Scores are directional signals derived from aggregated public data — not verified findings or investment advice. Methodology
Signal-based estimates from public data — not verified assessments. Learn more
Strong stress indicators — multiple sources point to elevated workplace strain.
Elevated risk signals — operational or reputational pressure patterns observed.
Signals suggest a mix of strong customer success narratives and significant security vulnerabilities, though confidence is moderate.
Patterns indicate a divergence between positive revenue growth stories and negative reports of data exposure via hardcoded API keys. Given the moderate confidence score of 48.5/100 and limited review volume, these signals should be interpreted with caution.
What this means
Strong signals of internal pressure and elevated operational risk. Worth monitoring closely.
AI-generated from public signals — may be incomplete.
Crease Group Tripled Revenue to $10 Million Just in 12 Month With ClickUp and AI Automation EIN News
ClickUp's Hardcoded API Key Exposes 959 Emails from Fortune 500 Giants CyberSecurityNews
Clickup.com page source contains hardcoded Split.io API key – data leak
All-in-one productivity platform combining tasks, docs, goals, whiteboards, and time tracking for teams to plan and track work.
Based on 24 signals across 1 source · snapshot 27 Sept 2026
Moderate: directional, may shift as more signals arrive.
Overall community sentiment for ClickUp is negative based on public signals as of 27 Sept 2026.
Based on 24 signals across 1 source
Scores are directional signals derived from public data — not certified assessments or recommendations. Confidence indicates data coverage, not accuracy. Learn how scores are calculated →
Derived from public sources such as news, filings, and reported events.
Productivity / SaaS industry average
This summary is generated from publicly available review and signal data. It is intended as an indicative overview only and should not be used as the sole basis for employment, investment, or business decisions. Signal volume and source diversity may limit representativeness.
AI summaries are generated from public signals and may not reflect the full picture.
Productivity / SaaS