Continuing from the previous text《What are the side businesses that make money through technology? What are the Internet projects that rely on technology to make money: Part I》.
Project 5: PPT/Keynote Design (Undervalued “Technology” Ways to Make Money)
💡 definition:You help companies/individualsHigh end PPT/speech script designCharge by page/project.📋 Common requirements:
- Financing BP (Business Plan)
- Product Launch PPT
- Enterprise Annual Meeting/Summary PPT
- Academic Speech Keynote
- Personal Resume PPT
👥 Suitable for:
- Can PPT/Keynote/Canva
- Have aesthetic ability (color matching, typesetting, font matching)
- Can understand the logic of the content (not “beautify”, but “help the speaker tell a good story”)
💰 Income range:

🎓 Learning cycle:
- I know PPT, but it’s poorly done1-3 months (learning design principles and reviewing excellent cases)
- Not proficient in PPT3-6 months (recommended to learn tutorials for “outsider” and “PPT enthusiast”)
🌐 Order taking platform:

💡 Real case analysis:
Case: Xiao D (PPT designer, monthly income of 30000 to 50000 yuan)
- backgroundFormer consultant, proficient in PPT and storytelling
- Customer acquisition channels:Zhihu writes “How to do a good job in financing BP”+referrals from old customers
- Project Structure:Make 8-10 BP per month (unit price 50-15000)
- Working mode:Remote, 4-6 hours per day
- Monthly income:Average 8000 yuan/project x 10=80,000 yuan
- costAlmost zero (as long as time and energy)
- Net profit: 80000 yuan/month
- Key success factors:
- Understand business logic(Not just ‘beautifying PPT’, but helping clients’ tell good business stories’)
- Delivery exceeds expectations(The client requires 20 pages, you can provide 25 pages+data charts+speech notes)
- Word of mouth communicationIn the circle of entrepreneurs, good BP designers are highly recommended
⚠️ Risk points:
- Rewriting Hell(The customer may make 10+changes and say it’s a ‘minor adjustment’)
- Urgent requirement(The customer may say ‘tomorrow’ and stay up late)
- Pricing is difficult(I don’t know if to charge 500 or 50000)
🛡️ Avoiding pitfalls guide:
- The contract specifies the number of modifications(For example, ‘including 3 rounds of modifications, additional charges for exceeding’)
- Collect deposit(50% fee for signing contracts to avoid customers running away after making changes N times)
- Establish a portfolio(Release desensitized BP on Zhihu/Behance to attract high-end customers)
[Data Analysis Category]
Project 6: Python crawler/data collection (moderate technical threshold, huge demand)
💡 definition:You write it in Pythonweb crawler scriptHelping businesses/individualsBatch collection of Internet data(E-commerce prices, competitor information, social media, recruitment salaries, etc.).📋 Common crawler requirements:
- E-commerce price monitoring (Taobao/JD/Pinduoduo)
- Competitive analysis (reviews, sales, keywords)
- Social media public opinion (Weibo/Zhihu/Xiaohongshu)
- Recruitment data analysis (salary, skill requirements)
- Real estate information aggregation (Lianjia/Beike/Anjuke)
👥 Suitable for:
- Proficient in Python (especially Requests, Scrapy, Selenium)
- Understand HTML/CSS (able to parse webpage structure)
- Have legal awareness (know which data can be crawled and which cannot be crawled)
💰 Income range:

🎓 Learning cycle:
- I know Python but haven’t written web crawlers1-3 months (learning Requests, Scrapy, and anti crawling strategies)
- Not proficient in Python6-12 months (learn Python basics first, then web crawling)
🌐 Order taking platform:

💡 Real case analysis:
Case: Xiao E (Python crawler engineer, monthly income of 40000 to 60000 yuan)
- backgroundFormer data analyst, proficient in Python+anti crawling
- Order receiving channel:Electric Duck Community+Taobao Shop Owner Group (helps monitor competitor prices)
- Project Structure:Do 5-8 web crawling projects per month (with a unit price of 50-20000 yuan)
- Working mode:Remote, 6-8 hours per day
- Monthly income:Average 10000 yuan/project x 5=fifty thousand yuan
- Key success factors:
- Resolve anti crawling issues(Many web crawling engineers only know how to “crawl simply”, they understand captcha recognition and IP proxy pooling)
- data cleaning(It’s not just about crawling down the data, it also needs to be cleaned into a format that customers can use)
- continuous maintenanceAfter the website was redesigned, the crawler crashed, and the customer was willing to pay for it to be fixed
⚠️ Risk points:
- legal risk(Crawled data that should not have been crawled, sued)
- **Websites block IP * * (Large scale crawling will be blocked, you need to know how to “disguise”)
- Technical confrontation(Target website upgrade anti crawling, your crawler is ineffective)
🛡️ Avoiding pitfalls guide:
- Only crawl public data(Don’t crawl data that requires login to view)
- View robots.txt(Website crawling protocol, specifying which pages are not allowed to be crawled)
- control frequency(Don’t send 100 requests in one second, simulate human browsing behavior)
Project 7: Excel/Google Sheets Advanced Application (a severely underestimated way to make money through “technology”)
💡 definition:You help companies/individualsOptimize Excel/Google SheetsDo itAutomated reports, financial models, and data analysis templatesCharge by project/hourly rate.📋 Common requirements:
- Financial model (DCF, NPV, IRR calculation)
- Automated reporting (daily automatic data updates+chart generation)
- Data analysis templates (Pivot Table, Power Query, VBA)
- Inventory management table (automatic warning, automatic replenishment)
- Project Gantt Chart (Automatically Calculate Progress and Resource Allocation)
👥 Suitable for:
- Proficient in Excel (functions, pivot tables Power BI)
- Proficient in VBA or Python (capable of automation)
- Have business understanding (not just ‘knowing how to operate software’, understanding customer business processes)
💰 Income range:

