Engagement Metric Filter

Engagement Community connects LinkedIn users with a curated pool of professionals who provide authentic comments and likes on submitted posts. Scheduled sessions distribute posts to 15 active members, delivering consistent, staggered engagement for personal profiles or company pages.

Tweet-Optimize predicts 24-hour Twitter views, likes, retweets, and comments using account context (follower count, verification), provides engagement-rate estimates and percentile rankings, and supports A/B comparison and performance tracking for optimizing posts and workflow automation.

##devActivity is a GitHub‑integrated analytics tool that collects only commit and issue metadata to provide AI‑driven insights on cycle time, bottlenecks, and team performance. It automates reviews, retrospectives, and gamified engagement for developers and managers.

B2Metric consolidates event, transactional, and behavioral data into a single source, enabling AI‑driven segmentation, churn prediction, and LTV modeling. Real‑time funnel analytics and multichannel campaign tools optimize conversions without manual data prep.

Comment Explorer lets users upload a YouTube video ID to harvest comment data, extracting metrics like likes, replies, and engagement. It offers sentiment and emotion analysis, keyword filtering, and sortable tables for creators, marketers, and researchers.

Lava Metrics syncs automatically with HubSpot to deliver real‑time, unified pipeline reports. It tracks deal velocity, sales cycle length, conversion rates, and cohort studies, and lets teams set and monitor monthly revenue targets for data‑driven decision making.

GEO Metrics analyzes AI-generated answers across ChatGPT, Gemini and other LLMs to track visibility, content performance, model-specific ranking signals and keyword relevance, and provides optimization recommendations, competitor comparisons, A/B testing workflows and reporting for content teams.

Augmeta Causal Intelligence continuously monitors funnel KPIs, identifies causal drivers, and automatically triggers corrective actions to close revenue leaks. It keeps funnel health optimal, reduces manual work, and ensures steady revenue flow with secure, scalable infrastructure.