{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Hyperbolic analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/hyperbolic","json_url":"https://onlylabs.fyi/analysis/hyperbolic/evidence.json","generated_at":"2026-06-11T18:04:20.813Z","org":{"slug":"hyperbolic","name":"Hyperbolic","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/hyperbolic"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":39,"web":0,"evidence":67,"signal_desks":{"hiring":13,"forks":2,"releases":11,"talking":0,"repos":13},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Member of Technical Staff - Full Stack","date":"2026-06-11T04:12:54.5752+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/668d9b32-b1f5-41a6-9e8e-5e3978ec555c","signal_url":null,"signal_json_url":null,"text":"# Member of Technical Staff - Full Stack\n\nTeam: Engineering\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-02-10T16:07:36.986+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nAs a Full Stack Engineer at Hyperbolic Labs, you’ll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform. You’ll contribute across the stack — from infrastructure and backend systems to intuitive frontend interfaces — helping us deliver a seamless experience for our GPU marketplace, inference tools, and platform services.\n\nIn this role, you’ll be deeply involved in shaping both our product and the technology behind it. You’ll architect scalable systems, implement new features, and continuously improve our development practices to support rapid growth. This is a high-impact role where you’ll collaborate with talented engineers to build the backbone of Hyperbolic’s core products.\n\nWHO YOU ARE\n\n- 8+ years of experience in full-stack development, preferably in high-growth product environments.\n\n- Expert in Node.JS, TypeScript, with some Python fluency for backend systems\n\n- Experience with Drizzle ORM, Postgres, and Vercel and Github-based CI/CD pipelines.\n\n- Strong product sense — you care about user"},{"ref":"P2","kind":"page","title":"Senior GPU Infrastructure Engineer","date":"2026-06-11T04:12:54.567258+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/0cd2cbf3-bc38-4e02-84c1-ac7a7c285105","signal_url":null,"signal_json_url":null,"text":"# Senior GPU Infrastructure Engineer\n\nTeam: Engineering\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nPublished: 2026-03-26T00:23:22.981+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.\n\nWHO YOU ARE\n\n- Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows\n\n- Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization\n\n- Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration managem"},{"ref":"P3","kind":"page","title":"Senior Data Analytics Engineer","date":"2026-06-11T04:12:54.534733+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/87282817-fd20-415c-bd9f-7e06d1f9f114","signal_url":null,"signal_json_url":null,"text":"# Senior Data Analytics Engineer\n\nTeam: Strategy\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nPublished: 2026-02-17T20:09:06.694+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.\n\nAs a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.\n\nWHO YOU ARE\n\n- 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership\n\n- Strong SQL and Python scripting skills for data manipulation and analysis\n\n- Expert at data debugging and ensuring data correctness with a proactive approach to data health\n\n- "},{"ref":"P4","kind":"page","title":"Senior Site Reliability Engineer","date":"2026-06-11T04:12:54.534733+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/cb366294-41bb-4510-bc5b-19ce055c4643","signal_url":null,"signal_json_url":null,"text":"# Senior Site Reliability Engineer\n\nTeam: Engineering\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nPublished: 2026-03-26T00:25:30.162+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe're seeking a Site Reliability Engineer to ensure Hyperbolic's GPU marketplace and AI infrastructure operate with exceptional reliability, performance, and security. As an aggregator of compute resources from hundreds of global suppliers, our SLOs, trust, and economic efficiency are product-critical. You'll be responsible for defining and maintaining service level objectives for job success rates, building robust incident response systems, managing capacity across our distributed GPU network, and implementing secure rollout and rollback mechanisms that keep our platform running smoothly 24/7.\n\nIn this role, you'll establish the reliability standards that define customer trust in our platform, design monitoring and alerting systems that provide deep visibility into our infrastructure, build automation for capacity management and resource allocation, lead incident response and post-mortem processes, and work closely with engineering teams to improve system resilience. You'll also focus on security and infrastructure hardening, ensuring strong isolation between tenants and suppliers, implementing key management systems, an"},{"ref":"P5","kind":"page","title":"Senior Platform Engineer","date":"2026-06-11T04:12:54.478266+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/78ff7797-58d4-435a-a229-58425036d716","signal_url":null,"signal_json_url":null,"text":"# Senior Platform Engineer\n\nTeam: Engineering\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nPublished: 2026-03-31T17:08:49.196+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe're seeking a Platform Engineer to design and build the control plane that powers Hyperbolic's GPU marketplace. This is the \"aggregator brain\" that transforms raw compute from hundreds of diverse vendors into a unified, programmable product. You'll architect the abstractions, policies, and golden paths that enable thousands of developers to seamlessly access GPU resources across our global network without thinking about the underlying complexity.