Software Alternatives, Accelerators & Startups

Kadoa VS autoComplete.js

Compare Kadoa VS autoComplete.js and see what are their differences

Kadoa logo Kadoa

Scrape Websites Easily With AI

autoComplete.js logo autoComplete.js

Simple autocomplete pure vanilla Javascript library.
  • Kadoa Landing page
    Landing page //
    2023-05-07
  • autoComplete.js Landing page
    Landing page //
    2020-07-12

Kadoa features and specs

No features have been listed yet.

autoComplete.js features and specs

  • Lightweight
    autoComplete.js is a lightweight library, with a very small file size, making it fast to load and easy to integrate without significantly impacting page performance.
  • Easy to Implement
    The library is straightforward and easy to integrate into any project, providing a quick setup process with minimal configuration needed to get started.
  • Customizable
    Offers various customization options, allowing developers to modify appearance and behavior to fit the specific needs of their application.
  • No Dependencies
    autoComplete.js does not rely on external libraries like jQuery, making it a stand-alone solution that reduces dependency management concerns.
  • Accessibility Features
    The library includes accessibility support, such as keyboard navigation, which enhances usability for users with disabilities.

Possible disadvantages of autoComplete.js

  • Limited Features
    Compared to more comprehensive libraries, autoComplete.js has a more limited feature set, which may not suffice for very complex implementations.
  • Community Support
    autoComplete.js has a smaller community, meaning there might be fewer third-party resources, plugins, or updated guides available compared to more popular libraries.
  • Scalability
    For projects with large-scale requirements or complex data structures, the lightweight nature of the library might pose limitations in terms of scalability.
  • Customization Complexity
    While customization is a benefit, it may require deeper knowledge of CSS and JavaScript to fully leverage the customization potential, which can be a hurdle for some developers.

Category Popularity

0-100% (relative to Kadoa and autoComplete.js)
Web Scraping
100 100%
0% 0
Developer Tools
29 29%
71% 71
AI
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Kadoa seems to be more popular. It has been mentiond 6 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.

Kadoa mentions (6)

  • Ask HN: Who is hiring? (January 2025)
    Kadoa | Senior Software Engineer | Remote (Europe) | Full-Time | https://kadoa.com At Kadoa, we are building the foundational infrastructure for unstructured data ETL. We enable any organization to instantly transform unstructured data (websites, documents, emails, etc.) into structured insights - without code or maintenance overhead. We are VC-funded with strong traction. There are two official roles, but we... - Source: Hacker News / 5 months ago
  • Web scraping with GPT-4o: powerful but expensive
    We've been working on AI-automated web scraping at https://kadoa.com and our early experiments were similar to yours. We started when only the expensive and slow GPT-3 was available, which pushed us to develop a cost-effective solution at scale. Here is what we ended up with: - Extraction: We use codegen models to generate CSS selectors or XPath extraction code. This is more efficient than using LLMs for every... - Source: Hacker News / 9 months ago
  • My finetuned models beat OpenAI's GPT-4
    > Data extraction/structuring data is the only serious application of LLMs I fully agree. I realized this early on when experimenting with GPT-3 for web data extraction. We then started seeing a lot of demand for automating rule-based web scraping stacks (lots of maintenance, hard to scale), which led to the creation of our startup (https://kadoa.com). AI won't eliminate our jobs, but it will automate tedious,... - Source: Hacker News / 11 months ago
  • Show HN: Chat with your data using LangChain, Pinecone, and Airbyte
    You're right, LLMs are really good at extracting and structuring data from third party sources. I've been working on a "Zapier for data extraction" for this reason: https://kadoa.com. - Source: Hacker News / almost 2 years ago
  • Kor: Extract structured data using LLMs
    We're using LLMs to generate web scrapers and data processing steps on the fly that adapt to website changes. Using an LLM for every data extraction, as most comparable tools do, is expensive and slow, but using LLMs to generate the scraper code and subsequently adapt it to website modifications is highly efficient. Try it out https://kadoa.com. - Source: Hacker News / almost 2 years ago
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autoComplete.js mentions (0)

We have not tracked any mentions of autoComplete.js yet. Tracking of autoComplete.js recommendations started around Mar 2021.

What are some alternatives?

When comparing Kadoa and autoComplete.js, you can also consider the following products

Simple Scraper - Extract data from any website in seconds — download instantly, scrape in the cloud, or create an API.

Angular InstantSearch by Algolia - Build beautiful search UX on top of Angular

Predibase - Low-code AI platform built for developers

InstantSearch iOS by Algolia - Build beautiful Search UX in Swift & Objective-C

FetchFox.ai - Scrape any website with AI

Vue InstantSearch by Algolia - Build beautiful Search UX on top of Vue.js & Laravel