DEV Community: Juan Triviño

Create Stunning Color Palettes with the Free Color Palette Generator

Juan Triviño — Wed, 06 May 2026 10:01:12 +0000

Are you tired of spending hours trying to find the perfect color scheme for your projects? The Color Palette Generator is here to save the day! This free tool allows you to effortlessly generate beautiful color palettes that can elevate your design work and ensure your projects stand out.

So, how does it work? The Color Palette Generator uses a simple yet effective algorithm to create harmonious color combinations based on your input. You can start with a base color, and the tool will generate a palette that complements it perfectly. Whether you're designing a website, creating graphics, or working on UI/UX projects, this tool has got you covered.

Here’s a quick example of how to use the Color Palette Generator with Python. You can easily integrate it into your projects using a simple HTTP request:

import requests

# Define the base color
base_color = '#3498db'

# Make a request to the Color Palette Generator
response = requests.get(f'http://148.230.76.63:8080/color_palette_generator?color={base_color}')

# Print the generated palette
print(response.json())

This code snippet sends a request to the Color Palette Generator API with your chosen base color and retrieves a JSON response containing the generated palette.

Ready to give it a try? Head over to Color Palette Generator and start creating stunning color combinations for your next project today!

Discover Buy Ai Tools: Your Go-To Resource for AI Solutions

Juan Triviño — Wed, 06 May 2026 10:00:51 +0000

In the rapidly evolving world of artificial intelligence, finding the right tools can be overwhelming. Developers often struggle to sift through countless options, wasting valuable time and resources. Enter Buy Ai Tools, a free platform designed to streamline your search for AI solutions, making it easier than ever to find the right tools for your projects.

Buy Ai Tools aggregates a wide variety of AI tools, allowing you to compare features, pricing, and user reviews all in one place. Whether you're looking for machine learning libraries, natural language processing tools, or computer vision solutions, this platform has you covered. Simply visit the site, browse through the categories, and discover the tools that best fit your needs.

Using Buy Ai Tools is straightforward. Just navigate to the website, select the category of AI tools you’re interested in, and explore the curated list of options. Each tool comes with detailed descriptions and links to their official documentation, ensuring you have all the information you need at your fingertips.

Here’s a quick example of how to use cURL to fetch data from the Buy Ai Tools API:

curl -X GET 'http://148.230.76.63:8080/buy_ai_tools'

Or, if you prefer Python, you can use the requests library:

import requests
response = requests.get('http://148.230.76.63:8080/buy_ai_tools')
print(response.json())

Ready to find the perfect AI tools for your next project? Head over to Buy Ai Tools and start exploring today!

Happy coding!

Streamline FDA Approval Status Extraction with This Free Tool

Juan Triviño — Wed, 06 May 2026 09:25:56 +0000

In the fast-paced world of healthcare and pharmaceuticals, keeping track of FDA approval statuses for medical products can be a daunting task. Manual checks can be time-consuming and prone to errors, especially when dealing with numerous product labels. Enter "Automate The Extraction Of FDA" – a free tool designed to simplify this process by leveraging Optical Character Recognition (OCR) technology to extract FDA approval statuses directly from product labels.

So, how does it work? This tool utilizes advanced OCR algorithms to scan and interpret text from images of product labels. By automating this extraction process, it not only saves time but also enhances accuracy, allowing developers and healthcare professionals to focus on what truly matters – patient care and product safety.

To get started, you can easily make a request using cURL or Python. Here’s a quick example using Python:

import requests

url = 'http://148.230.76.63:8080/automate_the_extraction_of_fda'
files = {'file': open('product_label.jpg', 'rb')}
response = requests.post(url, files=files)

print(response.json())

This simple script uploads a product label image and retrieves the FDA approval status in JSON format, making it incredibly easy to integrate into your existing workflows.

Ready to streamline your FDA approval status checks? Try it out here: Automate The Extraction Of FDA. With this tool, you can enhance your efficiency and accuracy in managing medical product approvals.

Happy coding!

Streamline Your Communication with Automate Follow Up Email

Juan Triviño — Wed, 06 May 2026 09:09:18 +0000

In the fast-paced world of software development, keeping track of emails can be a daunting task. Whether you're following up on project updates, client inquiries, or team collaborations, timely communication is crucial. Enter Automate Follow Up Email, a free tool designed to eliminate the hassle of manual follow-ups, ensuring that no important message slips through the cracks.

So, how does it work? Automate Follow Up Email allows you to set up automated follow-up messages based on your initial email. Simply input your original message, specify the follow-up timing, and let the tool handle the rest. It’s perfect for developers who want to maintain clear communication without the repetitive effort.

Here's a quick example of how to use this tool with a simple Python script:

import requests

url = 'http://148.230.76.63:8080/automate_follow_up_email'
data = {
    'original_email': 'Hello, I wanted to check in on the project status.',
    'follow_up_message': 'Just following up on my previous email.',
    'follow_up_time': '3 days'
}

response = requests.post(url, json=data)
print(response.json())

This script sends your original email and sets a follow-up message to be sent after three days. It’s that simple!

Ready to enhance your email management? Try Automate Follow Up Email today at this link and take the first step towards more efficient communication.

Happy coding!

Automate Your Email Follow Ups with This Free Tool

Juan Triviño — Wed, 06 May 2026 05:17:26 +0000

In the fast-paced world of digital communication, keeping track of email follow-ups can be a daunting task. Whether you're managing client relationships, sales leads, or project updates, the need for timely follow-ups is crucial. Enter "Automate Email Follow Ups"—a free tool designed to streamline your email communication and ensure that no important message slips through the cracks.

