Compare/Kampala vs Optio

AI tool comparison

Kampala vs Optio

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

K

Developer Tools

Kampala

MITM proxy that reverse-engineers any app into a stable, callable API

Ship

75%

Panel ship

Community

Free

Entry

Kampala, built by Zatanna AI (YC W26), is a macOS proxy tool that sits between your applications and the internet, intercepts every HTTP/HTTPS request, and automatically reverse-engineers the underlying API. It traces authentication chains — tracking tokens, cookies, and session state — and replays flows on demand, preserving original TLS fingerprints so services can't distinguish API calls from the real app. The key insight is that almost every app that lacks a public API still has a private one — and it's usually more stable than the UI. Kampala targets automation engineers, QA teams, and AI agent builders who need reliable machine-readable access to apps that haven't opened their APIs. Setup is a local MITM cert install; no cloud proxy involved. Currently macOS-only with a Windows waitlist. The team emerged from YC's Winter 2026 batch with backing from Y Combinator. Pricing is in early access, with a free tier planned for solo developers and paid plans for teams building production automations.

O

Developer Tools

Optio

Orchestrate AI coding agents in Kubernetes from ticket to PR

Ship

67%

Panel ship

Community

Free

Entry

Optio orchestrates AI coding agents inside Kubernetes pods, turning issue tickets into pull requests automatically. It handles sandboxing, resource allocation, and PR creation. Each agent runs in an isolated container with access to the repo and tools it needs.

Decision
Kampala
Optio
Panel verdict
Ship · 3 ship / 1 skip
Ship · 2 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free (early access)
Free / Open Source
Best for
MITM proxy that reverse-engineers any app into a stable, callable API
Orchestrate AI coding agents in Kubernetes from ticket to PR
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

This is the tool I've been building in-house at three different companies and never had time to productize properly. The auth chain tracing alone — tracking token refresh flows and session state automatically — would have saved me hundreds of hours. If it works as advertised, it's an instant ship for anyone doing integration work.

80/100 · ship

K8s-native agent orchestration is the right call — you get isolation, resource limits, and scaling for free. The ticket-to-PR pipeline is well-designed. My concern is the K8s prerequisite excludes most small teams, but if you already run K8s this slots right in.

Skeptic
45/100 · skip

Terms of service violations are a real concern here. Most apps explicitly prohibit automated access through their private APIs, and companies like LinkedIn and Instagram have sued over exactly this pattern. The MITM cert requirement also opens a broad attack surface. Wait for a clearer legal stance before building production systems on this.

45/100 · skip

Another "agents write your PRs" tool. The K8s orchestration is genuinely well-built, but the end-to-end success rate on non-trivial tickets is still low across all tools in this category. You will spend more time reviewing bad PRs than writing the code yourself.

Futurist
80/100 · ship

The long-term story here is about AI agents needing reliable access to every app humans use. We can't wait for every SaaS to ship an official API. Tools like Kampala are how AI agents will integrate with the existing software ecosystem for the next five years, until MCP-style universal interfaces catch up.

80/100 · ship

The future of software engineering is humans writing tickets and agents writing code. Optio is early but the architecture — isolated K8s pods per task, parallel agent execution, automatic PR creation — is exactly what the agent-native CI/CD pipeline looks like.

Creator
80/100 · ship

For social media automation and cross-platform content workflows this is a game-changer. Building automations for platforms with limited or expensive APIs has always required fragile browser scraping — having a stable API layer extracted from the real app traffic is a much better foundation.

No panel take

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