首期大零号湾源创加速营圆满结业：资本聚力、硬核创新共探AI+硬科技新征程

龚作仁 2026-09-20 15:15

龚作仁 2026/09/20 15:15

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你可以从这篇报道中快速获取首期大零号湾·源创加速营的核心信息，以及硬科技创业领域的通用实用干货。

1. 活动核心概况：本次活动是上海市科委等单位指导、为期三个月的硬科技培育项目的成果验收会，汇聚30余家硬科技企业、数十家一线投资与专业服务机构，设置生态参访、主题分享、对接路演等环节，打通从技术成长到资本赋能的全链路，帮企业完成从技术成立到商业成立的跨越。

2. 通用创业避坑干货：文中分享了科技企业增长的金字塔模型、优秀创始人的判断框架，点出硬科技企业重技术轻销售、脱离产业需求、管理粗放等通病，还梳理了股权设计、融资谈判、上市规划中的常见风险，即便没有创业计划，也能从中理解商业运行的底层逻辑，建立对硬科技行业的基础认知。

你可以从本次活动的行业分享中，把握AI+硬科技领域的商业化趋势、To B科技品牌的建设与增长逻辑，为自身的技术布局、品牌发展提供参考。

1. 产品研发方向提示：硬科技品牌容易陷入过度迷恋技术、延迟产品落地、闭门造车脱离产业需求的误区，品牌做技术类产品研发时，要优先锚定客户真实刚性的需求，甄别市场中的伪需求，平衡技术先进性与落地可行性，避免脱离市场的技术自嗨。

2. 品牌增长与布局参考：科技品牌增长要搭建从底层文化价值观、组织能力、技术产品到顶层销售市场的金字塔结构，不能重技术轻销售，要打造进取、透明、平等的品牌文化；当前资本重点关注软硬件融合、芯模联动、具身智能、AI for Science、商业航天、高端制造等赛道，品牌可提前布局相关领域的技术合作与场景落地，顺应价值兑现周期的行业要求，打磨自身的收入、毛利率、续费率表现。

你可以从本次加速营的安排与嘉宾分享中，梳理硬科技创业的避坑要点、融资实操方法，找到可对接的扶持资源与发展机会。

1. 核心风险提示：创业过程中要重点规避股权类风险，包括联合创始人权责不清无退出机制、早期股权激励缺少约束、融资时签订创始人无限回购责任条款等，AI赛道连续创业者还要及时清理过往项目的协议、知识产权隐患；经营中要避免重技术轻销售、商业化节奏与资源不匹配的问题，注意甄别市场中的伪需求与伪订单。

2. 实操与机会提示：挑选投资机构时要做好反向尽调，优先选择聚焦所在赛道、能深度陪伴并输出产业资源的投资方，融资节奏要匹配自身发展阶段，早期优先保障生存，具备议价能力后再争取品牌背书等增值资源；大零号湾已形成“空间+资本+服务+项目”的完整孵化闭环，其源创加速营可为入营企业提供一对一融资辅导、资源对接、全周期陪跑服务，硬科技创业者可关注相关招募信息获取扶持。

你可以从本次活动披露的赛道动向、产业协同趋势中，捕捉硬科技领域的生产配套需求，找到业务拓展与经营优化的方向。

1. 潜在商业机会提示：当前资本重点布局的具身智能、AI for Science、商业航天、高端制造、软硬件融合、芯模联动等前沿赛道，未来将释放大量核心零部件加工、工艺落地、供应链协同的需求，工厂可提前对接相关赛道的初创硬科技企业，切入前沿领域的供应链体系，打开新的增长空间。

2. 经营与转型参考：硬科技领域普遍看重真实需求匹配度、产品落地效率、场景不可替代性，工厂在对接科技类客户、推进自身数字化智能化升级时，要避免脱离实际需求的技术炫技，重视客户端的需求响应，匹配自身资源节奏推进改造，不要盲目超前投入；此外大零号湾等科创平台会持续举办产业对接活动，汇聚大量需要供应链配套的硬科技项目，工厂可主动对接获取精准合作机会。

