⛏️创客淘金
AI SaaS垂直工具矩阵B2B+B2C订阅落地可行性

全职数据科学家打造月入7000美元的AI侧项目组合

This full-time data scientist built a $7k/mo portfolio of side projects

Questgen等3款AI工具 · AI SaaS垂直工具矩阵 · 4年迭代 · $7k MRR

收入规模
$6k–$7k / 月
团队规模
1人独立开发者
启动速度
4年迭代3款产品
复刻难度
★★★★☆
访谈亮点
  • 全职数据科学家业余运营3款AI工具,月入稳定7k美元MRR
  • 🎯开源项目引流+SEO长期积累,零成本获取复利式精准流量
  • 🚀靠垂直场景定制化工作流,建立大厂通用AI无法复刻的壁垒
  • 💡多产品分散风险,用可复用验证系统快速试错降低创业成本

全职数据科学家利用业余时间打造3款AI工具矩阵,靠开源+SEO获客,避开大厂同质化竞争,月入近7k美元,适合有AI开发能力的兼职开发者参考。

Questgen.ai、Supermeme.ai、AiArtist.io AI工具矩阵

全职工作之余搭建三款应用

Building three apps while working full-time

我是来自印度的微SaaS创业者拉姆斯里,在全职担任数1人兼职开发据科学家的同时运营三款应用:Questgen.ai是一款AI测验生成工具,可以通过文本、PDF或URL生成选择题、判断对错、填空题等各类测验,上线4年累计收入超15万美元,注册用户超15万。Supermeme.ai是一款AI表情包生成工具,可以输入任意文本生成适合社交媒体发布的多格复杂表情包,注册用户超200万,上线当日登顶Product Hunt日榜第一。AiArtist.io是一款AI动态图形生成工具,可以通过文本生成视频,近期刚上线,已有20多名付费用户。2025年三款产品总ARR峰值达到10万美元,当前稳定在6000-7000美元MRR区间,累计注册用户超250万。

I am Ramsri, a microSaaS builder from India, currently building three apps alongside my full-time job as a data scientist: Questgen.ai is an AI quiz generator that takes text, PDFs, or URLs and generates quizzes such as MCQs, True/False, and Fill-in-the-blanks. Since its launch 4 years ago, it has generated over $150K USD in revenue and has over 150K registered users. Supermeme.ai is an AI meme generator. It takes any text and generates complex, multi-panel memes ready for social media posting. It has over 2 million registered users and achieved Product Hunt #1 of the day upon its launch. AiArtist.io is an AI motion graphics generator that creates videos from any text. Recently launched, it has over 20 paying users. At their peak in 2025, the apps hit $100k in total ARR. Currently, they hover between $6k and $7k MRR, with more than 2.5 million registered users.

?

Who is it for?

  • 有AI开发能力的兼职开发者
  • 懂SEO内容运营的独立开发者
  • 擅长小步快跑验证需求的创业者

Not for

  • 期望快速暴富的投机者
  • 无AI技术积累的纯营销人员
  • 无法平衡主业副业时间的人

押注AI教育赛道获得回报

A bet that paid off

2021年2021年切入AI教育我探索AI和教育的交叉赛道,发现测验生成是一个非常有潜力的方向,预判未来几年相关技术会快速成熟,这个预判最终得到了验证:2023年之后文本转测验赛道迎来爆发。我和多名教育从业者交流,了解到他们过去都将测验生成工作外包给题库公司,还要经过多轮审核,因此发现了市场机会:帮助企业用内部人力自主管理测验,无需外包,Questgen由此诞生。我最初用Bubble这类无代码工具搭建可用版本,但无代码工具屏蔽了底层代码,功能存在限制,于是我学习了全栈框架NextJS,搭建了完整的商用应用。当前技术栈是NextJS+Supabase,分别负责后端和身份认证,现在我还会用Claude Code辅助快速开发新增功能。

In 2021, I explored ideas at the intersection of AI and education. As AI emerged, I saw quiz generation as an ideal challenge, believing technology would significantly improve its quality in the coming years. That bet paid off; after 2023, text-to-quiz generation gained momentum. I spoke with several educators to understand their quiz generation pain points, and learned that they outsourced quiz generation to item bank companies. I also found out that they conducted several stages of review. From these conversations, I saw an opportunity that would help companies manage quizzes with their internal workforce instead of outsourcing. That led to Questgen. I first used no-code tools like Bubble to create a working version. But the functionality had limitations because those tools abstracted code, so I learned a full-stack platform (NextJS) and built a full-scale app. The stack is currently NextJS + Supabase for the backend and authentication. And nowadays, I use tools like Claude Code to vibe code and add features.

