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Dirty data is a quiet disaster. Duplicate contacts, inconsistent formats, missing fields, & records across Mailchimp, HubSpot, Klaviyo, Shopify, and Salesforce -- most teams live with this mess because cleaning it properly requires hours of manual work nobody has time for. CleanSmart fixes that.
It runs your data through four AI-powered steps in a single pass: SmartMatch finds and merges duplicate records using semantic similarity (so "Jon Smith" and "John Smith" at the same company get caught), AutoFormat standardizes phone numbers, emails, and addresses, SmartFill predicts and fills missing values, and LogicGuard flags anomalies before they corrupt your analytics.
Every change gets a confidence score. High-confidence fixes happen automatically. Anything the AI isn't sure about gets routed to you for review -- with the original value, the suggested value, and the reasoning behind it. You stay in control. Nothing changes in your data without a full audit trail.
Connect directly to your existing platforms via OAuth. No CSV exports, no re-importing, no duct tape. Built by a consultant who spent 20 years watching businesses lose revenue to data they couldn't trust. CleanSmart is the tool I kept wishing existed.
CleanSmartVim is recommended for programmers, developers, and system administrators who require a highly efficient and customizable text editing experience. It is especially useful for those who work extensively in terminal environments or need a quick, resource-light text editor for remote systems.
CleanSmart's answer:
Marketing Ops, RevOps, and SalesOps practitioners at growing businesses who manage customer data across multiple platforms and don't have a dedicated data engineering team. These are the people manually deduplicating CRM records, fixing formatting inconsistencies before a campaign send, and dealing with bounced emails from bad data. They know the problem is costing them time and revenue -- they just haven't had a tool built specifically for them.
CleanSmart's answer:
Most data cleaning tools make you run separate processes for separate problems -- one tool for duplicates, another for formatting, something else for missing values. CleanSmart handles all four in a single automated pass: semantic duplicate detection, format standardization, missing value prediction, and anomaly flagging. What makes that technically different is the confidence-based review layer -- high-confidence changes happen automatically, low-confidence ones get routed to you for approval. Nothing changes in your data without a full audit trail, and every decision is reversible.
CleanSmart's answer:
CleanSmart is built for the people who actually live with messy data -- Marketing Ops, RevOps, and SalesOps practitioners -- not data engineers. There's no code to write, no complex configuration, and no need to export and re-import files manually. It connects directly to HubSpot, Salesforce, Mailchimp, Klaviyo, and Shopify via OAuth and cleans your data where it already lives. The semantic duplicate detection catches matches that traditional string matching misses -- "Jon Smith" and "John Smith" at the same company get flagged, not treated as two separate contacts. And the human-in-the-loop review workflow means you stay in control of every change the AI makes.
CleanSmart's answer:
CleanSmart was built by William Flaiz, a digital transformation executive with 20+ years of enterprise software and MarTech consulting experience. After repeatedly watching businesses lose revenue to data they couldn't trust -- duplicate leads, inconsistent formats, records scattered across disconnected systems -- and spending countless hours cleaning that data manually before it could be useful, he built the tool he kept wishing existed. The product went from concept to working beta in four months, built with AI-assisted development and informed by direct feedback from RevOps and MarOps practitioners who shaped its core features.
CleanSmart's answer:
CleanSmart is built on a React and TypeScript frontend with a FastAPI Python backend. The AI capabilities use sentence-transformers for semantic similarity matching and scikit-learn for anomaly detection and missing value prediction. Data is stored in PostgreSQL in production. Platform integrations connect via OAuth 2.0. The infrastructure runs on DigitalOcean.
Based on our record, Vim seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lua is quite small, encouraging distros to include it. The ubuntu gvim has, and the gvim AppImage linked from vim.org does. The default Makefile from github is set up to not include it, but you can uncomment one line there to get it. Source: over 3 years ago
I've not used vimwiki locally (tho I'm old enough to remember the Vim wiki on vim.org :), but I think what you are wanting to do is extend vimwiki's syntax file. I presume it installs one at $VIMRUNTIM/syntax or or ~/.vim/syntax. If this sounds right, then create a ~/.vim/after/syntax/vimwiki.vim file and place your match command in there. Then everytime you open a vimwiki file it should apply your... Source: over 3 years ago
Vim.org has 242k total visitors, tailwindcss.com has 4.4m, planetscale.com has 412k, jpl.nasa.gov has 2.6m, all built with Tailwind, all several years younger than Vim's website. Unnecessary comparison, unnecessary defence. It's a valuable tool, fine, but a complete disregard for anyone who doesn't love a crappy website and would like to navigate a website like a normal human is not something to be defended. Maybe... Source: almost 4 years ago
I write in Vim with some customizations in my vimrc to gear it more towards prose writing than code editing. It's not pretty, but Normal Mode and Ex commands are the most powerful text editing tools out there, so that means I spend less time on making corrections and other edits. Source: over 4 years ago
If you are open minded and would like to try it out, click me for more information! Cheers. - Source: dev.to / over 4 years ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
CSV Cleaner - Clean messy CSV files in seconds.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Bulk Phone Normalizer - Clean messy CSV phone columns before CRM, dialer, or API import. Convert safe rows to E.164, preserve the rest of your data, and split risky numbers into a needs-review file in your browser.
GNU Emacs - GNU Emacs is an extensible, customizable text editorโand more.
Clean Spreadsheets - Automatically clean customer data with a few clicks