Nicheloom

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Slop or not

can you tell AI writing from human in everyday contexts?

Details

External ID
47357745
Source
HN
Company
—
Product
Slop or not
Website domain
slop-or-not.space
Launched
March 12, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.7312423124231242
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I’ve been building a crowd-sourced AI detection benchmark. Two responses to the same prompt — one from a real human (pre-2022, provably pre prevalence of AI slop on the internet), one generated by AI. You pick the slop. Three wrong and you’re out.The dataset: 16K human posts from Reddit, Hacker News, and Yelp, each paired with AI generations from 6 models across two providers (Anthropic and OpenAI) at three capability tiers. Same prompt, length-matched, no adversarial coaching — just the model’s natural voice with platform context. Every vote is logged with model, tier, source, response time, and position.Early findings from testing: Reddit posts are easy to spot (humans are too casual for AI to mimic), HN is significantly harder.I'll be releasing the full dataset on HuggingFace and I'll publish a paper if I can get enough data via this crowdsourced study.If you play the HN-only mode, you’re helping calibrate how detectable AI is on here specifically.Would love feedback on the pairs — are any trivially obvious? Are some genuinely hard?

Enrichment

Theme
AI text humanizers and detectors
Vertical
Horizontal
Function
Observability & eval
Audience
B2C
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
ai writing detection tool
Manually corrected
False

Could you build this?

Yes A Next.js trivia-style guessing game comparing two text snippets stored in a database is a textbook vibe-coding project.

Discussion

20 comments analyzed.

Concerns raised: AI detection game helps train models to be less detectable, Success rates lower than expected (90%), missing AI-generated content elsewhere, UX quality issues with the interface, Difficulty distinguishing between human and AI at higher capability levels, Dataset quality concerns - obvious tells need filtering for serious research

Feature requests: Toggle option to choose human-written or AI-generated detection mode, Clearer visual feedback - green/red card for correct/wrong answers, Publish complete dataset with all questions, answers, user metadata, and timing

Competitors

Other products that read as similar to this one — 131 launches clear the similarity bar, closest 8 shown.

Attention rank: #45 of 132 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 133 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.