Research papers pile up fast. Students need insights without triple-reading everything. Dankgpt solves this—you query multiple documents simultaneously using GPT models. Upload sources, then ask questions across your entire library.
A dashboard lets you navigate between research topics and documents. Study and explain functions break down dense material. Custom prompts tailor queries to whatever you're analyzing. There's also something called DankBanks (specifics unclear).
Here's the catch. The free plan runs on GPT-3.5-Turbo—despite marketing that emphasizes GPT-4o-mini capabilities. You're capped at 20 documents monthly. Limited to 3 DankBanks. Sharing? Disabled. Pretty restrictive for thesis work or classmate collaboration.
Paid plans exist in beta. Early bird pricing comes through direct email. The gap between free and paid appears significant, but actual costs remain unknown until you reach out.
Graduate students comparing sources for literature reviews might find this useful—for initial exploration, anyway. The real question: does the free tier offer enough functionality to justify adoption? Or is it just a taste meant to push paid access? Basic support comes with the free plan. Academics often need more than "basic" when dealing with research tools.
Dankgpt could save time. The limitations make it feel like half a solution, though—unless you're willing to pay.