\n\nIn this role, you'll design the tenant management system, build resource lifecycle APIs, implement identity and access control, establish billing and quota frameworks, and create the multi-cloud abstractions that make our platform feel native regardless of the underlying provider. You'll work closely with our engineering team to craft elegant solutions for complex distributed systems challenges, ensuring our control plane is robust, scalable, and developer-friendly. This is a foundational engineering role where your architectural decisions will shape how AI developers worldwide interact with compute resources.\n\nWHO YOU ARE\n\n- Expert in platform engineering with experience designing an"},{"ref":"P6","kind":"page","title":"Head of Finance ","date":"2026-06-11T04:12:54.314712+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/52e7a10d-6dc6-4299-a1fa-9db0b4f29766","signal_url":null,"signal_json_url":null,"text":"# Head of Finance \n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-04-27T18:41:22.450+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nAbout the Role\n\nWe’re seeking a Head of Finance to build and scale the financial foundation of Hyperbolic as we grow our GPU marketplace and AI infrastructure platform. As an aggregator of compute supply and demand across a global network, our unit economics, pricing, and financial discipline are critical to the success of the business. You’ll partner closely with the CEO to ensure operational excellence across finance while shaping how we think about margins, pricing, and long-term sustainability.\n\nIn this role, you’ll establish and own core financial operations including accounting, AR/AP, and reporting, while building robust financial planning and forecasting systems that provide clarity into company performance. You’ll define and refine GPU unit economics, develop models around reservation, utilization, and cost structure, and guide pricing strategy to ensure strong margins across every deal. You’ll also manage financial relationships with suppliers, oversee billing and reconciliation across a complex network of customers and vendors, and improve cash flow predictability.\n\nThis is a high-impact position where your"},{"ref":"P7","kind":"page","title":"Forward Deployed Infrastructure Engineer","date":"2026-06-11T04:12:54.280026+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/7032b5b6-3ecf-447f-a40c-e522807d807b","signal_url":null,"signal_json_url":null,"text":"# Forward Deployed Infrastructure Engineer\n\nTeam: Engineering\n\nLocation: Remote\n\nEmployment type: FullTime\n\nPublished: 2026-04-16T16:10:50.718+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nHyperbolic is scaling fast, and customers need to trust us from day one. We’re looking for someone technical enough to validate performance and smart enough to make it simple for others and build credibility with customers. You’ll bridge the gap between infra suppliers and technical customers, ensuring what we sell is what we deliver.\n\nWHAT YOU’LL OWN\n\n- Customer benchmarking & coordination\n\nBe the technical point-of-contact during trials, running both standardized and custom benchmarks to prove our value.\n\n- Design and run performance tests\n\nDesign, run, and analyze benchmarks across customer workloads — including comparisons against AWS, Lambda, and others.\n\n- Debug and optimize customer trials\n\nDiagnose performance issues (GPU utilization, NCCL setup, container configs) and recommend fixes.\n\n- Reporting & documentation\n\nPackage results into clear, credible reports and handoffs that make technical findings easy to act on.\n\n- Maintain benchmarking infrastructure\n\nOwn and maintain the scripts, containers, and environments used to validate performance across SKUs and setups.\n\n- Continuous iteration\n\nIdentify performance gaps, optimize cluste"},{"ref":"P8","kind":"page","title":"Head of Talent ","date":"2026-06-11T04:12:54.276891+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/3c3c2b79-2557-49b3-9260-994e5de0d538","signal_url":null,"signal_json_url":null,"text":"# Head of Talent \n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-04-27T18:36:50.019+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nAbout the Role\n\nWe’re seeking a Head of Talent to build and scale Hyperbolic’s recruiting function as we grow our team and expand our platform. As an early-stage company operating at the intersection of AI infrastructure and distributed compute, our ability to attract and hire exceptional talent is critical to our success. You’ll partner closely with founders and leadership to define hiring strategy, prioritize roles, and build a high-performing, scalable hiring engine.\n\nIn this role, you’ll establish and own end-to-end recruiting processes, define structured interview frameworks, and implement systems that enable efficient, high-quality hiring across technical and business functions. You’ll personally lead searches for critical roles, particularly in engineering and infrastructure, while developing creative sourcing strategies for highly competitive talent markets. You’ll also define and track recruiting metrics, build reporting systems that provide visibility into pipeline health and hiring performance, and continuously optimize funnel efficiency and candidate experience.