Problem

Melder addresses the workflow friction and labor cost that finance, operations, and other spreadsheet-heavy teams face when working with unstructured information. Analysts often spend substantial time pulling data from earnings calls, investor presentations, transaction documents, interviews, reports, and competitor websites, while existing AI tools can require learning a new application or changing established processes. The economic pain is therefore primarily wasted analyst time and slower research, diligence, reporting, and decision-making rather than a lack of spreadsheet functionality.

The killer use case is turning document- and web-based research into structured spreadsheet data at scale. For example, a team can extract information from a data room or contract set, synthesize interview transcripts, or research 100 competitor websites in roughly the same spreadsheet workflow as researching one, instead of performing each task manually.

Product / Service

Melder is an AI add-in for Microsoft Excel that combines spreadsheet formulas with document analysis, web scraping, and an in-workbook chat assistant. Users can upload PDFs and other files into cells, reference them in formulas such as =GEN and =EXTRACT, categorize or summarize content, pull website information into a workbook, and receive citations showing which source text informed an AI-generated answer. This brings unstructured data into the structured logic of a spreadsheet without requiring coding.

The delivery model is a Microsoft add-in that can be installed from AppSource and used within existing Office workflows. Melder positions the product as requiring no new workflow training or separate logins, and offers a free tier or trial followed by paid Pro and Ultra plans priced at $50 and $200 per month, respectively; enterprise usage is handled through a contact-led model. The benefit is faster analysis and easier deployment for teams already comfortable with Excel, with the added advantage of source traceability for document-based answers.

Market

Melder competes in the AI-for-spreadsheets and AI-in-Excel market, with a more specific focus on using Excel as an interface for unstructured document and web research. Its relevant alternatives include Microsoft's native COPILOT function, which calls an AI model from an Excel cell, and spreadsheet AI tools such as Numerous.ai, which automate categorization, extraction, writing, and data cleaning. Melder's differentiation is the combination of Excel-native formulas, file-to-cell document handling, web scraping, and citations aimed particularly at finance, diligence, consulting, research, and operations workflows.

The company appears to be an early-stage commercial product rather than a scaled software business. Y Combinator lists Melder as an active Fall 2024 company founded by Philip Brewer and Ashwin Dharne, with a two-person team in New York City; it publicly launched through YC in May 2025 and now advertises paid subscriptions alongside free access. The available evidence does not disclose customer counts, usage, or revenue, so Melder cannot be definitively labeled pre-revenue, but there is also no public traction evidence in the reviewed sources beyond its YC backing, product launch, availability on AppSource, and paid pricing.