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Spec Sheet

For: B2B buyers and procurement teams comparing software solutions

Buildability

The Problem

B2B buyers waste hours manually copying features from 30-page PDF spec sheets into Excel to compare software options

The Solution

Drag-and-drop tool that extracts features from competitor PDFs and creates sortable comparison tables

Why Now?

LangChain and document processing AI can now accurately extract structured data from unstructured PDFs

Build MVP in 7 Days

Day 1

Build drag-and-drop PDF uploader

Day 2

Integrate LangChain for feature extraction

Day 3

Create sortable table interface

Day 4

Seed with 3 public comparison examples

Day 5

Focus on one category initially (e.g., feature flags)

How to Validate

Ask B2B buyers on LinkedIn about their comparison process pain points

Create manual comparison for popular software category

Measure engagement with comparison content

Survey procurement teams about willingness to pay for automation

Revenue Model

$49/month SaaS subscription, potential future API revenue from anonymized aggregate comparison data

Competitive Moat

Data network effects - each PDF upload improves synonym mapping and comparison accuracy

Risks to Consider

PDF formats may be too varied for reliable extractionCompanies may not want their specs easily comparedMarket may be smaller than anticipatedLarge incumbents may add similar features

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