Sweepbase.net VS Diffyn

Sweepbase.net's answer

Most crypto card comparison sites rank the 5 to 10 cards that pay the biggest affiliate commission and ignore the rest. Sweepbase shows 139 cards with the same 35 data fields, whether they pay us or not. The fee tables are identical for every card, and the ones that do not pay a cent get the same visibility in filters and search as the ones that do.

No upsell, no paywall, no email wall. You can use the full site without typing a single character about yourself.

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.

Sweepbase.net's answer

Three reasons, in order of how much they matter.

First, the data is wider. 139 cards vs. 20 to 30 on most sites. That covers self-custody cards like Gnosis Pay, Zeal and Rebind, a bunch of regional neobanks, and niche no-KYC cards that the big sites skip because they do not pay a commission.

Second, the fee calculator. You punch in your monthly spend and see what a card actually costs you after cashback, not a marketing number. For two cards it also shows where the break-even is.

Third, every card page has a Report Error button. Crypto cards change their terms every few months. If you catch something out of date, one click gets it fixed, usually within a day.

Diffyn's answer:

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

Sweepbase.net's answer

Next.js 15 with the App Router, TypeScript 5, React 19. Zod for schema validation on card data, PapaParse for the CSV pipeline, Fuse.js for client-side fuzzy search.

Hosted on Vercel. Sentry for errors, Vercel Analytics and GA4 for traffic. Upstash Redis for rate limiting, Resend for the newsletter, html2canvas-pro for the share-a-card screenshots.

No database. Every card lives in a single CSV that gets parsed at build time and validated with Zod. Auditing data is as easy as opening a spreadsheet, which is the whole point.

732 unit tests in Vitest, Playwright for end-to-end. ISR on the home page with on-demand revalidation via a secret webhook whenever the CSV gets updated.

Diffyn's answer:

React, Next.js, POSTGRESQL

Sweepbase.net's answer

Mostly people who have some crypto and want to spend it without giving back 2 to 3 percent to the card issuer on every swipe.

Rough groups, in order of traffic share:

Travellers who got burned by FX markup on their old card and want to pre-check the real cost before applying again.

DeFi users who want a self-custody card (Gnosis Pay and the wrappers on top of it) and do not trust another custodial wallet with their keys.

Crypto holders new to cards who want a neutral, fee-first view before handing over KYC to another exchange.

Smaller groups: yield chasers comparing staking tiers, high spenders looking at premium metal cards, and people in emerging markets where regular cards are a pain to get.

Diffyn's answer:

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

Sweepbase.net's answer

I kept trying to answer simple questions like "which crypto card is cheapest if I spend 800 dollars a month on groceries and fly twice a year" and could not get a straight answer anywhere. Every existing comparison site had maybe 10 cards, affiliate-ranked, no calculator, and was full of "best of" lists that looked suspiciously alike.

Most review blogs read the same way: Crypto.com is best, Coinbase is best, Binance is best. Always depending on who paid that month.

So I built the thing I wanted to use. Started with 40 cards in a spreadsheet in February 2026, got to 139 cards by April. No funding, no team, just the site and a CSV that gets audited every month.

If a card is missing, people tell us and we add it. If a card is wrong, people hit Report Error and we fix it. Simple.

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.