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Readers' Verdict
Writers—72 diverse AI personas ready to critique your work
Delivering structural and reader-response feedback, Readers' Verdict sits as a diagnostic layer before critique partners, beta readers, or editors. The manuscript goes to a panel of up to six readers drawn from a pool of 72 distinct AI reader personas across 12 genres. Each reader reviews independently first, then the panel deliberates in a second pass, so authors get a range of reader reactions rather than a single flattened opinion — closer to a beta-reader panel than any editing software.
When I was getting my debut novel BITS ready for my first-readers, I ran into the same wall every writer does: feedback is either too expensive, too slow, too vague, or too kind to be useful. Critique partners are generous with their time but limited in number. Professional editors are excellent but costly — an avenue best reserved for final touches. Beta readers mean well, but six people reading the same book rarely agree on what's actually wrong with it — or they all tell you what you want to hear.
I'd spent years in software development before I spent years writing fiction. That need is what pulled the two together, and I started building the tool I wished existed.
About Readers' Verdict on Product Hunt
“Writers—72 diverse AI personas ready to critique your work”
Readers' Verdict was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #152 on the daily leaderboard. Delivering structural and reader-response feedback, Readers' Verdict sits as a diagnostic layer before critique partners, beta readers, or editors. The manuscript goes to a panel of up to six readers drawn from a pool of 72 distinct AI reader personas across 12 genres. Each reader reviews independently first, then the panel deliberates in a second pass, so authors get a range of reader reactions rather than a single flattened opinion — closer to a beta-reader panel than any editing software.
On the analytics side, Readers' Verdict competes within Productivity, Writing and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Readers' Verdict performed against the three products that launched closest to it on the same day.
Who hunted Readers' Verdict?
Readers' Verdict was hunted by C.J. Kichuk. 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 Readers' Verdict including community comment highlights and product details, visit the product overview.
C.J. Kichuk