⚙️

技术栈复用

统一技术栈大幅降低多项目运维成本,搭配AI编码工具可显著提升迭代效率,适合独立开发者批量搭建小项目

转型订阅制模式

Converting to a subscription model

产品最初采用按次付费模式,很快就切换为订阅制:入门级订阅计划定价10-15美元每月,高阶高用量计划定价50美元每月,年付方案比月付便宜40%。扣除大模型调用成本后,产品毛利率达到60-70%。

Initially, we launched as pay-per-use, but we soon converted to a subscription-based model. Plans start at $10-$15 for the starter plan and go up to $50 for higher usage. The annual plan is 40% cheaper than the monthly plan. We have 60-70% margins after covering LLM costs.

💰

定价策略

分级订阅+年付折扣的组合,既覆盖不同量级用户需求,又能提升长期留存,抵消大模型调用的可变成本

开源+SEO组合获客

Open source and SEO

我最初把Que开源引流+SEO转化stgen开源到GitHub仓库,任何人都可以下载模型,在本地或者企业内部自行部署测验生成功能。开源是非常好的推广启动方式,用户更愿意分享开源项目,产品很快通过口碑获得了大量曝光,GitHub也为项目带来了大量流量,我还撰写了大量关于试题生成主题的博客文章,启动了SEO流量积累。当Questgen获得稳定月流量之后,我在GitHub仓库的README主页添加了网页版应用的链接,那些不想自行部署的用户就转化成了付费客户。自产品上线以来,我一直把SEO作为核心获客渠道,包括搭建多落地页、关键词定向,甚至为每一个表情包生成程序化SEO页面。我也非常喜欢公开分享自己的开发过程,从想法萌芽阶段就开始在X和LinkedIn上分享进度,几乎每天都更新,同时坚持多次发布迭代产品。

I initially open-sourced Questgen as a GitHub repo. Anyone could download the models and self-host quiz generation locally or within their organizations. Open source was a great way to promote and launch. People are more likely to share open-source projects, so it quickly gained traction from word of mouth. Beyond that, GitHub drove traffic, and I wrote a lot of blog posts on the general topic of question generation. That kickstarted SEO. After Questgen gained considerable monthly traffic, I added its web app URL to the GitHub repo's main page (README). This allowed people who didn't want to self-host to become customers. Since launch, our focus has been on SEO for both products. That includes alternate landing pages, keyword targeting, and programmatic SEO pages for individual memes. I also love building in public. From the start of an idea, I always share my progress online, primarily on X and LinkedIn. I post almost every day. It's also important to launch and relaunch!

📈

增长组合拳

开源作为漏斗顶部获取高意向技术用户,SEO沉淀长期流量,公开分享积累私域粉丝,三者叠加形成稳定获客体系

病毒式Product Hunt上线

A viral PH launch

Supermeme上踩中趋势登顶PH第一线Product Hunt时登顶当日第一,我们的经验是:我们本身没有大量粉丝,也没有Product Hunt上线经验,于是在X上联系了大量Product Hunt猎人,最终找到了对我们产品感兴趣的猎人为我们发布产品。我们精准踩中了技术趋势:当时文本生成AI赛道已经饱和,AI开始进入图像生成领域,一键文本生成AI表情包的产品完美契合技术趋势和用户需求,这是成功的核心。上线当天我们在所有社交媒体渠道同步发布推广内容,之前公开分享积累的粉丝也都来支持我们,创始人前期的营销积累发挥了很大作用。我们提前准备好所有上线素材,确保落地页截图精准传递产品「一键生成AI表情包」的核心卖点。

For Supermeme, we launched on Product Hunt. It went viral and ranked #1 for the day. Here's how: Since none of us had a huge audience and we hadn't done a PH launch before, we reached out to Hunters on X until we found one who was interested in our product. They then launched our product. We aligned with trends. Text-to-text AI was saturating, and AI was entering the image generation space. We believed one-click text-to-AI memes were perfect, aligning with technological trends and audience demand. This proved crucial. We posted on all our social media channels on launch day to maximize visibility. People who had followed us while we built in public supported us, so our earlier founder-led marketing proved helpful here! We prepared all launch materials in advance and ensured our landing page screenshots precisely conveyed our messaging about easy AI meme generation.

🚀

PH上线技巧

无需自带大流量,提前对接匹配的猎人、踩中技术趋势、同步全渠道预热、提前备好素材,小团队也能冲榜成功

和大厂差异化竞争

Competing with big dogs

最大的挑战是ChatGPT、Anthropic等大厂推出原生AI集成功能之后,产品流量和订阅增长一度停滞。但大厂的原生功能缺乏定制化的输入输出格式:比如用户需要导出适配各类学习管理系统的多格式测验,这类需求非常小众,通用AI产品很难快速复刻,这就成了我们的核心差异化壁垒。小众定制化输出做壁垒

The biggest challenge was sustaining growth when ChatGPT, Anthropic, etc. rolled out native integrations. The traffic and subsequent subscriptions flattened out. But native integrations lack input and output formats. For example, users need to output quizzes in several formats for learning management systems. These formats are not readily available online, so native apps cannot easily replicate them. So these have been my differentiator.

