AI-Powered Monitoring

Monitor Every Mention Across Reddit, X, Bluesky, YouTube & Hacker News

Stop finding out about brand mentions days too late. SocialCal's social listening tracks keywords across five platforms in real time, scores relevancy with AI, and delivers a prioritized feed so you never miss a conversation that matters.

Social Listening
Total Mentions
284
+47 this week
Avg. Relevancy
0.76
High signal
Sentiment
68%
Positive
Unread
23
New mentions
u/techreviewer2h ago

Has anyone tried SocialCal for scheduling?

Positive
0.92
score
paulg4h ago

Show HN: We built a social scheduler that...

Neutral
0.87
score
@sarah.bsky6h ago

Just switched from Buffer to SocialCal and...

Positive
0.84
score
TechWithTim1d ago

Best Social Media Tools 2026 - Full Review

Positive
0.78
score
@marketer_pro1d ago

The listening feature on @socialcal is actually...

Mixed
0.71
score
Showing 5 of 284 mentions
Sort by: Relevancy

How It Works

Get started in minutes with a simple, intuitive workflow.

1

Add Your Keywords

Enter your keywords — your brand name, product names, competitor names, or industry terms. Professional plans include up to 3 keywords, and Enterprise plans support up to 7. SocialCal begins scanning Reddit, X, Bluesky, YouTube, and Hacker News immediately. No API keys to configure, no webhooks to set up.

2

AI Scores Every Mention

Every mention is analyzed by GPT-powered relevancy scoring on a 0-to-1 scale. A Reddit thread casually dropping your brand name in a comparison list scores lower than a Hacker News post dedicated to reviewing your product. You see the highest-signal mentions first, not a firehose of noise.

3

Review Your Mentions Feed

Browse mentions in a clean, filterable feed. Sort by relevancy score, sentiment, platform, or date. Mark mentions as read, star important ones for follow-up, or block specific authors and sources that generate noise. Every mention links directly to the original post so you can respond in context.

4

Get Daily or Weekly Digests

Configure email digests so you never have to check the dashboard manually. Choose daily summaries for fast-moving keywords or weekly roundups for broader industry monitoring. Each digest includes top mentions, sentiment trends, and a link to your full feed.

Key Benefits

Everything you need to work faster and smarter.

Five-Platform Coverage

Monitor Reddit, X (Twitter), Bluesky, YouTube, and Hacker News from a single dashboard. These are the platforms where real product conversations happen — not just promotional posts.

AI Relevancy Scoring

Every mention gets a 0-to-1 relevancy score powered by OpenAI GPT. Filter out noise instantly and focus on the mentions that actually require your attention or represent opportunities.

Sentiment Analysis

Each mention is classified as positive, negative, neutral, or mixed. Spot sentiment shifts early — catch a wave of negative feedback before it becomes a crisis, or amplify positive conversations while they are trending.

Smart Email Digests

Receive daily or weekly email summaries with your top mentions, sentiment breakdown, and trending keywords. Stay informed without logging into the dashboard every morning.

Mentions Analytics

Track mentions over time, broken down by platform and sentiment. See whether brand awareness is growing, which platforms generate the most discussion, and how sentiment trends shift week over week.

Author & Source Blocking

Block specific authors, subreddits, or channels that consistently generate irrelevant mentions. Your feed stays clean and your relevancy scores stay meaningful over time.

MENTIONS FEEDAll PlatformsRelevancy ↓All Sentiment5u/techreviewerHas anyone tried SocialCal?positive0.92scorepaulgShow HN: Social scheduler...neutral0.87score@sarah.bskySwitched from Buffer to...positive0.84scoreTechWithTimBest Social Media Tools 2026positive0.78score@marketer_proThe listening feature is...mixed0.71scoreShowing 5 of 284 mentions

Your Mentions Feed: Every Conversation in One Place

Section 1 of 4

The mentions feed is the heart of SocialCal's social listening. Every mention matching your keywords appears in a unified, chronological stream with platform icons, relevancy scores, and sentiment badges visible at a glance.

Filter by platform to see only Reddit threads or only Hacker News posts. Filter by sentiment to surface all negative mentions that might need a response. Sort by relevancy score to see the highest-signal conversations first, or sort by date to monitor the latest activity. Each mention shows the author, the source context (subreddit, YouTube channel, Bluesky handle), and a preview of the content.

Mentions support read and unread states so you can track what you have already reviewed. Star important mentions for follow-up — they appear in a dedicated starred view so nothing slips through the cracks. Click any mention to jump directly to the original post on the source platform, ready for you to engage.

We caught a viral Reddit thread about our product within hours instead of days — and turned a complaint into a case study.

SENTIMENT ANALYSIS68%PositivePositive68%Neutral18%Mixed8%Negative6%Sentiment TrendLast 30 daysW1W2W3W4

Sentiment Analysis: Understand the Tone, Not Just the Volume

Section 2 of 4

Knowing that you were mentioned 150 times this week means nothing if you do not know whether those mentions are praise or complaints. SocialCal classifies every mention into four sentiment categories: positive, negative, neutral, and mixed.

The sentiment distribution chart on your analytics dashboard shows the breakdown at a glance. A healthy brand typically sees 40-60 percent neutral mentions (informational references), 20-30 percent positive, and under 10 percent negative. When that ratio shifts — a spike in negative sentiment after a product launch, for example — you will see it immediately in the chart before it becomes a trend.

