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Article URL: https://frogteam.ai/VibrantFrog/default.html

Comments URL: https://news.ycombinator.com/item?id=46970946

Points: 1

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100% open-source and free to use.

Comments URL: https://news.ycombinator.com/item?id=46970926

Points: 1

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Article URL: https://github.com/rust-lang/rust/issues/132980

Comments URL: https://news.ycombinator.com/item?id=46970916

Points: 1

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Article URL: https://billionaires.linolevan.com/

Comments URL: https://news.ycombinator.com/item?id=46970868

Points: 1

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Article URL: https://mrdoob.github.io/three-quake/

Comments URL: https://news.ycombinator.com/item?id=46970867

Points: 1

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Article URL: https://www.pravda.com.ua/eng/news/2026/02/09/8020199/

Comments URL: https://news.ycombinator.com/item?id=46970849

Points: 1

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Article URL: https://shashanksrivastava.medium.com/block-a-website-in-specific-countries-using-nginx-20a651288795

Comments URL: https://news.ycombinator.com/item?id=46970846

Points: 1

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Article URL: https://github.com/everruns/bashkit

Comments URL: https://news.ycombinator.com/item?id=46970844

Points: 1

# Comments: 1

Hey HN,

We spend a lot of time mapping cryptic bank transaction descriptions (AMZN MKTP US*2X4Y9Z) to a Chart of Accounts. It’s a repetitive task that currently relies heavily on manual data entry or fragile, rules-based automation.

We built Fyno to automate this using LLMs to understand the context behind financial documents, not just the text.

The Engineering Challenge: The main hurdle in automated bookkeeping isn't just OCR; it's contextual reconciliation. A bank statement provides a amount and a cryptic vendor string. A receipt provides a detailed breakdown of line items, tax, and a potentially handwritten tip.

Fyno solves this by bridging the gap between bank feeds and documents:

Multimodal Document Parsing: We use vision models to interpret handwriting, messy scans, and skew. We don't just extract text; we understand that a handwritten note on a restaurant slip is a tip, not a second transaction.

Contextual Mapping: We take raw receipt data (line items) and mapped it to the cryptic bank transaction string using contextual similarity.

Adaptive Learning: Fyno learns from your corrections. When a user re-categorizes a transaction or teaches the AI to handle a unique invoice format, that learning is applied to future transactions within their workspace.

Tech Stack: We are utilizing a multimodal pipeline (incorporating OCR and LLM vision capabilities) to categorize expenses with 99%+ accuracy.

Accountant Workspace: Built with total data isolation for managing multiple entities.

We’re looking for feedback from developers on our approach to transactional AI. What’s the weirdest bank statement format you’ve had to deal with?

Comments URL: https://news.ycombinator.com/item?id=46970843

Points: 1

# Comments: 0

Article URL: https://github.com/taman-islam/rox

Comments URL: https://news.ycombinator.com/item?id=46970832

Points: 1

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Article URL: https://blog.google/products-and-platforms/products/search/remove-explicit-images/

Comments URL: https://news.ycombinator.com/item?id=46970752

Points: 1

# Comments: 0

Article URL: https://solresol.substack.com/p/were-all-called-julia-or-maybe-chatgpt

Comments URL: https://news.ycombinator.com/item?id=46970734

Points: 2

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Article URL: https://www.ncl.ac.uk/press/articles/latest/2026/02/ancientegyptiandrillbit/

Comments URL: https://news.ycombinator.com/item?id=46970733

Points: 4

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Article URL: https://faenum.com

Comments URL: https://news.ycombinator.com/item?id=46970714

Points: 1

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Article URL: https://github.com/eriklangille/clauntty

Comments URL: https://news.ycombinator.com/item?id=46970713

Points: 1

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Article URL: https://www.ft.com/content/577b97f6-2416-48b9-9bd3-717bb202ca71

Comments URL: https://news.ycombinator.com/item?id=46970709

Points: 1

# Comments: 0

Hi HN,

I built a set of Claude Code skills that turn text into three types of visual diagrams for Obsidian users.

The Problem:

I take lots of notes in Obsidian. When I want to visualize concepts, I have to manually draw in Excalidraw (time-consuming), write Mermaid syntax (syntax errors, trial and error), or arrange Canvas nodes by hand (tedious positioning).

What It Does:

Three skills, each outputs a different format:

1. Excalidraw Diagram – Hand-drawn style diagrams with CJK font support. Three output modes: Obsidian (.md), Standard (.excalidraw), and Animated. 2. Mermaid Visualizer – Flowcharts, sequence diagrams, state diagrams. Built-in syntax error prevention for common pitfalls (list conflicts, subgraph naming, special characters). 3. Canvas Creator – Obsidian's native .canvas format. MindMap or Freeform layouts with automatic spacing algorithms. Example prompts:

"Create an Excalidraw flowchart showing the CI/CD pipeline" "Visualize this process as a Mermaid diagram" "Turn this article into an Obsidian Canvas" Technical Notes:

Skills are just Markdown files that Claude Code loads on demand. No server setup, no API keys needed (unless you want image export). The Mermaid skill has built-in error prevention rules learned from 50+ common failures.

Repo: https://github.com/axtonliu/axton-obsidian-visual-skills

Demo video and screenshots in the README.

Happy to discuss the error prevention approach or Excalidraw animation mode!

Comments URL: https://news.ycombinator.com/item?id=46970701

Points: 1

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Article URL: https://time.com/7338205/rage-against-ai-generated-music/

Comments URL: https://news.ycombinator.com/item?id=46970694

Points: 1

# Comments: 0

Article URL: https://github.com/avibe-bot/askill

Comments URL: https://news.ycombinator.com/item?id=46970689

Points: 1

# Comments: 1