Feeds
Use the default Feed, create reusable Feeds from filters, update them, and review mentions from AI signals to archive and bookmarks.
The default Feed is your workspace stream of social matches (posts and comments) from every active listener. A Feed is also a reusable filtered stream you create from the default Feed, so you can reopen the same audience anytime.
Use Feeds for recurring workflows, for example "Competitor X this week," "High Fit Score LinkedIn only," or "Archive triage."
Open the default Feed from the app sidebar. Open a named Feed from Feeds in the sidebar. The same filter model also powers Analytics charts and CSV export.
Create a Feed
- Open the default Feed and set the filters the way you want them: platforms, time range, include or exclude terms, Fit Score, intents, and any other options your workspace uses.
- Use the Feed control in the feed UI to save or create a new Feed.
- Give the Feed a clear name so you and your team can recognize it later.
- Confirm. The Feed appears in your Feeds list for one-click access.
The editor captures your Sort by, Seen vs New, Fit Score, Platforms, Sentiment, Listeners, Keywords, Date posted, Include/Exclude intents, Subreddits, Languages, and the Feed name, the same dimensions you configured on the default Feed.
If you refine filters often, it helps to name Feeds after the intent (for example, "Q1 launch mentions") rather than the raw filter values.
Update a Feed
- Open the Feed you want to change.
- Adjust filters until they match what you want stored going forward.
- Click Update.
- Optionally rename the Feed if its purpose changed.
To avoid surprises for teammates who rely on a shared Feed, coordinate renames or large filter changes in your workspace when several people use the same Feed.
Feed layout
The Feed uses a two-pane layout:
- Mention list on the left. Each row shows platform, Fit Score, published time, author, AI summary, intent tags, and listener name. Selecting a row opens it in the detail panel. Viewed mentions appear de-emphasized unless selected.
- Detail panel on the right. The selected mention opens with full context, actions, AI signals, the native post preview, and response tools.
At the top of the page, the breadcrumb shows the current Feed name, total mention count, and active filter count. The top-right actions include Tour, Chat with Mentions, Export, and Listener actions when they apply.
Filter sidebar
The Filters rail sits on the side of the Feed. Use it to narrow the list, then save the current filter set as a named Feed when you want to reuse it.
| Section | What it does |
|---|---|
| Sort | Order of mentions, for example newest first or Fit Score high to low. |
| Fit score | Keep only mentions in selected Fit Score bands (high, medium, low). |
| Sentiment | Filter by sentiment buckets when sentiment scoring is available on your plan. |
| Seen vs new | Show all, only unseen (new), or only already seen. |
| Include intents / Exclude intents | Require or block AI-detected intent signals, for example Buying Intent or Comparison. |
| Include listeners / Exclude listeners | Restrict to (or hide) specific listeners. Hidden when you are already on a single-listener route. |
| Platforms | X, LinkedIn, Reddit, Bluesky, etc. |
| Include keywords / Exclude keywords | Match or exclude listener keyword hits. |
| Bookmark collection | Choose which saved collections to browse. |
| Include subreddits / Exclude subreddits | Reddit-only location filters (disabled when Reddit is not in play). |
| Date posted | Presets or custom range on when the post was published. |
| Languages | Keep mentions in selected detected languages. |
Mention detail panel
The detail panel is where you review and act on a selected mention.
Header actions
- Platform, Fit Score, and publish time appear at the top. Hover the time to see the exact timestamp.
- Viewed shows when you last opened or marked the mention as viewed. You can mark it as not viewed from the hover card.
- View opens the original post in a new tab and marks the mention as viewed.
- Bookmark adds or removes the mention from bookmark collections.
- Archive removes the mention from the default Feed into archive. Rules and undo behavior depend on how it was archived.
- Webhook sends a test delivery of this match to an endpoint you configured. See Webhooks.
AI signals
SnitchFeed's AI model adds structured context on top of the raw post:
- AI summary describes what the author wants and why the mention matters.
- Intent signals show why the mention may matter, for example Buying Intent, Pain Point, Content Opportunity, or Brand Mention.
- Sentiment shows the detected sentiment bucket for the mention.
- Fit Score shows how well the mention fits your brand context, listener intent, and ICP.
- Show more like this and Show less like this train future relevance. Choosing Show less like this also archives the mention.
Post preview
The post preview shows the native content for the platform: LinkedIn posts, X posts, Reddit posts or comments, Bluesky posts, and similar content. Listener keywords are highlighted in the body so you can see why the mention matched.
Response composer
The response composer sits below the post preview. Use it to draft a comment or DM with AI responses, switch response profiles, tweak settings, generate a draft, and copy or engage on the original platform.
Keyboard shortcuts are available while reviewing mentions: R jumps to the response composer, M toggles viewed status, and A archives the current mention.
Related
Brand Context
How SnitchFeed builds your workspace brand profile from your website and where to review or edit it for better AI scoring.
Bookmarks
Save mentions into color-coded collections, open them from the Feed (or listener and Feeds) with a collection filter, and manage collections from Bookmarks.