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Built a 5-Minute Revenue Leak Diagnostic for SaaS: Currently Looking for 5 Beta Testers

Hi IH Community,

To those who don't know, I built QuietCost - a tool that quantifies hidden revenue leaks in SaaS companies in under 5 minutes. No sign-up, no integrations, no data sharing.

The problem I'm solving:
Most SaaS teams between $1M–$5M ARR are losing meaningful revenue to leaks they can't see — activation gaps, pre-churn behavior, failed payments, stalled expansion. They're tracking this in spreadsheets and gut feel. QuietCost surfaces the leaks and shows exactly what to fix first.

Where it's at:
Pre-revenue MVP. Built on Lovable. The diagnostic works end-to-end. You can try it live here: quietcost.lovable.app

What I need:
I'm looking for 5 SaaS founders or RevOps leaders to run a free 15-minute revenue leak audit.
In exchange, you get:

  • A 1-page report identifying your top 3 revenue leaks
  • Estimated recovery value for each leak
  • A prioritized fix playbook
  • Early access to the automated churn prediction module (next on the roadmap)

What I ask in return:

  • 30 minutes of your time for the live audit
  • Honest feedback on the output
  • Permission to publish an anonymized case study

Who this is for:

  • B2B SaaS companies with $1M+ ARR
  • Teams without a full RevOps hire yet
  • Founders who suspect they're losing revenue but can't pinpoint where

If this sounds like you (or someone you know), drop a comment or DM me. I'll pick 5 companies based on fit and get back to everyone within 48 hours.
Live demo: quietcost.lovable.app

Thanks for reading. Any feedback on the landing page or pitch is also welcome.

on August 9, 2026
  1. 1

    Congrats on shipping! Quick question on how it works under the hood—you mentioned zero integrations or data sharing, which is awesome for privacy/security. How does it actually calculate the leak numbers without connecting to something like Stripe or a database? Is it mostly based on user inputs + benchmark formulas? Also super cool to see another build powered by Lovable.

  2. 1

    The insight that lands here is that revenue leaks aren't invisible because they're hard to find - they're invisible because most teams have no measurement for them. Spreadsheets and gut feel aren't actually tracking leaks. They're tracking what you remember to write down.

    What you've done is make the invisible visible by building a measurement system for "where is money actually leaving." That's the foundational move. A team that can measure where revenue is leaking knows what to fix. A team that only knows "revenue is lower than expected" is stuck guessing.

    The leverage in this is that once a leak becomes visible, the fix becomes obvious. Activation gap? That's visible in 5 minutes because the measurement is there. Pre-churn behavior? That becomes predictable the moment you stop measuring "customer satisfaction" and start measuring "is this customer using the core workflow."

    Most SaaS teams between 1M-5M ARR have these leaks, not because they're bad at operations, but because they have the wrong measurement system. They're measuring activity (tickets, deployments, sprints) instead of measuring leaks (where the money is actually going, where it stops).

    Your 5-company beta test is perfect because each one is going to discover their own invisible leak - something they've been losing money to without knowing it existed. That's when the product becomes essential - not when you can detect leaks in general, but when you surface the specific leak that's costing each company more than you charge.

  3. 1

    Love this idea — SMBs I talk to often don’t realize where money is leaking until it’s too late. With Finsight AI, I’m focused on forecasting cashflow, and a diagnostic tool feels like a strong complement. How are you testing this with beta users?

  4. 1

    The strongest signal here is that you’re testing the diagnostic with real companies before turning it into a broader product.

    Five companies could tell you much more about the product than five hundred landing-page opinions.

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