🧠

竞争心法

不要试图和大厂比拼大模型生成能力,深耕垂直场景专属工作流、定制化导出、适配现有系统的细节,才是小团队的长期壁垒

持续发布、迭代、重复验证

Launch, iterate, repeat

我的建议是持续尝试最新的模型和工具,发现新的创意和待解决的问题。先发布轻量Demo,在X、YouTube等社轻量Demo快速验证交媒体发布短内容,快速验证用户对产品的反馈,对反馈好的赛道集中资源投入深耕,这就是我现在正在做的事。你可以在X和LinkedIn上关注我的动态,也可以访问Questgen.ai、Supermeme.ai、AiArtist.io体验我的产品。

My advice is to continuously experiment with upcoming models and tools to discover ideas and challenges. Also, launch lightweight demos and create mini-content on social media platforms like X or YouTube to gauge an idea's vibe and reception. Then, double down on ideas that work well. That's exactly what I'm doing. You can follow along on X and LinkedIn. Or check out Questgen.ai, Supermeme.ai, and AiArtist.io.

📅

创业里程碑

2021年 · 瞄准AI+教育赛道,启动Questgen开发

2022年 · Questgen开源发布,启动SEO流量积累

2023年 · 完成按次付费到订阅制转型

2024年 · Supermeme上线登顶Product Hunt第一

2025年 · 总ARR峰值达10万美元,用户破250万

2026年 · 推出AiArtist.io,稳定6-7k MRR

用户评论与创作者回复

已过滤 spam、低价值附和与重复内容 · 原始 42 条 · 展示 12 条 · 创作者回复 2

12
网友 M. Sumama
👍 1
深度总结

What stands out to me here isn’t just the ~$7k MRR — it’s the portfolio strategy behind it. The combination of shipping multiple small products, validating demand, using open source as a distribution channel, and then compounding that traffic through SEO is a much more interesting lesson than “build an AI SaaS.”

我最关注的不是7k月收入本身,而是背后的多产品组合策略:快速上线多个小产品、验证需求、用开源做分销、靠SEO复利流量,这比单纯做AI SaaS的价值大得多。

笔记:点出了多产品矩阵模式的核心价值,避开单产品押注的风险

网友 LahcenDigital
👍 2
获客感悟

Getting the first few customers seems less about having a perfect product and more about finding the right people who actually have the problem.

获取首批客户的核心从来不是做出完美产品,而是找到真正被痛点困扰的精准用户。

笔记:精准戳中很多独立开发者追求完美产品反而找不到用户的误区

网友 jassommiller22
👍 1
点出本质

Great example of focusing on the problem, not just the AI. The open-source + SEO approach is especially smart, and the LMS-specific output formats show how a niche workflow can stay valuable even when big AI platforms add similar features.

这是一个聚焦真实需求而非炫技AI的绝佳案例,开源加SEO的获客思路非常聪明,适配学习系统的专属输出格式证明了垂直工作流哪怕大厂做同类功能也很难被替代。

笔记:总结了案例最核心的两个可复用经验:获客组合+差异化壁垒

网友 besteiptvaanbieder
👍 1
运维追问

Curious how you manage the infrastructure load across an entire portfolio without it bleeding into your 9-to-5? Did you standardize your tech stack so every project uses the exact same deployment template, or do you rely on aggressive time-blocking to keep the side projects from overwhelming your schedule?

很好奇你怎么管理多产品的运维负载,不让它占用主业时间?是标准化了所有项目的部署模板,还是靠严格的时间块管理?

笔记:问到了独立开发者做多产品最头疼的运维痛点,非常有参考价值

网友 soozo
👍 1
上线追问

Really interesting breakdown - curious about the "viral PH launch" section since I'm about to attempt my first real Product Hunt launch. Did you prep anything specific beforehand (assets, timing, network outreach) or did it grow organically once it hit the front page?

我马上要第一次做Product Hunt上线,很好奇登顶当日第一是提前做了素材、 timing、人脉对接的准备,还是上了首页之后自然爆的?

笔记:精准指向PH冲榜的实操细节,对新手非常实用

网友 Alper Tayfur
👍 1
壁垒解读

The strongest lesson here is what happened after the big AI platforms added similar generation features. The generation itself became easier to copy, but the workflow around it didn’t.