\n\nThis is a high-impact position where your wo"},{"ref":"P9","kind":"page","title":"Head of Supply","date":"2026-06-11T04:12:54.255885+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/9d1d8e21-a7eb-46a3-bc70-d01536ff79e9","signal_url":null,"signal_json_url":null,"text":"# Head of Supply\n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-04-27T18:53:56.011+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nAbout the Role\n\nWe're seeking a Head of Supply to build and scale the GPU supply side of Hyperbolic's marketplace. This is a relationships-first role where your existing connections with data centers, NeoClouds, and GPU suppliers are your most valuable asset. You'll be responsible for onboarding a large number of NeoCloud providers to our platform, sourcing GPU capacity through your network, and ensuring we always have the supply needed to meet customer demand. This isn't a traditional supply chain role—we're looking for someone who knows the GPU landscape intimately, has direct relationships with suppliers, and can pick up the phone to find capacity when needed.\n\nYou will manage ongoing supplier relationships, maintain accurate inventory and pricing data, process reserve deals by matching customer requests with the right suppliers, and work closely with our sales team to rapidly respond to \"Can you find me X GPUs?\" requests. You'll ensure our scaling limit is demand, not supply availability. This role combines supplier relationship management, deal sourcing, and technical understanding of GPU infrastructure—requiring s"},{"ref":"P10","kind":"page","title":"Operations Specialist","date":"2026-06-11T04:12:54.227151+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/e40d0016-c1f3-4b14-9830-b0157ace173e","signal_url":null,"signal_json_url":null,"text":"# Operations Specialist\n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nPublished: 2026-04-29T14:50:25.857+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe’re seeking an Operations Specialist to support and scale the operational backbone of Hyperbolic as we grow our GPU marketplace and AI infrastructure platform. Operating at the intersection of supply, demand, and financial systems, this role is critical to ensuring the business runs efficiently and scales with discipline.\n\nIn this role, you’ll work cross-functionally with finance, go-to-market, and supply teams to build and optimize core operational processes. You’ll help stand up and refine invoicing and billing systems, support budgeting and financial tracking, and ensure strong alignment between supply availability and sales pipeline. You’ll also play a key role in onboarding new suppliers and customers, improving operational workflows, and supporting pricing strategy and GPU financing initiatives.\n\nAdditionally, you will take ownership of key financial and operational administrative functions, including applying for and managing credit lines to support business operations, as well as organizing, reviewing, and maintaining critical business documentation. This includes developing a strong understanding of contracts, ensuring acc"},{"ref":"P11","kind":"page","title":"Technical Writer","date":"2026-06-11T04:12:53.998456+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/388e76f5-1eeb-40df-9b0a-c381715c0f57","signal_url":null,"signal_json_url":null,"text":"# Technical Writer\n\nTeam: Marketing\n\nLocation: Remote\n\nEmployment type: FullTime\n\nPublished: 2026-04-30T19:53:00.991+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe're looking for a technical writer who can create content on GPU architectures, distributed training, inference optimization, and AI infrastructure—topics where deep technical understanding drives credibility. You'll hold your own in conversations with AI researchers, validate technical claims before publishing, and engage authentically in communities like Discord and technical forums where our users live.\n\nYou'll own content creation across our website, pitch guest posts to publications, like Latent Space & SemiAnalysis, ghostwrite technical thought leadership for our executives, and stay current on what's happening in AI infrastructure. We need someone who can generate ideas independently, research deeply, and ship accurate content quickly. If you're the kind of person who reads arXiv papers for fun and can explain NCCL tuning in plain English, this role is for you.\n\nWHO YOU ARE\n\n- 3+ years of experience in technical writing, developer content, technical content marketing, or similar roles writing for technical audiences\n\n- Strong technical writing ability for highly technical topics in AI, ML, cloud infrastructure, or developer tools with proven"},{"ref":"P12","kind":"page","title":"Head of Operations","date":"2026-06-11T04:12:53.997508+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/d3d5cab8-7460-431a-9327-1c6633ec35a9","signal_url":null,"signal_json_url":null,"text":"# Head of Operations\n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-05-19T13:14:26.571+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe’re seeking a Head of Operations to own and scale the operational backbone of Hyperbolic during a period of rapid growth. This is a senior, high-impact leadership role responsible for ensuring that revenue operations, customer operations, supply coordination, and internal execution scale smoothly as the company grows from ~10 to 100+ employees.\n\nYou will sit at the center of the business, overseeing end-to-end operations across revenue, customers, and infrastructure. This includes managing billing and invoicing systems, aligning GPU supply with customer demand, and building the operational rigor required to support a global compute marketplace.