TradersList

How This Indie Builder Created TradersList and Achieved SEO Success with No-Code

Founded By

RektProof

Founders

Profitable

Yes

Year Started

2024

Customer

B2B

Founded By
RektProof: Founders
1

Profitable
Yes: Year Started
2024

Customer
B2B

Who is RektProof?

The founder of TradersList has a background in financial markets spanning seven years, leveraging their experience to create a centralized platform for trading tools, primarily using no-code tools. The founder's educational background is not specified in the available information.

What problem does TradersList solve?

TradersList saves traders time and effort by gathering high-quality free trading tools and resources into one easily searchable platform, avoiding the mess of outdated and unreliable sources.

How did RektProof come up with the idea for TradersList?

The founder of TradersList noticed a significant challenge within the trading community: valuable trading tools and resources were scattered across outdated forums and groups, making them difficult to find. Having spent seven years deeply involved in financial markets, they realized that while there were numerous high-quality, affordable tools out there that could rival professional-grade offerings, they were often buried under low-quality or misleading content.

To address this, the founder undertook a thorough research process, reviewing thousands of trading indicators and platforms, which were then organized and curated using no-code tools like Airtable. By leveraging AI tools such as ChatGPT, they were able to filter and rank these resources based on various criteria, ensuring only the most useful and legitimate tools made it to the final list.

Feedback and the initial organic traction informed the refinement process, emphasizing the need for features like search, filters, and user interaction. The key lesson learned was the power of leveraging no-code tools to build a robust and interactive platform, overcoming technical challenges without complex coding. This experience highlighted the importance of starting with a clear understanding of the problem and being agile in addressing user needs.

How did RektProof build the initial version of TradersList?

TradersList was developed using a 99% no-code approach, leveraging a combination of tools like Framer, Circle, Airtable, and Make. The initial prototype was built with Framer, allowing quick deployment of a minimal viable product (MVP) that focused on generating organic traction, achieving hundreds of daily impressions with a 4% click-through rate despite lacking SEO at that time. The process of building involved inputting thousands of trading tools into Airtable for initial sorting, followed by using Perplexity and ChatGPT to refine this dataset based on various criteria such as engagement and popularity. The task of integrating essential features like filtering, search, bookmarking, and community engagement was simplified by using Superfields, a Framer plugin, dramatically reducing the development time from weeks to hours. Despite the reliance on no-code tools, challenges included ensuring feature richness comparable to traditional high-tech stack applications, but these were overcome through thoughtful tool selection and integration.

What was the growth strategy for TradersList and how did they scale?

Product Hunt

TradersList launched on Product Hunt, a popular platform for startups to showcase their offerings and gain visibility. This launch helped them get initial attention from a community interested in technology and innovation. By encouraging users to vote and engage with the product, they increased visibility and awareness among their target audience.

Why it worked: Product Hunt is known for drawing in tech-savvy people who are on the lookout for innovative solutions. Since TradersList is designed for traders used to digital platforms, launching on Product Hunt was a strategic move to capture the attention of early adopters and enthusiasts who might give the product a try and spread the word.

SEO

They initially created a basic version of their website to test organic traffic, using no advanced SEO strategies. Despite this, they managed to quickly gather hundreds of daily impressions on Google with a 4% click-through rate. This was attributed to the niche focus of their content, which faced little competitive SEO optimization from the topics they covered.

Why it worked: The lack of competition for high-quality, centralized directories of trading tools allowed TradersList to rank well organically. They benefited from users searching for specific trading tools and resources that other platforms had not yet optimized for, tapping into a niche market with relevant content.

Using Make, Perplexity, and ChatGPT, TradersList automated their social media marketing on platforms like X (formerly Twitter) and Telegram. They generated content that gave concise overviews of the tools available on their platform, which was refined and personalized for better reception.

Why it worked: Automated content allowed TradersList to maintain regular updates and engagement with their audience. This approach kept users informed about new tools and features, driving traffic back to the site. The personal touch in edited posts ensured the content felt genuine and relatable, rather than automated and generic.

Community Engagement through Circle

TradersList leveraged Circle to build a community space for users to discuss tools, share resources, and engage in conversations about trading. This encouraged user-generated content and discussion, enhancing the platform's value as a social knowledge base.

Why it worked: By fostering a community where users could actively participate, TradersList provided additional value beyond just acting as a directory. The engagement features encouraged frequent visits from users to interact with peers, share their own insights, and discover new tools, increasing the platform’s stickiness and driving return traffic.

What's the pricing strategy for TradersList?

TradersList offers a directory of free trading tools without any paid subscription tiers, leveraging community engagement and AI summaries to draw users.

What were the biggest lessons learned from building TradersList?

Leverage No-Code Tools: TradersList was built using 99% no-code tools, proving that you can create a sophisticated web app without extensive coding knowledge. This approach saves time, reduces complexity, and makes it accessible for solitary or small teams.
Respond to User Needs: By identifying that traders needed a centralized, user-friendly platform for trading tools, TradersList effectively filled a gap in the market. Listening to user needs can direct your product's development and increase its relevance.
Focus on SEO from the Start: TradersList gained organic traction by optimizing their platform for SEO early on. Effective SEO can drive significant traffic even at the MVP stage, so don’t overlook it when launching.
Iterate Based on Feedback: TradersList improved its features like search, filters, and community functionality based on the understanding of what users needed. Use early user feedback to refine and enhance your product continuously.
Build a Community: Incorporating community features via Circle helped create a social knowledge base where users can engage and contribute. Engaging users and fostering a community can enhance product interaction and loyalty.

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