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Thesisai
Redefining academic excellence with structured AI synthesis.
ThesisAI is an AI thesis assistant built on one promise: every source it cites is real, and every number it writes traces back to your data or a citation. It finds and verifies literature live, drafts chapters in your voice with page-anchored citations, runs real statistics on your own data, and reviews each chapter like a supervisor would. Export to PDF, Word, LaTeX or defense slides. Citation checks never count against your plan.
Hi Product Hunt, I'm Daniel, the maker of ThesisAI.
About 700 students wrote theses and dissertations with the first version of ThesisAI. Their biggest worry about AI writing tools was always the same: you can't trust what they cite. Invented papers, wrong page numbers, statistics from nowhere. In a thesis, one of those can sink your defense.
So ThesisAI 2.0, live today, is rebuilt around one rule: it never cites a source that doesn't exist, and never writes a number it can't trace.
- Sources are real. It searches Semantic Scholar, arXiv and Google Scholar live, and confirms every source against CrossRef and OpenAlex. Where the full text is open, your draft cites the actual page.
- Numbers are computed, not generated. T-tests, ANOVA, regression, reliability and more run on your own data. A chapter that states a number it can't trace to your results or a source doesn't pass.
- Review that reads like a supervisor. A Critic reviews each chapter from three angles and takes your supervisor's feedback into account. A whole-thesis review then checks that your conclusion actually answers your question.
- It fits how you already work. Bring your Zotero, Mendeley or EndNote library, write in your own voice, and export to PDF, Word, LaTeX or defense slides in APA, MLA, IEEE, Chicago or Harvard.
It's a writing partner, not a ghostwriter. Your supervisor and your institution's rules come first, and every check is there to help you defend each line.
Plans start at $19 a month, or there's a one-time Thesis Pass for six months. Citation checks never count against your plan.
I'd love your honest feedback, especially if you've written or supervised a thesis: what would make you trust an AI tool with academic work?
About Thesisai on Product Hunt
“Redefining academic excellence with structured AI synthesis.”
Thesisai was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #153 on the daily leaderboard. ThesisAI is an AI thesis assistant built on one promise: every source it cites is real, and every number it writes traces back to your data or a citation. It finds and verifies literature live, drafts chapters in your voice with page-anchored citations, runs real statistics on your own data, and reviews each chapter like a supervisor would. Export to PDF, Word, LaTeX or defense slides. Citation checks never count against your plan.
On the analytics side, Thesisai competes within Education — topics that collectively have 79.4k followers on Product Hunt. The dashboard above tracks how Thesisai performed against the three products that launched closest to it on the same day.
Who hunted Thesisai?
Thesisai was hunted by Daniel Boadzie. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Thesisai including community comment highlights and product details, visit the product overview.
Daniel Boadzie