Product Lens

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  Product Lens

Inspiration

As a SaaS owner, I want to keep an eye on competitors without wasting time. I want to know if they have new products or features, changed pricing, started hiring key positions, and if they are actively investing in ad campaigns.

What it does

User adds a list of competitors (name and URL) and the web app triggers 3 agents to check price & features (analyzing their pricing page), promotions (on Linkedin Ad Library), and hirings (analyzing their careers page).

How we built it

We used Gradient AI for the Agentic AI, Python for the backend, and TypeScript for the front end.

Challenges we ran into

Gradient AI doesn't allow to browse the internet, or at least we couldn't find a way to do it, so we had to build the knowledge base of the competitors. We also had issues with Gradient AI hallucinating with the information we were providing, getting issues with blockage CDNs (e.g. CloudFlare) and not really reading the information from the URLs.

Accomplishments that we're proud of

We made the web app within 24 hours! First time hackathon!

What we learned

Lots of discrepancies of Gradient AI's models and ChatGPT's models.

What's next for Product Lens

People: linkedin team changes/hires, alerts key hires, and dept expansion checks.

Promotion (external data): SEO traffic data, subscribe to emails, AI visibility.

Price (pricing page): monthly automated snapshots and track changes/trends (category).

Products: current products/services, new launches or discontinued items, and top promoted features.

Positioning: value proposition changes, homepage messaging changes, and target customer shifts.

Built With

• python
• typescript