你可以从本次活动的嘉宾分享与创业企业反馈中，精准把握AI+硬科技领域初创企业的普遍痛点，明确服务优化方向，挖掘客户需求。

1. 核心客户痛点梳理：硬科技初创企业普遍存在几类短板：一是股权架构设计不规范、融资条款风险识别能力弱、资本市场路径规划模糊，缺乏专业的合规指导；二是从技术到商业化的转化逻辑不清晰，存在BP打磨不足、融资策略经验欠缺、销售能力薄弱的问题；三是产业资源、资本对接渠道匮乏，组织管理能力粗放。

2. 服务优化方向参考：当前硬科技创业已告别概念叙事进入价值兑现周期，企业不再需要空泛的概念性服务，更需要能陪伴全周期成长、对接真实资源的务实服务；可参考部分投资机构的做法，将服务前置，依托自身产业生态为客户对接战略客户、供应链资源，打造深度陪跑的服务模式，提升自身服务的核心竞争力。

你可以从大零号湾源创加速营的运营实践与创业者反馈中，掌握硬科技孵化平台的建设逻辑，优化自身服务体系，明确运营方向。

1. 硬科技企业对平台的核心需求：初创硬科技企业不仅需要基础的物理办公空间，更需要全链条的创业赋能，涵盖认知层面的创业培训、资本端的对接渠道、产业端的客户与供应链资源、合规层面的专业辅导，以及同赛道创业者的交流社群。

2. 可借鉴的平台运营经验：大零号湾依托周边高校的源头创新资源，走出“校门口孵化”的特色路径，打造“空间+资本+服务+项目”的完整孵化闭环；其源创加速营采用三个月分阶段陪跑模式，设置趋势洞察、标杆参访、路演对接等环节，还安排投资人一对一对接辅导，切实解决企业实际问题。平台运营要做好长期服务的准备，持续深化校地、产业端协同，打造覆盖企业全生命周期的服务生态，才能真正培育出有竞争力的硬科技企业。

你可以从本次加速营的活动内容与运营实践中，梳理AI+硬科技领域的产业新动向、行业共性问题，以及科创孵化的新模式，为相关研究提供鲜活的实践样本。

1. 产业发展新动向：当前AI+硬科技投资已经告别概念叙事，全面进入价值兑现周期，收入、毛利率、续费率成为项目评估的核心标尺；投资热点向软硬件融合、芯模联动、具身智能、AI for Science、商业航天、高端制造等前沿方向转移；行业对竞争壁垒的认知也发生变化，静态技术壁垒具备较强时效性，能够持续迭代进化的创始团队才是企业长久的核心壁垒。

2. 行业共性问题与孵化新模式：硬科技初创企业普遍存在重技术轻销售、脱离产业需求、管理粗放、股权架构不规范、融资风险意识薄弱等问题，不少企业并非败于市场竞争，而是倒在内部治理问题上；大零号湾探索的“校门口孵化”路径，依托高校源头创新资源构建全链条孵化闭环，联动政产学研用各方资源打通技术转化链路，为科创成果转化体系建设提供了可参考的实践样本。

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Quick Summary

This report delivers a quick overview of key takeaways from the inaugural Dazhong Lingang Innovation Acceleration Camp, along with practical, widely applicable insights for the deeptech startup ecosystem.

1. Core event overview: The three-month deeptech incubation program, guided by the Shanghai Science and Technology Commission and other local authorities, concluded with a results showcase that brought together over 30 deeptech ventures, dozens of top-tier investment firms, and professional service providers. Featuring ecosystem visits, keynote sessions, and investor roadshows, the program connects technical development with capital support to help ventures cross the chasm from technical proof of concept to commercially viable business.

2. Universal startup lessons: The report outlines a pyramid model for tech company growth and a framework for evaluating high-caliber founders, while flagging common pitfalls among deeptech ventures—including overprioritizing R&D at the expense of sales, misalignment with industry demand, and unsophisticated management. It also breaks down recurring risks in equity structure design, financing negotiations, and public listing planning. Even for readers without startup plans, these insights help build foundational knowledge of how deeptech businesses operate and the underlying logic of commercial success.

Insights from the event’s industry sessions will help you track commercialization trends in AI-powered deeptech, as well as brand building and growth logic for B2B tech brands, to inform your technology roadmap and brand strategy.