🎓 Learning cycle:
- Proficient in basic Excel1-3 months (learning Power Query, Power Pivot, VBA)
- Not proficient in Excel6-12 months (recommended to learn tutorials on “La Xiaodeng” and “ExcelHome”)
🌐 Order taking platform:

💡 Real case analysis:
Case: Xiao F (Excel expert, monthly income of 20000 to 40000 yuan)
- backgroundFormer Financial Manager, proficient in Excel+VBA
- Customer acquisition channels:Zhihu writes the “Excel Financial Modeling” series+Taobao store
- Project Structure:Create 15-20 Excel templates/models per month (unit price 1000-5000 yuan)
- Working mode:Remote, 4-6 hours per day
- Monthly income:Average 2500 yuan/project x 15=37500 yuan
- costAlmost zero
- Net profit: 37500 yuan/month
- Key success factors:
- Template Reusable(Create a financial model and sell it to 10 clients)
- content marketing(Zhihu article brings precise customers: finance, analysts, entrepreneurs)
- Detailed delivery documents(Not only for Excel files, but also for recording a 15 minute instructional video)
⚠️ Risk points:
- version compatibility(The customer is using Excel 2010, your file needs to be compatible)
- Formula error(A # DIV/0!)! May lead to customer decision-making errors and result in claims
- Fuzzy demand(The customer said ‘help me make a form’, but didn’t know what they wanted)
🛡️ Avoiding pitfalls guide:
- Detailed requirement confirmation(Before signing the contract, ask the customer to fill out the ‘demand list’)
- tiered pricing(First create a demo, customer satisfaction before continuing)
- provide training(Record screen explanation during delivery to avoid customers not knowing how to use it)
AI tool application category
Project 8: AI Tip Word Engineer (the hottest way to make money with technology in 2026)
💡 definition:You help companies/individualsOptimize AI prompt words (Prompt)Using AI tools such as ChatGPT, Claude, MidJourney, etcOutput more accurate and valuable content.📋 Common prompt word requirements:
- Marketing copy generation (Little Red Book/Tiktok/official account)
- Code assistance (bug fixing, code explanation, unit test generation)
- Data analysis (allowing AI to write SQL and Python scripts)
- Creative generation (naming, scripting, designing products)
- Customer service automation (AI responds to common customer questions)
👥 Suitable for:
- Can use AI tools (ChatGPT, Claude, MidJourney)
- Logical thinking (able to break down tasks and design prompt word structures)
- Having industry knowledge (such as understanding marketing, in order to write prompt words for “generating explosive copy”)
💰 Income range:

🎓 Learning cycle:
- Can use AI tools1-2 weeks (learning the basics of prompt word engineering)
- Not proficient in AI tools1-3 months (learn how to use first, then learn optimization)
🌐 Order taking platform:

💡 Real case analysis:
Case: Xiao G (AI prompt word engineer, monthly income of 50000 to 100000 yuan)
- backgroundFormer product manager, proficient in prompt word engineering
- Customer acquisition channels:Zhihu writes a complete guide to AI prompt words and promotes it internally within the enterprise
- Project Structure:Conduct 3-5 corporate training sessions per month and optimize 10-20 prompt words
- Working mode:Remote/on-site, 4-6 hours per day
- Monthly income:Training 30000+optimization of prompt words 20000=fifty thousand yuan
- costAlmost zero
- Net profit: 50000 yuan/month
- Key success factors:
- Rich case studies(Successfully deployed AI applications for over 10 enterprises with successful cases)
- continuous learning(AI tools are updated every week, keep up with them)
- standardized product(Make the prompt word library into a “template” for quick delivery)
⚠️ Risk points:
- AI tools update quickly(The optimized prompt words today may become invalid next week)
- Customer expectations are too high(Thinking that AI can be fully automated, but in reality, manual review is required)
- intensified competition(There are already many engineers with prompt words in 2026)
🛡️ Avoiding pitfalls guide:
- Sign effective contract(Note that the prompt word can achieve XX accuracy, but cannot be refunded)
- continuous maintenance(Provide 3 months of free fine-tuning after delivery)
- Establish barriers(Not just ‘writing prompts’, but’ helping enterprises implement AI applications’)
Project 9: AI Content Generation Service (using AI to help customers mass produce content)
💡 definition:You use AI tools (ChatGPT, Claude, MidJourney, Runway) to help clientsBatch generate articles, images, and videosCharge by quantity/project.📋 Common requirements:
- E-commerce product description (description copy for 1000 SKUs)
- Social media content (Little Red Book/Tiktok/official account daily change material)
- Corporate promotional materials (posters, banners, product images)
- Short video script+subtitles (AI generated script+AI dubbing+AI subtitles)
- E-book/White Paper (AI writing initial draft+manual polishing)
👥 Suitable for:
- Can use AI tools (text+images+videos)
- Has aesthetic/content judgment (AI generated content needs to be manually screened)
- Capable of mass delivery (this is a ‘scale business’, not a’ manual labor ‘)
💰 Income range:

🎓 Learning cycle:
- Can use AI tools: 1-2 weeks
- Not proficient in AI tools1-3 months
The above is what the online earning alliance (en. wangzhuan. org. cn) brings: “What are the sidelines that make money by technology? What are the Internet projects that make money by technology”. Thank you for watching.
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