# Viewfocus

*/Startups/Viewfocus*

## Startup Overview

This attention-tracking engine maps visual engagement directly to dynamic Document Object Model elements. Instead of capturing biometric data through webcams or dedicated hardware, it calculates visual focus using structural page data and continuous interaction signals. Product teams receive immediate visibility into where users look, read, and hesitate on complex, shifting web applications.

User experience researchers, conversion optimizers, and frontend developers struggle to measure true cognitive focus on modern web interfaces. Standard analytics rely on crude scroll depth or generic mouse movement, failing to capture actual visual attention, while clinical eye-tracking requires invasive hardware and constrained lab setups. Teams are left guessing which specific interface components actually capture user focus during an active session.

By operating entirely camera-free and DOM-aware, the system eliminates the invasive biometric data collection required by Tobii Pro Web and surpasses the static overlay limitations of Hotjar and Crazy Egg. It pins attention metrics directly to specific code nodes rather than static screen coordinates, ensuring accurate tracking even as layouts shift, modals open, or content dynamically loads.

## Startup Founding Hypothesis

**Approach**: that maps visual attention directly to dynamic DOM elements
**Competitors**:
- [Hotjar](/Competitors/Hotjar)
- [Crazy Egg](/Competitors/Crazy_Egg)
- [Tobii Pro Web](/Competitors/Tobii_Pro_Web)
**Differentiator2x2**: camera-free and DOM-aware, eliminating the need for biometric data collection

## Startup Solution Coordinate

**Solution**: [Visual Attention Tracker](/Software/Visual_Attention_Tracker)

## Startup Position2x2

```mermaid
quadrantChart
    title Visual Attention Tracking Approaches
    x-axis "Biometric / Hardware Required" --> "Camera-Free / Software Only"
    y-axis "Static Coordinate Mapping" --> "Dynamic DOM-Aware"
    quadrant-1 "Scalable Context"
    quadrant-2 "High Friction Insight"
    quadrant-3 "Legacy Lab Tracking"
    quadrant-4 "Basic Proxy Heatmaps"
    Tobii Pro Web: [0.15, 0.35]
    Hotjar: [0.75, 0.40]
    Crazy Egg: [0.85, 0.25]
    Viewfocus: [0.90, 0.90]
```

## Startup Offer

**Proof**:
- Targeting e-commerce brands to validate dynamic checkout layouts without the high cost of biometric lab testing.
- Aiming to help B2B SaaS teams reduce feature drop-off by identifying exactly which DOM elements users ignore.
- Designing for performance-marketing agencies to prove landing page engagement beyond standard bounce rates.
**Tiers**:
- Name: Growth Tracker · Price: ~$40–$90/mo · Inclusions: Up to 50,000 tracked sessions per month, static and dynamic DOM-element attention mapping, and 30-day data retention for a single domain.
- Name: Pro Conversion · Price: ~$200–$400/mo · Inclusions: Up to 250,000 tracked sessions per month, single-page application (SPA) state tracking, custom interaction hooks, and 6-month data retention.
- Name: Volume Scale · Price: ~$800–$1,500/mo · Inclusions: Up to 2,000,000 tracked sessions per month, raw attention data export API, multi-domain portfolio support, and 12-month data retention.
**Guarantee**: If the Viewfocus tracking script adds more than 50ms of main-thread blocking time or fails to map interactions accurately on your dynamic frontend framework, you receive a full refund for your first 30 days.
**Business Function**: ProvideService
**Objection Handlers**:
- Objection: We already use a traditional heatmap tool. Rebuttal: Standard heatmaps track static X/Y screen coordinates that break on dynamic layouts; Viewfocus maps directly to the DOM element, preserving accuracy as your UI shifts.
- Objection: How do you measure visual attention without a camera? Rebuttal: We map cursor heuristics, scroll velocity, and interaction pauses to predictive models that strongly correlate with actual eye fixation, requiring zero biometric data.
- Objection: Will tracking DOM changes slow down our React or Vue app? Rebuttal: The script is designed to passively observe MutationObservers asynchronously, ensuring zero measurable impact on your Time to Interactive metrics.
- Objection: Does capturing this behavioral data violate GDPR? Rebuttal: Because the platform relies purely on anonymous interaction patterns and intentionally collects zero biometric or personally identifiable information, it is designed for out-of-the-box compliance.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Analytical and precise, prioritizing technical accuracy over marketing flair
**Tagline**: Camera-free visual attention mapping for dynamic web interfaces
**Icon Concept**: cursor
**Palette Intent**: electric-signal
**Visual Identity**: High-contrast dark mode layouts accented by electric lime and cyan heat gradients pair with monospace typography to emphasize precise DOM coordinate tracking.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Viewfocus → UX & CRO Specialists → Digital Product Consumers
**Gtm Motion**: Acquisition relies on a self-serve script snippet that immediately maps attention to DOM elements on a single high-value page. Expansion triggers when product teams upgrade from isolated page analysis to sitewide tracking and add seats for front-end developers.
**Agent Channel**: Designed to publish a structured DOM-attention API in Model Context Protocol catalogs and the LangChain tool registry, allowing autonomous website-optimization agents to query element-level user focus metrics directly.
**Primary Channel**: Organic search capturing high-intent queries for camera-free Hotjar alternative and dynamic DOM heatmaps, alongside intended listings in the Webflow and Shopify app directories.

