数字创可贴
166 posts

数字创可贴
@byronzhao4
专注于提供“次抛型”数字解决方案,像创可贴一样快速响应、精准修复您在数字生活中遇到的各种小“伤口”或小麻烦,让高效和便捷触手可及,我们希望每一次微小的解决,都能为您带来一份“小确幸” 式的轻松与安心。
china Katılım Kasım 2021
167 Takip Edilen18 Takipçiler

I mapped out 50 ways to make money with AI in 2026.
Not theory. Not hype. Real business models with revenue paths and MVP scope.
Organized into 5 categories: vertical agents, content tools, data infrastructure, edge AI, and services.
Each idea shows exactly what to build and how to monetize it.
Saved me 3 weeks of research when I was figuring out what to launch.
Comment "IDEAS" and I'll DM it to you (must be following)

English

Had breakfast with a founder this morning who builds software for independent moving companies.
He was in NJ to meet a customer, and DM'd me on X. I had never met or talked to him before, but the conversation was super interesting.
There are about 7,000 of them in the US. Most people assume it's all U-Haul and pods. It's not even close.
He has 900 customers paying $525/month. 89% GRR. But here's what blew my mind.
His biggest feature isn't scheduling or dispatch or CRM…. It's a damage claim module.
Moving companies get hit with damage claims on roughly 1 in 4 jobs. The average claim is $800. Most owners just pay it to avoid a bad Google review... even when the damage was pre-existing.
His module takes timestamped photos of every item before and after the move and automatically catalogs them. It then uses AI to write up a full description and condition score for the product.
Before the module, his customers were paying out ~$180,000/year in damage claims on avg. Sounds like a lot but he said it’s just part of the business.
With his product, that dropped to ~$60,000. Because now they had proof.
The $525/month product saves them $10,000/month.
He told me his sales cycle went from 45 days to 8 days once he started leading with the claims data instead of the software demo.
Nobody wants to buy "moving company software."
Everyone wants to stop hemorrhaging $120k a year on claims they shouldn't be paying.
He’s totally right.
English

几个月前,线下活动认识的朋友跟我说他被裁了。
和他聊了挺久,聊到最后我说:
要不你试试自己干点啥?反正现在也不用愁温饱。
现在 AI 那么强,自媒体成本又低,随便挑赛道先开始做,不会的东西让 AI 帮忙,边做边学。
他说会试试。之后我们就没聊过了,我也没觉得他真能听得进去。
昨晚,他突然发消息问我一个 AI 工具的事,我顺口问他:“最近咋样了?”
他的回答还是让我挺意外的:
挺好的,网上赚了点钱,先不打算找工作了。
原来这几个月,他一直在做自媒体。用 AI 写文案、做图、做视频,甚至一个文科生学了 Vibecoding(通过 AI 辅助编程/创作)。
慢慢摸索出来后,通过卖货、卖服务,现在已经有了收入。
我其实还挺惊讶的,他在几个月前还只会上班,现在好像找到了新的方向,有了独立思考的能力,我还是由衷感到高兴。
从这其实也不难看出,现在我们做任何事情的成本已经很低了。
就像他和我说的:“现在也不能说会,但就是能做出来。”
中文


我没有任何技术开发背景。
在 Vibe Coding 开始流行起来之后,我尝试用 AI 做了一些工具。因为没有任何开发经验,所以我目前做的东西都比较简单,有些也只是类似玩具一样的东西。
我打算每做一个新的项目都尽量比上个项目难一点、复杂一点。这样的话长久下来我就可以胜任比较复杂的项目。
我目前做的每一个工具都会上传成网站,并且发到 X 给大家使用,代码也会开源到 Github 供大家下载,大家可以关注我的 X 和 Github,让我们一起共同学习、共同进步。
下面是我目前做过的工具链接集合:
• 价值观纠正器:wolfyxbt.github.io/ValuesCorrecto…
• 币安现货看板:binance-spot-dashboard.vercel.app
• 圣诞帽生成器:xmas-hat-generator.vercel.app
• 日期计算器:wolfyxbt.github.io/date-calculato…
• 订阅服务追踪器:sub-bar.vercel.app
• 币安 Alpha 看板:jjboard.app/spot

中文

1. 去openstax.org 里找本感兴趣的教材,下载PDF
2. 上传到notebookLM里
3. 用这个Gem,生成教材导读prompt,应当上传PDF,指定章节,指定音频还是视频,指定时长(貌似不太管用),然后能够得到结果。gemini.google.com/gem/16_hbu8t8x…
4. 去notebookLM里放入教材导读prompt,生成音频或者视频
中文


即梦去水印,推荐用这个浏览器:猫抓
不仅能移除即梦图片水印,即梦视频水印也不在话下。
插件地址见评论区。

向阳乔木@vista8
即梦官方不想让你知道的秘密:去水印只需1秒! 最近公众号封面都用即梦生成,效果很棒 可惜带水印,每次都要裁切。大厂产品都要满足法务监管,能理解。 发现个Chrome插件,直接下载没有水印的图。 地址见评论
中文



























