出售项目套现12万美元后,我靠热情项目做到1000名用户
Building a passion project to 1k users after a $120k exit
Tallow · 健康食品扫描App · 未公开 · 周入650美元
- ⚡靠短视频前置获客实现84%付费转化率,远超行业3-5%平均水平
- 🎯所有评分规则透明可溯源,打造健康赛道稀缺信任护城河
- 🚀1人独立开发,运营成本极低,收入和内容产出直接挂钩
- 💡提前布局多账号备份,完全规避第三方平台限流断流风险
独立开发者靠过往项目变现积累资金,切入健康食品赛道,通过短内容精准筛选高意向用户,实现84%超高付费转化率,核心壁垒为全溯源透明的检测数据体系。

项目背景:两次成功出售后的长期创业选择
Two flips and a long-term business
我是普渡大学计算机专业学生Maddox Schmidlkofer,已经有5年编程经验,从小就在互联网上做开发。16岁时我做了Duckmath——一个校园未封锁游戏平台里程碑,初衷是想在学校玩游戏,后来做到月活150万,月收入约1.5万美元,20岁那年我以12万美元的价格把它卖给了最大的竞争对手Freezenova。更早之前我还做了Maddoxcloud——一个浏览器端云游戏平台,以1.5万美元的价格出售。我做过很多小项目,但我不想做自己根本不关心的产品。现在我在做我最在意的项目Tallow,这是一款面向想了解食品成分的用户的食品扫描APP,你用iPhone对准任意超市产品,几秒内就能得到完整的成分拆解:明确标注种子油、NOVA超加工评分、对照欧盟禁令和FDA警示标注的有害添加剂,还有引用自权威来源的微塑料、PFAS、重金属等实验室检测污染物数据。目前它已经上架App Store,拥有超过1000名用户,评分4.9星。项目还在早期,过去一年通过Superwall累计收入超过2000美元,仅最近7天就收入约650美元,增长趋势持续向好,付费墙转化率达到84%,我对此非常满意。收入数据
I'm Maddox Schmidlkofer, a CS student at Purdue. I've been coding for about five years and grew up building on the internet. When I was 16, I started Duckmath — an unblocked games platform — because I wanted to play games at school. It grew to approximately 1.5 million monthly users and about $15k/month. Last November, I sold it to my biggest competitor, Freezenova, for $120k. I was 20 years old. Before that, I also built Maddoxcloud — a browser-based cloud gaming platform — and sold it for $15k. I've shipped many small projects along the way, but I don't like building projects that I don't care about. Currently, I'm working on Tallow, the project I care most about. It's a food scanner app for people who want to know what's inside their food. It's available on the App Store with over 1,000 users and a 4.9-star rating. It's still early, but it has done a little over $2k in the last year through Superwall; the last 7 days alone brought in around $650, and the trend is finally pointing up. Paywall conversion is around 84%, which I'm really happy with.
Who is it for?
- ✓有短视频内容创作能力的独立开发者
- ✓对健康食品赛道有深度认知的技术人员
Not for
- ✗完全不懂内容运营的纯技术开发者
- ✗追求快速变现不愿长期深耕垂直赛道的人
关键里程碑
16岁 · 开发未封锁游戏平台Duckmath,做到150万月活、1.5万美元月收入
20岁 · 以12万美元价格出售Duckmath,此前已将云游戏平台Maddoxcloud以1.5万美元出售
项目上线后 · Tallow上架App Store,累计1000名用户,周收入达650美元,付费转化率84%
找到真正重要的问题
Finding an important problem
卖掉Duckmath之后我决定下一个项目要做自己真正关心的健康垂直赛道。过去几年我深入研究清洁食品和种子油相关内容,发现普通人很难通过食品标签搞清楚食物的真实成分,这个痛点催生了Tallow的想法。市面上已经有Yuka这类扫描APP,但大多只给出红绿灯评分,不展示背后的判断依据,我想做一个能明确告诉你为什么这个产品好或者不好的工具。我没有写商业计划书,直接通过内容验证想法:发布大量关于种子油和清洁食品的短视频,观察用户反馈,很快就找到了验证方法和我一样关心这个问题的受众。当时我手里有之前项目变现的12万美元,不需要靠新项目谋生,可以打长期战,不用急着转手卖掉,我把它叫做我的第三个也是最后一个创业项目。
When I started Tallow, I had just sold Duckmath. That was great, but it was a gaming site that I started as a kid to play games at school. It never meant much to me beyond the money and the challenge. I decided my next venture would be in a niche I genuinely cared about: health. Over the last couple of years, I delved deeply into clean food and seed oils. I started reading labels and realized how hard it is to know what's really in your food. That frustration sparked the idea for Tallow. I validated the idea through content. I didn't write a business plan and sit on it; I just started posting. I made videos about seed oils and clean food, observed what resonated, and saw that there was a real audience that cared about this as much as I did. Financially, I was in a decent spot to take the swing. As a CS student with $120k in the bank from my acquisition, I wasn't building this out of desperation. I could afford to play the long game and build the product right instead of flipping it. I call this my third and final startup.
