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FrameFinder
Find framing, bias, and weak evidence in writing
FrameFinder helps students analyze persuasive writing for framing patterns, loaded language, weak evidence, and missing perspectives. Unlike generic AI writing tools, it is built around argument analysis for AP Lang, AP Gov, Debate, and Model UN students who need to understand how a text shapes opinion — not just summarize it.
Hey Product Hunt — I’m launching FrameFinder today.
I built this because students are constantly asked to analyze articles, speeches, essays, and political writing, but most tools either summarize the text or rewrite it. They do not really help you understand how the argument is framed.
FrameFinder looks for things like loaded language, weak evidence, missing perspectives, and framing patterns, then turns that into a clearer breakdown students can use for AP Lang, AP Gov, Debate, and Model UN.
The goal is not to replace thinking. It is to make the thinking process easier to start.
I would love feedback on:
Whether the analysis feels useful or too generic
What other classes or use cases this could fit
Whether the landing page clearly explains the product
About FrameFinder on Product Hunt
“Find framing, bias, and weak evidence in writing”
FrameFinder was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #94 on the daily leaderboard. FrameFinder helps students analyze persuasive writing for framing patterns, loaded language, weak evidence, and missing perspectives. Unlike generic AI writing tools, it is built around argument analysis for AP Lang, AP Gov, Debate, and Model UN students who need to understand how a text shapes opinion — not just summarize it.
On the analytics side, FrameFinder competes within Writing, Education and Artificial Intelligence — topics that collectively have 611.1k followers on Product Hunt. The dashboard above tracks how FrameFinder performed against the three products that launched closest to it on the same day.
Who hunted FrameFinder?
FrameFinder was hunted by aditya C. 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 FrameFinder including community comment highlights and product details, visit the product overview.
aditya C