A 0.3B model that redacts PII in all 24 EU languages offline
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HN · launched May 13, 2026 · 6 upvotes (top 69%) · 0 views
Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Compliance & governance
- B2B
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 191 launches in large language models →
Could you build this?
No Training or fine-tuning a multilingual 0.3B parameter transformer to detect sensitive GDPR and AI Act entities across 24 official EU languages requires extensive ML research and curated multi-language training datasets.
What it would actually take: The project relies on training an XLM-RoBERTa or DeBERTa-style encoder architecture specifically optimized for token classification. The core bottleneck is generating, curating, and validating annotated synthetic and real datasets covering legal, medical, and demographic PII across 24 distinct languages while handling cross-lingual transfer without catastrophic forgetting. This necessitates ML engineering expertise, GPU clusters for training, and deep data curation capabilities.
Discussion
3 comments analyzed.
Competitors
Other products that read as similar to this one : 1591 launches clear the similarity bar, closest 8 shown.
Attention rank: #1114 of 1592 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 195 days after the earliest competitor.
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- DragomanD · hn · 2026-09-30 · 9 upvotes · similarity 0.52
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