dataprep.dev VS Asklayer

dataprep.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.

Asklayer's answer:

Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.

So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.

The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.

dataprep.dev's answer

1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.

Asklayer's answer:

• Walmart
• Dyson
• NZXT
• Bloom
• Japan national airline
• City of Kanagawa

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.