Chirpz agent is the smartest way to find, prioritize, read, and cite academic papers. It understands your context and searches 280M+ papers across major academic databases. It ranks the most relevant work, generates instant summaries, and provides trusted citations — all in one place.
Congrats on launching 🎉
Does Chirpz integrate with Notion or any note-taking tools?
Chirpz
Thanks@mikhail_prasolov 🙌
Chirpz agent citation tool includes a built-in, Notion-like editor where you can write and draft while discovering literature at the same time. Just hit on @cite button to activate this tool and pull in relevant papers as you write.
Agnes AI
I wish i could have used Chirpz in my university days... how frequently will you update the database though?
Chirpz
@cruise_chen Haha, we hear that a lot 😄
The databases Chirpz connects to are live and continuously updated as new papers are published, so discovery stays current.
Congrats on the launch! Tackling literature discovery from a context-first angle instead of keyword guessing feels like a big win for anyone who’s dealt with reviewer comments saying “you missed X.” How Chirpz behaves when research spans multiple disciplines, does it surface cross-domain papers that researchers might not think to look for on their own?
Chirpz
@vik_sh Thank you! And yes — that’s exactly one of our core focuses.
Because Chirpz Agent understands context rather than relying on keywords and has access to all sources at once, it naturally surfaces relevant cross-domain papers that researchers often miss — especially the kind reviewers expect you to be aware of but wouldn’t think to search for explicitly.
Interesting - on-device draft analysis + ranking by meaning is 🔥How do you handle paywalled or restricted journal content?
Chirpz
@igorsorokinua Thanks! 🔥
For paywalled papers, Chirpz Agent reads the available metadata and abstracts, and in some cases the indexed full text when accessible (even if the PDF isn’t). PDF previews are only available for open-access papers.
This looks really useful, especially with the amount of academic content out there. During early testing, which part helped users the most: finding the right papers, understanding them quickly, or organizing and citing them later?
Chirpz
@yash_salvi Great question! In early testing, finding the right papers delivered the biggest “aha” moment, followed closely by understanding them quickly via AI Snapshots — with organizing and citing rounding it out as a strong third.
@sina_tayebati That makes a lot of sense. The “right paper” problem is so painful that everything else feels secondary until that’s solved. Did you notice whether users trusted the rankings immediately, or did they want to understand why certain papers were surfaced?
Cool project! When I read your description, I immediately thought that soon all AIs will start evaluating the authority of sources instead of taking everything indiscriminately. I’m just curious which algorithms will form the basis of this mechanism.
The idea is great, but if it involves copyright issues, how should we handle it