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Meet the 11 Startups in Techstars Seattle’s 2015 Class

Techstars Seattle’s 2015 class brought together 11 companies spanning cloud security, design, e-commerce, gaming, VR and small-business software. Here’s what each pitched and what later developments are documented.
From TheFinanceBase Team6 min to read

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“Meet the 11 new startups in Techstars Seattle” was a July 27, 2015 GeekWire story, not a current accelerator announcement. It introduced the sixth class of Techstars Seattle, which began an approximately 90-day program at the University of Washington’s Startup Hall before a Demo Day scheduled for October 27, 2015. The companies came from Seattle and other places, including California, Tel Aviv and Hong Kong; they were members of a Seattle cohort, not all Seattle-founded businesses.

What the 2015 Techstars Seattle class was

Techstars had launched its Seattle program in 2009. By 2015, Chris DeVore had taken over its leadership from Andy Sack, and the program’s stated aim included drawing founders willing to build in the Pacific Northwest. GeekWire reported that more than 50 startups had graduated in the preceding five years, including Remitly, Apptentive, Bizible and Shippable. The 2015 program offered $18,000 for 6% equity, plus mentorship and access to the Techstars network; those are historical terms, not current program pricing. GeekWire’s 2015 cohort announcement gives the program context, while its Demo Day coverage adds detail on the companies’ pitches.

The 11 startups and what they were building

The descriptions below capture each company’s 2015 pitch, not a claim that the product or company remains active today.

AtCipher: an extra layer of cloud security

AtCipher pitched cloud-security and zero-knowledge key-management technology: an encryption layer intended to protect data stored with cloud providers and limit unauthorized access by third parties. GeekWire saw potential in the idea but noted that its Demo Day presentation was technically difficult to follow. That is a reminder that a large security problem and a technically ambitious solution do not, by themselves, establish commercial traction.

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Brand.ai: shared design systems for product teams

Brand.ai aimed to help designers and developers maintain consistent UI components and design language in a shared system. It was a workplace design and collaboration tool, not a consumer app. Later references connect Brand.ai with design collaboration and InVision, but the available evidence does not establish a definitive acquisition or its current operating status.

Candy Jar: personalized online candy

Candy Jar let customers choose candy varieties and quantities for a customized jar, positioning personalization and gifting within direct-to-consumer e-commerce. In its Demo Day coverage, GeekWire reported approximately $250,000 in sales, 6,500 customers and a 46% repeat-purchase rate within 60 days. Those were figures reported in 2015 coverage, not independently audited results. The early consumer interest was tangible, while the larger question was whether a candy-focused business could scale into a venture-sized company.

DataBlade: a browser-based environment for data analysis

DataBlade proposed a web-based environment for analyzing data from different sources and helping organizations draw insights from it. Its pitch addressed a familiar business need—making scattered data useful—but the available coverage does not provide comparable traction figures or a verified later outcome.

Fish Bowl VR: usability testing for virtual reality

Fish Bowl VR offered VR developers access to usability testing by a recruited pool of headset owners and other early adopters. Its pitch cited more than 250 testers. That model depended both on developers paying for specialized research and on VR use growing enough to sustain demand. Dealroom reports that Fish Bowl VR ceased operations at the end of 2018, citing slower-than-anticipated VR-market development and difficulty building a sustainable business model; that is a secondary-source account, not a company-confirmed postmortem. Dealroom’s company profile records that reported outcome.

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Giftbit: trackable business gift cards

Giftbit pitched digital gift cards for businesses, with tracking and the ability to recover or refund unused value. Potential customers included companies running employee rewards, customer promotions or referral programs. That gives the idea a defined business buyer and a practical use case: distributing incentives while seeing what happens after they are sent.

Innervate: tools for game studios to engage players

Innervate wanted to help game developers build online communities and monetize relationships with highly engaged players, extending the connection beyond an individual game purchase. GeekWire later identified Seattle studio Harebrained Schemes as an early customer. The outlet also reported that Innervate raised $1.3 million after graduating from Techstars Seattle in 2015. GeekWire’s funding report provides that follow-up.

