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SaaSJust an idea5.7

LeakHunter

A system that connects operational data and identifies revenue leakage, duplicate charges, missed refunds, pricing errors and unexplained financial discrepancies.

ML

Movie Lover

Product Designer

Posted 2h ago 3 views 0

The problem

Businesses can lose significant money through small mistakes spread across different systems. A delivered order may not be invoiced correctly, a refund may never be processed, a supplier may overcharge, or a payment may not match the underlying transaction.

Traditional reports show totals, but finding individual discrepancies often requires manual SQL queries, spreadsheets and investigations.

The solution

Connect a company's order management, payment, accounting and inventory systems. Automatically reconcile transactions, flag suspicious discrepancies, estimate financial impact and track each issue until it is resolved.

For example, an e-commerce company could discover that thousands of delivered orders have inconsistent payment or refund records.

Target customers

E-commerce and marketplace operators.

Grocery and food delivery companies.

Multi-branch retailers.

Logistics companies and payment operations teams.

Business model

Reconciling inconsistent data across systems.

Distinguishing genuine losses from legitimate timing differences.

Preventing duplicate alerts and false positives.

Handling different business rules for payments, refunds, taxes and inventory.

Looking for

  • Product ManagerOpen
  • Domain ExpertOpen

Team · 1

Deal board

Non-binding offers from investors. No money is paid through UnbuiltHub.

Valuation calculator

The founder hasn't named an ask. Offers are still welcome.

No offers yet.

AI insights

5.7

Needs work

Rated 2h ago

  • Problem clarity7.0

    Missed refunds, supplier overcharges and orders delivered but never invoiced are real, costly and easy to explain, but the pitch covers too many types of leakage at once.

  • Market size7.5

    Every e-commerce, grocery delivery, retail and logistics operator that handles a lot of transactions leaks some money, so the potential market is large worldwide.

  • Competition4.0

    Reconciliation is a crowded space: Unicommerce, Sanso, Bluecopa, Tipalti, ProcIndex and big close tools like BlackLine already sell automated matching and leak detection.

  • Feasibility4.5

    Building connectors for order, payment, accounting and inventory systems, plus custom rules for each business, is hard work and needs a lot of integration effort per customer for a small team.

  • Monetization6.5

    Money you can recover is easy to justify, so a recovery fee or ROI-based pricing could work, but the 'Business model' section lists technical challenges instead of how you'll charge.

  • Timing6.5

    LLMs make messy data mapping and explaining exceptions cheaper now, but incumbents are adding the same AI features quickly.

Strengths

  • • The value is easy to measure: 'we found $X you lost' makes a strong sales pitch and justifies the price.
  • • Tracking each issue until it's resolved and estimating its money impact goes further than basic matching tools that stop at 'unmatched'.
  • • Looking across operations (delivered vs invoiced vs refunded vs stock) is broader than the many tools that only match payouts to bank records.

Risks

  • • You're up against well-funded reconciliation and finance-automation tools that already claim to detect revenue leaks, so 'we reconcile' alone won't stand out.
  • • Each customer's systems and business rules are different, so the product could turn into custom consulting with long onboarding times.
  • • Too many false alarms from normal timing differences could quickly cost you the finance team's trust and lead to cancellations.

Next steps

  • • Pick one niche and one type of leak to start, such as missed refunds versus delivered orders for grocery or food delivery operators, and drop the other target segments for now.
  • • Interview 15 to 20 finance or payment ops leads and offer 3 of them a free 'leak audit' on exported CSVs to show you can find real money before you build connectors.
  • • Write a real business model (for example, a share of money recovered or a fixed fee per transaction volume) and test whether people will pay it during the audits.

Discussion · 0

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