The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Just wrapped up AutoReport — a multi-user report automation platform, and honestly the project I'm most proud of from this recent build streak.
The idea is simple: connect a data source (CSV, API, or a database), set a schedule, and get your report delivered automatically via Telegram or email. No manual generation, no forgetting to send it.
Built with FastAPI, Streamlit, PostgreSQL, and APScheduler for the scheduling. Fully containerized, 45 passing tests, and a dashboard that covers the whole flow from data source to delivery.
This closes out a 5-project series where each one pushed a bit further — from CLI tools to a real-time platform with WebSockets, and now this. If you're a small business or team drowning in manual reporting, this is basically the tool I wish existed already.
Open to freelance work if this is the kind of thing you need built for your own data/workflow.
github.com
GitHub - rizalcodes/autoreport: Multi-user SaaS-lite report automation platform — add a data source (CSV/API/DB), schedule daily/weekly/monthly reports, and receive them automatically via Telegram or email. Built with FastAPI, Streamlit, PostgreSQL, and APScheduler.
Multi-user SaaS-lite report automation platform — add a data source (CSV/API/DB), schedule daily/weekly/monthly reports, and receive them automatically via Telegram or email. Built with FastAPI, St…
This is the kind of automation that creates operational leverage. The interesting part isn’t just scheduled report delivery—it’s creating a reliable reporting pipeline that removes manual dependencies and makes decision-making more consistent. Curious whether you’re also storing...
good question — right now it's stateless, each run just generates + delivers. but you're right, storing snapshots would unlock trend analysis and give an audit trail. adding that to the list. appreciate the push on this
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
I built Universal CSV Dashboard to make business data analysis faster and more accessible.
Upload a CSV and turn raw data into executive metrics, data-quality checks, trends, interactive analysis and actionable business insights — in under 60 seconds.
Built with Python + Streamlit, and now available as a free open-source tool.
If you work with sales, e-commerce, operations, inventory or other structured business data, feel free to try it.
Feedback is very welcome — I’m continuing to improve it. 🚀
A small milestone I’m really proud of.
I’ve taught 15+ AI lessons to 10+ students on Preply, helping people use AI more effectively for work, learning, and everyday life.
And I’ve received my first 2 positive reviews. ❤️
Still early, but I genuinely love this: making AI practical and useful for real people.
If you’ve been wanting to learn AI, I’m offering 30% OFF through my referral link.
Let’s learn, build, and automate. 🤖
#AI #AITutor #ArtificialIntelligence #Learning #Contra
This is the difference between automation and an AI agent. 🤖
A traditional automation says:
“When X happens → do A → then B → then C.”
It’s predictable, reliable, and perfect for repetitive processes. But what happens when the next step isn’t always the same? That’s where an AI agent comes in.
Instead of following one fixed path, an agent can:
→ Understand the goal
→ Analyze the situation
→ Decide what information it needs
→ Choose the right tool
→ Take an action
→ Check the result
→ Decide what to do next
For example, imagine a lead-generation workflow in n8n.
Traditional automation:
New lead → Scrape website → Find email → Add to CRM → Send email
Every lead follows the same path.
Agentic workflow:
New lead → AI Agent
The agent decides:
🔎 Does this company fit the target profile?
🌐 Should I research the website further?
📊 Is there enough information to qualify the lead?
✉️ Should I generate a personalized message?
⚠️ Is human approval needed before outreach?
The workflow becomes goal-driven instead of purely step-driven.
And this doesn't mean replacing automation.
The most powerful systems combine both:
n8n handles the reliable execution.
AI handles decisions where the path isn't always predictable.
That’s what makes an agentic workflow different from simply adding ChatGPT to an automation.
The future isn't: Automation OR AI
It's: Automation + AI agents + the right tools.
Great visual! "Automation does the work, AI agent decides the work" is probably the clearest way to explain this shift to clients.