上海腰动网络科技有限公司 · 上海

把技术做成生意,而不只是把代码写完。

我的专业背景是管理学(技术方向),不是科班工程师出身——但这不代表我只懂"提需求"。旗下产品从架构设计到落地上线,都是我自己深度参与、真刀真枪推进出来的,懂技术、懂研发流程、也有完整的实战经验,不是纸上谈兵的产品经理。

我更擅长的是站在业务和工程之间做判断:技术路径不绑死在一种架构上——云端能满足就上云端,业务规模、成本或合规需要自建时,也能随时切到物理机房自建部署,怎么划算怎么来;把真正稀缺的精力留给"这个行业到底需要什么"这件事。视觉和交互则交给专业设计团队深度合作打磨,保证产品有专业水准的 UI,而不是"工程师审美"。

我旗下有多条垂直行业 SaaS 产品线,背后共享同一套底层能力(身份体系、支付、AI、内容安全等),按行业特点做成不同形态的产品,覆盖零售服务、B2B 制造、餐饮三个方向。

① 摄影婚庆门店数字化经营系统

面向摄影 / 婚纱 / 婚礼策划 / 花艺策划行业的门店。过去这些门店要同时用好几样东西才能把生意跑顺:一个展示用的官网、一张记客户的表格、一个排档期的微信群、一本记账本、一个收银台。我们把这些全部收进一个小程序——客户端是精美的作品橱窗和在线预约,商户端是一整套从获客、接单、排期、拍摄、选片到收款、团队管理的经营后台,并集成 AI 能力辅助日常经营决策。多门店、多品牌互不干扰,每家店都是独立、安全的经营空间。已上线微信小程序生态,下一步计划拓展到应用商店(iOS / Android 原生 App)。

② 定制包装 / 礼盒工厂经营系统

面向定制包装厂、礼盒厂这类 B2B 制造型商户,核心是"让工厂把自己的产品能力展示出来、把询价的客户接住、把团队跟单流程管起来"——涵盖产品展示与获客、图像处理、客资管理、团队协作,以及一套随时可开启的交易能力。

③ 餐饮数字化会员经营系统(新产品线,建设中)

面向餐饮商户的会员与营销经营系统:电子会员卡与储值、优惠券营销、扫码点单、进销存管理。与前两条产品线不同,这条线让每个商户拥有自己独立的小程序主体(而不是共用一个平台账号),后端架构支持云端部署也支持自建机房,前端可以适配多种载体、方便未来向 App 演进。定位是"帮餐饮商户做数字化会员经营的核心系统",不做收银台这类已经充分竞争的基础设施。

(出于对核心架构的保护,具体功能模块与技术实现细节不在此公开展示,有需要可私下详聊或演示产品。)

《AI 商业落地的真相:从"本地玩具"到"真实赚钱产品"》——制作中。

市面上很多 AI 项目停在"本地能跑起来的玩具"这一步,离"真正能对外提供服务、赚到钱的产品"中间隔着一堵墙。这门课不是又一套效率工具教程,而是想把这堵墙拆开讲清楚——我自己旗下几套 SaaS 里的 AI 能力(智能诊断报告、动态计费、对话式执行助手……),都是真实在线上跑、真实产生营收的,不是本地跑通一个 demo 就收工。这门课讲的正是这段"从玩到能赚钱"踩出来的真实路径,而不是概念演示或二手转述。

为什么是我来讲:市面上不缺"AI 博主"讲 PPT,缺的是把 AI 真正嵌进一套多租户 SaaS 的核心业务流程、扛过真实用户和真实收付款考验的人。这门课的内容锚点不是理论,是踩出来的坑和跑通的产品。

课程分三个模块:

• AI 通识课——快速搭建 AI 认知框架,不追热点、不贩卖焦虑,让你对市面上纷杂的 AI 信息有基本的辨别能力,知道哪些是真能力、哪些是营销话术
• 流程 / 工作流课——覆盖不同行业的真实工作流,讲清楚 AI 该嵌在业务流程的哪个环节、怎么落地,而不是泛泛而谈的"AI 提效"
• 实战课——真刀真枪的落地案例与操作练习,照着做能出一个能跑的东西,而不是听完只有"知道了"

适合谁:想用 AI 做点什么但不知道从哪下手的个人 / 小团队;有技术执行力但缺商业化判断的开发者;非技术背景、但想理解 AI 到底能给自己业务带来什么价值的老板和创始人。

_{课程制作中,想第一时间获取上线消息可以加微信 Javon1123 或发邮件到 Javon011123@gmail.com。}

除了自有产品,这套底层能力本身是模块化的 HTTP API 后端——前端和后端解耦,同一套后端可以被不同的前端"壳"复用(小程序、H5、App 共调同一套接口)。这意味着除了完整产品,我也可以按需提供:

