Don’t just focus on paid growth: free traffic and product insights for AI products

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In the fierce competition of AI products, it is often difficult for independent developers to obtain traffic from 0 to 1 when new products are launched. Today, let us put aside the idea of ​​paid growth and explore the simplest free method of attracting traffic to AI products.

Submit the website to the product navigation station: obtain stable traffic

Submit your website to various product navigation sites. This method isn't flashy, but it works. Especially in the AI ​​era, many navigation websites for AI products have emerged. Although the traffic of these websites may not be large, they can still bring a certain amount of traffic to your website after submission, and can also increase external links, but the weight of external links is not high.

It is recommended to start with the free navigation station instead of paying in a hurry. According to experience, the traffic brought by paid navigation stations is not very impressive. Moreover, different navigation stations have different collection speeds. If you want to speed up payment collection, you may wish to contact us directly via WeChat. For inexperienced indie developers, finding these sites and getting familiar with the submission process can be tedious. Sites like Dave Hunt and Micro Launch (kind of modeled after Product Hunt) might be worth checking out and submitting products to try if they come up.

If you want to submit products to the AI ​​navigation station in batches, you might as well try the SUMPRO product developed by the team. You can submit products to hundreds of navigation sites with one click, greatly saving time.

Observation of two products: Enlightenment from the development of different tracks

Cheat Hub: C-side market profit sample

The Cheat Hub mentioned by geek Mr. Wa is a Chrome plug-in that can chat with multiple large language models (LLM) at the same time. The plug-in has a high degree of completion, with a Chrome Store rating of 4.6, 642 reviews, and more than 100,000 users. However, its free version has limited functions and can only chat with two LLMs at the same time. Many functions require payment, and the profit model is clear. However, it is a little late for independent developers to enter this direction now, but there is still something to be done.

Open Router.AI: A powerful tool for professional developers

Open Router.AI takes a different approach. It is not aimed at ordinary C-side users, but focuses on professional developers. Its positioning is underlined by its slogan "Find the best models and processes for your tips". When developers decide which model and debugging tips to use for a product, they can use the product to test the feedback results of multiple large models at the same time and select the model that is most suitable for the product. This product is highly professional and includes a variety of self-deployable models such as 7B and 13B, which is different from ChatGPT commonly used on the C side. This is useful for independent developer debugging tips. There is no need to deploy on the server first and make decisions after debugging is completed. Additionally, the product’s LLM ranking page can show the number of tokens consumed by each model of Open Router used by other developers, which is quite interesting, although of limited practical use.

I hope the above observations on AI products and the free traffic methods of the two products can inspire all independent developers. If you have any experience or ideas in practice, please share and communicate in the comment area, and let us explore the development path of AI products together.

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