Zhixiong Pan
Zhixiong Pan|12月 02, 2025 04:25
==Vibe Coding Zero Foundation Tutorial 02: Self built Information Flow== How to build your own information flow and database? I have been using high-quality data from Hacker News since the beginning of this year to build my own information flow and reduce information silos. I went online two months ago http://newshacker.me This website will make personal information flow product. I think building my own information flow is an extremely important thing because it determines my perspective and breadth of thinking. Therefore, I hope to develop http://newshacker.me Share the accumulated experience with everyone. one ️⃣ Find high-quality information sources and automate them The information in this world is diverse and complex, coming from various channels such as media, forums, and social networks. With the abuse of web crawlers, the previously open data has gradually raised the threshold for access. Nowadays, with Coding Agent, building an automated information retrieval process is actually simpler than finding truly high-quality information sources. Therefore, we can first classify the information sources and then gradually achieve automation. Category 1: Services that provide APIs For example, websites such as Hacker News, GitHub, Reddit, or Product Hunt typically have API interfaces for developers. You can use a Research Agent (such as GPT-5) to help you determine whether a website provides an API and how to use it, and then develop a minimal feasible program to retrieve data from the API. Category 2: Providing RSS services For example, academic journals or well-known media often provide web feeds in RSS or ATOM format. This method of obtaining data has low cost, and AI can help you quickly build RSS crawling tools to automatically obtain the latest information on a regular basis. Category 3: Requires web crawlers Some content platforms do not provide APIs or RSS. In this case, AI can use third-party libraries in Python to implement web crawlers, crawl web pages, and extract the required data. If the difficulty is high or the platform restrictions are obvious, the next option can be considered. Category 4: Platforms Similar to Twitter Twitter used to be extremely open, but in recent years, API costs have significantly increased. Currently, it is more recommended to use AI assistance and tools such as Python and Playwright to achieve this. This part is relatively difficult and worth developing as a separate tutorial. Category 5: Information obtained through payment Try to avoid using the unlocked Paywall plugin as much as possible. A more compliant approach is to pay for a subscription and then use the aforementioned method to automatically capture data. two ️⃣ Store data in the database The previous tutorial has already introduced how to build a database, including deploying MySQL or SQLite databases locally or in the cloud. I personally prefer Cloudflare's Worker, as each Worker can be set to run automatically on a regular basis, such as retrieving RSS or API data every 5 minutes and storing it in the database. You can ask AI to tell you how to create a database, design table structures, and guide the writing of Worker scripts in Cloudflare D1 database (SQLite). After several rounds of debugging, you can quickly build a usable data storage solution. three ️⃣ Continuously improving business logic At the beginning of writing Worker code, it is impossible to achieve it in one step. For beginners, it is normal to find it difficult to fully design all product logic and rules. For example, the initial design rule was to 'grab RSS and store it in the database', but you will soon find the problem of duplicate data storage. At this point, it is necessary to update the rule to 'only store newly added data after capturing RSS'. How to define 'new' data is a process of continuous iteration and optimization. It's okay if you didn't think it through at first, but gradually improve the logic during actual use. Many successful products are also iteratively optimized in this way. four ️⃣ Data output and application How to efficiently use data after having it? Here are several quick implementation solutions provided. The simplest method is to build a webpage for output. If you use Cloudflare, you can ask the Coding Agent to help you build Cloudflare Pages, which automatically retrieves data from the D1 database and presents it in an information flow manner. If it increases the difficulty a bit, LLM can be used to achieve content translation. The process is to build a new Worker, regularly call OpenAI or Claude API, translate data and store it in the corresponding fields of the database. Additionally, it is entirely feasible to automatically push every new message to the Telegram channel. Just create Telegram bots and channels, and automatically push content through APIs. AI is also very familiar with this process. A more advanced gameplay involves integrating and clustering data from multiple information sources. This requires the use of big language models and learning structured output techniques to efficiently process and present large amounts of data. This content is also worth further explanation. five ️⃣ summary The core of self built information flow is to clarify requirements, determine information sources, build automated capture processes, and achieve efficient storage and application of data. Even if it is not perfect at the beginning, you can certainly build your own information flow product through continuous iteration and optimization. I hope these contents can help you smoothly take the second step of Vibe Coding and open the door to a personalized information world.
+4
Mentioned
Share To

Timeline

HotFlash

APP

X

Telegram

Facebook

Reddit

CopyLink

Hot Reads