# Outreach Pack: Web Content Extraction API

## Message 1: Technical Founders
Your web scraping pipeline is eating tokens. Our encoders strip HTML 20x cheaper than Dripper with identical output quality. One forward pass, no decode-per-token overhead. Worth 15 min?

## Message 2: Data Engineering Leads
Cleaning 100M+ pages/year? The math is brutal at $159K. We've built Pareto-optimal models that handle the same work for $7,900. HTML to clean Markdown, single forward pass. Interested?

## Message 3: Content Operations
Boilerplate removal at scale should be cheap. Our models match SOTA extraction while costing 1/20th what you're probably paying. Content intelligence gets easier when extraction stops being the bottleneck.

## Message 4: Automation & RPA Teams
Your heavy decoder models for web extraction are probably the slowest part of the pipeline. We've engineered encoder architectures that match accuracy but run 20x faster. Worth exploring a rebuild?

## Message 5: Search & Indexing Ops
Fresh clean content is your index edge. We've built models fast enough for real-time refresh: HTML to Markdown in one compute pass, not memory bound. Interested in rearchitecting extraction?

## Message 6: Indie Makers & Startups
Large-scale web scraping on a bootstrap budget? Pulpie gets enterprise extraction quality at indie pricing. Billion pages for $7,900 instead of $159K. DM if that math works for you.

## Message 7: LLM/RAG Engineers
Garbage web content tanks your RAG output. We've built encoding models that strip noise at scale without the token tax. Cleaner context prep, same cost. Your fine-tuning will thank you.

## Message 8: Platform & DevOps
Web extraction at scale usually means slow or expensive. Our compute-bound architecture scales without the per-token decode tax. Enterprise-grade speed and indie-friendly pricing. Let's talk architecture?

## Message 9: Legal Tech & Compliance
Legal doc extraction from web usually means heavy lifting. We've optimized the boilerplate-removal layer that's endemic to legal research. Compliance-ready Markdown from HTML in one pass.

## Message 10: Research & ML Teams
We've rethought web extraction by replacing the decode-per-token pattern with Pareto-optimal encoding. Production-ready, novel architecture. If you're doing large-scale extraction research, worth a conversation?

---

## Strategy Notes

**Cost Angle:** Lead with 20x pricing advantage (Dripper ~$159K to clean 1B pages, Pulpie ~$7,900)

**Speed Angle:** Single forward pass, compute-bound not memory-bound, suitable for real-time pipelines

**Quality Angle:** SOTA extraction accuracy while being dramatically cheaper

**Audience Segmentation:**
- Founders: Speed + cost
- Engineers (data/platform): Architecture + scale
- Ops (content/compliance): Reliability + compliance readiness
- Indie makers: Accessibility of enterprise-grade extraction

**Voice:** Builder-to-builder, direct, skip the hype, lead with concrete numbers

**CTA Pattern:** Soft ask for 15-min conversation or intro call; never pushy