Resonance

Your personalized, AI-powered research soundboard, centralizing papers across the web while providing streamlined frameworks for synthesis, analysis, and development of ideas.

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Inspiration

Novel research is fundamental to societal, technological, and economic development on a global scale. Unfortunately, research papers are often highly decentralized, and there exist a scarcity of tools for consolidating and interacting deeply with existing research. A quick web-based search often only reveals highly cited, public research, often sweeping intriguing but underviewed research aside.

Whether it’s researchers looking for more comprehensive topical literature reviews, VCs looking for immediate, actionable areas of R&D investment, or anyone interested in deeply interacting with an idea of interest, Resonance streamlines the process of finding any and all intriguing research with the power of agentic and non-agentic AI.

What it does

Whether it’s researchers looking for more comprehensive topical literature reviews, VCs looking for immediate, actionable areas of R&D investment, or anyone interested in deeply interacting with an idea of interest, Resonance streamlines the process of finding any and all intriguing research with the power of agentic and non-agentic AI.

Users can search for a topic of interest in keyword or paragraph form. Resonance then scrapes the web, with the power of Browserbase and available APIs, for recent papers from a selection of arXiv, bioRxiv, OpenAlex, Semantic Scholar, Google Scholar, and Google search which match your needs. Following intelligent filtering, key papers of research are selected and added to the user’s query dashboard. Our agentic system then reads through the full text of each paper to rate the level of topicality with the user’s request, flagging papers of special interest. The user can navigate to the research paper, or converse with another agent about the paper and its relevance to their needs.

We also have a custom mindmap, where your top researched ideas are dynamically and graphically represented, connected by strands of similarity, so users can effectively build upon previous research ideas, identifying key trends or underexplored areas.

There’s more! Resonance can be connected to your phone via Poke, so rather than logging in via a web-based server, one can equivalently text the Poke agent their interests and specifications. Poke then automatically connects to the user’s dashboard, pursuing and reporting the relevant queries.

How we built it

The project backend was built in python, with the frontend in HTML/CSS/Javascript. The web-scraping algorithm utilized APIs of various research databases, utilizing Browserbase Stagehand significantly to select relevant sources and navigate to the full-text for text-scraping. Poke was key in connecting the user's messaging platform directly with the research harness, for quick results via text!

Challenges we ran into

Integrating the various APIs of the research databases, and especially navigating and scraping the fulltext via Browserbase Stagehand, was surprisingly difficult but rewarding. Other significant challenges involved designing the intricate AI stack for maximum result utility (diagrammed in slideshow), as well as effectively streamlining Poke to connect to the research harness and drive the integration process with mobile.

Accomplishments that we're proud of

We are excited to have created an AI-powered application with a real impact -- making interaction with research more accessible by centralizing research databases and designing numerous ways users can seamlessly interact with research and build upon previous ideas.

What's next for Resonance

The ultimate goal is for the world of research to be your soundboard with Resonance, the AI-integrated system for finding, filtering, and building upon global research.

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