xTiles App
Milanote
Excalidraw
Craft Docs
Heptabase
Walling
Capacities
Scrintal
dataprep.dev
Microsoft Office Excel
Google Sheets
Airtable
Apache OpenOffice Calc
Apple Numbers
Pyspread
Our app puts three core values to the fore: simplicity, visualization, and consensus.
By creating an infinite canvas where cards, much like sticking notes, resemble a neatly organized collection of inter-related ideas. They serve as units of thoughts with clear borders, displayed on a squeaky-clean white canvas.
To preclude the document from becoming messy as the number of cards augments, we betted on functions that are clear-cut and intuitive. They include dragโnโdrops; deep dive; tabs within a document; embedded pictures, videos, and links; sub-pages. As a result, the users get a well-organized, easy-to-navigate space.
Rather than providing bits and pieces of scattered information, the tool gives you a birdโs-eye view of the cards, creating the big picture.
Pillared by simplicity and visualization, the app offers a collaborative space for teams to work together in real-time, sharing cards and elaborating on ideas.
dataprep.dev is a 100% local, pure-browser data processing engine designed to solve the biggest headaches in data preparation: Excel crashes and privacy risks.
Powered by cutting-edge DuckDB-Wasm technology, our toolkit brings database-level performance directly into your browser tab. Your data never leaves your device. No servers, no uploads, no GDPR headaches.
Stop fighting with bloated spreadsheet software. Clean locally, analyze anywhere.
xTiles App dataprep.devdataprep.dev's answer:
I was trying to clean up a massive, messy Shopify order export. Excel kept freezing, and I absolutely refused to upload sensitive customer emails to random online converters. I got so frustrated that I decided to stop complaining and build a local-first toolkit to solve my own workflow nightmare.
dataprep.dev's answer:
1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.
dataprep.dev's answer:
Most data tools force you to upload your CSVs to their servers. We don't. We compiled DuckDB into WebAssembly, meaning you get a blazing-fast, database-level engine running entirely inside your local browser tab. It's 100% private and works instantly.
dataprep.dev's answer:
If you try to open a 2GB CSV in Excel, it freezes and crashes. If you use Python Pandas, you have to write code and manage environments. dataprep.dev gives you the power of code (SQL queries, regex, merging 50 files) with a simple drag-and-drop UI, without ever freezing your computer.
dataprep.dev's answer:
E-commerce sellers flattening messy Shopify exports, performance marketers cleaning ad reports, and data analysts who need to anonymize PII (GDPR compliance) before feeding datasets to AI models like ChatGPT.
dataprep.dev's answer:
DuckDB-Wasm is the core data engine handling the heavy lifting. The frontend is built with React/Next.js and styled with Tailwind CSS. It's a modern, serverless architecture.
I switched from Notion because xtiles is a simple but powerful tool for knowledge management. It's not about functionality, but about use cases, that both products help with. For instance, if you need to create a strict knowledge base for the team and save data, then the notion works. But if you want to save your knowledge and reuse it in the future - you'll definitely get more value using xtiles. Great product!
Based on our record, xTiles App seems to be more popular. It has been mentiond 1 time 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.
I would highly recommend xtiles. After trying, notion, obsidian, logseq, craft, anytype, slite, and many other alternatives, I decided to go for Xtiles. If you are not writing a novel or very long texts it is an amazing tool to gather information and put down and organize whatโs on your mind. Give it a shot . Source: over 3 years ago
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