核心创业心态
数据层面的难点
Data pains
我几乎是独自开发Tallow,APP端开发对有5年编程经验的我来说并不难,最难的部分是数据和方法论体系。Tallow的核心卖点就是所有判断都有依据,任何人都可以随便给产品打个分,但我要为每一个结论负责。0-100分的Tallow评分体系迭代花了我最长时间,它由种子油、添加剂、NOVA加工等级、塑料暴露四个加权维度构成,再叠加有机、草饲、野生捕捞等正向信号做调整。数据层面我从公开食品数据库提取成分信息,对照欧盟禁令和FDA警示交叉核对添加剂,从EWG、消费者报告、FDA检测、PubMed研究等权威来源提取微塑料、PFAS、重金属、农药残留的真实实验室数据,所有数据都标注来源。因为所有开发都是我自己做,成本很低,只有苹果开发者账号、云服务和工具的常规支出。核心壁垒
I built Tallow mostly solo. I've been coding for about five years, so the app side wasn't scary; the data and methodology were the hard parts. Tallow's pitch is that it shows its work. Anyone can slap a score on a product, but I wanted to defend every claim. The scoring system was the biggest time sink. The Tallow score, from 0-100, builds on four weighted pillars: seed oils, additives, processing level (NOVA), and plastic exposure. I then adjust it using sourcing signals like organic, grass-fed, wild-caught, and so on. Iterating to get that right took a long time. For data, I pull ingredient info from open food databases, cross-reference additives against EU bans and FDA flags, and surface real lab data on microplastics, PFAS, heavy metals, and pesticide residue from sources like EWG, Consumer Reports, FDA testing, PubMed studies, and oasishealth.app. I cite every figure back to its origin. Building it wasn't expensive since I did the engineering myself; costs were just the usual app stuff: Apple Developer account, infra, and tooling.
产品核心定位
移动端技术栈
A mobile stack
Tallow目前是纯iOS原生应用,条码扫描、产品页、评分拆解、餐厅地图功能都在客户端实现,我把评分逻辑和数据都放在后端,这样不需要每次发版就能更新判断规则。AI用来把原始成分列表转换成通俗易懂的大白话解释,但核心评分逻辑完全是规则驱动的,全程透明。变现层面我用Supe架构设计rwall搭建付费墙,可以不用重新部署就完成付费墙和引导流程的A/B测试,这对我来说非常重要,因为收入和内容流量高度绑定,快速测试付费墙是除了多更视频之外为数不多的提升杠杆。后续我还会扩展安卓端和网页端,把核心逻辑抽离出来跨平台复用。
Tallow is primarily an iOS app, with a native iPhone front end. Barcode scanning, product pages, score breakdowns, and the restaurant map all reside there. I kept the client fairly lean, pushing the heavy lifting — the scoring logic and data — to the backend. This allows me to update methodology without shipping a new app version every time. AI helps with descriptions and explanations, turning raw ingredient lists into plain-English breakdowns. However, I carefully keep the actual scoring rules-based and transparent. For monetization, the stack uses Superwall, which allows me to build and A/B test paywalls and onboarding flows without redeploying. This has been huge because revenue is closely tied to content and traffic; quickly testing paywalls is one of the few levers I have beyond simply "posting more videos." Next, I plan to move beyond iOS-only. Android and web are the most requested features, and this will mean rethinking parts of the stack to share more logic across platforms.