1. Product R&D guidance: A common trap for deeptech brands is excessive fixation on technical sophistication, delayed product launches, and isolated R&D disconnected from real industry needs. When developing tech products, prioritize identifying genuine, urgent customer pain points, screen out false market demand, and balance technical advancement with practical implementation feasibility to avoid building technically impressive products that have no market fit.

2. Brand growth and portfolio strategy: Tech brand growth relies on a pyramid structure spanning foundational cultural values, organizational capabilities, core technology and products, and top-line go-to-market and sales functions—meaning brands cannot afford to deprioritize sales in favor of R&D alone, and should foster a culture of ambition, transparency, and equality. Current capital flows are concentrated in sectors including hardware-software integration, chip-package co-design, embodied intelligence, AI for Science, commercial aerospace, and advanced manufacturing. Brands can pursue early technology partnerships and scenario deployments in these fields, align with the industry’s shifting focus on tangible value delivery, and refine core operating metrics including revenue, gross margin, and customer retention.

The acceleration camp’s agenda and speaker sessions outline key pitfalls to avoid in deeptech entrepreneurship, actionable fundraising guidance, and accessible support resources and growth opportunities for founders.

1. Key risk alerts: Prioritize mitigation of equity-related risks as you build your business, including unclear roles, responsibilities and exit mechanisms for co-founders, insufficient vesting and performance constraints for early equity incentives, and clauses imposing unlimited personal repurchase liability on founders during financing rounds. Serial entrepreneurs in the AI space should also proactively resolve legacy contractual and intellectual property risks from prior projects. In day-to-day operations, avoid overprioritizing R&D at the cost of sales, misalign commercialization timelines with available resources, and carefully screen out false market demand and fake purchase orders.

2. Practical guidance and opportunity notes: Conduct reverse due diligence when selecting investors, prioritizing firms that specialize in your sector and can provide long-term, hands-on support and industry resources. Align your fundraising cadence with your company’s growth stage: prioritize runway survival in early rounds, and seek value-add resources such as brand endorsement once you hold stronger negotiating leverage. The Dazhong Lingang innovation cluster has built a closed-loop incubation system covering physical space, capital, services, and portfolio projects; its Innovation Acceleration Camp provides enrolled ventures with one-on-one fundraising coaching, resource matching, and full-cycle operational support. Deeptech founders can track future program recruitment cycles to access these support resources.

Track updates and industry collaboration trends shared at the event to identify manufacturing and supporting supply chain demand in the deeptech sector, and pinpoint directions for business expansion and operational optimization.

1. Potential business opportunities: Frontier sectors that currently draw heavy capital investment—including embodied intelligence, AI for Science, commercial aerospace, advanced manufacturing, hardware-software integration, and chip-package co-design—will generate large-scale future demand for core component processing, manufacturing process implementation, and supply chain collaboration. Factories can engage early with early-stage deeptech ventures in these sectors to integrate into frontier industry supply chains and unlock new growth streams.

2. Operations and transformation guidance: The deeptech ecosystem prioritizes close alignment with real demand, efficient product commercialization, and irreplaceable application scenarios. When serving tech clients and advancing your own digital and intelligent transformation, avoid technology showboating disconnected from practical needs; prioritize responsiveness to client requirements, pace upgrades to match your own resource capacity, and avoid blind overinvestment in advanced technology ahead of actual demand. Additionally, innovation platforms such as Dazhong Lingang regularly host industry matchmaking events that bring together large numbers of deeptech projects seeking supply chain partners, providing a direct channel for factories to pursue targeted collaboration opportunities.

Draw on the event’s speaker insights and startup feedback to accurately identify widespread pain points among early-stage AI and deeptech ventures, refine your service offerings, and tap into unmet client demand.

1. Core client pain points: Early-stage deeptech ventures commonly face three sets of gaps: first, non-standard equity structure design, weak ability to identify risks in financing term sheets, unclear long-term capital market roadmap, and a lack of professional compliance guidance; second, unclear pathways from technical development to commercialization, including underdeveloped pitch decks, limited fundraising strategy experience, and weak sales capabilities; third, limited access to industry resources and investor networks, and unsophisticated organizational management.

2. Service optimization guidance: Deeptech entrepreneurship has moved past narrative-driven hype into an era of tangible value delivery, meaning ventures no longer seek generic, concept-focused services. Instead, they prioritize practical providers that support full-cycle growth and connect them to real, actionable resources. Service providers can follow the example set by leading investment firms by frontloading support, leveraging their own industry ecosystems to connect clients to strategic customers and supply chain resources, and building a hands-on, long-term accompaniment service model to strengthen core competitiveness.

