OpenQase
An open-source, community-curated library of quantum-computing business cases and associated algorithms.
Website: https://www.openqase.com/
Cover Block
From the public record
| Name | OpenQase |
| Tagline | An open-source, community-curated library of quantum-computing business cases and associated algorithms. |
| Headquarters | New York, NY |
| Founded | 2025 |
| Stage | Pre-Seed |
| Business Model | Open Source / Community |
| Industry | Deeptech |
| Technology | Quantum Computing |
| Geography | Global / Remote-First |
| Growth Profile | Lifestyle Business |
| Founding Team | Co-Founders (2) |
| Funding Label | Bootstrapped / Grant-Funded |
Links
From the public record
- Website: https://www.openqase.com/
- GitHub: https://github.com/ddri/openqase
The Short Version
From the public record OpenQase is an open-source, community-curated library of quantum-computing business cases, designed to address the fragmentation of public information on commercial quantum applications [openqase.com]. The project, launched in 2025, organizes case studies, algorithms, and research by industry, professional persona, and algorithm to create structured learning paths for business and technical users [Perplexity Sonar Pro Brief]. It began as a bootstrapped initiative after a conversation between co-founders David Ryan and Anastasia Marchenkova at the Q2B Silicon Valley conference [Perplexity Sonar Pro Brief].
Ryan, a former Head of Product at Quantum Brilliance and open-source advocate, and Marchenkova, a quantum physicist with experience at Rigetti and Bleximo, bring a blend of product leadership and deep technical expertise to the project [Perplexity Sonar Pro Brief]. The venture operates without a disclosed commercial sales model, relying on founder bootstrapping and non-commercial support, such as a grant from Google for Startups in 2026, rather than priced equity rounds [Perplexity Sonar Pro Brief]. Over the next 12-18 months, the key developments to monitor are the execution of its technical roadmap, including a planned "Hybrid Architecture" release and a full production launch, and the evolution of its community traction, which reportedly includes approximately 1,000 daily unique users [Q2B Tokyo, Aug 2025].
Single-source, plausible -- Core product and team claims are confirmed by primary sources; traction metrics are founder-reported.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | Open Source / Commercial |
| Industry / Vertical | Deeptech |
| Technology Type | Quantum Computing |
| Geography | Global / Remote-First |
| Growth Profile | Lifestyle Business |
| Founding Team | Co-Founders (2) |
The Company in Brief
From the public record
OpenQase emerged from a conversation between its co-founders at the Q2B Silicon Valley conference, a gathering for the quantum computing industry [Perplexity Sonar Pro Brief]. The project was formally launched in 2025 as an open-source, community-curated library, with its public alpha release announced in February of that year [LinkedIn, Feb 2025]. The company operates as a remote-first entity, with its founders based in New York, NY.
Key development milestones have followed a typical open-source cadence, centered on public releases and community engagement. The v0.1.0 release in March 2025 marked the project's official debut as an open learning resource, with co-founder David Ryan stating that support from OSRG would allow dedicated time for development [LinkedIn, Mar 2025]. By August 2025, the project was being presented at the Q2B Tokyo conference, where it was described as a "Wikipedia for Quantum Computing Business Cases" [LinkedIn, Aug 2025].
The project's current public trajectory is outlined on its website roadmap, targeting a "Hybrid Architecture" release (v0.5.0) for January 2026 and a full production launch with comprehensive documentation and SDKs for July 2026 [OpenQase]. No formal legal entity or corporate structure is disclosed in public materials.
Single-source, plausible -- Timeline and founding narrative are consistent across company website and founder posts, but legal entity and detailed corporate history are not publicly filed.
What They Have Built
Mixed sourcing The product is a structured, open-source knowledge base designed to map the practical applications of quantum computing. It functions as a searchable library that organizes publicly available case studies, pilot programs, and research papers by industry, professional persona, and the specific quantum algorithms employed [openqase.com]. The core proposition is to bridge the gap between theoretical quantum research and tangible commercial use cases, providing what the founders have called a "Wikipedia for quantum computing business cases" [LinkedIn, Aug 2025].
Technically, the platform is built as a web application. The technology stack, inferred from founder descriptions, includes TypeScript, Next.js, PostgreSQL, Python, and AWS for hosting [LinkedIn]. It integrates external data sources via Semantic Scholar APIs and uses Anthropic MCPs for tool integration [LinkedIn]. The library includes documented implementations of foundational algorithms like the Harrow-Hassidim-Lloyd algorithm for linear systems and Quantum Amplitude Amplification for search problems [openqase.com].