技术选型思路
定价和扩张路径
Pricing and expansion
Tallow采用免费增值订阅模式,基础扫描和基础评分完全免费,用户下载就能立刻获得价值,订阅可以解锁全部高级功能,我设置了三档定价:29.99美元/年、19.99美元/年(含3天免费试用)、9.99美元/月。我从第一天就开始收费,收入增长的核心驱动力不是定价,而是内容和付费墙优化,84%的超高转化率是因为来的定价策略用户本来就非常关心这个赛道,他们不是随便下载的路人,都是从种子油、清洁食品相关的视频过来的,已经做好了付费获取答案的准备。后续我的扩张路径很清晰:第一是增加安装量,因为漏斗转化率已经很高,更多顶部流量就能直接转化成收入;第二是平台扩张,现在只有iOS端,安卓和网页是用户最常提的需求,能带来大量新用户;第三是增加深度订阅功能,比如儿童安全模式、智能替换推荐、餐厅地图,提升用户留存率。
As far as the business model, Tallow is a freemium subscription app. The scanner and a basic score are free, so users get value immediately upon download, and the subscription unlocks deeper features. I have three tiers: $29.99/yr, $19.99/yr with a 3-day free trial, $9.99/mo. I started charging from the start, but revenue growth wasn't driven by pricing; content and the paywall drove it. Paywall conversion is around 84%, which is unusually high because Tallow users already care about this topic. They don't casually browse. They come from videos about seed oils or clean food, ready to pay for answers. My expansion levers are clear. First, more installs; since the funnel converts well, more top-of-funnel traffic generates revenue. Second, platform expansion; I am iOS-only today, and Android and web are my most requested features, representing a whole new user pool. Third, features that deepen the subscription: kid-safe mode, smart swaps, and the restaurant map all encourage repeated use of Tallow, which helps retention and provides more reasons to stay subscribed.
收入模式拆解
自增长的漏斗
A funnel that builds itself
Tallow的增长完全来自我自己创作的短视频,发布在TikTok、Instagram Reels等平台。我没有做盛大的公开上线,只是持续发布关于种子油、清洁食品、食品成分的内容,让内容自然找到目标受众。现在清洁食品赛道的热度很高,优质内容很容易传播。我把视频本身当成漏斗:用户看到一条关于微塑料或者可疑成分的视频,产生兴趣之后,Tallow就是他们立刻可以用来检查自己家食物的工具,这就是为什么付费转化率这么高的原因——内容已经提前筛选好了高意向用户,根本没有无效安装。我刻意运营多个账号,养号之后跨账号测试内容,避免完全依赖单个账号,万一增长策略账号被限流或者视频被下架也不会完全断流,我还会把每条内容二次分发到Reddit和Facebook榨取更多流量。我最大的心得是,内容的一致性和产出量比单条爆火更重要,要观察什么样的内容受众反馈好,然后持续产出同方向的内容,同时要非常谨慎,所有内容都要有事实依据,不能为了 viral 传播编造不实信息,可信度比短期流量重要得多。我的收入和内容产出几乎是一一对应的,视频产出好的星期收入就高,视频产出差的星期收入就低。另外我也赶上了风口,现在全社会对清洁食品的关注度比几年前高很多,我没有创造这个需求,只是在注意力集中的时候做好了工具,持续输出内容。
Tallow's growth comes entirely from short-form videos I create. TikTok, Instagram Reels, and similar platforms. I didn't do a big launch; I simply started posting about seed oils, clean food, and what's in people's food, letting the content find its audience. The niche is loud right now; people care a lot about this stuff, so good content travels. I view the video as the funnel. Someone sees a video about, say, microplastics or a sketchy ingredient; they care, and Tallow offers the obvious next step to check their own food. That's why my paywall converts so high (~84%); the content pre-qualifies incoming users; they aren't random installs. I intentionally run multiple accounts. I warm up new accounts and test content across them to avoid dependence on a single one and to switch the flow if an account gets throttled or videos start getting suppressed — which happens more than you'd think. Having backups means a bad week on one account doesn't kill me. I also repurpose into other channels like Reddit and Facebook to squeeze more out of each piece. A key lesson is that consistency