Project Info

Segmind

Devpost

Inspiration

We saw Segment, a past YC company, and thought, what if we took that idea further? Segmind reimagines customer analytics with AI, turning fragmented data into real-time insights and automatically generated campaigns.

What it does

Segmind analyzes customer behavior, segments audiences with AI, and auto-generates personalized campaigns that actually convert. It’s like ChatGPT for your marketing data.

How we built it

We used FastAPI, React, and PostgreSQL with GPT-powered insight generation and clustering models built on Scikit-learn. The result is a real-time, full-stack marketing intelligence platform.

Challenges we ran into

Balancing automation with interpretability was tough, we wanted the AI to feel smart and transparent. Integrating live insights without overwhelming users was another key design challenge.

Accomplishments we're proud of

We built a production-ready AI dashboard in under 48 hours that generates real campaigns and visualizes segment behavior live. The UX feels like something a real startup could ship.

What we learned

Great AI tools aren’t just about accuracy, they’re about clarity, trust, and speed. We learned how to merge data science with great design.

What's next

We’re improving our customer analytics engine to capture deeper behavioral patterns and lifetime value predictions. Next, we’ll finish training custom ad-generation models to create hyper-personalized, conversion-optimized campaigns at scale.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • FastAPIIn code
  • JavaScriptIn code
  • Next.jsIn code
  • PythonIn code
  • ReactIn code
  • RedisIn code
  • SupabaseIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • C++Claimed

10 of 11 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

1.1 MB

Source files

92

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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