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Analytics and payout platform for tracking UGC creator performance and managing campaigns across TikTok, Reels, and Shorts.
Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.
Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
No public pricing
Free trial available
No public pricing
No public pricing
No public pricing
- ✦Cross-platform UGC analytics for TikTok, Reels, Shorts, and Facebook Reels
- ✦No-login tracking of any public creator or competitor account
- ✦Campaign management with creator rosters and posting checks
- ✦Automated CPM/CPA/milestone-based creator payouts and invoicing
- ✦AI-based trend and hook analysis from a video library
- ✦API and integrations with Slack, Discord, and n8n
- ✦AI-powered Excel and Google Sheets formula generation
- ✦VBA & Apps Script generation
- ✦Regular Expression generation and explanation
- ✦ChatGPT messaging with system prompts
- ✦Multiple language support
- ✦AI-assisted data annotation tools
- ✦Training-data platform (BasicAI Cloud)
- ✦Team and project management
- ✦Annotation services
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- →Brands tracking and paying UGC creators across platforms
- →Marketing teams monitoring competitor short-form video performance
- →Agencies managing multiple influencer campaigns from one dashboard
- →Growth teams researching viral video trends for creative briefs
- →Financial modeling
- →Data cleansing and transformation
- →Statistical analysis
- →Inventory and supply chain management
- →Forecasting
- →Automating repetitive tasks
- →Generating copy for outbound sales campaigns
- →Labeling images and data for ML models
- →Managing annotation teams and projects
- →Producing training datasets at scale
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals