Fairlx • Open Source AI-Powered PM Tool

Name: Fairlx • Open Source AI-Powered PM Tool
Brand: Fairlx • Open Source AI-Powered PM Tool
Availability: InStock

Open-source, AI-powered project management with usage-based pricing for engineering teams.

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Product memo

Fairlx offers an open-source, AI-powered project management platform for modern engineering teams and freelancers. It combines project management, collaboration, and workflow automation, integrating directly with GitHub. This approach provides cost-efficiency and precise control over resource consumption, avoiding the per-seat fees common in traditional tools.

For who: Modern engineering teams and freelancers
Solves what: AI-powered project management, collaboration, and workflow automation

AI-powered features
Usage-based pricing
GitHub integration

In their own words

Scale Work Confidently. Deliver With Precision.

Open source, usage-based, and built for real teams — Fairlx combines project management, collaboration, automation, and analytics into one platform.

Operator & company

Operators

2 people

Shashank Rathour

Maker · Source-backed

Manideep

Maker · Source-backed

Company

Founded: May 2026

Operating model

Business model: Usage Based
Platform: Web app
Audience: Developers

Product channels

X @fairlxoss LinkedIn company/stemlen GitHub stemlen/Fairlx Facebook facebook.com

Builder strategy

ProvenRadar analysis

Strategy Type: Open Source Commercial
Stage: Pre Revenue
Effort: Small Team

About Fairlx • Open Source AI-Powered PM Tool Expand

Fairlx delivers an AI-powered project management platform designed for modern engineering teams and freelancers. It integrates project management, collaboration, and workflow automation into a single, open-source product.

The platform's usage-based pricing model and direct GitHub integration appeal to technical users seeking cost transparency and control over their resource consumption. By eliminating per-seat fees, Fairlx offers a distinct alternative to traditional project management tools, focusing on efficiency and predictable costs for development workflows.