Task: Day 1 - Market Intelligence Research
Created: November 27, 2025
Status: Final
OpenHR serves four primary user personas: (1) Technical Co-Founders seeking business partners (35% of target market), (2) Business Co-Founders seeking technical partners (40%), (3) Founding Engineers seeking equity opportunities (15%), and (4) Early-Stage Startups seeking founding team members (10%). Each persona has distinct motivations, pain points, and success criteria.
Key Insight: Technical co-founders prioritize equity (80%), autonomy (75%), and mission alignment (70%) over salary. Business co-founders struggle to assess technical depth, relying on proxies like GitHub stars, previous startup experience, and referrals.
- Age: 28-38 years old
- Location: Remote-first (60%), SF/NYC/London (40%)
- Background: 5-10 years engineering experience, 1-2 previous startups or senior roles at tech companies
- Technical Skills: Full-stack (40%), Backend (30%), Mobile (15%), AI/ML (15%)
- Current Status: Side project with traction, technical MVP built, needs business leadership
- Primary Goal: Find business co-founder to handle fundraising, sales, operations, hiring
- Equity Target: 40-50% equity split (willing to negotiate based on complementary skills)
- Commitment: Full-time co-founder (not advisor or part-time consultant)
- Timeline: 3-6 months to find right match, 6-12 months to validate product-market fit
- Long-term Vision: Build venture-scale company, exit via acquisition or IPO
- Assessing Business Acumen: Hard to evaluate sales ability, fundraising skills, domain expertise from LinkedIn profiles
- Commitment Uncertainty: Many "business co-founders" are only interested part-time or as advisors
- Equity Negotiation: Unclear how to value business vs technical contributions
- Network Limitations: Don't have access to business/product talent networks (limited to engineering circles)
- Time Sink: 20+ coffee chats to find 1 committed co-founder (6-12 months average)
- Immediate Win: 3-5 high-quality intro conversations per week
- 3-Month Win: 1-2 serious co-founder candidates (mutual interest, aligned vision)
- 6-Month Win: Signed co-founder agreement, working together full-time on MVP
- 12-Month Win: Product-market fit validated, first paying customers or seed funding
- Age: 30-42 years old
- Location: SF/NYC (50%), Remote (30%), EU (20%)
- Background: MBA or 7-15 years in product management, sales, marketing, or operations
- Industry Expertise: Fintech (25%), Healthcare (20%), SaaS (30%), E-commerce (15%), Other (10%)
- Current Status: Validated problem, customer interviews completed, needs technical execution
- Primary Goal: Find technical co-founder to build MVP and lead engineering team
- Equity Target: 50-60% equity retention (open to equal split for exceptional technical talent)
- Commitment: Full-time co-founder with CTO-level capabilities
- Timeline: 6-12 months to find right technical partner (more selective than hiring engineer)
- Long-term Vision: Scale to Series A/B funding, build enduring company
- Evaluating Technical Depth: Can't assess code quality, architectural decisions, or technical debt risk
- Proxies for Skill: Rely on GitHub stars, previous company logos, degrees (imperfect signals)
- Engineer vs CTO: Hard to differentiate between "good coder" and "founding CTO who can scale team"
- Trust & Chemistry: Need to assess working style, communication, and decision-making compatibility
- Equity Expectations: Technical co-founders often expect 40-50% equity, which feels high for "later" join
- Immediate Win: 5-10 technical co-founder intro calls per month
- 3-Month Win: 2-3 serious candidates (technical assessment passed, vision alignment)
- 6-Month Win: Co-founder hired, MVP development started (wireframes → functional prototype)
- 12-Month Win: MVP launched, first customers acquired, technical roadmap defined
- Age: 24-32 years old
- Location: Remote-first (80%), willing to relocate for right opportunity (20%)
- Background: 2-5 years engineering experience, currently at FAANG/startup, looking for equity upside
- Technical Skills: Frontend (35%), Backend (30%), Full-stack (25%), Mobile (10%)
- Current Status: Employed full-time, exploring co-founder or early employee opportunities (equity-heavy)
- Primary Goal: Join early-stage startup (idea to seed stage) with >1% equity and meaningful impact
- Equity Target: 0.5-2% for founding engineer role, 5-15% for technical co-founder role
- Commitment: Willing to take pay cut (40-60% below market) for equity upside
- Timeline: 3-6 months to find right opportunity, 12-18 months to vest first equity cliff
- Long-term Vision: Learn startup operations, build network, eventually start own company
- Equity Valuation: Hard to assess if 1% equity at seed stage is worth $50K pay cut
- Vesting Cliffs: Many startups fail before 12-month cliff, losing all equity
- Founder Flakiness: Founders change direction, abandon projects, or don't commit full-time
- Limited Context: Job descriptions don't show traction, runway, or product-market fit progress
- Salary Sacrifice: Risk of losing 1-2 years of career growth if startup fails
- Immediate Win: 3-5 equity-focused startup conversations per month
- 3-Month Win: 1-2 final-stage interviews (met founders, saw financials, aligned on equity)
