noborder Pitch Deck: Slide-by-Slide Breakdown

The Minimalist Seed Deck: noborder's $300,000 Raise

The 2018 seed deck for noborder (promoting their product, TeamFinder) is a study in Japanese minimalist business communication. With only 12 slides and very little text, the deck relies on the 'show, don't tell' principle, backed by significant founder pedigree. In a market like Japan, where the HR tech space is dominated by massive incumbents like Recruit Holdings, a startup's best weapon is often a founder who understands those incumbents from the inside. Noborder leans into this immediately.

Slide 1: Title and Branding

The deck opens with a simple blue background. The product name, TeamFinder , is prominent, followed by a subtitle in Japanese: "chatbot x recruitment matching service." The company name, NOBORDER Inc. , and the CEO's name appear in the bottom right. It is a standard, no-frills entry point that establishes the product category immediately.

Slide 2: The Pedigree Play

Slide 2 is arguably the most important slide in the deck for a seed-stage investor. It features a large photo of the CEO and a single, underlined sentence: "18 years of HR business experience." Below this is the logo for Recruit . In the Japanese venture ecosystem, 18 years at Recruit is a gold-standard credential. It implies the founder has a deep network, understands the mechanics of the labor market, and has seen the internal failings of the industry's largest player. This slide attempts to de-risk the investment through sheer domain expertise.

Slide 3: The Market Tension

Slide 3 uses a simple visual metaphor to explain the problem. On the left, a circle represents "Job Media," labeled with "Quantity (Inefficiency)." On the right, a circle represents "Referrals/Recruitment Agencies," labeled with "Quality (Lack of Numbers)." The "VS" in the middle sets up the classic market gap: companies either get too many bad candidates or too few good ones. This framing is effective because it is a universal pain point in recruitment.

Slides 4-5: The Solution Synthesis

Slide 4 reintroduces TeamFinder as the service that combines "Quantity and Quality." Slide 5 breaks this down into two components: "Accurate and deep candidate data" multiplied by an "Efficient matching process." The deck is positioning the product not just as a tool, but as a bridge between the two failed extremes identified on the previous slide.

Slide 6: Product Interface and Capability

Slide 6 provides the first look at the product. A mobile mockup shows a chatbot interface (TeamFinder Beta). The text claims the system can "Data-fy skills and values from multiple perspectives" and can "Accurately understand even if the opponent is 10,000 people a day." This is the core of their technological claim: that a chatbot can scale the 'deep' interviewing process that usually requires a human recruiter, allowing for high-quality data collection at a high-volume scale.

Slide 7: The Matching Logic

Slide 7 is a simple flow diagram. The chatbot sits in the center, recommending candidates to companies and companies to individuals. When both sides express interest (indicated by 'thumbs up' icons), a match is made. This confirms the business is a two-sided marketplace, using the chatbot as the automated intermediary.

Slide 8: Early Traction

Slide 8 presents the results following a beta release at the end of August. The metrics are presented in three blue circles: 150 companies , 520 individuals , and 30 matches . For a seed round, these numbers are modest but critical. They prove that the matching algorithm actually works and that there is initial B2B interest. The 30 matches represent the 'North Star' metric for the company.

Slide 9: Revenue Model

The business model on Slide 9 is straightforward: "Free to 200,000 yen / month." It is described as a "completely flat-rate subscription." This is a significant departure from the traditional Japanese recruitment model, which usually charges 30-35% of a hire's annual salary. By moving to a SaaS subscription model, noborder is pitching a more predictable, scalable revenue stream that appeals to tech investors.

Slide 10: The Extended Team

Slide 10 showcases the team. Rather than listing long bios, they use logos to communicate prestige. The team includes individuals with experience at Salesforce , Microsoft , and Tableau . Academic credentials from the University of Tokyo , University of Washington , and Duke University are also highlighted. This reinforces the idea that the CEO has been able to attract high-tier talent from both the US and Japan.

Slide 11: Market Opportunity

Slide 11 defines the Total Addressable Market (TAM). It combines the 1 trillion yen new grad/mid-career market with a 7.8 trillion yen side-job/freelance market. By including the freelance market, noborder expands its potential reach nearly eightfold. This suggests that the chatbot matching technology is intended to be applied to the broader gig economy, not just traditional full-time roles.

Slide 12: Contact and Call to Action

The final slide provides a QR code, a URL (teamfinder.io), and the CEO's email address. It is a standard closing slide for a pitch deck.

What Works in the noborder Deck

Clarity of Problem: The "Quantity vs. Quality" slide (Slide 3) is a masterclass in simplicity. It identifies a structural flaw in the HR industry that every hiring manager understands, without needing complex charts or data points.

Founder-Market Fit: The deck correctly identifies that in the HR space, experience is the primary currency. By highlighting 18 years at the industry leader (Recruit), the founder establishes himself as an insider capable of disrupting the status quo.

Focus on Matches: Many early-stage marketplace decks focus on sign-ups or traffic. Noborder focuses on "30 matches" (Slide 8). This is the only metric that truly matters for a recruitment platform, and showing it early builds trust.

What is Missing from the noborder Deck

The 'Ask': The most glaring omission is a slide detailing how much money is being raised and what it will be used for. While the catalogue facts state $300,000 was raised, the deck itself does not mention a target amount, valuation, or milestone plan.

Competitive Landscape: The HR tech space is incredibly crowded. The deck does not mention competitors like BizReach, Wantedly, or LinkedIn. Investors would naturally want to know how TeamFinder protects its margins against these giants.

Unit Economics: While the subscription price is listed (Slide 9), there is no information on the cost to acquire a company (CAC) or the lifetime value (LTV) of a user. Without these, the scalability of the 200,000 yen/month model is purely theoretical.

Technology Deep-Dive: The deck claims the chatbot can "data-fy skills and values" (Slide 6), but it doesn't explain how. Is there proprietary NLP (Natural Language Processing)? Is it a simple decision tree? In 2018, "chatbot" was a buzzword, and more technical detail would have helped validate the "Quality" claim.

What a Founder Should Copy

Logo-Based Credibility: If your team has worked at prestigious firms or attended top universities, use the logos. As seen on Slide 10, it is much faster for an investor to process a Microsoft logo than a paragraph of text describing a software engineer's history.

The 'X' Formula: Slide 5 uses a simple "A x B = C" logic. "Deep Data x Efficient Process." This is a very effective way to communicate a complex value proposition in a way that feels inevitable and logical.

Minimalist Design: The deck uses a consistent color palette (blue, white, and black) and avoids cluttered slides. This forces the audience to listen to the presenter rather than getting lost in small text on the screen. For a seed round, where the goal is to get a second meeting, this level of brevity is often an advantage.

Final Thoughts

The noborder deck is a "pedigree deck." It works because the founder has nearly two decades of relevant experience and the team looks like a high-performance unit. While it lacks the financial rigor of a Series A deck, it provides just enough traction and market framing to justify a $300,000 seed check. Founders without 18 years of industry experience, however, would likely need to provide much more data to achieve the same result.