Sentiment analysis pairs with platform filtering to answer targeted questions: "What is the sentiment of Reddit mentions this month?" or "Are YouTube comments about our brand trending more positive after the latest update?" These insights turn raw mention data into strategic intelligence.

Sentiment shifted from 60% neutral to 35% negative after our pricing change — we caught it in the daily digest and adjusted messaging the same day.

KEYWORD MONITORING3Active keywords3 of 7 usedSocialCalActiveMentions142Velocity+12/dayPlatformsCompetitor XActiveMentions89Velocity+8/dayPlatformssocial schedulerActiveMentions53Velocity+3/dayPlatforms+ Add keyword

Keyword Radar: Track What Matters Most

Section 3 of 4

Professional plans include up to 3 keywords, and Enterprise plans support up to 7 — each monitored independently across all five platforms. Even on the Professional plan, 3 keywords translates to 15 active monitoring streams. Track your brand name, your top competitor, and your product category simultaneously — all with separate mention counts, sentiment breakdowns, and trend lines.

The keyword management screen shows each keyword's mention velocity: how many mentions per day or week it generates across each platform. If your competitor's name suddenly spikes on Hacker News, you will know about it. If your brand name starts appearing more frequently on Reddit, you can investigate whether it is organic buzz or a specific thread driving volume.

Platform-aware throttling ensures sustainable API usage without missing important mentions. YouTube is scanned four times per day, Reddit once per day, X twice per day, and Bluesky and Hacker News are monitored continuously. These intervals are optimized to balance coverage with API rate limits — you get comprehensive monitoring without hitting platform restrictions.

EMAIL DIGESTSSocialCalWeekly Listening DigestMar 24, 2026New Mentions47Avg Score0.81Sentiment72%+Top mentions: “SocialCal”u/techreviewerHas anyone tried SocialCal?0.92paulgShow HN: Social scheduler with...0.87@sarah.bskySwitched from Buffer to...0.84Sentiment this weekView All Mentions →

Email Digests: Intelligence Delivered to Your Inbox

Section 4 of 4

Not everyone wants to check a dashboard every day. SocialCal's email digests deliver your social listening intelligence directly to your inbox on a schedule you choose — daily for high-priority keywords, weekly for broader monitoring.

Each digest email includes a summary of new mentions since the last digest, grouped by keyword. The top mentions by relevancy score are highlighted with direct links to the source. A sentiment summary shows whether the overall tone has shifted since the previous period. Platform distribution data tells you where conversations are happening most actively.

Digests are especially valuable for founders and executives who need to stay informed about brand perception without spending time in the dashboard. Configure a weekly digest for your brand name and a daily digest for your most critical competitor — the right intelligence reaches you at the right frequency.

Our CEO reads the weekly digest every Monday morning — it takes five minutes and replaces an hour of manual searching across platforms.

Who It's For

Built for professionals who take social media seriously.

Startup Founders

Monitor your brand, competitors, and product category across Reddit and Hacker News. Catch early user feedback, respond to complaints before they go viral, and discover organic advocates to amplify.

Founder tracking brand perception and competitive landscape

Community Managers

Stay on top of every brand mention across platforms without manually checking each one. Use sentiment analysis to prioritize responses — address negative mentions first and engage with positive advocates.

Community manager responsible for brand reputation

Marketing Agencies

Set up keyword monitoring for each client's brand and competitors. Include listening insights in monthly reports to demonstrate proactive reputation management and competitive intelligence.

Agency team managing multiple client brands

Product Managers

Track mentions of your product features and competitor features. Discover what users praise, what frustrates them, and what they wish existed — direct from unfiltered conversations on Reddit, YouTube, and Hacker News.

Product manager gathering user feedback at scale

SocialCal vs Manual Monitoring

See how SocialCal stacks up against the alternative.

Feature
SocialCal
Manual Monitoring
Five-platform coverage from one dashboard
AI-powered relevancy scoring
Automated sentiment analysis
Email digests (daily/weekly)
Author and source blocking
Track up to 3–7 keywords (by plan)
Ad hoc
Mention analytics over time
Time investment per week
5 minutes
3-5 hours

Social Listening FAQ

Common questions about Social Listening in SocialCal

SocialCal monitors five platforms: Reddit, X (Twitter), Bluesky, YouTube, and Hacker News. These were selected because they are where authentic product and brand conversations happen most frequently — forums, social feeds, video comments, and tech communities.
Professional plans include up to 3 keywords and Enterprise plans support up to 7. Each keyword is monitored independently across all five platforms, so even 3 keywords means 15 active monitoring streams. You can change your keywords at any time.
Every mention is analyzed by OpenAI GPT to determine how relevant it is to your keyword on a scale from 0 to 1. A passing mention of your brand in a list scores lower than a dedicated review or discussion thread. This lets you filter out noise and focus on the mentions that actually matter.
Scanning frequency varies by platform to respect API rate limits. Bluesky and Hacker News are monitored continuously. X (Twitter) is scanned twice per day. YouTube is scanned four times per day. Reddit is scanned once per day. These intervals ensure comprehensive coverage without hitting platform restrictions.
Social listening is available on the Professional and Enterprise plans. It is not included in the Starter plan. You can upgrade your plan at any time from the billing dashboard to unlock listening features immediately.
Yes. If a specific Reddit user, subreddit, YouTube channel, or other source consistently generates irrelevant mentions, you can block them from your feed. Blocked sources are excluded from future results and do not affect your sentiment analytics or relevancy scores.

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