detectorscope
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
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GITHUB · launched Oct 24, 2026 · 199 upvotes (top 8%) · 0 views
Niche: ai content detection software · 88 launches, 9 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Observability & eval
- Developer
- AI-native
- Hobby / open-source project
- ai-text-detection
- explainable-ai
- interpretability
- mechanistic-interpretability
- sparse-autoencoders
Visit website ↗ Source listing ↗
Could you build this?
No The product is a research method for mechanistically interpretable AI text detectors built on sparse autoencoders trained on LLM residual streams, which requires ML research expertise and significant GPU compute.
What it would actually take: Reproducing this needs training sparse autoencoders on a fine-tuned transformer's activations, running auto-interpretation labeling, and validating fidelity and out-of-distribution performance. That requires ML research skills, interpretability tooling, GPU resources, and labeled evaluation data.
Competitors
Other products that read as similar to this one : 3493 launches clear the similarity bar, closest 8 shown.
Attention rank: #245 of 3494 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 360 days after the earliest competitor.
- text-humanizer · github · 2026-10-03 · 104 upvotes · similarity 0.64
- econ-ai-detector · github · 2026-09-09 · 8 upvotes · similarity 0.62
- snifftest · github · 2026-09-17 · 27 upvotes · similarity 0.60
- AI text detector that never sees your text (runs 100% in-browser) · hn · 2026-10-24 · 7 upvotes · similarity 0.55
- A security scanner for AI Agent Skills · hn · 2026-04-10 · 5 upvotes · similarity 0.55
- hook-everything · github · 2026-11-03 · 18 upvotes · similarity 0.55
- chinese-guba-ai-detector · github · 2026-09-18 · 22 upvotes · similarity 0.54
- A zero-dependency auditor for decision records in AI-touched systems · hn · 2026-07-09 · 5 upvotes · similarity 0.54
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