最有价值的经验是大厂推出同类生成功能之后的应对思路:生成能力本身很容易被复制,但围绕生成的完整工作流是很难抄走的。

笔记:提炼出AI创业打造长期壁垒的核心方向

网友 zinkey37
👍 1
SEO追问

As someone deeply involved in SEO, I absolutely love your strategy of using an open-source GitHub repo as the top of the funnel. Most people overlook how powerful a well-documented README can be for driving targeted, high-intent traffic before even pushing the paid SaaS version. Did you actively build backlinks to the repo initially, or was the traffic purely organic from GitHub's internal search and your blog posts?

我做SEO很多年,非常认可把开源GitHub仓库作为漏斗顶部的思路,大部分人都忽略了写好README就能在付费产品上线前获取大量高意向流量。好奇你一开始有没有主动给仓库做外链,还是流量完全来自GitHub站内搜索和博客?

笔记:从专业SEO从业者视角深挖开源引流的实操细节

网友 Raúl Calvo
👍 1
模式追问

The open-source sequencing is the part I'd have gotten wrong. You released the repo first, let GitHub and the blog posts build traffic, and only added the hosted app link to the README once there was traffic worth converting. How long did the repo sit there before you added the app URL? And was that a deliberate sequence, or did you just not have the app ready yet?

我之前肯定会搞错开源的顺序:你先放开源仓库攒流量,等流量起来了才在README加付费SaaS链接,而不是反过来先推付费产品。好奇仓库放了多久才加的应用链接,是刻意设计的流程还是当时付费产品还没做完?

笔记:点出大部分人做开源SaaS的顺序误区,非常有启发性

网友 Pranav Kethireddy
👍 1
数据洞察

The number that stands out isn't the 2.5M registered users. It's what it implies about conversion. At ~$7k MRR against plans starting around $10–15, that's a few hundred paying accounts out of 2.5 million registrations — roughly one payer per several thousand signups. Supermeme brought 2M registrations and comparatively little revenue. Questgen brought 150K registrations and $150K over four years.

最值得关注的不是250万注册用户,而是背后的转化率:7k月收入对应几百个付费用户,相当于几千个注册用户里才出一个付费用户。200万用户的表情包工具贡献的收入很少,15万用户的教育工具Questgen才是真正的收入支柱。

笔记:穿透表面用户数,拆解不同产品的真实商业价值,避免创业者盲目追求虚荣数据

网友 RyanNiu
👍 1
经验总结

The biggest takeaway for me is that distribution matters as much as building. Open source, SEO, and frequent launches created momentum, while specialized output formats built a moat against bigger AI platforms. Really solid playbook!

最大的收获是分销和产品本身一样重要:开源、SEO、高频发布形成增长动力,专属输出格式搭建对抗大厂的壁垒,这是一套非常扎实的创业手册。

笔记:总结出整套可直接复用的独立AI创业方法论

网友 Dipesh Baral
👍 1
踩坑共鸣

Reading this right after fixing a real security bug in my own app this morning, so "launch lightweight demos and check reception before doubling down" really landed. I did the opposite with my first product, built the whole thing first, then found out later if the pain was even real.

我今早刚修完自己产品的安全漏洞,看到“先发布轻量Demo验证反馈再投入”这句话太有共鸣了,我第一个产品就是反着做的,把全部功能做完才发现用户根本没有这个痛点。

笔记:用真实踩坑经历印证了快速验证思路的重要性,非常有代入感

网友 Naitik
👍 1
时间追问

What stood out to me wasn't the revenue, it was the discipline to keep showing up consistently while working full time. I'm still balancing a day job with my SaaS, and the hardest part isn't building, it's deciding what not to work on. Curious if there was anything you deliberately stopped doing to keep making progress.

我最佩服的不是收入,而是全职工作之余还能长期坚持迭代的自律。我现在也在平衡主业和SaaS,最难的不是开发,而是学会做减法,好奇你为了推进项目刻意砍掉了哪些事?

笔记:问到了兼职创业者最核心的时间管理痛点,实用性极强

Localization Notes

  • 可将海外大模型替换为文心一言、通义千问、Kimi等国产大模型,降低调用成本同时符合国内合规要求
  • 技术栈可沿用NextJS搭配阿里云/腾讯云服务,复用成熟部署模板降低多项目运维成本
  • 优先深耕教育场景AI出题、企业培训题库生成、营销场景AI表情包生成等垂直细分赛道,避开通用AI工具的同质化竞争
  • 可将开源项目托管到Gitee平台,面向国内开发者群体引流,搭配知乎、掘金等内容平台做SEO流量积累
  • 需重点做好生成内容版权合规、用户数据备案,规避国内AIGC监管相关风险
  • 多产品矩阵策略适合国内兼职独立开发者,分散单一产品政策、流量波动带来的风险