Launching today

FlowAudit

Launching today

AI-Powered Laundromat Due Diligence & Forensic Auditing

2 followers

AI-Powered Laundromat Due Diligence & Forensic Auditing

2 followers

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Stop overpaying for laundromats. FlowAudit uses AI to verify revenue by cross-referencing water bills with machine specs to detect "ghost income" and inflated P&Ls. Turn messy utility PDFs into bank-ready forensic audit reports in minutes. We use physics to prove if the claimed revenue is actually possible based on real water consumption. Get the data-backed confidence you need to negotiate better deals or walk away from bad ones.

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Launch tags:Investing•Artificial Intelligence•Accounting

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Maker

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Hi Product Hunt! I built FlowAudit because I saw too many investors getting burned by 'creative' bookkeeping in the laundromat industry. When a seller claims $10k in monthly revenue but the water bills only support $6k in washes, you aren't just looking at a discrepancy—you're looking at a bad investment. The goal was to move beyond simple spreadsheets and use AI to handle the tedious work of HCF-to-gallon conversions and machine cycle analysis. We’ve integrated Gemini to help extract data from messy utility bills and Google Antigravity to power the backend, ensuring that you can go from a stack of PDFs to a bank-ready forensic report in minutes. Whether you're a first-time buyer or a seasoned operator looking to scale your portfolio, FlowAudit is designed to give you the data-backed confidence to walk away from a bad deal or negotiate a better price on a good one. I’d love to answer any questions about the forensic logic or the tech stack we’re using!

Report

12h ago

Forum Threads

p/flowaudit

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8h ago

👋 Laundromat buyers: How do you verify "ghost income"?

Buying a laundromat is often sold as "easy passive income," but the reality of verifying water bills and P&Ls is a nightmare. We built FlowAudit to catch the red flags that manual reviews miss.

We re launching tomorrow and want to hear from the community:

What s the biggest "hidden cost" you've found during due diligence?
If you re an investor, what data point do you trust more than the seller's word?

We'd love your feedback on our analysis engine!

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