Find AI is an AI-powered search engine for tech companies and people.

We’ve been busy making the product better based on your feedback, and have a lot of improvements to share this week - along with a behind-the-scenes look of how we build AI.

In this newsletter:

• Average search times faster by 75%
• Product updates + LinkedIn data
• Cool searches this week
• How Find AI manages millions of OpenAI requests

Average search times faster by 75%

We recently used AI to group searches by topic. We found that about a quarter of searches were for a particular person or company. To address this, we optimized our system to speed up these queries.

Now, searching for specific people, like “Philip Thomas,” or specific companies, like “Oracle,” returns results in under one second.

Try it out →

Product updates this week

• 🆕You can now search a company by its domain. Try searching usefind.ai or
• ✨Improved our LinkedIn profile detection. Before, 19% of profiles for people had a LinkedIn profile. Now, 67% of pages link to the person’s LinkedIn.
• ✨ Rewrote all profile pages for companies and people. We wanted the pages to be easier to scan and more readable. So, we rewrote them all! Take a look at the page for Legalist to get an idea of the new style.
• ✨ Added some new icons to the app, including on searches with zero results
• 🛠️ Fixed a bug where clicking “👍” on a search result triggered the page to reload
• 🛠️ Fixed a bug where navigating to a new page sometime didn’t scroll to the top

Cool searches this week

• 🔓 Companies that are not SOC II compliant
• 🇬🇧AI companies in London
• 🗽Series A dev tools in New York

Run a free search →

How Find AI manages millions of OpenAI requests

Our friends at Velvet recently wrote an article about the AI infrastructure of Find AI. This behind-the-scenes article explores what goes into making millions of OpenAI requests, and our strategies to improve models:

Why Find AI logs OpenAI requests with Velvet

Find AI is an AI-powered search engine for companies and people. Their app makes millions of requests to OpenAI every week, and warehouses every single request using Velvet. In this post, we'll explore how the Find AI engineering team uses LLM request logs to optimize accuracy, manage costs, and compare models.

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