Question 1

What is SignalScout?

Accepted Answer

SignalScout is a public signal intelligence workspace that scans public LinkedIn profiles and condenses posts, reactions, comments, and metadata into decision-ready stories. The Supabase-backed platform keeps activity history, usage metrics, and exports in one place while honoring privacy by never touching private data or credentials. Dashboards highlight momentum, cadence, themes, and creative mechanics so marketing, revenue, and executive partners can explain why a spike matters. You drop a profile URL, we fetch recent activity via Apify, normalize the results, and surface trust-first insights with filters, alerts, and export-ready summaries tailored to your team. This experience feels fast, reliable, and accountable.

Question 2

Who is it for?

Accepted Answer

SignalScout targets demand-gen, marketing, and intelligence teams that need defensible context from public LinkedIn activity without extra logins. Founder/operators, agencies, product marketers, and sales enablement coaches rely on it to vet creators, map competitors, and justify creative bets using shareable dashboards rather than spreadsheets. Community, revenue, and comms leaders use the platform to translate engagement into pipeline-ready language and teach their teams what a meaningful signal looks like. The product is designed to scale from start-ups to enterprise squads with role-based alerts, compliance-ready exports, and a signal-grade architecture that keeps every stakeholder on the same page across any time zone.

Question 3

What profiles can I scan?

Accepted Answer

Every public LinkedIn profile—whether a personal creator or a company page—is fair game as long as LinkedIn allows it to be viewed by anyone. SignalScout validates the URL, nominates the right Apify actor, and stores the resulting dataset so you can revisit it later. If LinkedIn shows an access block, the platform surfaces a warning and asks you to choose a different target. We never request credentials, so you can scan competitors, partners, or your leadership roster without getting approvals. The only limitation is LinkedIn’s visibility settings, not our product. We log the reason and block rewrites when violations appear.

Question 4

How do I run my first scan?

Accepted Answer

Create a SignalScout account or log in, paste a public LinkedIn URL into the homepage field, and hit Get signals. The app validates the URL, records a pending row in scrape_history, and invokes the edge function that queues the Apify actor with the right target type. The scraper returns the latest posts, comments, and reactions, the backend normalizes them, and you are routed to the dashboard when the job completes. You can re-run, export, or share the results instantly. The entire workflow is designed to take just a few minutes and requires no downloads. Welcome emails include extra help resources.

Question 5

How long does a scan take?

Accepted Answer

Most scans generally finish in a couple of minutes, but runtime depends on the number of posts, comments, and reactions as well as queue length. Once you submit a URL, the edge function starts the Apify actor, and the dashboard shows status updates so you know when the results arrive. Profiles with heavy commentary or long comment threads may take longer to sync, but SignalScout reserves the right amount of records, streams real-time progress, and notifies you as soon as the final dataset is ready. You can continue working while the job runs, and reruns use cached data when helpful.

Question 6

What data does SignalScout extract?

Accepted Answer

SignalScout pulls every publicly available signal from a LinkedIn scan: post text, author metadata, hashtags, media links, timestamps, comments, reaction totals, and details about the commentators. The scraper keeps track of impressions, media types, and the breakdown of reaction types, plus any newsletters or articles the profile shares. We also store follower counts, headline changes, company affiliations, and location/industry fields so you can spot trajectory. Everything flows into Supabase tables with timestamps, enabling filters by keyword, format, or time range and preserving the provenance of each record for compliance and auditing. Reports include normalized metrics plus raw rows for exports.

Question 7

What insights do I get?

Accepted Answer

SignalScout reshapes the raw data into narrative-ready insights. The dashboard surfaces momentum lines, cadence quality, format breakdowns, and topic resonance so you can compare which creative choices earned consistent attention. Automated modules highlight repeating themes, unique versus repeat engagers, author reply ratio, and comment quality to tell you whether a signal is conversational or broadcast-oriented. Filters let you isolate posts that exceed thresholds for likes, comments, or keywords, while alerts call out sudden upticks or sustained drops. The goal is to turn LinkedIn chatter into actionable cues you can explain to partners, clients, and leadership before the next review confidently.

Question 8

Can I export data?

Accepted Answer

Exports are part of every SignalScout workspace. Every scan page shows CSV and JSON download buttons to move raw posts, reactions, and comments into spreadsheets, BI tools, or automation flows as quickly as you like. Higher tiers unlock formatted reports, Google Sheets sync, and PDF-ready SignalScout digests that bundle the key metrics, trends, and checks for leadership. Exports inherit metadata such as timestamps, profile names, reaction breakdowns, and impressions so downstream teams can reproduce the same signal story. Filters let you tailor the timeframe, keyword, or media type before exporting, and the dashboard archives exports for easy reference automatically anytime.

Question 9

Can I set up recurring scrapes?

Accepted Answer

Pro customers can configure weekly automations so SignalScout reruns scans on selected profiles, refreshes the dataset, and updates insights without manual clicks. Choose the day, time, content depth, and whether you want to capture comments or reactions, then let the edge function reschedule the Apify actor accordingly. Automation runs behave like manual scans: they consume monthly credits, appear in history, and keep the statuses aligned for alerts, but you can reuse cached data when a clean recheck suffices. These scheduled jobs keep your most important signals moving while your team focuses on interpreting the trends instead of monitoring the queue.

Question 10

What happens if I hit my monthly limit?

Accepted Answer

When you reach the monthly credit limit, SignalScout pauses new scans and offers an immediate path to buy credit packs or wait for the next billing period. Credit packs are one-time add-ons that roll over, cover extra records, profiles, or enriched comments, and activate as soon as payment is confirmed. Free accounts can request temporary lifts for pilots, but otherwise the meter prevents further runs until the period resets. Settings includes a usage bar and alerts so you can anticipate the threshold and secure capacity before scans stop. The dashboard explains your options and links to the checkout experience immediately.

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