aicoolies logo
Porter logo

Porter

Heroku-like PaaS built on Kubernetes with YC backing

Share
freemiumOpen Source
Visit Website →

Porter is a YC-backed platform-as-a-service that provides a Heroku-like deployment experience on top of Kubernetes. It abstracts away cluster management while giving teams full access to underlying infrastructure when needed. Supports deploying from Git repos, Docker images, or Helm charts with automatic HTTPS, scaling, and preview environments. Runs on AWS, GCP, or Azure.

Porter targets the gap between fully managed PaaS platforms like Heroku that sacrifice control for simplicity, and raw Kubernetes that provides complete control at the cost of operational complexity. The platform provisions and manages Kubernetes clusters on AWS, GCP, or Azure, then provides a Heroku-style deployment interface where developers push code from Git repositories, Docker registries, or Helm charts and Porter handles building, deploying, and scaling automatically.

The deployment experience includes automatic HTTPS certificate provisioning, horizontal auto-scaling based on CPU, memory, or custom metrics, preview environments for pull requests, and rollback capabilities. Porter's web dashboard provides visibility into deployment status, resource consumption, and application logs without requiring kubectl knowledge. When teams need capabilities beyond the PaaS abstraction, they can access the underlying Kubernetes cluster directly, avoiding the vendor lock-in that constrains traditional PaaS platforms.

Backed by Y Combinator's W21 batch, Porter has attracted teams that outgrew Heroku's pricing or capabilities but were not ready to take on full Kubernetes operations. The platform handles cluster upgrades, node management, monitoring stack deployment, and security patching, effectively providing a managed Kubernetes experience with a developer-friendly interface. With over 4,000 GitHub stars, Porter competes with Render, Railway, and Fly.io by offering the unique combination of PaaS convenience with Kubernetes flexibility.

Pricing

Free tier; Pro from $30/month per cluster

Platforms

AWS, GCP, Azure, Kubernetes, Git deployment

Categories

Tags

Use Cases

Alternatives

Related Tools

KubeAI

Kubernetes operator for serving AI inference workloads

KubeAI is an Apache-2.0 Kubernetes operator for deploying and scaling AI inference workloads, including LLMs, embeddings, reranking, and speech-to-text. It gives platform teams OpenAI-compatible endpoints, model proxy/controller primitives, model caching, scale-from-zero behavior, and cluster-native resource management for self-hosted inference on Kubernetes.

open-sourceOpen Source

CLIProxyAPI

Self-hosted proxy API for routing AI CLI accounts into OpenAI-compatible endpoints

CLIProxyAPI is an open-source Go proxy server that wraps Gemini CLI, Claude Code, OpenAI Codex, Grok Build, and related CLI account flows behind OpenAI/Gemini/Claude-compatible API endpoints. Use it carefully: it can touch OAuth sessions, auth files, logs, and provider account policies, so production use needs credential and ToS review.

open-sourceOpen SourceTelemetry
OpenHuman logo

OpenHuman

Local-first personal AI agent with memory trees, desktop integrations, and private workspace context.

OpenHuman is an open-source, local-first personal AI agent from TinyHumans. It combines a desktop app, persistent memory trees, Obsidian-compatible storage, OAuth integrations, and local model support into a private assistant harness. It is most interesting for users who want agentic workflows and long-term memory without handing every context detail to a fully cloud-hosted assistant.

open-sourceOpen SourceTelemetry
DenchClaw logo

DenchClaw

Local AI CRM and workflow automation on OpenClaw

DenchClaw is a local AI CRM and workflow automation app built on OpenClaw. It runs on a Mac at localhost, lets users chat with local business data, and focuses on lead enrichment, founder/customer research, and outreach automation. It belongs beside local AI, workflow automation, and OpenClaw-style personal-agent tools rather than pure coding IDEs.

open-sourceOpen Source
Traceway logo

Traceway

OpenTelemetry-native observability with AI tracing, logs, traces, metrics, and session replay — self-hosted in 90 seconds.

Traceway is an open-source, OpenTelemetry-native observability platform that combines logs, traces, metrics, exceptions, session replay, and AI tracing in a single self-hosted system. MIT licensed with no open-core restrictions, it deploys in 90 seconds via Docker Compose and accepts OTLP/HTTP from any OTel SDK without a Collector or per-language vendor SDK.

open-sourceOpen Source
Freestyle logo

Freestyle

Sandboxes for coding agents — Linux VMs, Git, and deploys in one box

Freestyle is YC-backed sandbox infrastructure built for AI coding agents, shipping secure Linux VMs with nested virtualization, Git servers, and one-click web deploys. It lets agents run real workloads, branch repos, and deploy apps under short-lived identities while billing only for active compute. Used in production by vly.ai, Rork, and Vibeflow.

freemium