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AI video social-listening platform that scans social video content to surface untagged brand mentions, sentiment, and creator leads.
Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Vibe-coding builder creating full-stack apps by chatting with AI.
No public pricing
Free trial available
Free trial available
No public pricing
- ✦AI video analysis of audio, visuals, and captions
- ✦Untagged brand mention and UGC detection
- ✦Creator sourcing by niche, audience, and brand fit
- ✦Outbound comment engagement tracking
- ✦Competitive benchmarking across brands
- ✦Brand sentiment and safety monitoring
- ✦Workload-based configuration tuning
- ✦SQL query analytics and optimization suggestions
- ✦Schema optimization (duplicate/unused index detection)
- ✦24/7 automated health and security monitoring
- ✦One-command agent installation
- ✦Human approval required before applying changes
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦CodeFlying enables full-stack app creation via chat in minutes
- →Finding untagged user-generated content about a brand
- →Sourcing creators that match specific audience criteria
- →Measuring campaign impact across social video
- →Benchmarking a brand's social presence against competitors
- →Database teams reducing manual tuning workload
- →Hosting providers optimizing customer databases at scale
- →Engineering teams without a dedicated DBA fixing performance issues
- →AWS RDS users tuning managed database instances
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
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