\n\nYou will directly manage and mentor the Business Operations Specialist, supporting execution across finance operations, onboarding workflows, and cross-functional process design. This is a highly hands-on role for someone who can both build scalable systems and step directly into execution when needed.\n\nYou will partner closely with the CEO and leadership team to execute company priorities, improve cross-functional alignment, and establish the operational i"},{"ref":"P13","kind":"page","title":"HR Generalist ","date":"2026-06-11T04:12:53.988059+00:00","date_source":null,"source_url":"https://jobs.ashbyhq.com/hyperbolic/7f9f97f0-dff7-404e-895d-cf7ff863cf10","signal_url":null,"signal_json_url":null,"text":"# HR Generalist \n\nTeam: Operations\n\nLocation: San Francisco, CA\n\nEmployment type: FullTime\n\nWorkplace type: Hybrid\n\nRemote: yes\n\nPublished: 2026-05-21T15:45:16.364+00:00\n\nWHO WE ARE\n\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\n\nAs we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.\n\nABOUT THE ROLE\n\nWe’re seeking an HR Generalist to support and scale the people operations foundation of Hyperbolic as we grow our GPU marketplace and AI infrastructure platform. As a fast-moving company operating across distributed teams and highly technical functions, creating a seamless employee experience and strong operational infrastructure is critical to our success.\n\nIn this role, you’ll own and optimize core people operations workflows across onboarding, offboarding, benefits administration, employee lifecycle management, and internal operations. You’ll work closely with hiring managers and leadership to ensure every new hire has a structured and successful onboarding experience, including customized 30/60/90-day onboarding plans, documentation, systems setup, and operational readiness from day one.\n\nYou’ll also manage key employee operations processes including Google Workspace administration, Slack, Notion, employee access systems, benefits administration through Justworks, COBRA documentation, Carta vesting coordination, and annual performance review cycles. In addition, you’ll help support broader operationa"},{"ref":"P14","kind":"page","title":"HyperbolicLabs/.github repository metadata","date":"2026-06-11T04:10:02.283783+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/.github","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/.github\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-04-26T21:06:54Z\n\nPushed: 2025-06-26T03:11:50Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Building the Web for Web3\nAt Hyperbolic Labs, our mission is to build the web for Web3 by developing a decentralized microservices platform, powered by an internet-scale mesh network. Join us on this journey as we innovate and revolutionize the future of the web.\n\nCheck out our website at [https://www.hyperbolic.xyz/](https://www.hyperbolic.xyz/)!"},{"ref":"P15","kind":"page","title":"HyperbolicLabs/challenge repository metadata","date":"2026-06-11T04:10:02.112628+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/challenge","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/challenge\n\nDescription: Hyperbolic Kubernetes Coding Challenge\n\nStars: 4\n\nForks: 1\n\nOpen issues: 1\n\nCreated: 2024-06-04T20:55:07Z\n\nPushed: 2025-02-17T22:11:44Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n* Introduction\n\nWe've gotten a positive impression of your relevant skillset and experience, and are keen to move to the next phase of the interview process. This is our technical challenge, which we expect will take approximately four hours. It is highly relevant to the day-to-day work you would be doing on the Platform Engineering team. We understand this is a meaningful time commitment, and have done our best to make sure it is not wasted:\n\n1) At the end of the challenge, you are likely to have a viable portfolio project to show off independent of Hyperbolic.\n\n2) Acing this takehome and demo means your code screening is done. After a successful system design interview (e.g. using Excalidraw), Engineering will ask Management to schedule a final interview.\n\n* Challenge Specification\n\n** requirements\n\nWe would like you to develop and deploy an open-source golang project to a kubernetes cluster.\n\n*** code\n\nThe golang container itself should live in a kubernetes cluster and demonstrates the following programmatic capabilities\n\n- [ ] takes basic input from an http frontend\n- UI is not important - we would just like to be able to test your deployment live on our end. A simple html input field with a button or two is fine!\n\n- [ ] creates Kubernetes resources (e.g. pods, services) dynamically from user input\n- for example: the user enters a bash command, and clicks 'enter' - then your golang controller creates a kubernetes job that runs that command and displays the output.\n\n- [ ] deletes Kubernetes resources dynamically\n\n- [ ] reads from in-cluster resources to display basic information on the frontend.\n- example: \"deployment has 2/2 replicas ready\"\n\n*** gitops\n\n- [ ] The deployment should be managed by ArgoCD such that a 'git push' to the repo is automatically (or semi-automatically) deployed to the cluster.