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👋 Hey Product Hunt!
I’m Sina, founder of Chirpz AI — a tool I built as a researcher who got tired of spending hours digging for the right papers. You know the drill: you have an idea, open Google Scholar or ArXiv, type a dozen variations of your query, and end up buried under irrelevant results.
That’s the gap Chirpz closes — it’s the AI that bridges your thoughts to the unknown citations that fit best. Instead of you hopping across tabs, Chirpz brings the discovery to you. It understands your writing and finds the perfect paper, all inside a single, focused, and magical environment.
What it does:
✍️ Write or import into the Chirpz notebook—a minimal editor built for focused work.
🪄 Type /Cite — your magic button for instant discovery. It reads your context and scours research databases.
👀 Get a ranked list of most relevant papers with relevance scores, ready to review at a glance.
🔗 Insert your citation: auto-insert the best match or choose manually—all without leaving your editor.
Who it’s for:
🎓 PhD students & researchers writing “Related Work” or exploring new topics.
📝 Grad students racing to find foundational papers for projects.
🧑💻 R&D teams, engineers, and data scientists exploring the academic roots of new tech.
🧠 Curious minds who simply want to know where ideas come from.
🚀 Try it out here: https://chirpz.ai
I’ll be here all day to answer questions and hear your feedback — what topics are you exploring, and what would make Chirpz even better?
Thanks for checking us out 🙏
— Sina
Congrats Sina! Chirpz hits a real pain point. Context-aware /Cite inside a focused notebook to surface ranked papers and insert citations without tab hopping sounds dreamy for Related Work sprints. How broad are the sources at launch, and can we add our own libraries?
Very useful, great idea. What scholarly sources does it use for its search?
Smart use case for AI. Citation hunting is one of those tedious tasks that eats hours.
How does it handle more obscure sources? Like if someone's researching niche B2B topics or older industry publications that might not be well-indexed?