and volume matter more than any single viral hit, and you must observe what resonates and lean into it. I pay attention to which angles land (the political / MAHA / 'what's really in your food' framing is strong) and create more of that, while carefully caveating factual content to avoid making unsubstantiated claims. Sensationalism is easy, but credibility isn't, so I prefer caution over being viral-but-wrong. My revenue tracks my content almost one-to-one. Good video weeks lead to good revenue weeks; bad video weeks lead to bad revenue weeks. That's the current reality of the model. Beyond content, a force outside of my control helped too: timing. The whole clean food conversation is loud right now. People care about this stuff more than they did a couple of years ago, and this cultural wave means good content travels further than it otherwise would. I didn't create that demand; I just built the tool for it and showed up with content while the attention was there.
增长渠道组合
垂直深耕和多备份策略
Niche down and create backups
我的通用创业建议是:第一,做你真正关心的垂直赛道,代码开发不是最难的部分,最难的是连续几个月每天坚持产出内容、优化产品直到项目盈利,你不可能长期假装自己对一个赛道有热情,之前做Duckmath的经历告诉我,做自己不关心的项目很容易 burnout,钱再多也没用。第二,内容就是漏斗,不要把营销当成产品做完之后才要做的额外任务,我的视频和APP解决的是同一个痛点,内容提前筛选用户,所以付费转化率才会这么高,如果内容和产品解决的不是同一个问题,你永远要和漏斗做斗争。第三,不要完全依赖第三方平台,不留任何备份,平台一定会限流、下架你的视频甚至删掉你的账号,你要运营多个账号,提前做好备份,等主账号出问题的时候立刻可以顶上,我是吃过亏才知道这个道理。第四,产品没做完之前就开始发内容,不需要复杂的验证流程,直接发关于这个痛点的内容,看有没有人感兴趣,如果内容有共鸣,你就找到了你的受众,完全可以先有受众再做产品,我就是这么做的。最后,坚持写日志,每天记录你做了什么,哪里出了问题,回头看自己之前的想法能避免你在同一个问题上反复绕圈,独立创业一半的核心就是不要对自己撒谎,要诚实面对什么核心原则东西真正有效。
And here's my advice overall: Build in a niche you care about. This sounds like generic advice, but it's crucial. The code isn't the hard part. The hard part is showing up daily to create content and improve the product for months before it pays off. And you cannot fake caring for that long. Duckmath taught me that building something you don't care about gets exhausting; the money's nice, but you burn out. Content is the funnel; don't treat marketing as a separate task you do after building. For me, a video and the app address the same pain point, so the content qualifies people before they install, which is why my paywall converts so well. If your content and your product don't address the same problem, you'll fight your funnel forever. Don't build entirely on someone else's platform without a backup. Platforms will throttle you, suppress your videos, and delete your account — and it will feel personal, even though it isn't. Run multiple accounts, keep backups ready, and plan for when your main channel gets hit, because it will. I learned that the hard way. Start posting before you build the whole thing. You don't need a fancy validation process; post content about the problem and see if anyone cares. If it resonates, you've found your audience, and you can build for them. For me, the audience came before the product. Finally, journal. Write down what you're doing and what's going wrong daily. It's boring advice, but looking back at my own thinking has saved me from repeatedly circling the same problems. Half of indie hacking is not lying to yourself about what's working.
关键证据引用
未来规划
What's next?