Learn from the operational practices of the Dazhong Lingang Innovation Acceleration Camp and feedback from participating founders to understand the core logic of building deeptech incubation platforms, refine your own service system, and clarify operational priorities.

1. Core demands of deeptech ventures for platforms: Early-stage deeptech companies require more than basic physical office space; they seek end-to-end startup enablement covering practical entrepreneurship training, access to capital networks, connections to industry customers and supply chain resources, professional compliance guidance, and a peer community of founders in adjacent sectors.

2. Transferable platform operation lessons: Leveraging original innovation resources from adjacent universities, Dazhong Lingang has developed a distinctive “incubation at the campus gate” model, building a closed-loop incubation ecosystem integrating space, capital, services, and portfolio projects. Its Innovation Acceleration Camp runs a three-month phased support program with modules covering trend analysis, benchmark company visits, investor roadshows, and one-on-one coaching from investors to directly address ventures’ practical challenges. To build competitive deeptech companies, platform operators must prepare for long-term service delivery, continuously deepen collaboration with universities, local governments, and industry partners, and build a service ecosystem covering the full enterprise lifecycle.

The event’s content and operational practices highlight emerging industry trends in the AI and deeptech space, widespread sector-wide challenges, and new models for sci-tech innovation incubation, providing fresh empirical samples for related research.

1. Emerging industry development trends: Investment in AI-powered deeptech has shifted away from narrative-driven hype to a value realization phase, in which revenue, gross margin, and customer retention have become core metrics for project evaluation. Investment hotspots are shifting toward frontier sectors including hardware-software integration, chip-package co-design, embodied intelligence, AI for Science, commercial aerospace, and advanced manufacturing. Industry perceptions of competitive moats are also evolving: static technical barriers have limited durability, and founding teams capable of continuous iteration and evolution represent companies’ sustainable core competitive advantage.

2. Common industry pain points and new incubation models: Early-stage deeptech ventures commonly face challenges including overprioritization of R&D at the expense of sales, misalignment with industry demand, unsophisticated management, non-standard equity structures, and weak awareness of financing risks; many ventures fail not from market competition, but from internal governance flaws. Dazhong Lingang’s exploratory “incubation at the campus gate” model, which leverages university-based original innovation resources to build a full-chain incubation closed loop and coordinates government, industry, academia, research, and end-user resources to streamline technology commercialization pathways, offers a replicable practical reference for building more effective sci-tech achievement transformation systems.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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9月10日-11日，以“源创未来・智汇硬核”为主题的首期“大零号湾・源创加速营”结业DEMO活动在上海大零号湾科创成果转化中心落下帷幕。本次活动由上海市科委、闵行区人民政府、上海交通大学、华东师范大学共同指导，闵行区科委、上海大零号湾投资发展（集团）有限公司、上海闵行金融投资发展有限公司、创业邦联合主办，既是为期三个月加速培育的成果验收，也是AI+硬科技领域资本、产业、技术深度对接的行业盛会。

活动汇聚青松基金、长石资本、元禾璞华、江远投资、小苗朗程、闵金投、普华永道、世辉律师事务所等机构的一线投资人与资深专家，与加速营30余家硬科技企业一道，围绕企业增长内核、投资趋势研判、股权架构设计、资本市场路径规划等核心议题展开深度分享与碰撞。两天的议程涵盖生态参访、主题分享、圆桌对话、垂直赛道对接、优秀项目路演、结业仪式六大板块，打通从技术成长到资本赋能的全链路，助力硬科技企业完成从“技术成立”到“商业成立”的关键跨越。活动中，入营企业还实地参访了大零号湾科创成果转化载体，直观感受区域政产学研用协同创新生态与全链条创新服务体系。

01 重磅主题分享：拆解硬科技成长的底层逻辑

本次活动设置三场深度主题分享，为创业者带来从底层合规到长期增长的系统性认知升级。

青松基金创始合伙人董占斌带来《从投资的角度看科技企业的增长内核》主题分享。基于25年投资与企业管理经验，董占斌提出科技企业增长的“金字塔模型”：从底层的文化与价值观，到CXO与组织能力，再到产品与技术，最顶层是销售与市场。他直指多数硬科技企业的通病，包括对销售重视不足、对技术过度迷恋而延迟产品落地、闭门造车脱离产业需求、管理粗放缺乏激励、商业化进程与资源不匹配等。

