Example output
Subject: A faster way to get discovered Hi Maria, Founders tell us discovery is their #1 headache. BestAIFor puts your tool in front of people actively searching for exactly what you built — categorized, reviewed, and searchable. Want me to set up your listing this week? It’s free to start. Cheers, Dan
Write a friendly cold email under 90 words to a SaaS founder offering an AI tools directory listing. Clear CTA.
Example output
SELECT user_id, SUM(total) AS spend FROM orders WHERE created_at >= NOW() - INTERVAL '30 days' GROUP BY user_id ORDER BY spend DESC LIMIT 5;
Given a `orders(id, user_id, total, created_at)` table, write SQL for the top 5 users by total spend in the last 30 days.
Example output
We just shipped something I’m proud of. An AI tools directory — categorized, reviewed, searchable. No more 40-tab research spirals. Type what you need. Find the tool. Move on. The best tool is the one you can actually find. →
Rewrite this into a punchy LinkedIn post with short lines and one clear takeaway: "We shipped a new AI tools directory."
Example output
Imagine every word is a tiny dot in a huge room. Words that mean similar things — like "cat" and "kitten" — stand close together. Words that are different — like "cat" and "rocket" — stand far apart. A computer places every word in this room by its meaning. Then, to find things that are alike, it just looks for dots that are near each other. That’s an embedding!
Explain how vector embeddings work, like I’m 5 years old, in under 80 words.
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