Proof of Usefulness Report

Pocus

Analysis completed on 1/28/2026

+422
Proof of Usefulness Score
Certified Problem Solver

Pocus is a verified, high-potential Series A startup in the Product-Led Sales (PLS) space, backed by top-tier VCs (Coatue, a16z) with significant revenue traction (~$2M+ ARR). However, the submission itself is of extremely poor quality, containing false claims ('everyone', 'most people have used my product') and lazy data entry. The score reflects the high real-world merit of the actual company, heavily penalized by the lack of verifiable evidence in the submission and the niche nature of the B2B audience compared to mass-market benchmarks.

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Score Breakdown

Real World Utility+187.5
Audience Reach Impact+30.0
Technical Innovation+112.5
Evidence Of Traction+87.5
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+510
Usefulness Multiplierx0.83
Final Score+422

Project Details

Project URL
Description
We’re on a mission to equip product-led sales teams with the data, insights, and automations they need to close bigger deals faster.\n\nGrowth for today’s highest performing SaaS business is no longer sales-led, but driven by a self-serve, product-led motion. In this new world, companies have an abundance of data about their customers - including firmographic data (industry, geography, company size, title) and product usage data (who signed up, how many teammates they invited, what features are used, who the product champions are). But, this data lives in multiple different places - the data warehouse, CRM, marketing tools, and more - and the sales teams don't have the tools to access and analyze this data to inform their sales strategy. Simply put, the traditional enterprise sales tech stack is broken. Sales teams spend an overwhelming amount of time digging through data and switching between various tools to do their job.\n\nPocus was founded to make data actionable for sales teams so they can work smarter.\n\nWith Pocus, sales teams can focus on adding value to their customers, instead of digging through data. As the first ever platform to combine product engagement data with customer demographic data, we are giving sales reps access to insights that have never been available before. With this unique data, we enable sales teams to convert free / self-serve users to large paid customer contracts more efficiently and effectively. Through analytics and automations, Pocus identifies top opportunities / power users, alerts sales reps of product usage changes, and recommends the next best action so that sales teams can close bigger deals faster.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline