Launching today

Leakproof

Launching today

Find missing invoices before month-end close

5 followers

Find missing invoices before month-end close

5 followers

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Leakproof compares contracts.csv with invoices.csv locally in your browser, then flags potential missing invoices and underbilling for human review. No integrations, no AI guessing, and no financial-data upload. Every candidate links back to source rows. The public demo uses synthetic data; findings are opportunities to investigate, not claimed recovered revenue.

Free

Launch tags:Finance

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Maker

📌

Hey Product Hunt — I built Leakproof around a simple finance-team pain: evidence gets scattered between contract schedules and invoice exports, and gaps can survive until close. The first version intentionally starts with two CSVs and runs locally in the browser. It surfaces review candidates with source-row evidence, not “AI recovery” claims. The demo data is synthetic. I’m looking for 10 B2B SaaS finance teams to pressure-test the workflow. What format or evidence would you need before trusting a tool like this during close?

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1d ago

Love that every flag links back to the exact source rows. Makes it feel built for auditors who actually need to verify, not just take the tool's word for it.

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21h ago

Ran the public demo on the synthetic CSVs and the back-to-source-row linking actually makes the flagged gaps feel trustworthy rather than guesswork. Nice to see it stays local with no upload step.

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21h ago

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1d ago

What evidence would make you trust a pre-close billing-gap review?

Leakproof starts with two CSVs: contracts and invoices. It runs locally in the browser and surfaces potential missing-invoice or underbilling candidates with source-row evidence.

For finance teams: before you would use something like this during month-end close, what would you need to see? Examples: contract-line provenance, invoice-status handling, currency controls, reviewer sign-off, export format, or an audit log.

The demo is synthetic, and findings are review candidates not claimed recovered revenue. I m using the answers to shape the first design-partner workflow.

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