## Startup Customer Journey

```mermaid
flowchart LR A[Search Listing] --> B[Tracking Script] --> C[DOM Attention Map] --> D[Growth Tracker Tier] --> E[Developer Seats] --> F[Optimization Agents]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 30-day pilot on a single e-commerce domain tracking up to 50,000 sessions to prove the script maps cursor heuristics to dynamic checkout elements without exceeding 50ms main-thread blocking time
- 60-day pilot with a B2B SaaS product tracking 250,000 sessions on a single-page application to identify and document specific DOM elements that receive zero predictive eye fixation
**Target Metrics**:
- Target: <50ms main-thread blocking time during dynamic DOM mutation tracking
- Target: 100% mapping accuracy of cursor heuristics to shifting Single Page Application elements
- Aim: 30% reduction in feature drop-off by identifying exactly which dashboard components users ignore
- Aim: 0 biometric or personally identifiable information data points collected per 2,000,000 tracked sessions
**Target Case Studies**:
- Mid-market e-commerce brand: Validates dynamic checkout layouts using DOM-element attention mapping instead of biometric lab testing to pinpoint the exact UI components driving cart abandonment
- B2B SaaS product team: Utilizes SPA state tracking to identify ignored dashboard widgets, informing a targeted UI redesign that increases new feature adoption
- Performance marketing agency: Proves campaign landing page engagement by exporting raw attention data on dynamic layouts to show predictive eye-fixation beyond standard bounce rates
**Testimonial Targets**:
- Lead Frontend Engineer: Highlights that the tracking script passively observes MutationObservers asynchronously without impacting Time to Interactive on their React application
- Head of E-commerce: Validates that unlike static X/Y heatmaps that break on layout shifts, DOM-element mapping accurately captures attention on dynamic checkout flows
- Product Manager: Emphasizes the ability to reduce feature drop-off by seeing exactly which UI components are ignored in complex single-page applications

## Startup Top Risks

**Risks**:
- Severity: existential · Description: The heuristic model mapping cursor and scroll events to visual attention fails to match actual user gaze on dynamic layouts, rendering the analytics data useless. · Mitigation Status: unmitigated
- Severity: high · Description: Major browser engines restrict high-frequency pointer event polling or DOM mutation observations to prevent fingerprinting, breaking the core data collection mechanism. · Mitigation Status: unmitigated
- Severity: high · Description: Incumbents like Hotjar release predictive attention heatmaps trained on their massive existing behavioral datasets, neutralizing the camera-free differentiator. · Mitigation Status: in-progress
- Severity: moderate · Description: The DOM-aware tracking script causes layout thrashing or main-thread blocking on complex Single Page Applications, leading customers to uninstall to preserve site performance. · Mitigation Status: in-progress

## Startup Competitors

- [Hotjar](/Competitors/Hotjar) — Incumbent Heatmapping
- [Crazy Egg](/Competitors/Crazy_Egg) — Legacy Click Tracking
- [Tobii Pro Web](/Competitors/Tobii_Pro_Web) — Biometric Hardware
- [FullStory](/Competitors/FullStory) — Session Replay
- [RealEye](/Competitors/RealEye) — Webcam Eye Tracking
- [Mouseflow](/Competitors/Mouseflow) — Behavior Analytics

## Startup Story Brand

**Hero**:
- **Need**: to be the strategic optimizer who proves every layout change with hard data
- **Want**: to see exactly where customers look during a checkout flow
- **Identity**: the growth lead at a dynamic e-commerce brand
**Plan**:
- Step: Embed script · Detail: Add the lightweight script to your React or Vue app to begin passive DOM observation.
- Step: Inspect attention · Detail: Review element-level attention maps to see which specific checkout buttons or product features users ignore.
- Step: Optimize layout · Detail: Rearrange your UI based on actual fixation data to eliminate friction and increase revenue.
**Guide**:
- **Empathy**: When your UI shifts and your heatmap data stays static, your conversion insights become guesswork.