在董占斌看来，创始人是企业增长的原动力。他结合“四位一体识人模型”，从心力、德行、格局、能力四个维度拆解了优秀创始人的特质，并提出“外在看三力（沟通能力、学习能力、执行能力）、内在看六心（心思、心力、心魄、善心、初心、野心）”的判断框架。他强调，创始人的战略智慧与文化塑造能力，是带领企业穿越不确定性的核心——优秀的科技企业往往具备分享、平等、透明的价值观，推崇强势的进取文化，摒弃“等、靠、要”的弱势心态。

青松基金创始合伙人董占斌

世辉律师事务所资深合伙人朱赞围绕《AI+硬科技企业的股权融资及股权设计》展开实务解读。依托近千个投融资项目实操经验，朱赞指出硬科技创业企业常见股权风险：联合创始人权责不清缺少退出机制、早期股权激励缺少约束、融资协议约定创始人承担无限回购责任。她强调，不少企业并非败于市场竞争，而是栽在内部分配上，科学的股权架构是企业行稳致远的基础。

在公司控制权层面，她介绍了提高持股比例、有限合伙架构、一致行动协议、章程特殊约定、AB股等保障方式，提醒股权不等同于控制权，相关机制要创业早期就落地。对于股权激励，朱赞对比期权、限制性股权、虚拟股等工具，建议企业采用组合式激励，少量多次授予并设置解锁条件。谈及早期融资，她建议创始人可以稀释股权，但务必守住控制权、限定个人责任边界，同时提示AI赛道连续创业者，要清理过往项目协议、知识产权隐患，规避历史遗留风险。

世辉律师事务所资深合伙人朱赞

普华永道审计部合伙人陈诚带来《以终为始的企业资本市场路径规划》主题分享。陈诚结合多年IPO审计实操经验，从股权激励、融资条款、架构搭建、财务合规、资本市场选择五个维度，系统拆解了企业从初创到上市全周期的合规要点。他指出，股权激励是初创企业以较低现金流成本绑定核心团队的有效工具，但需关注期权与有限合伙持股平台在纳税时点、个税税率上的显著差异，提前约定员工股权退出机制。融资协议签署环节，他提醒创始团队重点关注回购权、反稀释、优先清算等核心条款，警惕实控人个人对赌将有限责任转化为无限连带责任的风险。

普华永道中天审计合伙人陈诚

02 深度圆桌对话：把脉AI+硬科技投资新趋势

本次活动的重磅圆桌对话以“AI+硬科技的投资新格局与资本市场路径”为主题，由上海零号湾创业投资有限公司总经理、大零号湾科创策源孵化器总教练张志刚担任嘉宾主持，闵金投副总经理刘佳、长石资本创始合伙人汪恭彬、元禾璞华高级合伙人殷伯涛、江远投资合伙人周晖共同参与，围绕行业投资逻辑、技术壁垒甄别、企业融资选择等核心议题展开深度思想碰撞。

上海零号湾创业投资有限公司总经理、大零号湾科创策源孵化器总教练张志刚

在周晖看来，当下硬科技投资已经告别概念叙事，全面进入价值兑现周期，收入、毛利率、续费率成为评估AI项目的核心标尺。初创企业不必在成立之初就追求构筑完备壁垒，找准赛道方向，保持团队找人、找钱、找方向的快速应变能力更为关键。对于创业者挑选投资机构，他建议做好反向尽调，优先选择行业聚焦、愿意投入深度时间陪伴项目成长的投资方。

江远投资合伙人周晖

汪恭彬则将资本化路径、技术壁垒带来的毛利率水平、团队商业化能力作为项目评判的三大核心。他认为，壁垒验证需因企业发展阶段而异：对具备一定规模的企业，侧重需求侧验证，考察其是否切中客户真实、刚性的需求，能否比海外同行做得更好；对早期企业，则侧重供给侧验证，产品尚未落地时，重点考察团队的paper质量、行业洞察与产业建树。在长石资本自身的实践中，汪恭彬强调将70%的时间投入“投前服务”，依托“长石百人会”产业生态，帮助被投企业对接产业龙头、战略客户与供应链资源，持续输出产业协同价值。

