Spam classifier in Go using Naive Bayes
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HN · launched Nov 8, 2025 · 29 upvotes (top 25%) · 0 views
Niche: specialized algorithms and computing libraries · 230 launches, 4 in the last 7 days ▼ -73% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- AI feature
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 230 launches in specialized algorithms and computing libraries →
Could you build this?
Yes Implementing a classic Naive Bayes text classifier in Go is a well-documented textbook machine learning task that AI assistants can generate entirely.
Discussion
8 comments analyzed.
Competitors mentioned: Naïve Bayes classifier (Perl implementation), frequentist A/B testing tools
Concerns raised: LLM-generated spam will defeat Bayesian classification, unclear licensing terms
Feature requests: add vectorization support
Competitors
Other products that read as similar to this one : 336 launches clear the similarity bar, closest 8 shown.
Attention rank: #68 of 337 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Looks like the first mover among its competitors.
- outis · github · 2026-09-30 · 25 upvotes · similarity 0.55
- spamscam · github · 2026-11-09 · 181 upvotes · similarity 0.52
- indecis · github · 2026-09-28 · 56 upvotes · similarity 0.48
- prism · github · 2026-09-11 · 8 upvotes · similarity 0.44
- A Claude Code–driven tutor for learning algorithms in Go · hn · 2026-04-14 · 5 upvotes · similarity 0.43
- DDoS detection in 500 lines of Python (MIT, no cloud, no account) · hn · 2026-05-26 · 9 upvotes · similarity 0.43
- The fastest JSON parser for Go · hn · 2026-07-31 · 7 upvotes · similarity 0.41
- BinarySoap · github · 2026-10-10 · 32 upvotes · similarity 0.41
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