HrFlow.ai App Store

A public catalog of AI-powered HR apps built during the HrFlow.ai Hackathon.

Each app lives in its own folder at the repository root, uses its own stack, and follows a shared submission contract defined by app.json.

Apps

App	Team	Description
Recruitly	2synthesize	AI recruitment assistant that turns a CV, test scores, and interview notes into a structured hiring recommendation.
CV Killer	APX	AI recruitment tool
Claw4HR — Passive Talent Intelligence	Claw4HR	AI-powered recruiter dashboard: describe a role via chat, and the agent scores indexed profiles using HrFlow AI, displays animated matching scores, clickable skills, SWOT analysis, and real-time pipeline feed.
OpenClaw Job Finding Agent	clawedin	AI-powered job matching agent that parses a candidate's CV and uses HrFlow.ai APIs to search, score, and rank the most relevant job opportunities, orchestrated by OpenClaw with a local LLM.
HEpiR — HR Evolution	HEpiR	AI-powered recruitment dashboard. Ranks candidates per job using HrFlow scoring combined with an LLM adjustment layer, auto-generates structured synthesis reports, and lets HR attach documents (PDF, DOCX, audio) that feed back into the score.
JobFinder	Franck Ulrich Kenfack	AI-powered job search assistant using HrFlow.ai for CV parsing, profile-job scoring, semantic search, match explanation, and skill extraction — combined with Claude for personalized career coaching and document generation.
Scout Flow	Loulou Nassih	A sourcing and candidate ranking app that combines scraped candidates and existing HrFlow sources to build a shortlist for a job.
FirstRound	Rubber Sheep	An AI-powered HR app that helps recruiters quickly identify top candidates by analyzing the result of their Ai powered interview
jobNotFound	team404	An HRFlow hackathon app that fetches a candidate profile and a job, runs a 5-question AI interview, and produces a final report with both interview scoring and HRFlow profile-job matching.
Open HR avec HrFlow.ai	yanfr-lab	AI agent that auto-generates a weighted questionnaire from any job description, scores and ranks candidates using HrFlow.ai Scoring API, and refines results through a natural language feedback loop.

How It Works

• Each team builds an app powered by the HrFlow.ai API
• Apps can be anything: web apps, APIs, CLIs, browser extensions, mobile apps, workers
• Each app folder contains an app.json manifest describing the app, its stack, and its HrFlow.ai API usage
• CI validates every submission automatically on pull request

For Teams

Quick Start

1. Fork this repository to your own GitHub account
2. Clone your fork:

   git clone git@github.com:<your-username>/AppStore-public.git

3. Copy the template:

   cp -r templates/ <your-team>-<your-app>/

4. Edit app.json with your app's metadata
5. Build your app inside the folder
6. Add a preview image to assets/
7. Fill in .env.example with the env vars your app needs
8. Write a clear README.md
9. Push to your fork and open a PR to this repository's master branch

Submission Rules

See CONTRIBUTING.md for the full guide.

Required Files

Every app folder must contain:

File	Purpose
app.json	Public manifest — metadata, stack, HrFlow.ai API usage
README.md	What the app does and how to run it
.env.example	Lists every env var the app needs with placeholder values
assets/preview.png	At least one preview image

For PR Submissions

# Install tooling dependencies
npm install

# Validate a submission
npm run validate

# List all apps
npm run list

Repository Structure

AppStore-public/
├── .github/            # CI workflows and PR template
├── schemas/            # JSON Schema for app.json
├── scripts/            # Validation and listing scripts
├── templates/          # Starter template for new apps
├── <team-app>/         # Team submission folders (at root)
└── ...