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Product growth platform for SaaS teams building in-app onboarding, surveys, and analytics without engineering resources.
Gaming assistant recommending Steam backlog picks with playtime insights; fun niche tool.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Creative AI infrastructure giving studios access to 500+ image, video, 3D, and audio models plus custom brand-trained models.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
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- ✦No-code builder for tooltips, banners, spotlights, and onboarding flows
- ✦Event autocapture with funnel, trend, and cohort analytics
- ✦NPS, CSAT, and behavior-triggered in-app or email surveys
- ✦Unlimited session replay with rage-click and error detection
- ✦Lia AI agent that surfaces insights and can execute in-app changes
- ✦MCP server for connecting Userpilot data to other AI tools
- ✦Seamless Steam Integration
- ✦Backlog Insights (Quality Per Hour, Extended Play Ratio)
- ✦AI-Driven Game Recommendations
- ✦Custom Categories
- ✦Achievement Progress Tracking
- ✦Estimated Completion Times
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦Custom LoRA model training from 5-100 reference images
- ✦Access to 500+ models across 50+ providers
- ✦Visual workflow builder for multi-step generation pipelines
- ✦API-first and MCP-ready for agent integration
- ✦Batch generation at scale with reusable templates
- ✦One-click shareable apps built from workflows
- ✦SOC 2 Type II compliance and SSO
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- →Building guided onboarding flows to improve activation
- →Announcing and measuring adoption of new product features
- →Deflecting support tickets with proactive in-app guidance
- →Spotting at-risk or expansion-ready accounts from usage data
- →Sorting and prioritizing games in your Steam library based on ratings and playtime.
- →Identifying top-rated, short-duration games for quick gaming sessions.
- →Discovering hidden gems and RPGs worth the time investment.
- →Planning streaming schedules and content calendars based on completion estimates.
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Generating on-brand creative assets at scale
- →Building custom AI-powered creative workflows and apps
- →Comparing outputs across many AI models in one workspace
- →Automating batch content production for teams
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale