Compare/Kampala vs Marimo

AI tool comparison

Kampala vs Marimo

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.

M

Developer Tools

Marimo

Next-generation Python notebook

Ship

100%

Panel ship

Community

Free

Entry

Marimo is a reactive Python notebook that eliminates hidden state issues. Cells automatically re-run when dependencies change. Deployable as scripts or web apps.

Decision
Kampala
Marimo
Panel verdict
Ship · 3 ship / 1 skip
Ship · 3 ship / 0 skip
Community
No community votes yet
No community votes yet
Pricing
Free (early access)
Free and open source
Best for
MITM proxy that reverse-engineers any app into a stable, callable API
Next-generation Python notebook
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

Reactive execution eliminates the biggest Jupyter pain point — hidden state. Cells re-run when dependencies change.

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.

80/100 · ship

Finally, a Python notebook that doesn't produce unreproducible results. The reactive model is correct.

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

Marimo proves that notebooks can be reproducible. The deployment as web apps extends their utility.

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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Kampala vs Marimo: Which AI Tool Should You Ship? — Ship or Skip