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econ-ai-detector

Open detector of AI-generated text in economics working papers (TF-IDF LR + DistilRoBERTa ensemble from the pangram-nber project)

Details

External ID
1362994822
Source
GITHUB
Company
—
Product
econ-ai-detector
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
—
Fetched at
Sept. 13, 2026, 5:48 a.m.
Updated at
Sept. 13, 2026, 5:48 a.m.

Enrichment

Theme
algorithmic trading bots and platforms
Vertical
Education
Function
Analytics & BI
Audience
Prosumer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
ai-generated text detector for economics research papers
Manually corrected
False

Could you build this?

Partial Wrapping existing open-source models like DistilRoBERTa with TF-IDF and Logistic Regression is easy, but assembling and labeling a representative domain-specific dataset of economics preprints and AI variants requires specialized data collection and curation.

What it would actually take: The architecture requires Python/FastAPI, Hugging Face Transformers, and scikit-learn. The hard part is curating a verified, domain-specific evaluation and training corpus (e.g., matching NBER papers with counterfactual LLM rewrites) to calibrate classifier thresholds and minimize false positives on academic text. A practitioner needs knowledge of NLP fine-tuning and academic economics literature datasets.

Competitors

Other products that read as similar to this one — 1486 launches clear the similarity bar, closest 8 shown.

Attention rank: #1092 of 1487 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

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