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I'm Matt, a financial analyst who got tired of waiting weeks for Quality of Earnings reports as a part of financial due diligence. The problem hits anyone evaluating acquisitions, investments, or partnerships: - QoE reports cost $20k-$40k and take 2+ weeks, even for smaller deals - Fees aren't recoverable when deals fall through - Delays kill momentum – many red flags could be spotted immediately - You're stuck doing manual Excel cleanup while waiting for basic insights So I built Provafi – an AI-powered tool that gives you the core financial insights in minutes, not weeks: - Instant data cleanup – Upload messy financial statements, get structured analysis - Automated red flag detection – Spot revenue anomalies, margin trends, cash flow issues - Secure & private – Your sensitive data stays encrypted, never used to train public AI models - Fast go/no-go decisions – Decide whether to commission a full QoE or walk away early Early traction: currently being used by SearchFunder members on active deals. Why not just use ChatGPT? Most M&A data is too sensitive for ChatGPT and other public LLMs, and these models need proper data structuring and context to provide valuable AI insights. Current limitations: still working on automating management adjustments (add-backs, etc.) and other "full-scope" capabilities. Try it free at https://provafi.com (use beta code HNFREE) What would make this more valuable for you? - Features for non-finance users to understand the analysis? - Specific red flags or metrics you wish were automated?

Visit product View on Hacker NewsAug 20, 2025

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