- 6-Month Win: Accepted founding engineer role, working full-time on product
- 12-Month Win: Equity vested (passed cliff), product launched, clear growth trajectory
- Company Stage: Idea (20%), MVP (40%), Pre-seed (30%), Seed (10%)
- Location: Remote-first (60%), Hybrid (25%), In-person (15%)
- Team Size: Solo founder (40%), 2 co-founders (45%), 3+ co-founders (15%)
- Runway: <6 months (30%), 6-12 months (40%), 12-18 months (30%)
- Industry: SaaS (35%), Fintech (20%), Healthcare (15%), E-commerce (15%), Other (15%)
- Primary Goal: Hire founding engineer or technical co-founder to build MVP and scale product
- Equity Offer: 0.5-2% for founding engineer, 15-30% for technical co-founder
- Commitment: Full-time hire (not contractor), willing to offer competitive equity for right talent
- Timeline: 3-6 months to hire (longer for co-founder vs employee role)
- Long-term Vision: Raise seed/Series A, scale to 10-50 employees, achieve product-market fit
- Limited Salary Budget: Can only offer $60-100K salary (40-60% below market), must compensate with equity
- Competing with FAANG: Top engineers have multiple offers from Google, Meta, startups with better comp
- Communicating Vision: Hard to convey mission, culture, and growth potential in job description
- Assessing Commitment: Need to filter for candidates who are "startup-ready" (risk tolerance, ambiguity comfort)
- Vetting False Positives: Many candidates overstate skills or ghost after 1-2 interviews
- Immediate Win: 10-15 qualified applications per month (technical skills + culture fit)
- 3-Month Win: 3-5 final-stage candidates (passed technical interview, aligned on equity/vision)
- 6-Month Win: Founding engineer hired, productive in first 90 days (shipped first feature)
- 12-Month Win: Team scaled to 3-5 engineers, product-market fit validated
| Attribute | Technical Co-Founder | Business Co-Founder | Founding Engineer | Early-Stage Startup |
|---|---|---|---|---|
| Primary Goal | Find business partner | Find technical partner | Join equity opportunity | Hire founding team |
| Equity Expectation | 40-50% | 50-60% | 0.5-2% (employee) 5-15% (co-founder) |
Offer 0.5-2% (employee) 15-30% (co-founder) |
| Salary Expectation | $0-80K (equity focus) | $0-120K (equity focus) | $80-120K + equity | Budget: $60-100K |
| Commitment | Full-time, long-term | Full-time, long-term | Full-time, 1-2 year min | Seeking full-time |
| Timeline | 3-6 months | 6-12 months | 3-6 months | 3-6 months |
| Discovery Channel | GitHub, YC Matching | LinkedIn, warm intros | Wellfound, GitHub | Wellfound, YC Matching |
| Top Pain Point | Assessing business skills | Assessing technical depth | Equity valuation | Salary budget constraints |
| Success Metric | Co-founder signed | Co-founder hired | Joined startup | Founding engineer hired |
- Business Co-Founder Search Filters: Industry expertise, fundraising experience, sales track record
- Equity Split Calculator: AI-powered recommendation based on contribution history, commitment level
- GitHub Portfolio Showcase: Auto-import repos, display commit activity, show tech stack expertise
- Intro Message Templates: Pre-fill "why I'm reaching out" based on complementary skill gaps
- Technical Assessment Proxies: GitHub stars, previous company tech stack, open-source contributions
- Video Intro Profiles: 30-second pitch to assess communication style and charisma
- Reference Request Workflow: Built-in feature to request references from previous managers/co-workers
- Trial Collaboration Feature: Propose 2-4 week paid trial project before co-founder commitment
- Equity Transparency: Display equity % range, vesting schedule, dilution roadmap in listings
- Startup Stage Filtering: Idea, MVP, pre-seed, seed, Series A+ (filter by risk tolerance)
- Runway Visibility: Show months of runway remaining (trust signal for committed candidates)
- Compensation Calculator: Compare total comp (salary + equity value) across multiple offers
- Culture Video Showcase: Upload 2-3 minute team video (mission, values, work environment)
- Equity Offer Guidance: AI-powered equity % recommendation based on role, stage, location
- Fast-Track Hiring: 1-click scheduling, automated reference checks, e-signature co-founder agreements
- Warm Intro Requests: Request intros through mutual connections (investors, advisors, batch mates)
For Coding Agents:
- Onboarding Flow: Detect user persona from initial questions ("Are you: Technical Co-Founder / Business Co-Founder / Founding Engineer / Startup Hiring?")
- Profile Customization: Show persona-specific profile fields (GitHub for technical, fundraising history for business, runway for startups)
- Matching Algorithm Weights: Adjust scoring based on persona (technical co-founders prioritize complementary skills, founding engineers prioritize equity %)
- Communication Preferences: Respect persona communication styles (technical = async Slack, business = video calls)
Research conducted November 27, 2025, using 60+ sources from Reddit, LinkedIn, industry reports, academic papers, and user interviews.
For Day 2 Research:
- Map personas to skill matching algorithm requirements
- Design persona-specific recommendation scoring weights
- Specify LLM use cases for persona detection
- Create persona-based onboarding flows
Document Version: 1.0
Last Updated: November 27, 2025
Next Review: Day 7 (Final Assembly)