Track LinkedIn and X profiles
Follow LinkedIn people, LinkedIn company pages and X accounts on a listener so their new posts land in your feed, even without a keyword match.
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Tracked profiles let a listener follow specific LinkedIn or X (Twitter) accounts, either a person or a company page, and collect their new public posts. Unlike keyword terms, these posts do not need to match a search query.
Use tracked profiles when you care about a known account, such as a competitor's company page, an analyst, a founder or a partner, rather than a topic. A listener can also be profile only: tracked profiles and no keyword terms.
Not the same as author filters
Authors (Tracked Profiles) follows an account and collects its posts. Authors (Keyword Tracking) only limits or blocks keyword matches by account. Both live in the listener's Authors section. See Create a listener.
Counts toward your plan limit
Each tracked profile uses one slot from the same plan allowance as keyword terms. See Plans, billing and credit top-ups.
What you get
- Posts from each tracked profile appear as mentions on that listener, even when they match no keyword.
- These mentions are scored like any other, with a Fit Score, intent tags and sentiment, using the listener's intent signal.
- Feed items and the mention detail panel show a Tracked Profile label.
- In feeds, the Tracked Profiles filter shows mentions from the accounts you pick.
- Notifications work as for keyword matches: a feed sends a tracked profile post if it passes that feed's filters. See Set up notifications for a feed.
Supported platforms
| Platform | Profile types | How you add it |
|---|---|---|
| Person or company page | Paste the public profile or company URL | |
| X | User account | Paste the public profile URL |
Reddit, Bluesky and Hacker News accounts cannot be tracked. Keyword terms still cover those platforms.
Add tracked profiles
Open the Authors section
Open Listeners, pick a listener or click Create a new Listener, and select Authors.
Paste a profile URL
Under Authors (Tracked Profiles), paste a LinkedIn or X profile URL and press Enter. SnitchFeed looks up the account and shows its name and avatar so you can confirm it is the right one.
Save the listener
Add as many profiles as you need, then click Save. SnitchFeed fetches each new profile's posts right away, then again on the listener's scan interval for that platform: the X interval for X profiles and the LinkedIn interval for LinkedIn profiles.
To stop following an account, click the x on its chip and save the listener.
If SnitchFeed has trouble fetching a profile's posts, the chip turns red. Hover it to see the status: it retries automatically while the listener is active, and waits while the listener is paused.
Credits
Each profile fetch costs a flat amount, whatever the number of posts returned:
| Fetch | Credits |
|---|---|
| LinkedIn person posts | 4 |
| LinkedIn company posts | 4 |
| X posts and replies | 2 |
Each stored mention is also charged the normal AI scoring cost. See Credits and usage.
Monthly estimate for one tracked profile:
credits ≈ (24 ÷ scan interval in hours) × 30 × credits per fetchExample: one LinkedIn company page on the default 12 hour LinkedIn interval: (24 ÷ 12) × 30 × 4 = 240 credits per month. The listener editor includes tracked profiles in its Required credits/mo estimate.
Tips
- Use a separate listener for profile tracking, for example "Competitor: Acme company page", when you want its own feed and alerts.
- Pair tracked profiles with a clear intent signal so Fit Score still ranks the useful posts from busy accounts.
- Paste the canonical public URL: LinkedIn
/in/...or/company/..., Xx.com/...ortwitter.com/.... - Only from these authors and Never from these authors apply to keyword matches only, not to tracked profile posts.
Related
- Create a listener: where the Authors section sits in setup.
- Scan intervals, pausing and historical backfill: how often profiles are fetched.
- Credits and usage: the full cost table.
- Feeds: filter mentions by tracked profile.
- MCP concepts: tracked profiles are called tracked authors in MCP tools.
Write an intent signal for better Fit Scores
The intent signal (200 to 500 characters) tells SnitchFeed which posts you want. Optional noisy signals say what to score down. Examples and limits.
Scan intervals, pausing and historical backfill
How often SnitchFeed scans X, LinkedIn and Hacker News for each listener, what scans cost in credits, how pausing works and what historical backfill fetches.