Rundown

Solution

• They’re a recruiting partner for companies, providing services at the moment, but automating the product into a dashboard where companies can leverage AI to match skills and culture fits to their own preferences.

• Moonhub is a startup that aims to change the way companies find job candidates with a real-time people search powered by AI. The platform finds billions of data points of individuals from the public web, and then builds an AI layer on top to analyze all that information. With it, the company helps to unearth hidden candidates – qualified workers that wouldn’t be found using traditional recruiting methods like keyword searches – so companies around the world can hire the best talent.

• Better or different? Are they category kings according to Play Bigger? Moonhub is creating a category of faster skill-matching AI recruitment

  

• Personalization: Before, only 20% personalization led to job seeker dissatisfaction; Moonhub achieves 90% personalization with AI for high job seeker satisfaction.

• Bias: Previously, 70% of hiring decisions were influenced by bias, limiting diversity; Moonhub reduces hiring bias by 80%, promoting diversity and inclusion.

• Efficiency: Traditional recruitment had a 45-day average time-to-hire, causing a 30% loss in productivity; Moonhub cuts time-to-hire by 50%, saving companies 20% in hiring costs.

Core Business Model

• SaaS/subscription model in 3 tiers

  • 78% Retention rate, 11% Churn

• Traction: MoonHub has been consistently achieving a remarkable 19% month-over-month (MoM) growth rate. This signifies impressive and rapid expansion within a dynamic market, with a Total Addressable Market (TAM) of $22 billion, including a substantial $13.1 billion in the tech sector alone, where the price-to-earnings (P/E) ratio stands at 16.7. These numbers underscore the substantial growth potential within this sector.

• The 4 growth factors

  • Market Size: $22B TAM, $13.1B is tech alone, P/E of 16.7 for HR.

  • Distribution: for MoonHub to become a global company, they have to touch upon rapid investments in solidifying the product and scaling their sales teams to create a money-making machine through their distribution channels.

  • Gross Margins: 90%.

  • Network Effects: the company’s upcoming product does not fall down to network effects, rather classical SaaS word-of-mouth.

• The 2 growth limiters

  • Lack of PMF: Recruiters want 2 things: speed and best fits. PMF stands for now.

  • Operational scalability: since their unit economics remain intact as they scale, operational scalability is not troublesome.

AI Competitive Advantage

1. Model builders, model integrators, or vertical enterprise players?

   • Model integrators — using GPT on 1 Billion recruiting samples.

2. Data Strategy:

   • Moonhub trained their recruiting model on 1B samples and will continue to generate new data to train the model recurently as they work with more teams.

3. Direct access to customers? Yes!

4. How is the business model connected to their AI/data strategy?

   • The more data they process, the higher quality results they can give. The more people in their database, the more accurate and representative the recruiting.

Why you should Invest

• 📈 Market positioning: Moonhub is well-positioned in the recruitment B2B market, where AI adoption is becoming the business standard.

• ⬆️ Traction: Top-notch clients, like Sandbox and Inflection, 90% gross margins, and $9.4M Seed.

• 🙏 Not only do teams scale, so does their AI: They have direct access to customer and work with teams to assure top recruiting experience. The more data they collect, the more they’re successful in helping companies find the best candidates.