• API / 后端能力对接:把已经跑通的会员、营销、订单、AI 计费等能力,以 API 的形式开放给需要的团队或项目,不用从零造轮子
• 定制化技术咨询:针对垂直行业 SaaS 的多租户架构、权限体系、支付安全等问题提供落地经验,不是纸面方案
• UI/UX 设计资源:合作的专业设计团队可以为技术型创始人 / 早期团队提供针对性的产品视觉设计

产品背后的架构、多租户数据隔离、支付安全、AI 能力集成等工程工作,都是我自己主导完成并持续迭代的——这也是为什么我说自己"懂技术、有实战经验",而不只是一个提需求的角色。具体架构设计和实现细节属于产品核心竞争力的一部分,不在公开渠道展开。

其中包含以下自研算法(只说用途,不展开原理与实现):

• 一套人像美学量化分析算法——把面部特征转化为结构化的诊断建议,用于门店给客户做专业、可视化的美学咨询
• 一套跨门店、跨渠道的动态定价引擎——多种优惠叠加、多店铺并发下单的场景下,把价格精算到"分"这个最小单位、绝不允许一分钱误差,同时堵死"篡改价格白嫖"这类真实存在过的攻击路径;支付相关的精度和安全问题,踩过坑才知道有多不能将就

小程序原生开发 · Node.js · 灵活部署(云端 / 自建机房均可) · NoSQL 文档数据库 · 在线支付 · 大模型 / AI 能力集成

产品设计和 UI 不是代码写完之后临时补上的一层皮——每一个界面都由专业、资深的设计团队深度合作完成,针对目标行业的审美和使用场景做针对性设计,而不是套用通用模板。从信息架构、交互动效到视觉规范,设计和工程是并行推进的,不是"工程师先写完、设计师最后描个皮"。

欢迎联系我聊聊以下几类合作:

• 垂直行业想做数字化经营系统,但不想从零招团队、从零踩坑
• 已经在做小程序 / SaaS 产品,需要成熟的会员、营销、AI 计费等能力做 API 对接
• 早期技术型团队缺一个既懂业务又能落地的产品合伙人视角

• 微信:Javon1123

• 邮箱:Javon011123@gmail.com

• 小程序:微信搜索「YaoDo」,或点击体验官方模板:#小程序://YaoDo/jVt8oCqR7oBIacC

  _{产品体验展示:请联系微信或邮件}

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上海腰动网络科技有限公司 · 上海

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Shanghai YaoDong Network Technology Co., Ltd. · Shanghai, China

I build technology into a business, not just code that ships.

My background is in Management (Technology track), not a traditional CS degree — but that doesn't mean I only "write requirements." Every product under my company, from architecture design to production launch, has had me deeply hands-on, building it for real. I understand the technology, the engineering process, and I have full hands-on shipping experience — I'm not a product manager who only talks on paper.

What I'm actually good at is making calls at the intersection of business and engineering: the technical path isn't locked into one architecture — cloud-hosted when that's enough, self-hosted on physical infrastructure when scale, cost, or compliance demands it, whichever makes sense economically. I spend my genuinely scarce time and attention on the one question that matters most: "what does this industry actually need?" Visual design and interaction are handled in deep partnership with a professional design team, so the product has a professional-grade UI instead of "engineer aesthetics."

I run multiple vertical-industry SaaS product lines, all sharing the same underlying capabilities (identity system, payments, AI, content moderation, etc.), shaped into different product forms per industry — spanning retail services, B2B manufacturing, and food & beverage.

① Digital Business Management System for Photography & Wedding Studios

Built for photography / bridal / wedding-planning / floral-design studios. These studios used to need several separate tools just to run the business: a showcase website, a spreadsheet for client records, a WeChat group for scheduling, a ledger for bookkeeping, a checkout counter. We bring all of that into a single Mini Program — the customer-facing side is a polished portfolio showcase and online booking; the merchant-facing side is a complete operations backend covering lead generation, order intake, scheduling, shoots, photo selection, payment collection, and team management, with AI capabilities built in to support day-to-day business decisions. Multiple stores and multiple brands run fully isolated from one another — every store is its own independent, secure operating space. Already live in the WeChat Mini Program ecosystem; the next step is expanding to native iOS / Android apps.

② Business Management System for Custom Packaging / Gift-Box Factories

Built for B2B manufacturing merchants such as custom packaging and gift-box factories. The core idea is "let the factory showcase its production capability, capture inquiring customers, and manage the team's order-fulfillment workflow" — covering product showcase and lead generation, image processing, customer relationship management, team collaboration, and a transaction capability that can be switched on at any time.

