araviii305/ai-gym-growth-assistant — explained in plain English
Analysis updated 2026-05-18
Automatically qualify and score incoming gym membership leads with AI.
Detect duplicate lead submissions using a fingerprint-based identity check.
Track contact details and interaction history for each gym lead in Airtable.
| araviii305/ai-gym-growth-assistant | 0-bingwu-0/live-interpreter | 010zx00x1/faresnipe | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | — | Python | Python |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | pm founder | general | general |
Figures from each repo's GitHub metadata at analysis time.
README does not document setup steps, likely requires n8n, OpenAI, and Airtable accounts and credentials.
This project is an early stage tool meant to help gyms find and manage new leads, built by connecting three existing platforms together rather than being written as custom software from scratch. It uses n8n, a tool for building automated workflows by connecting different services, along with OpenAI's AI models and Airtable, a spreadsheet style database, to receive information about potential gym members and process it automatically. The README describes this as version 1.0, which the author calls the Lead Intelligence Engine. According to the listed features, this version can use AI to judge whether an incoming lead looks promising, score how likely that person is to become a member, keep track of contact details, detect when the same person has submitted information more than once using a fingerprint style identity check, log a history of interactions with each lead, and handle errors gracefully. The system is also described as being built with a modular workflow structure, meaning the pieces can likely be updated or swapped independently. The README is quite short and does not go into detail about how any of these features actually work internally, how to install or configure the project yourself, or what account credentials and setup steps are required for n8n, OpenAI, and Airtable. It functions more as a public progress log than full documentation at this stage. The author lists an ambitious roadmap of future versions covering things like converting trial members, nurturing new members after signup, encouraging retention, gathering reviews and referrals, and eventually a broader AI business advisor feature, but only the first version is marked as complete so far. The author states they are building this project publicly and sharing updates weekly.
An n8n workflow that uses AI and Airtable to automatically qualify and score gym membership leads.
No license information was found in the description provided.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
double-check against the repo, no cap.