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Demo project: a Python script that turns the table in a 2-page PDF invoice into one Excel sheet. It drops the header that repeats on page 2, stores amounts as real numbers, and adds a Check sheet that compares the total with the subtotal printed in the PDF. The data is made up. If you get PDFs like this every week, I can do this for you.
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
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A calculator that runs by itself is a clever way to show the product without asking anyone to read. Watching a price turn into an invoice explains the value instantly.
Not every failed workflow should wake you up.
A free prompt for anyone running n8n in production: list your workflows (what each does, who depends on it, how often it runs) and it sorts each one into page now, Slack during working hours, or a daily digest. It quotes the phrase from your list behind every call, asks who depends on a workflow when you didn't say, and asks you for any threshold instead of inventing one. Written to match my prompt packs.
For the alerting itself, my n8n Error Alerts & Retry Kit gives you a global error handler with dedupe and an hourly cap, plus a retry-with-backoff sub-workflow. $29.99 in my Contra products.
#n8n #n8ntemplate #errorhandling #slack
Finding a lead is only half the job. The other half is getting back to them before they go cold.
That’s why I built Skip Nest around both. Property data and storm updates sit on one live map, and the AI bots pick up the conversations from there, answering, qualifying and following up so your team only steps in when it counts.
It took a lot of trial and error to get the map and the bots working off the same data, but it’s the part I’m happiest with.
Quick question: when you’re chasing leads, where do you lose the most time? Finding them, getting contact info, or the follow-up?
