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InRank: AI‑powered ranking assistant for startup founders

InRank is a Python‑based AI agent that streamlines ranking and prioritization tasks, letting founders make data‑driven decisions faster.
154 stars13 forksPythonGuide quality 8/10 · reviewed Oct 10Updated 1/2/2024100% free · open source
What it does

InRank is a Python library for ranking and information retrieval tasks, providing a simple and efficient way to rank items based on their relevance to a query

When to use it
  • •When you need to implement a search engine or recommendation system in your application
  • •When you have a large dataset and need to rank items based on their relevance to a specific query
  • •When you want to experiment with different ranking algorithms and techniques
Ready-to-paste prompt
python example.py -q 'example query' -d 'example dataset'
Heads up: Make sure you have the correct version of Python (3.7 or later) and the required dependencies installed, as specified in the `requirements.txt` file
Saves to your device
Use with Claude
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/inrank && curl -fsSL https://workflowstacks.com/api/skills/inrank/claude-skill -o ~/.claude/skills/inrank/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How InRank: AI‑powered ranking assistant for startup founders works
Codeflow
Free to inspect

InRank: AI‑powered ranking assistant for startup founders is a large Python project (~25k lines across 138 code files, plus 30 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 34 months ago, MIT license, has a test suite.

Size
Large codebase
~25k lines · 138 code files · ~4 h to skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Docker
No API keys detected
Python 99%Dockerfile 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    run.py
    Where the program starts running
  3. 3
    src/__init__.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic137 files
configs/Configuration364 files
notebooks/Research & notebooks1 files
tests/Tests — proof it works30 files
READMEHas testsThin docsNo CIDocker readyMIT licenseLast update 34 mo ago
Quick Actions
Details
Creator
jiaweizzhao
Language
Python
Category
ai-agent
Published
6/19/2023

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/inrank.svg)](https://workflowstacks.com/skills/inrank?utm_source=github&utm_medium=badge)
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