Clicked by

About this app is an AI-powered data collection tool that allows users to browse the web and automatically gather data. With Scrap, users can input their data requirements and a list of websites, or alternatively allow the tool to find relevant websites to scrape. Once initiated, Scrap will crawl the website and extract the required data before sending it to the user via a specified output method. This tool enables businesses to collect data on a large scale without the need for human intervention, saving time and increasing efficiency. Additionally, this tool ensures compliance with web scraping policies and data protection requirements to protect users from any legal issues. Overall, is a reliable and efficient data collection tool that can provide businesses with valuable insights, enabling them to make data-driven decisions and gain a competitive edge in their industry.

Genai Works
April 15, 2024

More gallery

Similar applications

Our journey at Kite While we built next-generation experiences for developers, our business failed in two important ways. First, we failed to deliver our vision of AI-assisted programming because we were 10+ years too early to market, i.e. the tech is not ready yet. We built the most-advanced AI for helping developers at the time, but it fell short of the 10× improvement required to break through because the state of the art for ML on code is not good enough. You can see this in Github Copilot, which is built by Github in collaboration with Open AI. As of late 2022, Copilot shows a lot of promise but still has a long way to go. The largest issue is that state-of-the-art models don’t understand the structure of code, such as non-local context. We made some progress towards better models for code, but the problem is very engineering intensive. It may cost over $100 million to build a production-quality tool capable of synthesizing code reliably, and nobody has tried that quite yet. Nonetheless, we could have built a successful business without 10×’ing developer productivity using AI, and we did not do that. We failed to build a business because our product did not monetize, and it took too long to figure that out. We sequenced building our business in the following order: First we built our team, then the product, then distribution, and then monetization. Because our product was very difficult to build, we began by building a world-class engineering team. We did that very successfully. Then we focused on building our product. We did not reach product-market fit until 2019, five years after starting the company. It took many iterations and heavy engineering lifts to get there. Then we grew our user base. We executed very well here, and grew our user base to 500,000 monthly-active developers, with almost zero marketing spend. Then, our product failed to generate revenue. Our 500k developers would not pay to use it. Our diagnosis is that individual developers do not pay for tools. Their manager might, but engineering managers only want to pay for discrete new capabilities, i.e. making their developers 18% faster when writing code did not resonate strongly enough. Then we explored pivoting the business. We did a lot of customer discovery, and found a new direction — code search — that could leverage our AI technology and bottoms-up developer footprint. But after seven years of intense work and early-stage-startup stress, our team was too tired to pursue that pivot, and we decided to find a soft landing.

Last Reviews

No reviews yet
Add review
Review *
Claim application
Your LinkedIn profile URL *
Oops! It looks like you need to sign up
Before leaving a review you need to create an account. Don't worry, it only takes a moment and gives you access to exclusive content and updates. Ready to get started?
Join us on
All rights reserved © 2024 Genai Works