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AI Agents Infrastructure__model Hosting Inference__gpu Cloud RentalSoftware Development__code Generation__sql Query GenerationSoftware Development__code Generation__full Stack App GenerationAI Agents Infrastructure__model Hosting InferenceSoftware Development__code GenerationSoftware DevelopmentAI Agents Infrastructure
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Open Source Database Designs
✓ verifiedFreemium
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
👁 27K/mo
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Nscale
✓ verifiedPaid
Full-stack AI cloud offering GPU compute, inference, fine-tuning and sovereign data centers for large-scale AI and HPC workloads.
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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
👁 1.1M/mo
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Codeflying
✓ verifiedFreemium
Vibe-coding builder creating full-stack apps by chatting with AI.
👁 118K/mo
Pricing
No public pricing
No public pricing
No public pricing
Free: 0$
Basic: 25$
Advanced: 40$
Premium: 200$
Core features
- ✦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)
- ✦On-demand GPU and CPU compute
- ✦Autoscaling inference endpoints
- ✦Serverless fine-tuning pipelines
- ✦Managed Kubernetes and Slurm
- ✦AI-optimized storage and RDMA networking
- ✦Sovereign, sustainable data centers
- ✦Fleet operations and 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
- ✦CodeFlying enables full-stack app creation via chat in minutes
Use cases
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Large-scale model training and fine-tuning
- →Deploying inference at scale
- →Running HPC and GPU workloads
- →Sovereign or compliant AI infrastructure
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
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