\n\n** scope\n\nIt may be too much to hope for in a job interview, but we do aspire to leave room for 'fun' in this coding challenge. To "},{"ref":"P16","kind":"page","title":"HyperbolicLabs/Hyper-dOS repository metadata","date":"2026-06-11T04:10:02.109231+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/Hyper-dOS","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/Hyper-dOS\n\nDescription: Hyperbolic Distributed Operating System\n\nLanguage: Go\n\nLicense: GPL-3.0\n\nStars: 30\n\nForks: 14\n\nOpen issues: 3\n\nCreated: 2024-05-15T22:07:04Z\n\nPushed: 2025-07-16T23:02:37Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic Distributed Operating System\n\n## Install HyperdOS (single-node setup from scratch)\n\n[ TODO curl -fsSL https://install.hyperbolic.xyz/hyperdos.sh | bash ]: #\n\n```bash\ncurl -o install.bash https://raw.githubusercontent.com/HyperbolicLabs/Hyper-dOS/refs/heads/main/install.bash && bash install.bash\n```\n\n### To access your cluster for maintenance\n\n1. install k9s: https://k9scli.io/topics/install/\n\n2. run the following command to save the kubeconfig (which should be kept secret)\n\n``` bash\n# NOTE: you can skip this mkdir command if your .kube directory already exists\nmkdir ~/.kube\n\n# write the microk8s kubeconfig secret to the expected location\nmicrok8s config > ~/.kube/config\n\n# access your cluster using the kubeconfig\nk9s\n```\n\n### Installation Walkthrough Video\n\n[![Walkthrough Video](https://img.youtube.com/vi/WOUPLMVn0sE/0.jpg)](https://www.youtube.com/watch?v=WOUPLMVn0sE)\n\n### Headless Install\n\nIf you would like to install in a scripted environment, set these variables prior to running the install script:\n\n``` bash\nexport HEADLESS=true\nexport TOKEN=<your-hyperbolic-token>\nexport ALLOCATE_ROOT_DISK_GB=<integer-gb-of-root-disk-to-allocate-to-microceph>\n```\n\n### Notes\n\n- If you would like to run the install script yourself rather than curling from github, you are welcome to download and edit the [install.bash](https://github.com/HyperbolicLabs/Hyper-dOS/blob/main/install.bash) file before running it on your node.\n\n- We do not officially support operating systems other than Linux. That being said, if you would like to join the Hyperbolic Supply Network from a Windows or MacOS device, you are welcome to give it a shot:\n\n- <https://microk8s.io/docs/install-alternatives>\n\n- We officially support single-node microk8s+microceph clusters only, HOWEVER - a custom multi-node cluster should work smoothly if configured properly. See below for customized installation guidelines:\n\n## (experimental) add mor"},{"ref":"P17","kind":"page","title":"HyperbolicLabs/hyperbolic-gradio repository metadata","date":"2026-06-11T04:10:01.738423+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-gradio","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/hyperbolic-gradio\n\nLanguage: Python\n\nStars: 18\n\nForks: 1\n\nOpen issues: 0\n\nCreated: 2024-11-14T01:25:42Z\n\nPushed: 2024-11-29T23:24:57Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n# `hyperbolic-gradio`\n\nis a Python package that makes it very easy for developers to create machine learning apps that are powered by Hyperbolic AI's API.\n\n# Installation\n\nYou can install `hyperbolic-gradio` directly using pip:\n\n```bash\npip install hyperbolic-gradio\n```\n\nThat's it! \n\n# Basic Usage\n\nJust like if you were to use the `hyperbolic` API, you should first save your Hyperbolic API key to this environment variable:\n\n```\nexport HYPERBOLIC_API_KEY=<your token>\n```\n\nThen in a Python file, write:\n\n```python\nimport gradio as gr\nimport hyperbolic_gradio\n\ngr.load(\nname='meta-llama/Meta-Llama-3-70B-Instruct',\nsrc=hyperbolic_gradio.registry,\n).launch()\n```\n\nRun the Python file, and you should see a Gradio Interface connected to the model on Hyperbolic AI!\n\n![ChatInterface](https://raw.githubusercontent.com/HyperbolicLabs/hyperbolic-gradio/master/chatinterface.png)\n\n# Customization \n\nOnce you can create a Gradio UI from an Hyperbolic API endpoint, you can customize it by setting your own input and output components, or any other arguments to `gr.Interface`. For example, the screenshot below was generated with:\n\n```py\nimport gradio as gr\nimport hyperbolic_gradio\n\ngr.load(\nname='meta-llama/Meta-Llama-3-70B-Instruct',\nsrc=hyperbolic_gradio.registry,\ntitle='Hyperbolic-Gradio Integration',\ndescription=\"Chat with Meta-Llama-3-70B-Instruct model.\",\nexamples=[\"Explain quantum gravity to a 5-year old.\", \"How many R are there in the word Strawberry?\"]\n).launch()\n```\n![ChatInterface with customizations](https://raw.githubusercontent.com/HyperbolicLabs/hyperbolic-gradio/master/hyperbolic-gradio.png)\n\n# Composition\n\nOr use your loaded Interface within larger Gradio Web UIs, e.g.\n\n```python\nimport gradio as gr\nimport hyperbolic_gradio\n\nwith gr.Blocks() as demo:\nwith gr.Tab(\"Meta-Llama-3-70B-Instruct\"):\ngr.load('meta-llama/Meta-Llama-3-70B-Instruct', src=hyperbolic_gradio.registry)\nwith gr.Tab(\"Llama-3.2-3B-Instruct\"):\ngr.load('meta-llama/Llama-3.2-3B-Instruct', src=hyperbol"},{"ref":"P18","kind":"page","title":"HyperbolicLabs/Hyperbolic-AgentKit repository metadata","date":"2026-06-11T04:10:01.609539+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/Hyperbolic-AgentKit","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/Hyperbolic-AgentKit\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 111\n\nForks: 60\n\nOpen issues: 19\n\nCreated: 2024-12-15T22:08:48Z\n\nPushed: 2025-04-03T06:41:17Z\n\nDefault branch: master\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic's Agent Framework\n\nThis repository is inspired by and modified from Coinbase's [CDP Agentkit](https://github.com/coinbase/cdp-agentkit). We extend our gratitude to the Coinbase Developer Platform team for their original work.\nFor the voice agent, we extend the work of [langchain-ai/react-voice-agent](https://github.com/langchain-ai/react-voice-agent).\n\nWe recommend reading this entire README before running the application or developing new tools, as many of your questions will be answered here.