edwardsevanygbf9854/ai-niche-analyzer-2026 — explained in plain English
Analysis updated 2026-05-18
Score and compare AI agency niche ideas using the 32 preloaded profiles.
Run a deeper analysis on a specific niche before committing to it.
Export niche research results as Markdown, CSV, or HTML for sharing.
| edwardsevanygbf9854/ai-niche-analyzer-2026 | 1tdspw-26/front-aula-08-1sem | 1tdspy-26/front-1sem-aula-03 | |
|---|---|---|---|
| Stars | 14 | 14 | 14 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 1/5 | 1/5 |
| Audience | pm founder | general | general |
Figures from each repo's GitHub metadata at analysis time.
Standard library only, no external packages, just clone and run with Python 3.
AI Niche Analyzer is a terminal-based Python tool for people trying to figure out which business niche to target when offering AI agency services. Instead of researching market ideas by hand, you run the tool in your terminal and it walks you through comparing, scoring, and validating potential niches. The README lists 32 preloaded niche profiles as a starting point, so you are not starting from a blank slate. From there, the tool scores each niche across seven dimensions, and you can adjust how much weight each dimension carries to match your own priorities. There is an interactive discovery flow for exploring options, a deeper analysis mode for looking closer at a niche you are considering, and a side-by-side comparison view for weighing a few candidates against each other. Once you have results you want to keep, the tool can export them as Markdown, CSV, or HTML files, which makes it easier to share findings or refer back to them later. Notably, the project says it relies only on Python's standard library, with no external packages to install, which keeps setup simple. To use it, you clone the repository and run a single Python script from the command line, for example python main.py. From there you pick a niche or start a fresh discovery path, review the scoring, compare options, and export when ready. The README also mentions that the scoring weights can be adjusted through a settings file, or directly in the source code if no separate config file exists in your copy. This tool suits people who want a repeatable, structured process for evaluating AI-agency business ideas rather than an ad-hoc spreadsheet approach. It requires basic comfort with running Python scripts from a terminal. The project is released under the GNU GPL v3.0 license.
A Python command-line tool that scores and compares AI agency business niches using 32 preloaded profiles.
Mainly HTML. The stack also includes Python.
GPL v3.0 requires that any modified or redistributed versions stay open source under the same license.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.