长石资本创始合伙人汪恭彬

殷伯涛更加看好软硬件融合、芯模联动创新以及未来科技等前沿方向。在他的判断里，技术壁垒具备较强时效性，真正长久的竞争壁垒源于能够持续迭代进化的创始人。企业融资选择切忌盲目，要匹配自身所处发展阶段，理想的投资人应当扮演好“副驾驶”角色，为项目输出产业资源，提供不同发展阶段上的助力。

元禾璞华高级合伙人殷伯涛

刘佳聚焦AI时代行业快速迭代的特征，强调赛道空间、产品实现效率、场景的不可替代性的重要意义，提醒创业者要仔细甄别市场中的伪需求与伪订单。作为国资平台，机构更多以跟投身份参与早期项目，她也建议初创企业优先保障生存，待具备议价能力之后，再去争取订单、品牌背书等增值资源。

闵金投副总经理刘佳

03 资本直面对接：路演+分组辅导，精准匹配产业资源

结业日当天，活动同步设置垂直赛道对接与优秀项目路演环节，搭建资本与项目高效对接的桥梁。

在垂直赛道对接环节，长石资本创始合伙人汪恭彬、元禾璞华高级合伙人殷伯涛、江远投资合伙人周晖、小苗朗程投资总监邹治海四位一线投资人，以分组面对面的形式，为入营企业提供一对一辅导，围绕BP打磨、技术亮点呈现、融资策略制定、发展优先级规划等实际问题展开深度沟通。从核心技术的商业化逻辑，到未来1-2年的发展路径调整，针对性的实操建议帮助创业者避开融资与发展中的隐性弯路。

随后的结业DEMO项目路演环节，来自安影科技、云锦微、拾光向暖、贯一科技、知食主义的企业代表依次登场，项目覆盖具身智能、AI for Science、商业航天、高端制造等前沿赛道，集中展现了首期加速营企业的技术硬实力与成长潜力。

04 全新启航：三个月陪跑，源头创新落地开花

从2026年6月到9月，首期“大零号湾・源创加速营”30余家硬科技企业，正式迎来结业仪式。

安影科技创始人周浩然、超越智研创始人李正、埂盛新材创始人李闯作为优秀学员代表上台发言，分享了三个月加速营的成长心得与创业感悟。他们表示，加速营不仅带来了认知升级与资源对接，更让分散在各垂直赛道的硬科技创业者找到了同路人。

上海大零号湾投资发展（集团）有限公司党委副书记、总经理徐亚云发表寄语，并与闵金投副总经理刘佳一起为全体入营企业颁发结业证书。这张证书既是三个月学习成长的见证，也是硬科技创业者奔赴产业赛场的全新起点。

上海大零号湾投资发展（集团）有限公司党委副书记、总经理徐亚云

大零号湾科创策源孵化器总教练张志刚为本次加速营作总结。他表示，首期源创加速营历经三个月，分为趋势洞察、独角兽企业实地参访、结业路演融资对接三个阶段，陪伴30家筛选而出的入营企业打磨发展与融资逻辑。依托大零号湾科创策源孵化器的平台优势，联动高校、产业与资本资源，为硬科技项目提供全链条赋能。结业并非服务终点，而是长期同行的起点，期待这片创新沃土孕育出具备全球竞争力的中国硬科技企业。

作为共建上海（长三角）国际科技创新中心的重要承载区，大零号湾依托周边上海交大、华东师大两所双一流高校的源头创新资源，走出了“校门口孵化”的特色路径，已形成“空间+资本+服务+项目”的完整孵化闭环。本次首期“大零号湾・源创加速营”的圆满结业，既是大零号湾完善硬科技全链条孵化体系的重要成果，也是激发早期科创活力的强劲引擎。未来，大零号湾将持续深化校地协同创新，汇聚更多产业链与资本资源，打造覆盖硬科技企业全生命周期的产业生态，为共建上海（长三角）国际科技创新中心，持续注入原始创新动能。

注：文/龚作仁，文章来源：Laborer，本文为作者独立观点，不代表亿邦动力立场。

文章来源：Laborer