Mentions, sentiment, and share of conversation — across the channels your buyers live on.
Social signal is where category shifts show up first. The brands cited by users on X, LinkedIn, Reddit, and Substack today are the brands AI engines cite tomorrow. Supercurve tracks your share of conversation against competitors, surfaces sentiment trends, and flags emerging topics before they hit Google.
Social as a leading indicator for everything else.
Social listening is usually treated as a vanity metric — count the mentions, screenshot the testimonial, move on. The brands that compound treat it as an early-warning system: when your share of conversation starts shifting in your category, that's a signal that AI search visibility, organic traffic, and pipeline are going to follow within 60-90 days. Either upward or downward.
Supercurve tracks your mentions across X, LinkedIn, Reddit, Substack, and other channels relevant to founder-led startups, scores sentiment, and benchmarks share of conversation against your top competitors. Supercurve shows where your brand stands today; Growth and above track movement so you spot category shifts before they affect your other dimensions.
Daily share-of-conversation tracking across the channels that matter.
Inside Supercurve, this capability runs every day with the signals below — connect your stack and it starts surfacing what's working and drafting the next move for your approval.
- Mention volume across X, LinkedIn, Reddit, Substack
- Sentiment classification (positive / neutral / negative)
- Share of conversation vs. top 3 competitors
- Emerging topic detection in your category
- Influencer / power-user mention tracking
- Buffer-integrated outbound social analytics
Social listening is one capability. The leverage is in running them together.
Common questions about Social listening.
No — Hootsuite and Sprinklr are publishing + workflow tools. Supercurve doesn't publish for you (we integrate with Buffer for that on Growth and above). Supercurve is the *listening* and *measurement* layer: who's talking about you, what they're saying, how that's moving against your category.
Reddit and LinkedIn by default. Other platforms aren't supported because their data access is restrictive and inconsistent. If your category lives on Discord or Slack communities, Supercurve can build custom tracking.
Brand-name disambiguation is its own problem — 'Supercurve' overlaps with mathematical and photography meanings. The system learns your brand entity over time using context signals (does the mention appear near your category words? near your competitors?) and confidence scores. You can also flag false positives manually and the model adjusts.