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Lightboard: design work on demand

Lightboard offered businesses an on-demand design service, acting as an external design team for projects too small or fast-moving to justify a full-time hire or a large agency. GeekWire’s 2015 Demo Day report cited more than 700 designer applications, over 100 completed projects and $70,000 in revenue after three months. Those are figures from the company’s pitch as reported at the time. Built In Seattle profiled Lightboard in 2019 as a design-services business and a member of the 2015 class; that profile does not establish its status in 2026. Built In Seattle’s alumni retrospective supplies the later dated reference.

Matcherino: fan-funded esports matches

Matcherino proposed letting esports fans crowdfund matches between professional players or teams. The concept treated fans not only as spectators but as participants in financing competitive events. Its prospects depended on the esports audience, players and organizers finding enough value in the model to keep using it.

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Mentio: cash-flow guidance for small businesses

Mentio pitched a mobile and cloud-based tool that would use financial data and machine learning to spot trends and forecast problems for small-business owners. The company described it as an early-warning system and said it addressed a market of roughly 30 million U.S. small-business owners. Those market-size and capability statements were pitch claims, not independently verified performance results.

ZIIBRA: online selling tools for independent merchants

ZIIBRA combined e-commerce tools and a marketplace concept for entrepreneurs and independent sellers. Its Demo Day framing emphasized improving conversion and customer lifetime value, rather than treating more traffic as the only path to growth. CB Insights reports that Tagboard acquired ZIIBRA in May 2016; this is a company-data database report rather than a directly located acquisition announcement. CB Insights’ ZIIBRA profile records the reported transaction.

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What the pitches show about the class

Clear customer problems did not guarantee easy scale

The cohort ranged from immediately legible consumer products to technical infrastructure. Candy Jar’s customized candy offer was easy to picture, and its 2015 pitch included reported sales and repeat purchases. AtCipher addressed a potentially broad security need, but its technical explanation was harder to communicate. GeekWire’s Demo Day coverage highlighted this contrast: a simple story can help an audience understand a product, while a complex problem may support a larger market but demand a clearer explanation.

Several ideas needed both sides of a marketplace

Lightboard needed businesses seeking design and a dependable pool of designers. Matcherino needed fans, players and event organizers. Fish Bowl VR needed developers willing to pay and enough suitable testers. ZIIBRA’s marketplace ambitions connected sellers and shoppers. These models face a familiar coordination challenge: each side is more valuable when the other is already present, so attracting supply and demand together is part of the business, not a detail to solve later.

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Some bets depended on markets still taking shape

Fish Bowl VR relied on VR adoption; Matcherino on growing esports monetization; Innervate on game studios investing in sustained player communities. If those markets expanded, each company could benefit. If adoption or spending developed slowly, the same market dependence could make customer acquisition and recurring revenue harder.

Business software faced its own execution hurdles

AtCipher, Brand.ai, DataBlade, Giftbit and Mentio were closer to business software than to consumer retail. Their path required persuading organizations to adopt tools, integrate them into existing workflows and see a clear return. In security and data products, technical trust and integration matter; in small-business tools, the product must deliver value without assuming customers have dedicated finance or IT teams.

What can be verified about later outcomes

The evidence supports a handful of dated follow-ups, not a complete 2026 status report on all 11 companies. Innervate’s reported $1.3 million round, Lightboard’s 2019 profile, Fish Bowl VR’s reported 2018 closure and ZIIBRA’s reported 2016 acquisition are specific developments. For the rest, the cited cohort and Demo Day coverage establishes what they pitched, but not a reliable present-day operating status. An unknown or unverified status should not be mistaken for proof that a company failed.

A Gaebler/VentureDeal record lists a $118,000 Techstars-related seed transaction dated July 27, 2015 for DataBlade. That secondary database entry is not a complete funding history and should not be generalized into a definitive account of what each company raised. The DataBlade funding record is the source for that entry.

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Why this class matters in Seattle startup history

The 2015 group is a snapshot of the period’s ambitions: cloud security and analytics alongside design tools, digital incentives, small-business software, e-commerce, gaming, esports and virtual reality. Its range also reflected Techstars Seattle’s recruitment goal. The companies gathered in Seattle for the accelerator, but the founders were not all local; the program was trying to make the Pacific Northwest a place where companies from elsewhere would build. For readers tracing Seattle’s startup ecosystem, the class is best understood as a cross-section of the ideas, market bets and business models that founders brought to the region in 2015.

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