Follow verified investors

The description states: “GitHub for investors - Instagram influencer are promoting garbage stocks. We integrated them on our platform and lead user see the past history of them and decide to follow them.”

• Inferred: The product is a platform that aggregates stock recommendations from influencers, similar to how GitHub hosts code repositories.
• Inferred: It allows users to view an influencer’s historical performance or track record before deciding whether to follow them.
• Not evidenced: What the actual interface looks like, what data is shown, or how the integration with Instagram or other social platforms works.

The author states: “GitHub for investors - Instagram influencer are promoting garbage stocks. We integrated them on our platform and lead user see the past history of them and decide to follow them.”

• Claim: The product positions itself as a GitHub-like tool for investors, but with a focus on influencer-driven stock recommendations.
• Inferred: It aims to address the problem of unreliable or misleading stock advice from social media influencers by offering transparency through historical data.
• Not evidenced: Whether this is a new market need, how it differentiates from existing platforms (e.g., Seeking Alpha, Finviz), or what the author’s own experience with influencer investing was.

The description states: “lead user see the past history of them and decide to follow them.”

• Inferred: The primary users are investors who rely on social media influencers for stock recommendations.
• Inferred: These users are likely retail investors or those seeking alternative investment advice sources.
• Not evidenced: Who the lead user is, what their demographics are, or how many such users exist.

The description does not state anything about pricing, monetization, or business model.

• Not evidenced: Whether the platform charges for access, subscriptions, or uses advertising; whether it’s free to use or premium.
• Inferred: If it's a social platform with influencer tracking, it may rely on user engagement or data-driven monetization, but this is speculative without evidence.

The description states: “Built with (author-declared): ai”

• Claim: The product uses AI in its development.
• Inferred: AI might be used for content filtering, influencer ranking, or recommendation algorithms.
• Not evidenced: What kind of AI is used, how it’s implemented, or whether the platform is functional beyond a prototype.

The description states: “This project was submitted to the OpenAI 2026 hackathon on Devpost.”

• Claim: The product is a hackathon submission.
• Inferred: It is likely early-stage, possibly non-functional or a proof-of-concept.
• Not evidenced: Any user base, customer feedback, revenue, or product maturity beyond the hackathon.

The description does not mention any competitors or market context.

• Not evidenced: Whether there are existing platforms for influencer-driven stock recommendations or investor tracking.
• Inferred: If the platform is meant to be a GitHub-like tool for investors, it may compete with platforms like Seeking Alpha, Finviz, or social investing apps, but this is speculative without evidence.

• Risk: The project is described only as a hackathon submission. No evidence of traction, product-market fit, or commercial viability.
• Open Question: The tagline implies a focus on “garbage stocks” and influencer marketing — a potentially high-risk area with regulatory and ethical concerns.
• Open Question: The lack of any user data, revenue model, or customer feedback makes it difficult to assess the product’s real-world relevance.

1. What is the actual functionality of the platform beyond the hackathon prototype?
2. How does the platform verify or validate influencer recommendations?
3. Are there any existing users or early adopters?
4. What is the long-term vision for monetization and scalability?
5. How does the AI component work, and what data is it trained on?