Spotlight

What if job seekers, career programs, and employers all shared the same data on what actually leads to hiring?

Quick Pitch: GigHQ is an AI-powered B2B platform that gives workforce programs and agencies outcome-driven insights to better support job seekers. Its matching engine connects vetted talent with employers based on proven hiring results.

The Problem

• Lack of Transparency: Programs rely on anecdotes, not outcomes.

• Employer Inefficiency: One posting brings thousands of unqualified applicants.

• Job Seeker Frustration: The search is guesswork, leading to burnout and unemployment.

Snapshot

• Industry: Talent data infrastructure & matching

• Headquarters: Austin, Texas

• Year Founded: 2024

• Traction: Hundreds of users growing monthly, nearly 1,000 companies, and 1,000+ jobs listed

• Recognition: Accepted into Founder Institute, UT Austin TVL Accelerator, NVIDIA Inception, Google for Startups

Founder Profile

• Hasnain Baxamoosa, CEO & Founder: 15+ years in product, engineering, sales, and marketing at SolarWinds and AlienVault (acquired by AT&T), UT CS.

Funding

• Current Round: Raising $250K (Pre-Seed)

• Runway: 12 months to achieve product-market fit milestones

• Total Raised: Bootstrapped

Revenue Engine

• Phase 1: B2B SaaS for workforce organizations with co-branded platforms

• Phase 2: Direct-to-employer sourcing platform monetizing vetted candidate access

• Partner Channel: Udacity, Extern, Goodwill Career & Training Academy, KC TechBridge

What Users Love

• Real-time application tracking and outcomes

• Data on resume effectiveness and hiring success

• Direct pipeline between talent programs and employers

• ROI proof for workforce organizations

Playing Field

• Indeed/LinkedIn: High volume, low signal

• ATS providers: Internal process focus, no outcome data

• Workforce software: Limited tracking, no employer link

Why It Matters

Workforce development sees $13B+ invested annually with little visibility into results. As skills gaps widen, organizations need data-driven proof of impact to secure funding and improve outcomes.

What Sets Them Apart

• Closed-Loop Data: Captures company, job description, resume, and ultimate outcome for each application

• B2B-First Strategy: Partners double as distribution channels

• Outcome Intelligence: Matching based on proven success, not keywords

• Direct Access Model: Employers tap pre-vetted talent without public postings

Analysis

Bulls Case 📈 

• Strong partner pipeline in workforce development

• Data moat strengthens with every application tracked

• Capital-efficient B2B model with enterprise monetization path

• Employers pay for proven outcomes

Bears Case 📉 

• Long B2B sales cycles

• Adoption depends on partner execution

• Needs critical mass of applicants, raising customer acquisition cost (CAC) risk

• Early traction must prove scalable

Verdict

GigHQ tackles inefficiency in the talent market with a partner-driven, data-centric model. Early traction is promising, but scaling users will be the key challenge. For investors, it’s an early-stage infrastructure bet in a workforce development market primed for disruption.

The Startup Pulse

• Upscale AI — Raised $100M+ to build open-standard AI networks; backed by Mayfield and Maverick Silicon.

• Tabs — Raised $55M Series B led by Lightspeed; automates billing and revenue recognition for 200+ customers.

• Nvidia — Took a $5B stake in Intel and acquired Enfabrica with a $900M deal to expand AI chip and GPU infrastructure.

Written by Ashher

Update your email preferences or unsubscribe here

© 2025 AngelsRound

228 Park Ave S, #29976, New York, New York 10003, United States