Hi Product Hunt, Ramy here. During my PhD, every project started with a literature review: days screening abstracts, chasing citations that didn't quite say what people claimed. Later, working with R&D and innovation teams at some of the largest companies in the world, I saw the same bottleneck at industrial scale: six to eight weeks to build a technology landscape or company analysis before any decision could be made. AI made writing faster. It didn't make research more trustworthy. Fluent text and verified evidence look identical on the page. So we built Atlas by NotedSource around verification instead: - Every journal citation is checked against PubMed, OpenAlex, and CrossRef. If an identifier doesn't resolve to a real paper, the citation is dropped. - Clinical trials are checked against ClinicalTrials.gov, patents against the USPTO's PatentsView. - Web claims are checked against the actual text of the page they cite. If the source doesn't say it, the sentence is deleted, even if the claim happens to be true. - You approve the scope before research runs, the outline before writing starts, and the draft before it ships. When research can't answer a question, the report says so rather than papering over it. The goal isn't to replace researchers. It's to remove the repetitive weeks while producing reports you'd sign your name to. It's free to try: 4 reports a month, no credit card. My ask: run it on a topic you know deeply, because that's where verification either holds up or it doesn't. If it gets something wrong, tell me here in the comments. That's the fastest way we make it better. Thanks for checking it out!

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3d ago

love that you kept human sign-off at three checkpoints front and center, basically tells me you actually thought about the black box problem instead of just throwing ai at it and hoping for the best

2m ago

Atlas

Verified research reports in hours, not weeks

Verified research reports in hours, not weeks