我的核心目标是把Tallow做成一个长期存续的真正的生意,而不是下一个转手卖掉的项目,我叫它我的第三也是最后一个创业项目,就是不想再快速套现了,我想把它做成用户检查食品成分的默认选择。短期来看我要先做完安卓端和网页端,补上现在缺失的大量用户,同时优化产品让用户愿意反复打开,餐厅地图、儿童安全模式、智能替换推荐都是为了让Tallow融入用户的日常习惯,而不是一次性扫描工具。我还要持续提升产品的可信度,Tallow的核心卖点就是所有结论都有依据,后续我要进一步完善数据和方法论体系,增加更多带引用的实验室数据,提升成分覆盖度,打造用户真正信任的评分体系,在这个充满炒作的赛道里,可信度就是长期护城河。长期来看我希望Tallow能成为覆盖所有食品和餐饮场景的通用健康判断可信层,我自己也会一直做自己真正关心的产品,这是我第一次做到使命和商业完全对齐的项目,我想一直保持这个状态。
My main goal is to make Tallow a real, lasting business, not just another thing I flip. I've called it my third and final startup for a reason; I don't want a quick exit this time. I want to build a product that becomes the default way people check what's in their food. In the near term, that means expanding beyond iOS-only. Android and web are my most requested features by far, representing a whole new pool of users I'm currently missing. It also means making the product something people open repeatedly; the restaurant map, kid-safe mode, and smart swaps are all steps toward Tallow becoming part of someone's routine instead of a one-time scan. I also want to continue raising the bar on credibility. Tallow's whole point is to show its work. As I grow, I want the data and methodology to become deeper and more bulletproof: more cited lab data, better ingredient coverage, and a score people genuinely trust. In a niche full of hype, credibility is the long-term moat. More broadly, I care about the clean food problem beyond just one app. I've explored related ideas (like a directory of clean products), and long term, I'd love Tallow to be the trusted layer for "Is this good for me?" across food and the places you eat. And personally, I want to keep building things I care about; this is the first one where the mission and the business align, and I want to keep it that way.
本地化参考
- 国内健康赛道同样处于快速增长期,用户对食品成分透明度的需求持续上升
- 可信度同样是国内同类产品的核心护城河,可直接复用全溯源数据体系的思路
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 70 条 · 展示 9 条 · 创作者回复 0 条
The 84% paywall conversion is wild — most apps celebrate hitting 3-5%. The “show your work” angle is smart positioning. Yuka has the brand recognition but you have the receipts. One question: with the restaurant map going crowd-sourced, how are you handling data quality?
84%的付费转化率太惊人了,大多数同类APP能做到3-5%就已经很不错了。所有结论都标注来源的定位非常聪明,竞品Yuka有品牌知名度但你有实打实的权威数据支撑。想问下众包模式的餐厅地图你是怎么处理数据质量问题的?
笔记:点出了产品核心优势和潜在风险,众包数据的校验是后续扩张必须解决的问题
"Content is the funnel" is a sharp observation. That's exactly where things break quietly: a scan → score → paywall flow can work perfectly on iPhone and silently fall apart on another platform. And for a product whose whole value is trust, one bug in the critical path costs more than usual.
"内容就是漏斗"是非常精准的洞察,跨平台适配阶段很容易出现隐性问题:扫码-评分-付费的核心路径在iPhone上运行完美,换到其他平台可能悄悄出故障,而对于主打信任的产品来说,关键路径的一个bug造成的损失远大于普通产品。
笔记:提醒了跨平台扩张阶段的潜在风险,信任类产品的核心路径稳定性优先级极高
This case study is proof that the fastest, most reliable path to "sought after + self-selling" isn't a clever product mechanic — it's finding a niche audience that's already emotionally activated about a problem, then being the person who shows up in that niche daily until the audience trusts you enough to pay.
