Reduce cognitive burden, let systems handle complexity Β· Three-dimensional thinking modes & five-type material management
Reduce cognitive burden, let systems handle complexity. By establishing systematic data management processes, make information collection, classification, retrieval, and storage fully automated, freeing the brain to focus on creative work.
Especially for beginners, mastering 1:1 copying and imitation is our winning formula. We just need to change the logo and brand name in the copied content to our own, everything else stays the same. This is your secret weapon for quickly running through MVP validation and making money fast.
When it comes to copying, Tencent is absolutely the king in this field - if Tencent says they're second, no one dares claim first. Any decent product on the market has been 1:1 copied by Tencent. This strategy helped Tencent quickly capture markets, avoiding trial-and-error costs of starting from zero.
How to quickly copy competitors' experience (product content) for our use - whether for beginners building material & resource libraries from 0 to 1, or veterans supplementing their libraries, this is particularly important. Establish competitor research database, regularly collect excellent cases, quickly absorb successful experiences.
Classification is categorization. For our content extraction, we mainly do categorized archiving. The most core aspect of index building is file naming and file description. When collecting content for material & resource libraries, the key is having indexing (keyword) awareness.
This is very simple to practice - we generally use categorization + file naming + file description (can also be tags) to create "indexes." Establish unified naming conventions, use standardized classification systems, combined with keyword tagging systems.
Build multi-dimensional classification framework by topic, time, importance
Unified format: Date-Category-Topic-Version
Multi-tag combinations supporting cross-retrieval and fuzzy search
Standardized description format including key points and application scenarios
Throughout different periods of our lives, we experience interesting and memorable events. If we understand backup thinking and record ("backup") this "data" through "images and text," "audio and video," "objects" and other means, these materials & resources are undoubtedly very important and precious in our lives.
The habit of taking notes and keeping diaries from childhood is an excellent habit that helped me develop important thinking about backing up my life data. I still maintain a habit - never deleting chat records, never deleting friends (once friends are deleted, corresponding chat records are also deleted).
I regularly backup my phone WeChat chat records to my Mac and Windows computers to prepare for catastrophic accidents like phone loss or damage (many people have lucky-chance mentality here - though such probability events don't happen often, once they occur, they're catastrophic).
I often screenshot early chat records to friends I've known for years and have good relationships with, then add a romantic line saying "you're the most important person in my life, I've always kept our chat records" - instantly moving them to tears (little do they know I'm actually a data backup expert who never deletes anyone's chat records~haha).
Additionally, WeChat chat records can serve not only as our material but also as legal evidence. Previously when someone owed money and wouldn't pay, I sued them in court. Fortunately, I had good data backup habits - WeChat chat records became important evidence.
So the value of some content only becomes especially precious after accumulating over time. This historically precious data is very important basis for our subsequent content production, personal IP creation, etc. Backup is a very important technical thinking in the tech field, and also a very important way to preserve wonderful moments in our long lives.
3 copies, 2 storage media, 1 offsite backup
Set automatic backup tasks ensuring real-time data updates
Keep multiple historical versions preventing accidental deletion of important information
Combine local and cloud storage for dual protection
Text materials are the most common. Most content we see daily is text materials, including articles from various websites and clients, personal inspiration, thoughts and notes - all belong to text materials category.
Managing text materials is the main focus of material management work. Therefore, whether choosing material management tools or categorizing materials, we need to consider rapid collection, presentation, marking and extraction of text materials.
Image materials sometimes appear together with text materials, commonly found in various articles. Sometimes they appear alone, like when we use phones or cameras to take photos - image materials are stored separately in albums.
For image material management, we need to consider technical requirements like instant sync, fast loading, pixel fidelity, quick download, memory size etc.
Document materials differ from text materials above - they're not simple text form that can be saved by copying. They're various files generated based on local documents, like Word documents, Excel documents, PPT documents, PDF documents etc.
For document material management, we need to consider functional requirements like fast loading, online viewing, quick download, memory size etc.
Media materials include audio materials, music materials and video materials etc. People doing "social media operation" or "knowledge-based IP" frequently deal with this type of material management.
Compared to text, image, and document materials, they occupy the most memory and require the most consideration for upload, preview and download speeds.
Besides above materials, there are other more niche material types, like various source materials needed by designers, various source codes, programs and plugins needed by programmers and other professional resources.
For different professional fields' special needs, establish dedicated classification and management systems, ensuring efficient utilization and quick retrieval of professional resources.
Using crawler thinking, establish multi-channel information collection mechanisms. Through RSS subscriptions, web monitoring, API interfaces and other technical means, automatically scrape relevant materials.
Using AI technology for content analysis, automatically extract key information, generate summaries and tags. Perform preliminary classification and quality assessment based on preset rules.
Applying indexing thinking, build multi-dimensional index systems. Automatically generate file names, assign tags, establish relationships, construct efficient retrieval networks.
Practicing backup thinking, implement multiple backup strategies. Auto sync to cloud storage, establish version control, ensure data security and recoverability.