DEV Community: Samuel So

SnapContract is a developer tool designed to help freelance photographers save time and increase productivity. The tool uses AI

Samuel So — Tue, 07 Apr 2026 15:07:00 +0000

The tool works by using natural language processing (NLP) to generate contracts based on a set of predefined templates and variables. The AI algorithm ensures that the generated contracts are compliant with various laws and regulations, and are tailored to each photographer's specific needs. For example, the contract generator can take into account the type of shoot, the location, and the number of models involved.

Here's an example of how the contract generator works:

// Contract generator function
function generateContract(photographerName, clientName, shootType) {
  // Define contract template
  const contractTemplate = `...`;
  // Define variables
  const variables = {
    photographerName,
    clientName,
    shootType
  };
  // Generate contract using AI algorithm
  const contract = generateContractUsingAI(contractTemplate, variables);
  return contract;
}

The generated contract can then be customized and downloaded by the photographer. SnapContract also includes a free tier, so you can try it out without committing to a paid plan. Check out SnapContract at https://snapcontract-2imyvem7l-samueljai120s-projects.vercel.app and see how it can help you save time and increase productivity.

NoShowGuard: Using AI to Predict No-Shows for Massage Therapists

Samuel So — Thu, 26 Mar 2026 15:00:10 +0000

As a developer, I've worked with several freelance massage therapists who struggle with no-shows. These last-minute cancellations or forgotten appointments can result in lost revenue and wasted time. To solve this problem, I've built NoShowGuard, an AI-powered tool that predicts no-shows and sends personalized reminders to keep schedules full.

NoShowGuard works by analyzing client behavior and appointment history to identify patterns and predict no-shows. The AI algorithm is trained on a dataset of client interactions and appointment outcomes, allowing it to learn and improve over time. When a client is predicted to be at risk of no-showing, NoShowGuard sends a customized reminder to encourage them to confirm or reschedule their appointment.

Here's an example of how the AI algorithm works:

import pandas as pd
from sklearn.ensemble import RandomForestClassifier

# Load client data and appointment history
client_data = pd.read_csv('client_data.csv')
appointment_history = pd.read_csv('appointment_history.csv')

# Train the AI algorithm on the dataset
rf = RandomForestClassifier(n_estimators=100)
rf.fit(client_data, appointment_history)

# Use the trained algorithm to predict no-shows
predictions = rf.predict(new_client_data)

NoShowGuard is available in three plans: Pro ($29/mo), Business ($99/mo), and a limited free tier. Try it out today at https://noshowguard-fbyfs12eo-samueljai120s-projects.vercel.app.

Title: Simplifying Tailwind CSS Configurations with the Tailwind Config Validator

Samuel So — Wed, 25 Mar 2026 15:02:40 +0000

As frontend developers, we've all been there - staring at a lengthy Tailwind CSS configuration file, trying to track down a pesky error or optimize performance. The Tailwind Config Validator is a tool designed to simplify this process. By pasting in your config file, the validator checks for errors and provides suggestions for optimization. For example, it can identify unused classes, redundant settings, and even suggest better ways to organize your config file.

Under the hood, the validator uses a combination of static analysis and heuristics to identify potential issues. It's built using JavaScript and runs entirely in the browser, so you don't need to worry about uploading your config file to a server. The validator is also designed to be fast and accurate, so you can get back to building your project without wasting time on config issues.

One of the key features of the validator is its ability to provide actionable suggestions for optimization. For instance, it might suggest removing unused classes or consolidating redundant settings. By following these suggestions, you can improve the performance and maintainability of your config file.

You can try out the Tailwind Config Validator at https://tailwind-config-validator-h4t0ykkox-samueljai120s-projects.vercel.app. The free tier is available for small to medium-sized projects, while the paid tier is $29/month for larger projects or those requiring more advanced features.

FormToJSON: A Simple Solution for Converting HTML Forms to REST API Endpoints

Samuel So — Wed, 25 Mar 2026 15:02:08 +0000

As frontend developers, we've all been there - stuck trying to integrate a tricky form with a backend API. Either we have to write custom backend code or rely on a third-party service that doesn't quite fit our needs. That's why I created FormToJSON, a tool that turns any HTML form into a REST API endpoint instantly, without requiring any backend coding.
At its core, FormToJSON uses a combination of HTML parsing and REST API routing to convert form submissions into JSON data. This data can then be sent to any REST API endpoint, making it easy to integrate with backend services.
For example, you can use FormToJSON to convert a simple contact form into a REST API endpoint that sends data to a backend service for processing. You can try out FormToJSON at https://formtojson-jq1fsekvg-samueljai120s-projects.vercel.app and see how it can simplify your workflow.

Validating environment variables is a crucial step in deploying applications, but it can be a tedious and error-prone process. T

Samuel So — Tue, 24 Mar 2026 18:06:30 +0000

The tool is designed to be easy to use and integrate well with existing workflows. Simply define your schema file, run the CLI command, and it will validate your env vars. For example, given a schema file schema.json with the following content:

{
  "type": "object",
  "properties": {
    "DB_HOST": {"type": "string"},
    "DB_PORT": {"type": "integer"}
  },
  "required": ["DB_HOST", "DB_PORT"]
}

You can run the CLI command env-var-validator -s schema.json to validate your env vars.

Check out the tool at and give it a try.

MockGraph: Solving the GraphQL Mock API Problem

Samuel So — Tue, 24 Mar 2026 18:06:05 +0000

As frontend and full-stack developers, we've all been there - waiting for a backend to be set up or dealing with inconsistent or unreliable APIs. This is where MockGraph comes in, a tool that generates a schema-aware GraphQL mock API from a GraphQL schema or Introspection URL. With MockGraph, you can instantly generate a mock API and start building your application. Visit to learn more.

KeywordClarity is a tool designed to simplify keyword research for SEOs and content marketers. The problem it solves is the comp

Samuel So — Tue, 24 Mar 2026 18:05:27 +0000

KeywordClarity is a tool designed to simplify keyword research for SEOs and content marketers. The problem it solves is the complexity and cost associated with using comprehensive SEO tools. By leveraging a free API, KeywordClarity can provide essential data such as keyword difficulty, search volume, and CPC at an affordable price. The dashboard is built to be straightforward and easy to use, presenting the data in a simple scorecard format. You can try it out at [URL]