\n\n## Features\n\nThis template demonstrates a chatbot with the following capabilities:\n\n### Compute Operations (via Hyperbolic):\n\n- Connect Ethereum wallet address to Hyperbolic account\n- Rent GPU compute resources\n- Terminate GPU instances\n- Check GPU availability\n- Monitor GPU status\n- Query billing history\n- SSH access to GPU machines\n- Run command line tools on remote GPU machines\n\n### Blockchain Operations (via CDP):\n\n- Deploy tokens (ERC-20 & NFTs)\n- Manage wallets\n- Execute transactions\n- Interact with smart contracts\n\n### Twitter Operations:\n\n- Get X account info\n- Get User ID from username\n- Get an account's recent tweets\n- Post tweet\n- Delete tweet\n- Reply to tweet and check reply status\n- Retweet a tweet and check retweet status\n\n### Additional Tools:\n\n- **Podcast Agent**: Tools for video processing and transcription\n- `podcast_agent/aiagenteditor.py`: Trim video files using Gemini and ffmpeg\n- `podcast_agent/geminivideo.py`: Transcribe video files using Gemini\n\n### Knowledge Base Integrations:\n\n- Twitter Knowledge Base: Scrapes tweets from KOLs for informed X posting\n- Podcast Knowledge Base: Uses podcast transcripts for accurate Q&A\n\n## Writing Agent\n\nThe Writing Agent is a powerful LLM-powered tool that creates high-quality, well-researched articles using Claude. Key capabilities include:\n\n- **Content Generation**: Generate well-researched articles on any topic with configurable length and style\n- **Style Emulation**: \n- Anal"},{"ref":"P19","kind":"page","title":"HyperbolicLabs/jungle.proto repository metadata","date":"2026-06-11T04:10:01.507795+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/jungle.proto","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/jungle.proto\n\nDescription: Jungle Protocol\n\nLanguage: Makefile\n\nLicense: GPL-3.0\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-02-21T01:39:21Z\n\nPushed: 2025-07-02T00:14:43Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n#+TITLE: Jungle Protocol\n\n* Development\n\n** generate updated gRPC from .proto files\n#+begin_src shell\nmake gen\n#+end_src\n\n** format .proto files\n#+begin_src shell\nmake format\n#+end_src\n\n** style guide\n\n- https://buf.build/docs/best-practices/style-guide/\n- a good example: https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto"},{"ref":"P20","kind":"page","title":"HyperbolicLabs/hyperbolic-ts repository metadata","date":"2026-06-11T04:10:01.22582+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-ts","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/hyperbolic-ts\n\nDescription: A place for all open source typescript projects that support Hyperbolic.\n\nLanguage: TypeScript\n\nLicense: Apache-2.0\n\nStars: 4\n\nForks: 2\n\nOpen issues: 1\n\nCreated: 2025-03-11T21:57:04Z\n\nPushed: 2026-01-28T09:49:54Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic Labs Monorepo\n\nA place for all typescript projects that support Hyperbolic.\n\n## Documentation\n\n### AI SDK Provider\nSee here for the @hyperbolic/ai-sdk-provider documentation: https://github.com/HyperbolicLabs/hyperbolic-ts/blob/main/packages/ai-sdk-provider/README.md\n\nVisit <https://docs.hyperbolic.xyz/docs/getting-started> to view the documentation.\n\n## Contributing\n\nPlease read the [contributing guide](/CONTRIBUTING.md).\n\n## License\n\nLicensed under the [MIT license](https://github.com/HyperbolicLabs/hyperbolic-ts/blob/main/LICENSE.md)."},{"ref":"P21","kind":"page","title":"HyperbolicLabs/hyperbolic-mcp repository metadata","date":"2026-06-11T04:10:01.104747+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-mcp","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/hyperbolic-mcp\n\nDescription: MCP Server for Claude\n\nLanguage: TypeScript\n\nLicense: MIT\n\nStars: 18\n\nForks: 4\n\nOpen issues: 0\n\nCreated: 2025-03-12T01:48:03Z\n\nPushed: 2025-05-21T23:51:39Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic GPU MCP Server\n\nInteract with Hyperbolic's GPU cloud, enabling agents and LLMs to view and rent available GPUs, SSH into them, and run GPU-powered workloads for you.\n\nhttps://github.com/user-attachments/assets/814d0327-ce5e-4c1b-90bc-7f3712aa1c68\n\n## Setup\n\n### Prerequisites\n\n- Node.js 16 or higher\n- npm or yarn\n- A Hyperbolic API token\n- (Optional) SSH private key for connecting to GPU instances\n\n### Getting a Hyperbolic Account and API Token\n\n1. Register for a Hyperbolic account:\n- Visit [https://app.hyperbolic.xyz/](https://app.hyperbolic.xyz/)\n- Create an account or log in to your existing account\n- Verify your email address\n\n2. Deposit funds into your account:\n- Log in to your Hyperbolic application\n- Navigate to the \"Billing\" tab\n- Select how much you want to deposit (we suggest starting with $25)\n- Click Pay Now\n- Follow the instructions to add funds to your account\n- Note that you will need sufficient funds to rent GPU instances\n\n3. Generate an API token:\n- In your Hyperbolic dashboard, navigate to \"Settings\" \n- Navigate to the API Key section\n- Copy the generated token and keep it secure\n- You will use this key in your MCP server configuration environment variables\n\n4. Add your SSH public key:\n- Generate an SSH key pair if you don't already have one\n- In your Hyperbolic application, navigate to the \"Settings\" section\n- Scroll down to the SSH Public Key section\n- Paste your public key (usually from ~/.ssh/id_rsa.pub or similar)\n- Click the save icon\n\n### Installation\n\n1. Clone this repository:\n\n```bash\ngit clone <your-repo-url>\ncd hyperbolic-mcp\n```\n\n2. Install dependencies:\n\n```bash\nnpm install\n```\n\n3. Build the TypeScript files:\n```bash\nnpm run build\n```\n\n## Usage\n\n### Running the server locally\n\nTo run the server:\n\n```bash\nnpm start\n```\n\n### Connecting with Claude for Desktop\n\n1. Add the server to your Claude for Desktop config:\n\n```json\n{\n\"mcpServers\": {\n\"hyperbolic-gpu\": {\n\"command\": "},{"ref":"P22","kind":"page","title":"HyperbolicLabs/hyperbolic-cli repository metadata","date":"2026-06-11T04:10:00.984451+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-cli","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/hyperbolic-cli\n\nLanguage: Go\n\nLicense: MIT\n\nStars: 1\n\nForks: 0\n\nOpen issues: 2\n\nCreated: 2025-05-14T03:17:38Z\n\nPushed: 2025-08-07T21:20:18Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic CLI\n\nDeveloper-first CLI to browse, rent, and manage Hyperbolic GPUs. Rent on-demand GPU VMs and bare‑metal clusters from $1.49 per hour.