ngarner · HN

ZeroGate – Fast, account-free visual CSV matching without AI

@ashkans_dev · X

An ETL tool:

@cleanmycsv_app · X

hi alisha, just shipped to fix corrupted utf-8, missing zeros and bad formatting before importing to crms. building in public now 🚀 let’s connect!

Smart Match AI — 自定义条件和精度来匹配两列不同的数据，更加自由的 Excel lookup/vlookup

@theobouille · X

A Business Development & Licensing Toolbox for Pharma: Patient forecasting / Comparable BD&L Transactions / Potential Deal Structure All with Codex 👨‍💻!

u/captain_sauce_code · Reddit

I built a tool that turns messy supplier PDFs and spreadsheets into Shopify CSVs I'm a software developer in Australia, building this on the side around a full time job. The itch: dropshippers and small Shopify stores get product catalogs from suppliers as PDFs or ugly spreadsheets, then hand-retype them into Shopify's import CSV. While building I ran real supplier catalogs through it and the files were worse than you'd think. Split product titles, columns that drift halfway down the page,

@sarkar53765 · X

🚀 Just launched the TailorCV Chrome Extension. Tailor your resume directly from any LinkedIn job posting in ~30 seconds. No copy-pasting. No tab switching. Just one click. Try it: #buildinpublic

@imabhijeet_s · X

Get more interview-ready resumes with AI-powered ATS analysis and one-click job-specific optimization.

@kamone · X

I built (vibe coded) my own geometry engine from scratch. It keeps path as path, and does the transformation and the silhouette splitting. You can see the code here. One single html file.

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

Messy2Sheet — AI 文档转表格工具，把截图、邮件订单和 PDF 价格表按自定义字段整理成 Excel/CSV，支持保存可复用 Recipe

@butmatthew17 · X

just check it out completely for free