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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Lovable
✓ verifiedFreemium
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
35M visits/mo69K saves
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Prolific
✓ verifiedPaid
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
21M visits/mo
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clickworker
✓ verifiedPaid
Crowdsourcing platform using 8M+ global workers to deliver AI training data, labeling, surveys, testing and store checks.
1.8M visits/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦300,000+ verified, screened participants
- ✦300+ audience targeting filters
- ✦Representative and quota-based sampling
- ✦API and no-code survey tool integrations
- ✦AI-powered participant quality monitoring (Protocol)
- ✦Managed services with dedicated project teams
- ✦Access to vetted domain experts
- ✦8M+ verified global crowd
- ✦AI training data (image/video/audio/text) and annotation
- ✦Survey tools and respondents
- ✦Store checks and mystery shopping
- ✦Crowdtesting (web/app/games)
- ✦Tagging and categorization
- ✦Managed or self-service plus API
Use cases
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks
- →Sourcing AI training and labeled datasets
- →Running surveys and market research
- →Point-of-sale store checks
- →Crowdtesting apps and websites
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