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Used by Researchers at Allen institute, Simons foundation, Yale and other top universities.. 🤗
Researchers are using AI to write their papers.
That AI is Bibby AI.
Not GPT-5. Not Claude Opus. Not whatever wrapper your institution just paid $50k for.
Bibby.
While the AI research community spent 2025 debating whether LLMs can handle scientific writing — actual scientists at actual top-tier institutions quietly started shipping papers with it. No press release. No hype cycle. Just results.
Here's what they figured out that most people haven't:
The bottleneck in research was never the ideas. It was never the experiments. It was the 3am writing sessions where good science goes to die in a Google Doc. Writer's block, LaTex Learning frustration, formatting issues, compiler errors.
Bibby is built specifically for that gap. Citation-aware. Argument-aware. Knows when to hedge, when to assert, and — critically — knows not to hallucinate your methods section.
The institutions adopting it aren't doing it because it's trendy. They're doing it because the researcher-hours it saves are going straight back into actual research.
This is what the adoption curve looks like before the thing becomes obvious.
→ https://trybibby.com/
Who else here is using AI in their research workflow? Drop it below 👇
Best comments will receive a discounted Bibby AI subscription with a chance to win a $100 grant for their research.
Researchers are using AI to write their papers.
That AI is Bibby AI.
Not GPT-5. Not Claude Opus. Not whatever wrapper your institution just paid $50k for.
Bibby.
While the AI research community spent 2025 debating whether LLMs can handle scientific writing — actual scientists at actual top-tier institutions quietly started shipping papers with it. No press release. No hype cycle. Just results.
Here's what they figured out that most people haven't:
The bottleneck in research was never the ideas. It was never the experiments. It was the 3am writing sessions where good science goes to die in a Google Doc. Writer's block, LaTex Learning frustration, formatting issues, compiler errors.
Bibby is built specifically for that gap. Citation-aware. Argument-aware. Knows when to hedge, when to assert, and — critically — knows not to hallucinate your methods section.
The institutions adopting it aren't doing it because it's trendy. They're doing it because the researcher-hours it saves are going straight back into actual research.
This is what the adoption curve looks like before the thing becomes obvious.
→ https://trybibby.com/
Who else here is using AI in their research workflow? Drop it below 👇
Best comments will receive a discounted Bibby AI subscription with a chance to win a $100 grant for their research.