**Problem**:
- **Villain**: coordinate drift
- **External**: Traditional heatmaps in Hotjar or Crazy Egg break when dynamic React components or Shopify drawers shift elements on the page
- **Internal**: You feel like you are guessing on conversion fixes because your tracking data is misaligned and unreliable
- **Philosophical**: Visual attention expertise belongs in conversion data, not in expensive biometric labs.
**Success**: Every UI element has a verified attention score, allowing you to optimize dynamic layouts with total coordinate accuracy.
**One Liner**: Inaccurate coordinate tracking costs e-commerce brands conversion revenue. Viewfocus maps visual attention directly to DOM elements so you can optimize dynamic layouts with precision.
**Positioning**:
- **So That**: track visual attention on dynamic UIs without coordinate drift
- **Unlike**: Hotjar or Crazy Egg
- **For Whom**: growth teams at dynamic web brands
- **Category**: DOM-aware attention mapping software
**Call To Action**:
- **Direct**: Track dynamic sessions
- **Transitional**: View sample attention map
**Failure Stakes**:
- Wasted ad spend on ignored elements
- Inaccurate data from shifting coordinates
- Expensive biometric lab costs
**Transformation**:
- **To**: one of the few growth leads who master dynamic attention mapping
- **From**: a marketer guessing based on broken Hotjar heatmaps
**Controlling Idea**: Visual attention should be mapped to elements, not static screen coordinates.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Inaccurate coordinate tracking costs e-commerce brands conversion revenue. Viewfocus maps visual attention directly to DOM elements so you can optimize dynamic layouts with precision.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 591ebb663c7e1910

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: DOM-aware attention mapping software for growth teams at dynamic web brands. Unlike Hotjar or Crazy Egg — track visual attention on dynamic UIs without coordinate drift.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 00c7d2d8aacc529f

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Traditional heatmaps in Hotjar or Crazy Egg break when dynamic React components or Shopify drawers shift elements on the page
Solution: Inaccurate coordinate tracking costs e-commerce brands conversion revenue. Viewfocus maps visual attention directly to DOM elements so you can optimize dynamic layouts with precision.
Customer: growth teams at dynamic web brands
Unlike: Hotjar or Crazy Egg
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 23b59aa2445adb91

## Startup Token M E D D P I C C

**Pain**: Traditional heatmaps in Hotjar or Crazy Egg break when dynamic React components or Shopify drawers shift elements on the page
**Metrics**: Target: Every UI element has a verified attention score, allowing you to optimize dynamic layouts with total coordinate accuracy.
**Rendered**: Pain: Traditional heatmaps in Hotjar or Crazy Egg break when dynamic React components or Shopify drawers shift elements on the page
Economic buyer: UX & CRO Specialists
Metrics: Target: Every UI element has a verified attention score, allowing you to optimize dynamic layouts with total coordinate accuracy.
Competition: Hotjar or Crazy Egg
**Mechanism**: spine-derived-v1
**Competition**: Hotjar or Crazy Egg
**Economic Buyer**: UX & CRO Specialists
**Vocab Fingerprint**: 734789e989c76b55

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: DOM-aware attention mapping software for growth teams at dynamic web brands

growth teams at dynamic web brands — Traditional heatmaps in Hotjar or Crazy Egg break when dynamic React components or Shopify drawers shift elements on the page Inaccurate coordinate tracking costs e-commerce brands conversion revenue. Viewfocus maps visual attention directly to DOM elements so you can optimize dynamic layouts with precision.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 46740c7f157f6a87

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: DOM-aware attention mapping software. Inaccurate coordinate tracking costs e-commerce brands conversion revenue. Viewfocus maps visual attention directly to DOM elements so you can optimize dynamic layouts with precision. Serves growth teams at dynamic web brands.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: f5f38929e19c0bd2