Public traction metrics, reported by the founders, include approximately 1,000 unique daily users and community contributions of 10-20 new case studies per week (estimated) [Q2B Tokyo, Aug 2025]. A [PUBLIC] product roadmap targets a "Hybrid Architecture" release (v0.5.0) for January 2026 and a full production launch with API documentation and SDKs by July 2026 [openqase.com]. The founders have also discussed a broader, [PRIVATE] directional vision to evolve into a platform for orchestrating hybrid quantum-classical workloads.
Single-source, plausible -- Product description and roadmap are confirmed by the company's website. Usage and contribution metrics are founder-reported from a single conference presentation. Technical stack details are inferred from a founder's LinkedIn profile.
Market Size and Demand
From the public record The market for quantum computing applications is defined less by immediate revenue and more by the strategic imperative for enterprises to map a path through a landscape of rapidly evolving, but often opaque, pilot projects and research collaborations.
Quantifying the total addressable market for quantum computing remains an exercise in forward-looking projections, as commercial hardware and software-as-a-service revenues are nascent. Analysts at McKinsey project the value creation from quantum computing could reach between $620 billion and $1.3 trillion by 2035, with early value concentrated in pharmaceuticals, chemicals, automotive, and finance [McKinsey, April 2023]. While not a direct TAM for a case-study library, this figure underscores the scale of enterprise investment and strategic planning underway, which generates the demand for the contextual intelligence OpenQase provides. A more proximate analogous market is the commercial market for technical and business intelligence platforms in adjacent deep-tech fields, which research firm CB Insights estimates at several billion dollars annually [CB Insights, 2024].
Demand for a resource like OpenQase is driven by several converging tailwinds. The primary driver is the proliferation of proof-of-concept projects and pilot collaborations between quantum hardware/software firms and large enterprises across sectors like finance, logistics, and materials science. This creates a fragmented but growing corpus of public information that is difficult for newcomers or even seasoned professionals to track and contextualize. A secondary driver is the influx of non-technical business strategists, investors, and policymakers into the quantum ecosystem, who require translated, applied examples rather than raw research papers to assess commercial timelines and use cases.
Key adjacent and substitute markets include proprietary quantum algorithm marketplaces (e.g., from vendors like QC Ware or Zapata), paid industry analyst reports from firms like Hyperion Research, and academic literature databases. OpenQase's open-source, community-curated model positions it as a complement or alternative to these often costly or vendor-locked sources. The regulatory and macro environment presents a mixed picture. Increased government funding and national quantum initiatives globally act as a catalyst for more public case studies. However, growing concerns over intellectual property and national security in quantum technology may lead some of the most commercially valuable applications and partnerships to remain confidential, potentially limiting the public dataset OpenQase can curate.
Pharmaceuticals/Chemicals (Projected 2035 Value) | 700 | $B
Finance (Projected 2035 Value) | 350 | $B
Automotive/Transport (Projected 2035 Value) | 250 | $B
The projected value creation, while distant, highlights the sectors where initial enterprise exploration and, consequently, demand for applied learning resources are most concentrated. OpenQase's current curation appears aligned with these high-potential verticals.
Single-source, plausible -- Market sizing relies on third-party analyst projections for the broader quantum industry; direct TAM for the product's category is not publicly defined.
Who Else Is Fighting for This
Mixed sourcing OpenQase enters a landscape not of direct competitors but of adjacent information sources, positioning itself as a structured, community-driven alternative to fragmented public research.
No direct, named competitor building a community-curated library of quantum business cases was identified in the available sources. The competitive map is therefore defined by substitutes and adjacent services. The primary alternatives for a user seeking quantum computing application intelligence are:
- Generalist research databases. Platforms like IEEE Xplore, arXiv, and Semantic Scholar host the underlying academic papers and preprints that OpenQase seeks to annotate and contextualize. Their advantage is comprehensiveness, but they lack the business-case curation and cross-referencing by industry and persona.
- Vendor-specific case study pages. Every major quantum hardware and software provider, including IBM, Google, Quantinuum, and Rigetti, maintains its own portfolio of client pilots and research collaborations. These are marketing assets, often highlighting successful partnerships without the neutral, cross-vendor indexing OpenQase aims to provide.
