Claude vs ChatGPT, token creep, and the $0 fix hiding in your stack

ByAndres Muñoz Last updated:

Everyone is looking to scale their AI stack, but only a few are doing it without blowing their budget. The others are spending all of it on credits and 5 tools doing the exact same thing.

We looked at our community and discovered how they’re scaling their AI stack without overspending. Here’s what the best are doing.

The best teams start with the outcome, not the tool

  • Most companies build their AI stack by browsing what’s available and reverse-engineering a use case for it (just like with SaaS a few years ago). The result is a costly stack full of solutions looking for problems.
  • The smarter approach is to be ruthlessly customer-first: start with a specific problem your customer or team faces, define what success looks like, and only then ask which tool gets you there.This will protect your cash.

AI credits are the subscription bill nobody budgeted for

  • Every prompt, every API call, every automated workflow running in the background is burning credits. It starts small and compounds fast. And most teams only notice when the monthly bill lands.
  • The companies keeping costs under control aren’t just monitoring usage after the fact. They’re setting hard limits per tool before the month starts, the same way you’d cap any other operating expense.
  • Treat AI credits like a utility bill, not a flat subscription.

Your stack is most expensive when two tools are solving the same problem

  • Most AI stacks don’t get bloated all at once. One person adds a tool, another adds a slightly different one for the same job, and six months later you’re paying for three overlapping solutions nobody fully owns.

🧠 How Businesses Stop Overspending on AI Tools

  1. Use our free subscription tracker (Sherlock) to instantly see all of your business’s software.
  2. Easily see duplicated or unused subscriptions.
  3. Set hard spending limits per vendor so AI credit costs never surprise you at the end of the month.
  4. Consolidate overlapping tools into one — and redirect that budget toward the tools actually driving outcomes.
  5. Revisit your stack every quarter. What made sense six months ago may already be redundant.

💸 New Deals on NachoNacho

🎤 From NachoTuesday: Why Your Financial Reports Don’t Reflect Reality And How to Fix It

Tracking your AI spend is only half the battle. If your accounting system was never built around how your business actually operates, the numbers you’re making decisions from are already incomplete. In our recent conversation with Darell Brown, Founder at ProProject Bookkeeping, we broke down how to start automating your accounting the right way. Click below to watch:

📊 ChatGPT or Claude? Which Subscription is More Popular?

OpenAI’s ChatGPT came first, but Anthropic’s Claude has become extremely popular recently.

We looked at our data and ChatGPT still holds the top spot as the most used AI subscription across our community. But Claude is closing the gap faster than any other tool in the category.

What’s interesting isn’t just the popularity contest. It’s what businesses are actually using each for. ChatGPT tends to show up as the default first purchase. Claude is showing up as the deliberate second.

Which one do you use?

🗽 New York Tech Week Event Schedule

We’re hosting a special NY Tech Week happy hour on June 2nd for SaaS and AI founders + VCs and you can’t miss it!

June 2nd – Register here to our NachoTuesday NYTechWeek Happy Hour >

In addition, we also partnered with Frontier House NYC for a curated Community Mixer event on June 3rd and Partner1 for a session on Marketplace and Community Led Growth on June 5th.

June 3rd – Frontier House NYC Community Mixer >

June 5th – Marketplace and Community Led Growth >

Best,
The NachoNacho Team

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