We just built something new for the R3ciprocity Project, and I think it may change how people do science in the future.
I am calling it the TikTok of science.
Here is the idea.
Instead of waiting ten years to learn if your research idea has impact, you play a simple game. The game shows you two real research papers, and you choose which one you think has more citations. You repeat this again and again.
From this tiny action, the tool does three things:
1. It learns your research preferences.
The game picks up on the patterns in what you choose. It starts to understand the topics, styles, and ideas you find interesting.
2. It creates a brand-new abstract based on your preferences.
Not copied. Not mixed. A fully original abstract that reflects the kind of ideas you care about and want to explore.
3. It forecasts which research ideas may work in the future.
You get early signals about your own taste for high-impact ideas instead of waiting a decade for citation counts to tell you if an idea “matters.”
You get feedback right away — not in 5 years, not in 10 years.
In days, not years.
This is not a replacement for careful, slow, honest science.
It is a tool to help you see what kinds of ideas pull your attention and what kind of work might have traction in the future.
It is playful.
It is fast.
It is strangely revealing.
And yes — it might just change how new researchers find the ideas they want to work on.
Take care.