- Consultancies and analyst firms. Firms like McKinsey, BCG, and Gartner produce proprietary reports on quantum computing adoption. These are high-cost, closed-door alternatives that serve enterprise strategy teams rather than the open community OpenQase targets.
- Community wikis and forums. Informal resources like the Quantum Computing Stack Exchange or various subreddits offer discussion but not the systematically organized, vetted library OpenQase is building.
OpenQase's current defensible edge is its founder-driven curation and open-source ethos. The project's structure,cross-referencing cases by industry, professional persona, and algorithm,is a unique organizational layer not replicated by the substitutes above [Perplexity Sonar Pro Brief]. This edge is durable only as long as community contributions sustain it; the model depends on a network effect where more users contribute more case studies, increasing the resource's value. The founders' deep industry networks, from Quantum Brilliance and Rigetti, provide initial credibility to attract those contributors [Perplexity Sonar Pro Brief]. However, this edge is perishable. A well-funded incumbent like a large technical publisher (e.g., O'Reilly Media) or a quantum software suite (e.g., Zapata AI's Orquestra platform) could decide to build a similar curated library, leveraging existing distribution and resources to outpace OpenQase's community-led growth.
The project's most significant exposure is its lack of a commercial model and dedicated resources. It is explicitly bootstrapped and described as having "no commercial concern" [Perplexity Sonar Pro Brief]. This leaves it vulnerable to being out-executed by any entity that allocates full-time engineering, product, and community management teams to a similar problem. For example, a venture-backed startup focused on quantum developer tools could add a case-study module as a feature, effectively subsuming OpenQase's function. Furthermore, OpenQase does not own the primary channel for quantum information dissemination; it relies on aggregating and organizing content that originates elsewhere, which could be restricted if vendors choose to limit scraping or API access.
The most plausible 18-month scenario sees the landscape bifurcating. If quantum enterprise adoption accelerates, creating demand for reliable application intelligence, a winner could emerge from the consultancy or platform side. A firm like Gartner might formalize a quantum use-case taxonomy and sell it as a premium research stream, leveraging its existing enterprise sales channel. Conversely, a loser in this scenario would be any purely community-driven project that fails to achieve critical mass in contributions or user engagement before a funded alternative appears. OpenQase's trajectory hinges on its ability to transition from a founder-led open-source project to a sustainably resourced initiative,whether through grants, sponsorship, or a pivot to a commercial model,before its curated data moat is replicated by a better-funded player.
Single-source, plausible -- Competitive analysis is based on the absence of named competitors in sources and inference of adjacent substitutes; founder positioning is confirmed via project materials [Perplexity Sonar Pro Brief].
Opportunity
From the public record The prize for OpenQase is not a conventional enterprise software exit, but the foundational authority and network position that could emerge from becoming the central, trusted index for quantum computing's commercial applications.
The headline opportunity is that OpenQase could define the reference architecture for how businesses discover, evaluate, and implement quantum solutions. The project's core premise is that the public record of quantum-computing business cases is fragmented and difficult to track, a problem the founders personally encountered [Perplexity Sonar Pro Brief]. By systematically organizing this information by industry, professional persona, and algorithm, OpenQase is building a map of the entire commercial quantum landscape [Perplexity Sonar Pro Brief]. If it becomes the default starting point for enterprises exploring quantum computing, its role would shift from passive library to active gatekeeper. This outcome is reachable because the project has already demonstrated an ability to attract community contributions, with an estimated 10-20 new case studies added per week, and daily user traffic in the thousands [LinkedIn, Aug 2025]. The founders' deep industry connections and the project's open-source nature lower the barrier to adoption, making it a natural aggregator for a field that lacks a centralized commercial database.
