naren87

6 ms·

1.
What we learned building a multi-agent PDF table extractor(unstract.com)
4 points by naren87 3mo ago|0 comments
2.
We Split PDF Table Extraction Across 6 Agents and a Codegen Step(unstract.com)
2 points by naren87 3mo ago|0 comments
3.
Show HN: We built Cursor, but for data transformations [Open Source](github.com)
2 points by naren87 5mo ago|0 comments
4.
Show HN: We built Cursor, but for data transformations (open source)(github.com)
1 points by naren87 5mo ago|0 comments
5.
Show HN: We built Cursor, but for data transformations (open source)(github.com)
5 points by naren87 6mo ago|0 comments
6.
Show HN: Visitran – Cursor for Data Transformations (open source)(github.com)
2 points by naren87 6mo ago|0 comments
7.
Why LLMs Are Not (Yet) the Silver Bullet for Unstructured Data Processing(unstract.com)
5 points by naren87 6mo ago|0 comments
8.
Unstract: Open-source platform to ship document extraction APIs in minutes(github.com)
1 points by naren87 6mo ago|0 comments
9.
PDF Hell: Why is extracting data still a nightmare?(unstract.com)
3 points by naren87 7mo ago|2 comments
10.
Vibe Coding vs. Vibe Engineering(mfbt.ai)
2 points by naren87 7mo ago|0 comments
11.
Why LLMs Are Not (Yet) the Silver Bullet for Unstructured Data Processing(unstract.com)
1 points by naren87 8mo ago|0 comments
12.
Unstract: Open-source platform to ship document extraction APIs/MCPs in minutes(github.com)
2 points by naren87 9mo ago|0 comments
13.
Unstract: Open-source platform to ship document extraction APIs in minutes(github.com)
1 points by naren87 9mo ago|0 comments
14.
Specification Grounding: The Missing Link in Vibe Coding(unstract.com)
3 points by naren87 10mo ago|0 comments
15.
Unstract: Open-source platform to ship document extraction APIs/MCPs in minutes(github.com)
2 points by naren87 11mo ago|0 comments
16.
by naren87 1y ago
Great benchmark! It highlights an important but often downstream problem. In real-world pipelines, the bigger issue comes before this: extracting tables from PDFs or scans without breaking their layout. Once the structure is lost (merged he
17.
Unstract: Open-source platform to ship document extraction APIs/MCPs in minutes(github.com)
1 points by naren87 1y ago|0 comments
18.
Unstract: Open-source platform to ship document extraction APIs/MCPs in minutes(github.com)
2 points by naren87 1y ago|0 comments
19.
The hard part of document AI isn't OCR – it's schema mapping(unstract.com)
2 points by naren87 1y ago|0 comments
20.
Unstract: Open-source platform to ship document extraction APIs in minutes(github.com)
3 points by naren87 1y ago|0 comments
21.
Rubberduck: Emulate OpenAI/Anthropic locally with caching and failure injection(github.com)
1 points by naren87 1y ago|0 comments
22.
Unstract: Open-source platform to ship document extraction APIs in minutes(github.com)
1 points by naren87 1y ago|0 comments
23.
PDF Hell: Why Is Extracting Data Still a Nightmare? (2024)(unstract.com)
3 points by naren87 1y ago|0 comments
24.
Show HN: Rubberduck – Open Source Tool to Emulate OpenAI/Anthropic APIs Locally(github.com)
6 points by naren87 1y ago|0 comments
25.
The Technical Reason LLMs Fail on Complex Unstructured Data(unstract.com)
1 points by naren87 1y ago|0 comments
26.
Specification Grounding: The Missing Link in Vibe Coding(unstract.com)
1 points by naren87 1y ago|0 comments
27.
Unstract: Open-source platform to ship document extraction APIs in minutes(github.com)
8 points by naren87 1y ago|1 comments
28.
Why PDF Hell Breaks RAG Workflows and What Works(unstract.com)
1 points by naren87 1y ago|0 comments
29.
Rubberduck: Emulate OpenAI/Anthropic locally with caching and failure injection(github.com)
8 points by naren87 1y ago|0 comments
30.
Why deterministic output from LLMs is nearly impossible(unstract.com)
26 points by naren87 1y ago|16 comments

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