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AI-plus-human lead operations platform that captures, qualifies, routes, and nurtures B2B leads to increase booked demos.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
No public pricing
No public pricing
Free trial available
- ✦Multi-step lead capture forms with higher email capture rates
- ✦AI spam filtering and lead scoring against ICP criteria
- ✦Plain-English routing rules to match leads to the right rep
- ✦Automated no-show recovery via email and iMessage follow-up
- ✦Bi-directional CRM sync with Salesforce and HubSpot
- ✦Funnel analytics, audit trails, and agent observability
- ✦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
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- →B2B marketing teams wanting more demos booked from existing traffic
- →Sales ops teams needing automated lead routing rules
- →Companies wanting to recover and re-engage no-show leads
- →Enterprises requiring SOC 2/GDPR-compliant lead handling
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements