosses an engagement threshold, the headline gets a marker. Not an algorithm — just a count.
• Mute, delete, follow — delete your own comments anytime, follow voices you appreciate, mute the rest.

The Pulse tab

The Pulse tab surfaces the live community signal: 24-hour reaction totals, comment totals across the platform, hot stories, and an emoji-economy bar showing what people are feeling. Pulse is also where "Latest chatter" lives — a real-time stream of comments as they post.

How threading works under the hood

Each comment row stores an optional parent_id pointing to the comment it's replying to. Replies render indented up to depth-3 (deeper threads still work but flatten visually so the thread doesn't slide off the screen). Likes and replies are aggregated and surfaced in the comment header — no separate notification count to manage.

Discussion that doesn't poison itself

The combination of anonymous handles + no follower counts + no algorithm reward creates a discussion environment where the loudest takes don't win by default. People reply to specific points, GIFs serve as humor not aggression, and the thread tends to stabilize on substance. We moderate when something crosses a hard line, but most threads don't need it.

Why "aggregator + comments" is rare on the open web

Most major news aggregators don't include a comment system. Apple News doesn't. Google News doesn't. Flipboard doesn't (no per-story comments). Feedly doesn't. The structural reason is that comment moderation is expensive — moderating an active comment thread under news stories requires human attention, ongoing rule enforcement, and a willingness to handle abuse complaints. For an advertising-funded aggregator, the math rarely works: the ad revenue from comment-page traffic doesn't offset the moderation cost, and the brand-safety risk of a problematic comment surfacing under a news story makes advertisers nervous. The structural answer is "no comments."

WeSearch's funding model (donations, no advertisers) inverts this. Without advertiser-driven brand-safety pressure, we can run an active comment system. Without engagement-optimization, we can moderate based on principles rather than what keeps readers in the app. The comment layer is part of the product because the funding model allows it.

What kinds of stories get good discussion

Empirically, the threads that develop substantive discussion fall into a few patterns: technical or scientific stories where readers with relevant expertise add detail; political stories where the chronological merge of multiple sources gives readers something concrete to compare; international stories where readers from the relevant region add context the foreign desk missed; long-form features where readers share which parts they found most useful. Stories that don't develop substantive discussion: very short wire copy with no analytical hook; celebrity gossip; very local stories without cross-region resonance.

The hub doesn't try to predict in advance which stories will develop good threads — every story page has the discussion infrastructure available. Readers vote with their attention; the threads that develop, develop.

Bottom line

• WeSearch is one of the few free news aggregators with a real discussion layer built in.
• The combination is structurally rare because advertising-funded aggregators can't afford to moderate comments.
• Anonymous-by-default and no-follower-count make the discussion environment more substantive than typical social-platform comments.
• Not every story develops good discussion; the hub provides the infrastructure and lets readers decide where to engage.

Frequently asked