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oidlabs-com
Lexoid
Python2025–2025
oidlabs-com / Lexoid

Lexoid

The open-source universal adapter for LLMs. Turn messy real-world data into clean, agent-ready context.

2Distinct people
3Mentions
0Explicit recommenders
109GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The open-source universal adapter for LLMs. Turn messy real-world data into clean, agent-ready context.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week3 dated mentions

Observed mentions: 2025-01-11 17:08:39 UTC to 2025-04-03 02:06:56 UTC. Weeks start Monday, UTC.

0122025-01-06 00:00:00 UTC to 2025-01-13 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJan 62025-01-13 00:00:00 UTC to 2025-01-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-20 00:00:00 UTC to 2025-01-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-27 00:00:00 UTC to 2025-02-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-03 00:00:00 UTC to 2025-02-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-10 00:00:00 UTC to 2025-02-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-17 00:00:00 UTC to 2025-02-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 172025-02-24 00:00:00 UTC to 2025-03-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-03 00:00:00 UTC to 2025-03-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-10 00:00:00 UTC to 2025-03-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-17 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-31 00:00:00 UTC to 2025-04-07 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 31

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 62025-01-06 00:00:00 UTC2025-01-13 00:00:00 UTC211
Jan 132025-01-13 00:00:00 UTC2025-01-20 00:00:00 UTC000
Jan 202025-01-20 00:00:00 UTC2025-01-27 00:00:00 UTC000
Jan 272025-01-27 00:00:00 UTC2025-02-03 00:00:00 UTC000
Feb 32025-02-03 00:00:00 UTC2025-02-10 00:00:00 UTC000
Feb 102025-02-10 00:00:00 UTC2025-02-17 00:00:00 UTC000
Feb 172025-02-17 00:00:00 UTC2025-02-24 00:00:00 UTC000
Feb 242025-02-24 00:00:00 UTC2025-03-03 00:00:00 UTC000
Mar 32025-03-03 00:00:00 UTC2025-03-10 00:00:00 UTC000
Mar 102025-03-10 00:00:00 UTC2025-03-17 00:00:00 UTC000
Mar 172025-03-17 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-31 00:00:00 UTC000
Mar 312025-03-31 00:00:00 UTC2025-04-07 00:00:00 UTC110

What Hacker News says

3 sources
dilith·Jan 11, 2025Submission

Show HN: Lexoid – A Library for LLM-Based and Non-LLM-Based Document Parsing

Why we built Lexoid: 1. Recent advancements in LLMs make them incredibly powerful for extracting meaning from unstructured documents. We wanted to utilize these different LLMs through a single library. 2. Static (a.k.a. non-LLM-based) parsing libraries like PyMuPDF work fast and accurately for simple documents, but often their licenses aren’t as permissive as we’d like. 3. We wanted a single library that could integrate both static and LLM-based approaches in a seamless and efficient way. Key Features: - Unified Parsing: Use either static parsers or LLM-based ones, depending on your needs. - Auto-routing Mode: Pages are analyzed independently—faster static parsers handle straightforward pages, while LLMs process pages requiring deeper understanding. Why we think it’s useful: Static parsers are fast but struggle with complex, unstructured
Read the rest
data. LLMs, on the other hand, offer incredible accuracy but can be expensive and slow. Lexoid lets you use the best tool for the job — automatically if needed.
4 points · Open discussion

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