𝘐𝘵’𝘴 𝘤𝘰𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘦𝘥 𝘵𝘰 𝘩𝘦𝘭𝘱 𝘵𝘳𝘢𝘯𝘴𝘭𝘢𝘵𝘦 𝘪𝘯𝘥𝘶𝘴𝘵𝘳𝘺 𝘯𝘦𝘸𝘴 𝘪𝘯𝘵𝘰 𝘪𝘯𝘴𝘪𝘨𝘩𝘵

The pace of change across the research landscape keeps accelerating. But making sense of what’s happening takes time and energy. That’s why I’ve built ScholarlyTrendSpotterGPT. It works best as a thought partner and efficiency tool to help you make sense of trends.

How is it different?

• 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗰𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 – Unlike a general-purpose assistant, this customGPT has industry-specific contextual knowledge. It has a sector-specific understanding of market players, the dynamics between them and the assets circulating within the scholarly ecosystem.
• 𝗕𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝘁𝗿𝗲𝗻𝗱 𝘀𝗽𝗼𝘁𝘁𝗶𝗻𝗴 – It iterates through an array of lenses and frameworks to analyse your input and optimise for trend spotting.

(and like all customGPTs the content of your chat will be private between you and chatGPT)

Give it a go!

This is V1 of ScholarlyTrendSpotter. I’m releasing it to get feedback and iterate.

I’d love to hear what works (and what doesn’t) and make it better.

When using, bear in mind: ChatGPT can make mistakes. Always verify important info and avoid sharing sensitive data