Diffyn VS Plainstack Teardown

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Plainstack Teardown's answer:

It runs entirely in your browser. Your billing export is never uploaded, never transmitted and never stored — you can disconnect from the internet after the page loads and it still works.

Every other tool in this category wants you to connect your AWS account or hand over an email before it shows you anything. This shows you the answer first and asks for nothing at all.

It's also diagnostic rather than descriptive: it doesn't just report what you spent, it names the specific patterns behind it — NAT Gateway charges hiding inside "EC2 — Other", Multi-AZ on databases that don't need it, storage with no lifecycle rules, steady workloads still on on-demand rates.

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

Plainstack Teardown's answer:

Honestly, for most teams it isn't an either/or — it's a first look.

CloudZero, Vantage and nOps are platforms: you connect an account, onboard, and pay monthly for ongoing visibility. If you need continuous cost monitoring across a large estate, that's what you should buy.

This is for the moment before that. Two seconds, no signup, no sales call, no connecting anything to your account. You find out whether there's anything worth chasing, and if there isn't, you've lost two seconds instead of a demo call and a trial.

It's free, and it stays free.

Diffyn's answer

React, Next.js, POSTGRESQL

Plainstack Teardown's answer:

Next.js, React and TypeScript, styled with Tailwind CSS, deployed on Vercel.

The analysis itself is plain client-side JavaScript — there is no backend, no database and no server-side processing of your file, which is what makes the privacy claim structural rather than a promise.

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Plainstack Teardown's answer:

Engineering leaders at small and mid-sized software companies — CTOs, VPs of Engineering, heads of platform or infrastructure, and technical co-founders.

Typically 10–100 people, running on AWS, spending somewhere between $5,000 and $50,000 a month, with nobody whose actual job is watching the bill. Large enough that the waste is real money; small enough that there's no dedicated FinOps function to catch it.

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

Plainstack Teardown's answer:

Plainstack runs flat-rate AWS cost audits. Doing that work, the same handful of problems turned up in account after account — the same services over-provisioned, the same settings left at defaults, the same things switched on for a launch and never switched off.

None of it needed a consultant to spot. It just needed someone to look.

So we built the free version of the first hour of an audit and put it in the browser, with no signup and nothing uploaded, because asking someone to hand over their billing data to find out whether they have a problem is a strange thing to require.

Plainstack Teardown's answer:

Plainstack Teardown is newly launched and we're not naming customers yet.