Accurately classify *any* job title with AI. Categorize by field (sales, finance, I.T...) and position (executive, management, assistant...) so you can prioritize the ones you're interested in.
Accurately classify any job titles
Accurately classify *any* job title with AI. Categorize by field (sales, finance, I.T...) and position (executive, management, assistant...) so you can prioritize the ones you're interested in.
Fantastic idea. I would be very interested when it expands into the area of non profits and community organisations. In these areas, where I do a lot of work, I am always looking for alternative names for such boring titles such as President. As an example, I often suggest Grand Pooh Bah. Treasurers can be Bean Counters etc. It's about having fun with titles so they are appealing and different. Hope this sparks an idea. Also, your link to https://blog.looti.io/posts/trai... is not working.
Very cool. Love how focused this is. It's definitely a pain-point when using mailchimp or managing email lists. Congrats on the launch 🚀
Hey hunters, Let's talk about job titles Who's never spent SOME time putting up a spreadsheet formula as long as Hamlet or complex Hubspot filters to prioritize his leads (with poor results)? I did ! My name is Louis and I built JobtitlesAI to do just that. Simple👇 **You give**: a job title **It gives back**: - a field (communication, marketing, sales, IT...) - a position (executive, assistant, manager, intern...) We take care of: the language, plurals, genres, abbreviations, synonyms, and seman
@dot_louis congratulations on the launch, the product looks fab 🚀
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.