Show HN: Free mortgage analysis tool to avoid getting screwed by closing costs

A new web tool promises to help U.S. homebuyers analyze mortgage loan estimates and closing disclosures to spot junk fees and negotiate better terms, but its approach of uploading full documents to an unfamiliar site triggers strong concerns. Commenters question the privacy, security, and business model of a service handling highly sensitive financial data without clear credentials or a proven track record, suggesting features like client-side redaction, data deletion options, and stronger legal assurances. Others see real value in demystifying complex closing costs and argue that such AI-powered analysis fills a gap left by lenders and brokers, while noting that trust and UX improvements are crucial if it’s to gain mainstream adoption.

Privacy & Security Concerns

  • Major theme: discomfort with uploading sensitive mortgage documents (names, addresses, transaction details) to an unfamiliar site with no strong trust signals.
  • Many argue these docs can be used for targeted wire fraud and social engineering during a high‑risk, high‑value moment (home purchase).
  • Boilerplate phrases like “industry-standard security” are seen as meaningless without specifics (standards, audits, data residency, breach handling).
  • Several suggest: allowing/encouraging client-side redaction, easy data deletion, explicit non-training/opt‑out options, and clearer explanations of data handling.

Trust & Legitimacy of the Service

  • Lack of business details (company name, address, phone, about page) is widely flagged as a red flag.
  • Some suspect it’s a thinly veiled mortgage lead-generation data play; others say that’s speculative but note the optics are bad.
  • Suggestions: register a proper entity, list contact details, clarify revenue model, possibly accept donations to make incentives visible.

Functionality & Value Proposition

  • Tool analyzes Loan Estimates/Closing Disclosures to flag excessive or negotiable fees and noncompetitive terms, using multiple LLM prompts and fee benchmarks.
  • Supporters see clear value: closing docs are complex, buyers are stressed, and lenders/agents aren’t strongly incentivized to minimize every fee.
  • Skeptics argue borrowers can and should ask loan officers directly or use existing rate comparison sites; they question why raw documents are needed at all.

UX and Technical Feedback

  • Some users report accurate, useful analyses. Others encounter processing errors, especially with redacted or modified PDFs.
  • Requests: automatic detection of document type, sample report button more prominent, PDF export of analysis, and better dark-mode contrast and visual simplicity.

Broader Mortgage & Risk Discussion

  • Debate over how much to prioritize closing-cost optimization versus focusing on property risk and overall loan shopping.
  • Multiple comments describe common wire-transfer fraud patterns at closing and emphasize how these documents enable such attacks.

Meta: Security for Early-Stage Tools

  • Discussion on what’s realistic for a small, bootstrapped project: full ISO 27001/SOC 2 vs. “good enough” trust-building practices.
  • Some argue rigorous privacy/security expectations are appropriate even for small “Show HN” launches, especially with highly sensitive financial data.