③ Digital Membership System for Restaurants (new product line, in development)

A membership and marketing operations system for restaurant merchants: digital membership cards with stored value, coupon-based marketing, QR-code ordering, and inventory management. Unlike the two product lines above, this one gives each merchant their own independent Mini Program entity (rather than sharing one platform account); the backend architecture supports both cloud hosting and self-hosted deployment, and the frontend is designed to adapt across multiple front-end "shells" to make a future move to native apps easier. The positioning here is "the core system that powers a restaurant's digital membership operations" — not a checkout/POS system, which is already a crowded, commoditized space.

(To protect the core architecture, specific feature modules and implementation details are not shown publicly here — happy to walk through details or demo the product privately.)

"The Truth About Turning AI Into a Business: From 'Local Toy' to a Real, Revenue-Generating Product" — currently in production.

A lot of AI projects out there stop at "it runs as a toy on my machine" — there's a wall between that and "a product that actually serves external users and makes money." This course isn't another productivity-tool tutorial; it's meant to take that wall apart and explain it properly. The AI capabilities running inside my own SaaS products — intelligent diagnostic reports, dynamic billing, conversational execution assistants — are all running live in production and genuinely generating revenue, not just a demo that ran once locally. This course is about that real path from "playing with AI" to "AI that makes money," not a conceptual walkthrough or secondhand retelling.

Why me: the market isn't short on "AI influencers" presenting slide decks. What's actually scarce is someone who has embedded AI into the core business flows of a real multi-tenant SaaS product and had it survive real users and real payments. The content here is anchored in pitfalls actually hit and products actually shipped, not theory.

The course has three modules:

• AI Literacy — quickly build a working mental framework for AI, without chasing hype or selling anxiety, so you can tell real capability from marketing talk in the noisy AI information landscape
• Process / Workflow — real workflows across different industries, explaining exactly where in a business process AI should be embedded and how to actually implement it, rather than vague "AI productivity" talk
• Hands-on Practice — real, concrete case studies and exercises you can follow to produce something that actually runs, not just "now I know about it"

Who it's for: individuals / small teams who want to do something with AI but don't know where to start; developers with technical execution skills but lacking commercialization judgment; non-technical founders and owners who want to understand what value AI can actually bring to their business.

_{The course is in production — to get notified when it launches, add WeChat Javon1123 or email Javon011123@gmail.com.}

Beyond my own products, this underlying capability set is itself a modular HTTP API backend — frontend and backend are decoupled, so the same backend can be reused by different frontend "shells" (Mini Program, H5, native app all calling the same API). That means, beyond a full product, I can also provide on demand:

• API / backend integration: expose proven capabilities — membership, marketing, orders, AI billing — as APIs to teams or projects that need them, so they don't have to build from scratch
• Custom technical consulting: hands-on, shipped experience with multi-tenant architecture, permission systems, and payment security for vertical SaaS — not paper proposals
• UI/UX design resources: the professional design team I work with can provide targeted product visual design for technical founders / early-stage teams

The architecture behind the products, multi-tenant data isolation, payment security, and AI integration — all of this engineering work is led and continuously iterated by me personally. That's why I say I "understand the technology and have real hands-on experience," rather than just being someone who writes requirements. Specific architecture design and implementation details are part of the product's core competitive advantage and aren't shared publicly.

Proprietary algorithms include (purpose only, no implementation detail):

• A facial-aesthetics quantitative analysis algorithm — turns facial features into structured diagnostic recommendations, used by studios to give clients professional, visualized aesthetic consultations
• A cross-store, cross-channel dynamic pricing engine — under scenarios with multiple stacked discounts and concurrent orders across stores, computes price down to the smallest currency unit with zero tolerance for rounding error, while closing off real attack paths like "tampering with price to get something for free." Payment-related precision and security are things you only learn how unforgiving they are after actually getting burned by them.

Native Mini Program development · Node.js · Flexible deployment (cloud-hosted or self-hosted) · NoSQL document database · Online payments · LLM / AI integration

Product design and UI aren't a skin slapped on after the code is done — every screen is built in deep collaboration with a professional, experienced design team, tailored to the target industry's aesthetics and usage context, not a generic template. Information architecture, interaction motion, and visual standards are all driven in parallel with engineering, not "engineer builds it first, designer paints over it at the end."

Feel free to reach out to talk about:

• Vertical industries that want a digital operations system but don't want to build a team and hit every pitfall from zero
• Existing Mini Program / SaaS products that need mature membership, marketing, or AI-billing capability via API integration
• Early-stage technical teams missing a product partner perspective who understands both the business and how to actually ship

• WeChat: Javon1123

• Email: Javon011123@gmail.com

• Mini Program: search "YaoDo" in WeChat, or open the official demo store: #小程序://YaoDo/jVt8oCqR7oBIacC

  _{For a live product walkthrough, reach out via WeChat or email.}

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Shanghai YaoDong Network Technology Co., Ltd. · Shanghai

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