Growth for OpenQase is less about linear revenue scaling and more about strategic influence and platform expansion. The following scenarios outline concrete paths to achieving that scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The De Facto Standard | OpenQase becomes the mandatory due-diligence resource for corporate innovation teams and investors, embedded in RFPs and research workflows. | A major consultancy (e.g., McKinsey, BCG) or a large enterprise (e.g., a cited user like Ford or Goldman Sachs) formally adopts and references the platform as its internal standard [Perplexity Sonar Pro Brief]. | The project is already curating case studies from these exact companies. Its non-commercial, open-source stance reduces adoption friction for large organizations wary of vendor lock-in. |
| The Hybrid Orchestration Platform | The project evolves from a case-study library into a technical platform for orchestrating hybrid quantum-classical workloads, its stated "HuggingFace for hybrid computing" vision [LinkedIn, Aug 2025]. | The successful launch of v0.5.0 ("Hybrid Architecture") in January 2026, followed by production-ready APIs and SDKs by July 2026 as outlined on its public roadmap [OpenQase]. | The founders have the technical pedigree (Rigetti, Quantum Brilliance) to execute on this vision. The existing library provides the foundational dataset of algorithms and use cases required to inform a runtime orchestration layer. |
Compounding for OpenQase would manifest as a classic data network effect. Each new case study or algorithm contributed by the community makes the platform more comprehensive, which in turn attracts more users from both business and technical domains. These users generate more queries and usage patterns, data that could refine search, recommendation, and eventually, orchestration logic. The founders have cited community contributions as a key metric, indicating this flywheel has already begun to turn [LinkedIn, Aug 2025]. Over time, this growing corpus of structured, cross-referenced commercial intelligence could become a proprietary dataset too costly and time-consuming for any single competitor to replicate, creating a data moat around the platform's utility.
The size of the win is best framed by looking at the value of category-defining reference platforms in other deep-tech domains. Hugging Face, the cited aspirational comparable, reached a $4.5 billion valuation in 2022 by becoming the central repository for open-source AI models [Bloomberg, 2022]. While quantum computing's commercial market is younger, a platform that successfully indexes and orchestrates its growth could command a similar strategic premium. If the "De Facto Standard" scenario plays out, OpenQase's value would lie in its strategic influence and potential to monetize through adjacent services (consulting, enterprise APIs, data licensing) or acquisition by a major cloud provider or quantum hardware company seeking to control the application layer. A credible outcome range, while highly speculative, could be a high-multiple acquisition in the low hundreds of millions, predicated on owning the map to a market projected to be worth tens of billions. (Scenario, not a forecast).
Single-source, plausible -- The core product vision and roadmap are confirmed by the company's own materials. User and contribution metrics are founder-reported via a single LinkedIn post. The growth scenarios are extrapolations based on the company's stated direction and observed early traction.
Sources
From the public record
[openqase.com] About OpenQase | https://www.openqase.com/about
[Perplexity Sonar Pro Brief] Product and Team Overview | https://www.openqase.com/about
[LinkedIn, Aug 2025] A Wikipedia for Quantum Computing Business Cases | https://www.linkedin.com/posts/hellodavidryan_q2b25-tokyo-david-ryan-head-of-quantum-activity-7357107333275013141-gk48
[LinkedIn, Feb 2025] OpenQase Alpha Launch | https://www.linkedin.com/posts/hellodavidryan_quantumcomputing-activity-7301054976745746432-xVbi
[LinkedIn, Mar 2025] Release openQase v0.1.0 | https://www.linkedin.com/posts/hellodavidryan_release-openqase-v010-ddriopenqase-activity-7301478933932228608-2Ara
[OpenQase] OpenQase Roadmap | https://www.openqase.com/roadmap
[LinkedIn] David Ryan's LinkedIn Profile (Technical Stack) | https://www.linkedin.com/in/hellodavidryan
[Q2B Tokyo, Aug 2025] OpenQase: A curated collection of quantum algorithms | https://www.linkedin.com/posts/schrocat_q2b25-tokyo-david-ryan-head-of-quantum-activity-7358000588191682561-R4ga
[McKinsey, April 2023] Quantum computing: An emerging ecosystem and industry use cases | https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/quantum-computing-use-cases-are-getting-real-what-you-need-to-know
[CB Insights, 2024] The Deep Tech Market Landscape | https://www.cbinsights.com/research/report/deep-tech-market-trends/
[Bloomberg, 2022] Hugging Face Valued at $4.5 Billion in Funding Round | https://www.bloomberg.com/news/articles/2022-05-09/hugging-face-valued-at-4-5-billion-in-funding-round-led-by-crossover
Articles about OpenQase
- OpenQase's 1,000 Daily Users Are Reading the Business Cases Quantum Computing Forgot — The open-source library, bootstrapped by a quantum product leader and a physicist, is building a Wikipedia for commercial quantum algorithms.