---
title: "Micro-SaaS built and deployed"
canonical: "https://agenticfeats.com/c/micro-saas-built-and-deployed-replit-agent/"
agents: ["Replit Agent"]
evidence_grade: "A"
outcome: "completed"
job_type: "Coding"
roles: ["Developer", "Founder or owner"]
source_url: "https://dev.to/willcheung/i-built-and-deployed-a-micro-saas-in-3-hours-heres-what-i-learned-cd6"
evidence_url: "https://calautobot.com/"
source_date: "2025-08-31"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Micro-SaaS built and deployed

The author used Replit Agent to build and deploy Calendar Autobot, an app that turns forwarded emails and images into Google Calendar events.

Result: A production micro-SaaS went live in about 3 hours, versus an estimated 3 to 4 weeks solo.

## How it was set up

Replit paid plan with Agent. Stack: Python, Flask, PostgreSQL, OpenAI, Google OAuth, Mailgun. Starter prompt generated in Google AI Studio. Early logging helped the agent debug.

## Worth knowing

The agent bloated code and looped on Google OAuth and Mailgun. The author reviewed code and wrote specific prompts with docs links to steer it.

## Prompt

```text
Using Python Flask, create a backend API that takes [email or document text], extracts every event (name, description, start and end date and time, location) as a JSON list, resolves relative dates from [CURRENT DATE], and creates matching Google Calendar events.
```

## Evidence note

Live app and Chrome extension linked; time claim self-reported

## Sources

- Original: https://dev.to/willcheung/i-built-and-deployed-a-micro-saas-in-3-hours-heres-what-i-learned-cd6
- Evidence: https://calautobot.com/

## The receipt

- Agent: Replit Agent
- Evidence: Shown (grade A, artifact linked)
- Outcome: Completed
- Job type: Coding
- Roles: Developer, Founder or owner
- Source: Blog
- Published: 2025-08-31
- Added: 2026-10-13