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iamhumans
iamhumans — teach a model to talk like a person
It teaches a language model how to talk like a person. Not how to sound like one — that part's easy, and it's what most failures already do. This works on the shape underneath: when to be short, when to sit with something, when to push back, when the right reply is just "oh".
Iamhumans is measured on a blind-graded 30-case sample — aggregate 82.7/100, 27/30 PASS, 0 hard-fails (above), plus schema dry-run, lint, and a Mode-A regression pass in which the one miss was a door-reopener that has since been fixed. It has not yet been re-scored on the full 429-case oracle harness, and the sample keeps its mixed edges — two de-AI replies and one register pivot scored below the bar, and none of it is hidden.
The same model lineage authored the skill, the cases, the replies, and served as oracle judge — a lineage-level contamination named from the start. The oracle runs in a separate context with only the prompt, but it shares the training; weight the numbers accordingly.
Book notes are distilled from training-time exposure, not real-time reading; every claim is marked as paraphrase, with no fabricated page numbers.
About iamhumans on Product Hunt
“iamhumans — teach a model to talk like a person”
iamhumans was submitted on Product Hunt and earned 6 upvotes and 7 comments, placing #160 on the daily leaderboard. It teaches a language model how to talk like a person. Not how to sound like one — that part's easy, and it's what most failures already do. This works on the shape underneath: when to be short, when to sit with something, when to push back, when the right reply is just "oh".
On the analytics side, iamhumans competes within Productivity, Developer Tools, GitHub, Tech and Vercel Day — topics that collectively have 1.8M followers on Product Hunt. The dashboard above tracks how iamhumans performed against the three products that launched closest to it on the same day.
Who hunted iamhumans?
iamhumans was hunted by Hoài Nhớ. 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 iamhumans including community comment highlights and product details, visit the product overview.
Hoài Nhớ