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I'm Swapnil, and I've been building AI agents for the past year. After the 10th time setting up the same infrastructure (Kubernetes, LLM routing, secrets management, monitoring), my co-founder and I decided to build the platform we wished existed.

Phinite is a developer-first platform for building, deploying, and orchestrating AI agents.

*Core features:*

- FlowGen Studio: Visual workflow builder for agent orchestration (think n8n meets LangChain) - Developer Studio: Full IDE for custom tools with AI copilot assistance - One-click deployments to managed Kubernetes - Multi-environment support (DEV/UAT/PROD) with secrets management - 50+ pre-built integrations (Slack, JIRA, Salesforce, etc.) - Built-in observability and cost tracking

*Technical architecture:*

- Cloud-agnostic (AWS, GCP, Azure, or on-prem K8s) - Auto-scaling pod orchestration - Microservices architecture with service mesh - WebAssembly-based runtime for tool execution - Vector DB integration for RAG workflows

*Why we built it:*

Most AI agent frameworks are either too low-level (write everything in Python) or too constrained (no-code boxes that break when you need custom logic). We wanted something that works for both the "I need this done in 5 minutes" and "I need full control" use cases.

*Pricing:*

- $10 free credits (no credit card) - Pay-as-you-go: $20 base + usage-based pricing - Self-hosted option coming soon

*What we're looking for:*

- Feedback on the developer experience - Performance benchmarks vs. self-hosted solutions - Use cases you'd build (or wouldn't build, and why) - Technical deep-dives you'd like to see

We're currently in UAT with 100+ beta testers and opening to the public today.