这个案例证明了打造自带传播属性产品的最快路径根本不是靠什么巧妙的产品机制,而是找到一群已经对某个问题高度关注的垂直受众,持续在这个赛道输出内容直到用户信任你愿意付费。
笔记:把案例经验提炼成了通用方法论,对所有垂直赛道创业者都有参考价值
The interesting part is not the app, It's that the marketing cost is zero and the CAC is a camera. When your content and your product solve the same problem, the funnel is just physics. Everything else is founders fighting gravity.
这个案例最有意思的点不是APP本身,而是它的营销成本几乎为零,获客成本只需要一台手机。当你的内容和产品解决同一个痛点时,转化漏斗就像物理定律一样顺畅,其他所有创业者都在和重力对抗。
笔记:用非常形象的比喻点出了内容产品对齐带来的极低获客成本优势
The part that resonates most isn't the $120k exit — it's the pivot away from flips toward something you actually care about. Two profitable exits at 20 buys you the rarest thing in indie hacking: permission to play long-term instead of chasing the next quick sell.
最让我有共鸣的不是12万美元的套现,而是你从快速转手项目转向做自己真正关心的产品的选择。20岁就完成两次成功退出,你获得了独立创业圈最稀缺的东西:可以长期深耕项目而不用追逐下一个快速变现机会的选择权。
笔记:点出了多次退出给独立开发者带来的最核心资产不是钱,而是长期试错的自由
The tension nobody's naming: your moat is credibility, but your distribution runs on the seed-oil outrage wave, which rewards the opposite. Riding a cultural wave is rented attention, and it can turn the moment the narrative gets debunked or moves on.
大家都没提到的一个矛盾点是:你的核心护城河是可信度,但你的流量来自于清洁食品、种子油相关的热点情绪传播,这类热点流量本质是租来的,一旦公众叙事反转或者热度退去,流量就会立刻消失。
笔记:点出了当前增长模式的潜在脆弱性,后续需要靠留存和口碑降低对热点流量的依赖
"Half of indie hacking is not lying to yourself about what's working" is the whole post for me. Genuine question on the multi-account play: how long do you warm a new account before you trust it with real traffic, and what's your actual signal that it's ready vs quietly shadow-throttled?
你说的"独立创业一半的核心是不要对自己撒谎,要诚实面对什么东西真正有效"这句话就是整个案例的精华。想问下多账号运营的细节:你一般把新账号养多久之后才敢用来发带流量的内容,怎么判断账号已经正常可用而不是被悄悄限流了?
笔记:问到了多账号运营的实操细节,对所有靠短视频获客的创业者都有很高参考价值
"You cannot fake caring for that long" is the whole post right there. The code was never the hard part. Showing up daily for months before it pays off is, and most people quit right before it gets good.
"你不可能长期假装自己对一个赛道有热情"这句话就是整个案例的核心。写代码从来不是最难的部分,最难的是连续几个月每天坚持产出内容优化产品直到盈利,大部分人都在黎明前就放弃了。
笔记:提炼出了所有独立创业者都需要面对的核心挑战:长期坚持的耐力
Really enjoyed reading this. The part that stood out to me most was that you validated the idea through content before obsessing over building every feature. I think that's a lesson many founders overlook.
读完收获很大,最让我印象深刻的是你在花大量精力开发所有功能之前,就先通过内容验证了需求真实存在,这是很多创业者都忽略的重要一课。
笔记:点出了内容前置验证思路的普适性,所有创业者都可以复用这个低成本验证方法
Localization Notes
- 国内可优先用微信小程序作为载体,降低用户下载门槛,同时适配安卓+iOS双端
- 接入国内公开食品成分数据库、卫健委食品添加剂标准,替换海外数据源,符合本土使用习惯
- 冷启动依托抖音、小红书健康垂类短内容,完全复刻内容即漏斗的获客路径,精准筛选高意向用户
- 严格遵守国内食品健康内容监管要求,所有宣称需有权威来源支撑,避免不实宣传带来的合规风险
- 接入微信支付、支付宝,设置9.9元/月、19.9元/年、29.9元/年等符合国内用户消费习惯的订阅档位
- 可拓展家庭健康管理、儿童食品筛查、外卖成分检测等本地化特色功能,大幅提升用户留存率