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Know exactly what you can afford before you shop.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | morgcalc.com | diffyn.com |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


MorgCalc is a free mortgage calculator that goes beyond principal and interest — it estimates property taxes by state, factors in PMI when your down payment is under 20%, and shows your full PITI payment against the 28% affordability benchmark lenders use. No signup required to get your numbers,...
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What each product offers, as listed by its team.


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As answered by people managing MorgCalc and Diffyn.
MorgCalc's answer
Most mortgage calculators either lowball the real payment by only showing principal and interest, or gate the full breakdown behind an email signup. MorgCalc shows the complete monthly payment — principal, interest, property tax, and homeowners insurance — using state-specific tax rates instead of a national average, and automatically factors in PMI when the down payment is under 20%. It also checks the payment against the 28% housing-to-income benchmark lenders actually use, so you know where you stand before talking to anyone. No signup required.
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.
MorgCalc's answer
The calculator itself is fully free with no email gate — you get the complete number immediately, not a teaser followed by a signup wall. It's also more accurate than calculators that only show principal and interest: MorgCalc includes property tax, insurance, and PMI by default, using real state-level tax data rather than a flat national estimate.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
MorgCalc's answer
the primary technologies is Next.js
Diffyn's answer:
React, Next.js, POSTGRESQL
MorgCalc's answer
Home buyers and prospective home buyers — especially first-time buyers — doing affordability research before contacting a lender or real estate agent. People checking whether they can afford a specific listing, comparing scenarios across different down payments or interest rates, or estimating what property tax and insurance will actually cost in their state.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
MorgCalc's answer
I built MorgCalc after running into the same problem with every existing mortgage calculator: they either underestimated the real payment by skipping taxes and insurance, or hid the full breakdown behind an email form. I wanted something that just showed the real number — instantly, accurately, and without a signup wall.
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.
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