## Neighborhood

### Candidate solutions

- [Calculate Grower Liquidations](/Problems/Calculate_Grower_Liquidations) — candidate solution for · Problems

### What it offers

- [Ledger Yield](/Services/Ledger_Yield) — offers · Services
- [Visual Attention Tracker](/Software/Visual_Attention_Tracker) — offers · Software
- [Viewfocus Liquidation Desk](/Services/Viewfocus_Liquidation_Desk) — offers · Services

### Competitors

- [Hotjar](/Competitors/Hotjar) — competes with · Competitors
- [FullStory](/Competitors/FullStory) — competes with · Competitors
- [RealEye](/Competitors/RealEye) — competes with · Competitors
- [Mouseflow](/Competitors/Mouseflow) — competes with · Competitors
- [Crazy Egg](/Competitors/Crazy_Egg) — competes with · Competitors
- [Tobii Pro Web](/Competitors/Tobii_Pro_Web) — competes with · Competitors
- [AgVantage Grower Accounting](/Competitors/AgVantage_Grower_Accounting) — competes with · Competitors
- [Famous Produce ERP](/Competitors/Famous_Produce_ERP) — competes with · Competitors
- [Produce Pro Software](/Competitors/Produce_Pro_Software) — competes with · Competitors
- [Manual Spreadsheet Exports](/Competitors/Manual_Spreadsheet_Exports) — competes with · Competitors
- [Produce Pro](/Competitors/Produce_Pro) — competes with · Competitors
- [Spreadsheet Pool Allocation](/Competitors/Spreadsheet_Pool_Allocation) — competes with · Competitors
- [Manual Spreadsheets](/Competitors/Manual_Spreadsheets) — competes with · Competitors
- [Spreadsheet Pool Allocations](/Competitors/Spreadsheet_Pool_Allocations) — competes with · Competitors
- [manual spreadsheet reconciliation](/Competitors/manual_spreadsheet_reconciliation) — competes with · Competitors
- [Microsoft Excel](/Competitors/Microsoft_Excel) — competes with · Competitors
- [Manual Excel Spreadsheets](/Competitors/Manual_Excel_Spreadsheets) — competes with · Competitors
- [Manual Spreadsheet Workarounds](/Competitors/Manual_Spreadsheet_Workarounds) — competes with · Competitors
- [manual spreadsheet pooling](/Competitors/manual_spreadsheet_pooling) — competes with · Competitors
- [manual spreadsheet tracking](/Competitors/manual_spreadsheet_tracking) — competes with · Competitors
- [AgVantage Software](/Competitors/AgVantage_Software) — competes with · Competitors
- [Complex Excel Spreadsheets](/Competitors/Complex_Excel_Spreadsheets) — competes with · Competitors
- [complex spreadsheet exports](/Competitors/complex_spreadsheet_exports) — competes with · Competitors
- [Manual Excel Exports](/Competitors/Manual_Excel_Exports) — competes with · Competitors
- [Excel Spreadsheets](/Competitors/Excel_Spreadsheets) — competes with · Competitors
- [manual spreadsheet allocations](/Competitors/manual_spreadsheet_allocations) — competes with · Competitors
- [Manual Spreadsheet Pools](/Competitors/Manual_Spreadsheet_Pools) — competes with · Competitors
- [Manual Spreadsheet Allocation](/Competitors/Manual_Spreadsheet_Allocation) — competes with · Competitors
- [Manual Excel Models](/Competitors/Manual_Excel_Models) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Composed of

- [Traceability Ingestion API](/Software/Traceability_Ingestion_API) — composes · Software
- [Pool Settlement Service](/Services/Pool_Settlement_Service) — composes · Services
- [Remittance Extraction Agent](/Agents/Remittance_Extraction_Agent) — composes · Agents
- [Fractional Ledger Engine](/Software/Fractional_Ledger_Engine) — composes · Software
- [Packout Allocation Agent](/Agents/Packout_Allocation_Agent) — composes · Agents
- [Pool Liquidation Service](/Services/Pool_Liquidation_Service) — composes · Services
- [Portal Extraction API](/Software/Portal_Extraction_API) — composes · Software
- [Short Pay Reconciliation Agent](/Agents/Short_Pay_Reconciliation_Agent) — composes · Agents
- [Fractional Pooling Engine](/Software/Fractional_Pooling_Engine) — composes · Software

### Who it serves

- [Grower-Shipper Marketing Agents](/CompanyTypes/Grower-Shipper_Marketing_Agents) — serves · CompanyTypes

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