finta-local-dev-loop

name	finta-local-dev-loop
description	Set up Finta workflow automation and data export for local analysis. Use when building fundraising reports, exporting pipeline data, or automating investor outreach workflows. Trigger with phrases like "finta workflow", "finta automation", "finta data export", "finta reporting".
allowed-tools	Read, Write, Edit, Bash(python3:*), Grep
version	1.7.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","fundraising-crm","investor-management","finta"]
compatibility	Designed for Claude Code

Finta Local Dev Loop

Overview

Finta is primarily UI-driven without a public API. For local automation, use CSV exports from Finta combined with Python scripts for analysis, reporting, and integration with other tools.

Instructions

Export Pipeline Data

1. In Finta, go to Pipeline > Export > CSV
2. Save as pipeline-export.csv

Analyze Fundraise Pipeline

import pandas as pd
from datetime import datetime

# Load Finta export
df = pd.read_csv("pipeline-export.csv")

# Pipeline summary
summary = df.groupby("Stage").agg(
    count=("Name", "count"),
    avg_check=("Check Size", "mean"),
).reset_index()

print("Pipeline Summary:")
print(summary.to_string(index=False))

# Conversion rates
stages = ["Researching", "Reaching Out", "Intro Meeting", "Follow-up", "Due Diligence", "Term Sheet", "Closed"]
for i in range(len(stages) - 1):
    current = len(df[df["Stage"] == stages[i]])
    next_stage = len(df[df["Stage"] == stages[i+1]])
    rate = (next_stage / current * 100) if current > 0 else 0
    ()