\n\n## Install\n\n```bash\nbrew install HyperbolicLabs/hyperbolic/hyperbolic\n```\n\n## Quick start\n\n```bash\nhyperbolic auth login\nhyperbolic --help\n```\n\n## Account setup\n\n1. Create an account: `https://app.hyperbolic.ai/` and verify your email.\n2. Add funds: go to Billing and deposit funds (we suggest starting with $25).\n3. Add SSH public key: Settings → SSH Public Key → paste your `~/.ssh/id_rsa.pub` (or `ed25519.pub`) and save.\n\n## Links\n\n- Docs: https://docs.hyperbolic.xyz\n- Dashboard: https://app.hyperbolic.ai/\n- License: MIT\n\n## Examples\n\n```bash\n# Browse on-demand marketplace\nhyperbolic ondemand\n\n# Rent an on-demand VM (1, 2, 4, 8 GPUs depending on availability)\nhyperbolic rent ondemand --instance-type virtual-machine --gpu-count 1\n\n#Rent and on-demand Bare Metal Cluster (Multiples of 8 GPUs depending on availability)\nhyperbolic rent ondemand --instance-type bare-metal --network-type infiniband --gpu-count 16\n\n# List and then terminate an instance\nhyperbolic instances\nhyperbolic terminate <instance-id>\n```"},{"ref":"P23","kind":"page","title":"HyperbolicLabs/feature-requests repository metadata","date":"2026-06-11T04:10:00.877073+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/feature-requests","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/feature-requests\n\nStars: 0\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-03-17T22:09:25Z\n\nPushed: 2025-03-17T22:09:25Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME: none published or not readable through the GitHub API."},{"ref":"P24","kind":"page","title":"HyperbolicLabs/hyperbolic-x402 repository metadata","date":"2026-06-11T04:10:00.589784+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-x402","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/hyperbolic-x402\n\nDescription: Hyperbolic Coinbase x402 Chat Completions API\n\nLanguage: TypeScript\n\nStars: 7\n\nForks: 2\n\nOpen issues: 1\n\nCreated: 2025-07-23T22:47:07Z\n\nPushed: 2025-09-12T23:14:40Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Hyperbolic x Coinbase x402 Inference API\n\n## What is x402?\n\nx402 is an open payment standard that enables services to charge for access to their APIs and content directly over HTTP using the `402 Payment Required` status code. It allows clients to programmatically pay for resources without accounts, sessions, or credential management, using crypto-native payments for speed, privacy, and efficiency.\n\nFor more detailed information about x402, visit the [official documentation](https://x402.gitbook.io/x402).\n\n## Implementation Overview\n\nThis integration demonstrates how to interact with the Hyperbolic API using x402 payments. The implementation uses the `x402-fetch` library to handle payment flows transparently, allowing you to access any model available on the [Hyperbolic Models](https://app.hyperbolic.ai/models) page.\n\n## API Endpoint\n\nThe integration targets the Hyperbolic x402 chat completions endpoint:\n\n```\nPOST https://hyperbolic-x402.vercel.app/v1/chat/completions\n```\n\n## Request Parameters\n\n### Headers\n\n| Header | Required | Description |\n| -------------- | -------- | ---------------------------------------- |\n| `Content-Type` | Yes | Must be `application/json` |\n| `Accept` | Yes | Must be `application/json` |\n| `X-Request-ID` | Yes | Unique identifier for the request (UUID) |\n\n### Request Body\n\nThe request body follows the OpenAI-compatible chat completions format:\n\n| Parameter | Type | Required | Description |\n| ------------- | ------- | -------- | ------------------------------------------------------------- |\n| `model` | string | Yes | The model to use (e.g., `\"meta-llama/Llama-3.2-3B-Instruct\"`) |\n| `messages` | array | Yes | Array of message objects with `role` and `content` |\n| `max_tokens` | number | No | Maximum number of tokens to generate (default: 512) |\n| `temperature` | number | No | Controls randomness (0.0 to 2.0, default: 0.1) |\n| `top_p` | number | No | Nuclear sampling param"},{"ref":"P25","kind":"page","title":"HyperbolicLabs/homebrew-hyperbolic repository metadata","date":"2026-06-11T04:10:00.482887+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/homebrew-hyperbolic","signal_url":null,"signal_json_url":null,"text":"# HyperbolicLabs/homebrew-hyperbolic\n\nDescription: Tap repo for hyperbolic-cli homebrew distribution \n\nLanguage: Ruby\n\nLicense: MIT\n\nStars: 1\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-07-09T16:51:11Z\n\nPushed: 2025-08-07T20:13:31Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME: none published or not readable through the GitHub API."