So, how does it work? This tool allows you to set up automated follow-up emails based on your initial outreach. Simply input your email content, set the follow-up schedule, and let the tool handle the rest. It’s perfect for busy professionals who want to maintain engagement without the hassle of manual tracking.

Here's a quick example of how to use it with Python:

import requests

url = 'http://148.230.76.63:8080/automate_email_follow_ups'
headers = {'Content-Type': 'application/json'}
data = {
    'email': 'recipient@example.com',
    'subject': 'Follow Up',
    'body': 'Just checking in on my previous email.',
    'schedule': '2 days'
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

This snippet sends a follow-up email to the specified recipient after two days. It’s that simple!

Ready to take your email game to the next level? Try out the "Automate Email Follow Ups" tool today at http://148.230.76.63:8080/automate_email_follow_ups and never miss a follow-up again!

Revolutionize Your Workflow with Ai To Automate Business Processes

Juan Triviño — Wed, 06 May 2026 05:17:06 +0000

In today's fast-paced business environment, efficiency is key. Many organizations struggle with repetitive tasks that consume valuable time and resources. Enter Ai To Automate Business Processes, a free tool designed to streamline your operations and enhance productivity. By leveraging artificial intelligence, this tool automates mundane tasks, allowing you to focus on what truly matters: growing your business.

So, how does it work? Ai To Automate Business Processes utilizes advanced algorithms to analyze your existing workflows and identify opportunities for automation. Simply input your business processes, and the AI will suggest automation strategies tailored to your needs. It's user-friendly and requires no extensive technical knowledge, making it accessible for everyone.

Here's a quick example of how to use the tool with a simple Python script:

import requests

url = 'http://148.230.76.63:8080/ai_to_automate_business_p'
data = {'task': 'invoice processing'}
response = requests.post(url, json=data)

if response.status_code == 200:
    print('Automation suggestion:', response.json())
else:
    print('Error:', response.status_code)

This script sends a request to the Ai To Automate Business Processes API, asking for automation suggestions for invoice processing. The response will provide you with insights on how to streamline this task effectively.

Ready to transform your business processes? Try Ai To Automate Business Processes today at http://148.230.76.63:8080/ai_to_automate_business_p and unlock the potential of automation in your organization!

Detect Any Website Tech Stack for Free - A BuiltWith Alternative

Juan Triviño — Tue, 05 May 2026 16:11:49 +0000

Why Know Your Competitors Tech Stack?

Knowing what technologies your competitors use gives you strategic advantage. BuiltWith charges $295/month for this. Wappalyzer has limits.

What You Can Detect

With the right approach, you can identify:

Frontend: React, Vue, Angular, Next.js, Svelte, Tailwind
CMS: WordPress, Shopify, Wix, Squarespace, Webflow
Analytics: Google Analytics, Hotjar, Mixpanel, PostHog, Segment
Marketing: HubSpot, Intercom, Mailchimp, Klaviyo
Hosting: Cloudflare, AWS, Vercel, Netlify
Payments: Stripe, PayPal, Square
Support: Zendesk, Crisp, Tawk.to

How It Works

The detection is based on HTML signatures - specific patterns in the page source that reveal what tools are running:

# Example: detecting React
if "react.production.min.js" in html or "__NEXT_DATA__" in html:
    print("React detected")

# Example: detecting Stripe
if "js.stripe.com" in html:
    print("Stripe detected")

Free Automated Tool

I built a scraper that checks 50+ technologies across any list of websites. Pass a list of competitor URLs, get back their full tech stack as JSON.

Perfect for:

Sales teams: Know what prospects use before the call
Competitive analysis: Track what tools competitors adopt
Market research: Understand technology adoption trends

Try it free on Apify: Competitor Tech Stack Detector

What tech stack detective tools do you use? Share in the comments.

Free Website to Markdown Converter for LLM and RAG Pipelines

Juan Triviño — Tue, 05 May 2026 16:11:25 +0000

The Problem

If you are building AI applications with LLMs, you know the pain: raw HTML is useless for training data. You need clean, structured Markdown.

Most solutions like Firecrawl or Crawl4AI require setup, dependencies, and often paid plans.

The Manual Way

You could write your own parser:

import re
import urllib.request

def html_to_markdown(url):
    html = urllib.request.urlopen(url).read().decode()
    # Remove scripts, styles
    html = re.sub(r"<script.*?</script>", "", html, flags=re.DOTALL)
    html = re.sub(r"<style.*?</style>", "", html, flags=re.DOTALL)
    # Convert headings
    for i in range(6, 0, -1):
        html = re.sub(r"<h%d.*?>(.*?)</h%d>" % (i,i), "#"*i + r" 1
", html)
    # Strip remaining tags
    return re.sub(r"<[^>]+>", "", html).strip()

But this breaks on complex pages, misses metadata, and requires constant maintenance.

The Automated Way

I built a free tool that handles all of this automatically. It extracts clean Markdown from any URL, preserves document structure, headings, links, and metadata.

Perfect for:

RAG pipelines - feed clean text into vector databases
LLM fine-tuning - structured training data from any website
Content analysis - extract and analyze web content at scale

The tool runs on Apify, so no infrastructure needed. Just pass a URL and get Markdown back.

Check it out: Website to Markdown for LLM and RAG on Apify Store

What It Extracts

Page title and meta description
Open Graph data
Clean Markdown with headings, links, lists
Word count
Structured JSON output ready for your pipeline

Free to use. Built with Python. No dependencies.

What tools do you use to prepare web data for your AI models? Let me know in the comments.