statapp

• 

  reports generated

• 

  zerve ai dashboard report

• 

  insights from the app

• 

  block representation on zerve dashboard

• 

  canvas view

• 

  hosted webapp

Inspiration

This project started from a very real pain point: founders hate writing investor updates, and VCs often evaluate startups with incomplete, inconsistent information. I wanted to build one product that serves both sides of that loop: founders get help communicating progress clearly and consistently, and VCs get structured, comparable startup signals for faster decisions.

What it does

The platform turns raw monthly metrics into polished updates and uses a hugging face dataset to score startup viability and spot risk earlier. All this is made possible by Zerve_AI end to end data pipeline, from importing supabase data, to intergrating the huggingface dataset and finally churning out actionable data.

How I built it

The project is built with a number of tech in play. For easier data collection and proper reporting for everyone else, we have a web platform built using nextjs and supabase with clerk for authentication. On Zerve AI dashboard, I prompted the required data flow and the pipeline is built whose flow canvas can be seen on the attached zerve public project.

Challenges I ran into

Building tokenized shared views while keeping secure boundaries took careful API and page design.

Accomplishments that I am proud of

Having the project public on zerve. Being able to build an end to end pipeline for data processing and reporting.

What I learned

AI feature is not enough, what matters is how reliably it plugs into a complete operational flow. Data Model decisions earlier on strongly affect what insights are possible later.

What's next for statapp

The project will evolve into a SaaS product for startups everywhere, including an affordable subscription model.

Built With

• clerk
• fastapi
• nextjs
• supabase
• zerveai