We had AI write a wiki from 45k Enron emails, every fact cited
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HN · launched Oct 23, 2026 · 70 upvotes (top 16%) · 0 views
Niche: digital history and reference archives · 150 launches, 6 in the last 7 days ▼ -57% · Explore this niche →
Category and tags
- Horizontal
- Content generation
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 150 launches in digital history and reference archives →
Could you build this?
Yes Building a cited wiki from the public Enron email corpus is a retrieval and LLM extraction pipeline with a static site front end, all standard techniques.
Discussion
20 comments analyzed.
Concerns raised: LLMs ignore dataset boundaries and mix in outside knowledge, One incorrect fact could be very damaging and is hard to verify, Some quoted sentences in the extracted facts could not be found in the source messages
Feature requests: Strip outside facts or enforce instructions to answer only from the dataset, Make it easy to run the tool on other email corpora
Competitors
Other products that read as similar to this one : 79 launches clear the similarity bar, closest 8 shown.
Attention rank: #16 of 80 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 356 days after the earliest competitor.
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