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constantinum

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投稿

Simplicity, Agency, and Mastery

hgrsd.nl
3 ポイント·投稿者 constantinum·18 日前·0 コメント

Balsamiq Turns 18

e.customeriomail.com
2 ポイント·投稿者 constantinum·24 日前·0 コメント

NetNewsWire Status

inessential.com
4 ポイント·投稿者 constantinum·27 日前·0 コメント

Raspberry Pi profit surges as AI boom lifts demand

ft.com
30 ポイント·投稿者 constantinum·3 か月前·11 コメント

A Couple Million Lines of Haskell: Production Engineering at Mercury

blog.haskell.org
5 ポイント·投稿者 constantinum·3 か月前·0 コメント

Visitran: Agentic Pythonic data transformation platform(AGPL)

github.com
5 ポイント·投稿者 constantinum·4 か月前·0 コメント

A practical guide to observing the night sky for real skies and real equipment

stargazingbuddy.com
121 ポイント·投稿者 constantinum·5 か月前·21 コメント

FinePDFs: Liberating 3T of the finest tokens from PDFs

huggingface.co
2 ポイント·投稿者 constantinum·6 か月前·0 コメント

Sentry – No Marketing Mode

sentry.io
1 ポイント·投稿者 constantinum·8 か月前·1 コメント

Reducto Raises $108M to Shape the Future of AI Document Intelligence

reducto.ai
2 ポイント·投稿者 constantinum·9 か月前·0 コメント

Iconfinder will permanently close on November 15, 2025

support.freepik.com
4 ポイント·投稿者 constantinum·9 か月前·0 コメント

コメント

constantinum
·4 か月前·議論
We are using https://mfbt.ai/
constantinum
·4 か月前·議論
I also want to try Qwen 3.5 plus. I have a doubt, I see almost same pricing for both Qwen and Claude code(the difference being the highest pro plan looks cheaper), and not for the lower plans. Am I missing something, when you say “cheaper” ??
constantinum
·4 か月前·議論
Deepseek and Qwen Chat
constantinum
·4 か月前·議論
I think LLMWhisperer might help you here https://pg.llmwhisperer.unstract.com/
constantinum
·5 か月前·議論
Posthog
constantinum
·5 か月前·議論
reminds me of this article > https://unstract.com/blog/understanding-why-deterministic-ou...
constantinum
·6 か月前·議論
MonicaHQ

Audiobookshelf

Ghost crm

Immich for photo hosting

Mattermost

Matomo
constantinum
·6 か月前·議論
Vimeo’s editor’s pick is my go to place for getting/staying inspired…
constantinum
·6 か月前·議論
All Pulitzer price winning non-fiction books — specifically investigative journalism - is always a great read
constantinum
·6 か月前·議論
What matters most is how well OCR and structured data extraction tools handle documents with high variation at production scale. In real workflows like accounting, every invoice, purchase order, or contract can look different. The extraction system must still work reliably across these variations with minimal ongoing tweaks.

Equally important is how easily you can build a human-in-the-loop review layer on top of the tool. This is needed not only to improve accuracy, but also for compliance—especially in regulated industries like insurance.

Other tools in this space:

LLMWhisperer/Unstract(AGPL)

Reducto

Extend Ai

LLamaparse

Docling
constantinum
·7 か月前·議論
- Permutation City — Greg Egan

- She Said — Jodi Kantor & Megan Twohey

- Conclave — Robert Harris

- First You Write a Sentence — Joe Moran

- Eleanor Oliphant is Completely Fine — Gail Honeyman

- The Master and Margarita — Mikhail Bulgakov

More books here -> https://pastebin.com/XVeacpHM
constantinum
·7 か月前·議論
Selfish Gene, Thinking fast and slow, Pale blue dot
constantinum
·7 か月前·議論
At instances where data accuracy is of paramount importance, i think a hybrid route of non-llm ocr for data parsing and LLMs for structured data extraction is the safe passage to tread on. Seen better results for LLMWhisperer(OCR)[1] and Latest Gemini.

[1] - https://pg.llmwhisperer.unstract.com/
constantinum
·8 か月前·議論
Sentry's homepage has a toggle called "no-marketing mode" which when turned on removes all the marketing fluff.
constantinum
·9 か月前·議論
Ken Thompson interviewed by Brian Kernighan at VCF East in 2019 > https://www.youtube.com/watch?v=EY6q5dv_B-o
constantinum
·9 か月前·議論
Why PDF parsing is Hell[1]:

Fixed layout and lack of semantic structure in PDFs.

Non-linear text flow due to columns, sidebars, or images.

Position-based text without contextual or relational markers.

Absence of standard structure tags (like in HTML).

Scanned or image-based PDFs requiring OCR.

Preprocessing needs for scanned PDFs (noise, rotation, skew).

Extracting tables from unstructured or visually complex layouts.

Multi-column and fancy layouts breaking semantic text order.

Background images and watermarks interfering with text extraction.

Handwritten text recognition challenges.

[1] https://unstract.com/blog/pdf-hell-and-practical-rag-applica...
constantinum
·9 か月前·議論
I use LLMWhisperer[1] for OCR'ing old magazine ads. It preserves the layout and context. Example > https://postimg.cc/ts3vT7kG

https://pg.llmwhisperer.unstract.com/
constantinum
·9 か月前·議論
I sort of use SuperWhisper, it is sort of good. https://superwhisper.com/
constantinum
·9 か月前·議論
1. Bill Cunningham New York

2. General Magic(2018)

3. The Armstrong Lie

4. Icarus (2017 film)

5. Man on Wire

6. Baraka & Samsara

7. BBC Planet Earth

8. Finding Vivian Maier
constantinum
·9 か月前·議論
anyone looking for an ocr or text pre-processor that maintains the layout(tables, forms) try LLMWhisperer > https://pg.llmwhisperer.unstract.com/