ajay shah

Get the published job postings of any company that hires through Greenhouse or Lever, as clean JSON: title, location, department, link and last update. Name the boards (greenhouse:<board token> or lever:<company>), optionally filter by a keyword in the title.

Upload a CSV file containing property records (price, sqft, bedrooms, year_built) and get summary statistics such as average price, median price, average price per square foot, and more. No external APIs are used; the tool works solely on the data you provide.

Upload a product catalog CSV with prices in any currencies; the tool fetches live ECB exchange rates, applies marketplace-specific fee structures (Amazon, eBay, Etsy, Shopify), and outputs a ready-to-list multi-currency catalog with per-country recommended prices, fee breakdowns, and net margins. Id

Paste raw CSV text and instantly receive a summary with the total row count and column names, helping you quickly assess or transform the data for import into other systems.

A simple tool that takes a CSV string of job postings (e.g., from LinkedIn or Indeed exports) and converts it into a structured JSON array, making it easy to import job data into other workflows or databases without scraping any external sites.

A simple tool that takes raw dataforseo keyword ideas JSON supplied by the user and returns a cleaned, deduplicated list of keywords with their search volume, CPC and competition. No external calls are made – you paste the JSON you exported from DataForSEO and get a ready‑to‑use table.

Analyzes a GitHub repository and generates a structured content audit with repository metrics, README summary, file structure, recent releases, top community issues, and ready-to-use content outlines for technical tutorials, review videos, or blog posts. Perfect for developer content creators resear

Search GitHub for repositories matching a term and get the owner, repository name, description, star count and URL of each result, using only the official GitHub API.

Fetches recent Hacker News stories (top, new, best, ask, show), groups them into topic clusters using title keyword extraction, and returns cluster metrics including story count, average score, dominant domains, and representative titles. Ideal for spotting emerging tech trends, content gaps, and co

A simple tool that lets you send HTTP requests to any of the whitelisted public APIs (GitHub, npm, PyPI, OpenAlex, Crossref, arXiv, Wikipedia, Hacker News, Frankfurter). Provide the host, endpoint path, HTTP method, optional query parameters, headers, and request body. The tool returns the status co

Classifies search intent (informational, commercial, transactional, navigational) and groups keywords into semantic clusters for SEO content planning. Paste your keyword list from any source (Ahrefs, SEMrush, Google Ads, AnswerThePublic) to instantly structure research for editorial calendars and la

Returns the most recent Hacker News stories with their titles, URLs, scores, and timestamps. Provide the number of items you want (1‑30) and the tool fetches them from the public Hacker News API, delivering a ready‑to‑use list for developers who need quick access to current tech news.

Take a comma-separated list of numbers and compute basic statistical metrics such as count, sum, mean, median, min, max, variance, and standard deviation. No external APIs are needed; the tool works entirely on the data you provide.

Fetch and normalize structured metadata for multiple npm packages in one run — licenses, dependencies, repository links, publish dates, and bundle sizes — to audit dependencies, generate SBOMs, or enforce policy without scraping. Returns clean JSON arrays ready for CI pipelines or reporting tools.

Audit license compliance across JavaScript and Python dependencies in one pass. Supply a mixed list of npm and PyPI package names; the tool fetches current license metadata from each registry, normalizes SPDX identifiers, flags non-OSI-approved or incompatible licenses, and returns a clean complianc

Provide a CSV of property listings (price, bedrooms, bathrooms, sqft, year built) and get summary statistics: total listings, average/median price, average price per sqft, price per sqft range, average bedrooms/bathrooms, average year built. No scraping, just processes your data.

Receipts/invoices (image or PDF) to OCR text + total/subtotal/tax with confidence. Local OCR, no AI API. Accuracy measured on the CORD dataset (see README). Pay per page processed.

Provide a regular expression pattern and a text string to extract all matches. The tool returns each match with its position and length, useful for testing regexes or extracting data from user‑supplied strings.

Provides a concise summary of the Wikipedia article for a given reverse image search query, helping creators quickly understand the topic without leaving the tool.

Analyze sports match data supplied as CSV or JSON to compute win rates, total matches, and season summaries. No live data fetching; only transformations.

Provide a CSV of tennis match scores (player1_score,player2_score) and get aggregate statistics: total matches, win percentage for player1, average total points per match, and longest consecutive win streak for player1.

Calculate the total travel distance of a route defined by latitude/longitude points. Users supply an array of waypoints (lat, lon) and optionally choose distance units (kilometers or miles). The tool uses the haversine formula to compute leg distances and the total, returning a structured result wit

Retrieve a concise Wikipedia summary for any visual product name you provide, including the article title, a short description, the page URL, and a thumbnail image.

Helps creators turn a simple text description into a ready-to-use prompt for the Wan 2.2 image-to-video model, optionally setting output dimensions, frame count, and diffusion steps.