},{"ref":"P26","kind":"page","title":"HyperbolicLabs/hyperbolic-ts @hyperbolic/ai-sdk-provider@0.1.1","date":"2026-06-11T04:06:03.858562+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-ts/releases/tag/%40hyperbolic/ai-sdk-provider%400.1.1","signal_url":null,"signal_json_url":null,"text":"# @hyperbolic/ai-sdk-provider@0.1.1\n\nRepository: HyperbolicLabs/hyperbolic-ts\n\nTag: @hyperbolic/ai-sdk-provider@0.1.1\n\nPublished: 2025-04-01T22:19:46Z\n\nPrerelease: no\n\nRelease notes:\n### Patch Changes\n\n- [#13](https://github.com/HyperbolicLabs/hyperbolic-ts/pull/13) [`6d53d2982a58215344fa66b3cf45d553e713d7f6`](https://github.com/HyperbolicLabs/hyperbolic-ts/commit/6d53d2982a58215344fa66b3cf45d553e713d7f6) Thanks [@connorch](https://github.com/connorch)! - Add links to repo in package.json"},{"ref":"P27","kind":"page","title":"HyperbolicLabs/Hyper-dOS v0.1.3","date":"2026-06-11T04:06:03.408001+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/Hyper-dOS/releases/tag/v0.1.3","signal_url":null,"signal_json_url":null,"text":"# v0.1.3\n\nRepository: HyperbolicLabs/Hyper-dOS\n\nTag: v0.1.3\n\nPublished: 2025-07-02T20:37:30Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* add doc by @condaatje in https://github.com/HyperbolicLabs/Hyper-dOS/pull/117\n* add multi-node doc by @condaatje in https://github.com/HyperbolicLabs/Hyper-dOS/pull/118\n* v0.1.3 by @condaatje in https://github.com/HyperbolicLabs/Hyper-dOS/pull/120\n\n**Full Changelog**: https://github.com/HyperbolicLabs/Hyper-dOS/compare/v0.1.2...v0.1.3"},{"ref":"P28","kind":"page","title":"HyperbolicLabs/hyperbolic-ts @hyperbolic/ai-sdk-provider@1.0.0","date":"2026-06-11T04:06:02.682034+00:00","date_source":null,"source_url":"https://github.com/HyperbolicLabs/hyperbolic-ts/releases/tag/%40hyperbolic/ai-sdk-provider%401.0.0","signal_url":null,"signal_json_url":null,"text":"# @hyperbolic/ai-sdk-provider@1.0.0\n\nRepository: HyperbolicLabs/hyperbolic-ts\n\nTag: @hyperbolic/ai-sdk-provider@1.0.0\n\nPublished: 2026-01-24T01:06:00Z\n\nPrerelease: no\n\nRelease notes:\n### Major Changes\n\n- [#21](https://github.com/HyperbolicLabs/hyperbolic-ts/pull/21) [`076f5c579788e628161d1b98c9af8428af3af511`](https://github.com/HyperbolicLabs/hyperbolic-ts/commit/076f5c579788e628161d1b98c9af8428af3af511) Thanks [@connorch](https://github.com/connorch)! - Remove support for chat and completion models (our APIs are now entirely compatible with openrouter). Upgrade to AI SDK v6"},{"ref":"E1","kind":"event","title":"HR Generalist ","date":"2026-05-21T15:45:16.364+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/hyperbolic/7f9f97f0-dff7-404e-895d-cf7ff863cf10","signal_url":"https://onlylabs.fyi/signals/0b691fb3-d8cc-4b4a-ba3d-ffdecddec9d5","signal_json_url":"https://onlylabs.fyi/signals/0b691fb3-d8cc-4b4a-ba3d-ffdecddec9d5/signal.json","text":"job_opened · HR Generalist  · signal_desk=hiring · occurred_at=2026-05-21T15:45:16.364+00:00 · url=https://jobs.ashbyhq.com/hyperbolic/7f9f97f0-dff7-404e-895d-cf7ff863cf10 · raw={\"location\":\"San Francisco, CA\",\"team\":\"Operations\",\"ats\":\"ashby\"}"},{"ref":"E2","kind":"event","title":"Head of 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","date":"2026-04-27T18:41:22.45+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/hyperbolic/52e7a10d-6dc6-4299-a1fa-9db0b4f29766","signal_url":"https://onlylabs.fyi/signals/cee449fb-38d0-466d-bbcd-8dbe80a3db0e","signal_json_url":"https://onlylabs.fyi/signals/cee449fb-38d0-466d-bbcd-8dbe80a3db0e/signal.json","text":"job_opened · Head of Finance  · signal_desk=hiring · occurred_at=2026-04-27T18:41:22.45+00:00 · url=https://jobs.ashbyhq.com/hyperbolic/52e7a10d-6dc6-4299-a1fa-9db0b4f29766 · raw={\"location\":\"San Francisco, CA\",\"team\":\"Operations\",\"ats\":\"ashby\"}"},{"ref":"E7","kind":"event","title":"Head of Talent ","date":"2026-04-27T18:36:50.019+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/hyperbolic/3c3c2b79-2557-49b3-9260-994e5de0d538","signal_url":"https://onlylabs.fyi/signals/ffc02c2b-127c-4186-87ba-030e7afd30fb","signal_json_url":"https://onlylabs.fyi/signals/ffc02c2b-127c-4186-87ba-030e7afd30fb/signal.json","text":"job_opened · Head of Talent  · signal_desk=hiring · occurred_at=2026-04-27T18:36:50.019+00:00 · url=https://jobs.ashbyhq.com/hyperbolic/3c3c2b79-2557-49b3-9260-994e5de0d538 · raw={\"location\":\"San Francisco, CA\",\"team\":\"Operations\",\"ats\":\"ashby\"}"},{"ref":"E8","kind":"event","title":"Forward Deployed Infrastructure Engineer","date":"2026-04-16T16:10:50.718+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/hyperbolic/7032b5b6-3ecf-447f-a40c-e522807d807b","signal_url":"https://onlylabs.fyi/signals/72129610-21ae-4a65-8406-d353f4e7a028","signal_json_url":"https://onlylabs.fyi/signals/72129610-21ae-4a65-8406-d353f4e7a028/signal.json","text":"job_opened · Forward Deployed Infrastructure Engineer · signal_desk=hiring · occurred_at=2026-04-16T16:10:50.718+00:00 · url=https://jobs.ashbyhq.com/hyperbolic/7032b5b6-3ecf-447f-a40c-e522807d807b · raw={\"location\":\"Remote\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E9","kind":"event","title":"Senior Platform Engineer","date":"2026-03-31T17:08:49.196+00:00","date_source":"ashby.publishedAt","source_url":"https://jobs.ashbyhq.com/hyperbolic/78ff7797-58d4-435a-a229-58425036d716","signal_url":"https://onlylabs.fyi/signals/9ce963dd-11d6-455d-9d3a-f6a86013c293","signal_json_url":"https://onlylabs.fyi/signals/9ce963dd-11d6-455d-9d3a-f6a86013c293/signal.json","text":"job_opened · Senior Platform Engineer · signal_desk=hiring · occurred_at=2026-03-31T17:08:49.196+00:00 · url=https://jobs.ashbyhq.com/hyperbolic/78ff7797-58d4-435a-a229-58425036d716 · raw={\"location\":\"San Francisco, CA\",\"team\":\"Engineering\",\"ats\":\"ashby\"}"},{"ref":"E10","kind":"event","title":"Senior Site Reliability 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