Jobright.ai

How Jobright.ai Attracted 50K Users in Just Two Months

February 7th, 2025

Founded By

Eric Cheng

Founders

Profitable

Yes

Year Started

2021

Customer

B2C

Founded By
Eric Cheng: Founders
2

Profitable
Yes: Year Started
2021

Customer
B2C

Who is Eric Cheng?

Eric Cheng, the founder and CEO of Jobright.ai, holds an M.S. in Computer Science from Carnegie Mellon University and was an early engineer at Box before founding Fangcloud. Co-founder Ethan Zheng, the CTO, earned a Ph.D. in AI and Database from The University of Hong Kong and previously led technology teams at Newsbreak and Twitter.

What problem does Jobright.ai solve?

Jobright.ai simplifies and tailors job hunting, making it less overwhelming by matching users with suitable roles and creating effective resumes quickly.

Jobright Homepage

How did Eric come up with the idea for Jobright.ai?

The idea for Jobright.ai was sparked during Eric Cheng's gap year, when he journeyed through various small and medium-sized cities. As he traveled, he met over 100 talented individuals struggling to access the same job opportunities available in larger cities. This personal experience revealed a gap in the job market, where skilled professionals faced barriers not due to lack of talent but because of limited access to opportunities.

Eric discussed this issue with his co-founder, Ethan Zheng, an AI expert. They saw the potential to use AI to level the playing field and provide equal opportunities for job seekers, particularly those in underrepresented regions. Recognizing the problem and leveraging recent AI advancements, they set out to create an AI tool that acts like a personal career assistant.

Before fully pursuing the idea, they validated their concept by assisting several individuals in securing jobs and incorporating their feedback. They also identified the unique challenges faced by foreign workers in the U.S., which led to the inclusion of features like the "H1-B filter" to help this specific group navigate the job market. Through these steps, they refined their vision to address specific user needs and challenges.

How did Eric Cheng build the initial version of Jobright.ai?

Eric Cheng and Ethan Zheng built Jobright.ai by leveraging the latest advancements in AI, specifically large language models (LLMs), to create a personal AI job search assistant. They spent months developing the platform's core features, such as the AI-Native Job Match Engine, which processes job seekers' experiences to recommend roles that align with their strengths. The initial development involved numerous iterations to ensure these tools functioned effectively, including testing against millions of job postings. The team faced challenges in ensuring data accuracy and relevance, given the vast volume of job data they utilized, but their backgrounds in AI and software development helped them address these issues.

Jobright.ai

What were the initial startup costs for Jobright.ai?

Funding: Jobright.ai previously raised a $4.5 million round led by Lanchi Venture, followed by UpHonest Ventures and Source Code Capital.

What was the growth strategy for Jobright.ai and how did they scale?

Product Hunt Launch

Jobright.ai leveraged its Product Hunt launch to effectively reach a large audience of tech enthusiasts and early adopters. By presenting their innovative AI-powered job search tool to this community, they tapped into a network of potential users and gained valuable feedback. The launch helped create initial buzz and drive interest in their offering.

JobrightAI PH Launch

Why it worked: Product Hunt is known for promoting new and innovative tech products. Jobright.ai's presence here aligned them with a community eager for unique tools, which helped in acquiring initial user interest and feedback. This platform provided them a stage to communicate directly with potential users who are always on the lookout for new solutions.

Community Focus and Networking

Jobright.ai focused heavily on community engagement, particularly supporting foreign workers navigating the U.S. job market. By understanding the unique needs of this group and offering tailored solutions like the H-1B filter based on prominent USCIS data, they strengthened their core user base organically.

Why it worked: Engaging with specific user communities built trust and offered significant value to individuals who felt overlooked by other services. By addressing a specific pain point for foreign workers, Jobright.ai positioned itself as a thoughtful and necessary resource, encouraging word-of-mouth and community-driven growth without heavy marketing investments.

Feature Uniqueness and AI Integration

Their standout features, such as creating personalized job matches and generating custom resumes swiftly, provided a significant advantage. This differentiation, coupled with AI integration throughout their service, made Jobright.ai a solution offering real-time, value-added job-seeking capabilities that aren't matched by traditional platforms.

Why it worked: Many job seekers look for platforms that offer more than just listings. Jobright.ai capitalized on this by using advanced AI to provide personalized, actionable insights, making the job search process efficient and effective. These features addressed real user needs, increasing satisfaction and retention.

What's the pricing strategy for Jobright.ai?

Jobright.ai currently offers its platform free of charge, focusing on rapidly growing its user base.

What were the biggest lessons learned from building Jobright.ai?

Listen to User Needs: Jobright.ai succeeded by focusing on user feedback, particularly from foreign workers needing H-1B visa support. Tailoring the platform to meet these specific needs helped it gain traction without expensive marketing.
Use AI Strategically: By leveraging AI to recommend personalized job matches, Jobright.ai was able to differentiate itself in a crowded market. This strategic use of technology provided a unique value proposition compared to traditional job boards.
Adaptability is Key: When faced with competition from established players like LinkedIn, Jobright.ai emphasized its AI-native approach, allowing it to swiftly adapt and maintain user focus, unlike traditional platforms tied to legacy systems.
Empathy Drives Innovation: Founder Eric Cheng's personal experiences as an immigrant informed the platform’s development, ensuring it empathetically addressed the job search challenges specific to foreign professionals, leading to a more user-centered product.
Build on Core Values: Jobright.ai’s commitment to transparency, integrity, and putting the jobseeker first helped build trust with users, an essential factor in its growing success and user base.

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