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PJQ
See how an audience really received any YouTube video
PJQ reads the comments under any YouTube video and shows how the audience truly received it: sentiment, support vs disagreement, and bot & spam filtering. Public Judgment Quotient.
Hey Product Hunt 👋
Likes and view counts tell you a video was *loud* — not whether the audience
agreed, pushed back, or just showed up to argue. PJQ reads the comments and
answers that.
It sorts every comment into 7 stances (real support, disagreement, neutral,
off-topic, thin hype, bots/spam, and "own-agenda" shills) and returns one
verdict: a net-mood score + a controversy index — computed strictly from
substantive comments, so a bot wave or a fan-noise flood can't fake a
90%-positive reading.
The fun engineering bit: v1 ran every comment through an LLM — slow, expensive,
single point of failure. I distilled it into a small fine-tuned multilingual
model exported to ONNX that runs on a cheap CPU box. Deterministic, no API bill.
Full write-up: https://dev.to/maksim_g_5e9b4b7a...
There's a REST API and an MCP endpoint too, so AI clients can pull verdicts
directly. First analysis is free: pjq.life
Would love your feedback — what would you point it at first, and what other
signals should an audience "verdict" include?
About PJQ on Product Hunt
“See how an audience really received any YouTube video”
PJQ was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. PJQ reads the comments under any YouTube video and shows how the audience truly received it: sentiment, support vs disagreement, and bot & spam filtering. Public Judgment Quotient.
On the analytics side, PJQ competes within Social Media, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how PJQ performed against the three products that launched closest to it on the same day.
Who hunted PJQ?
PJQ was hunted by Maksim Ovsienko. 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 PJQ including community comment highlights and product details, visit the product overview.
Maksim Ovsienko