Whenever I work on a new project, I often need realistic users, products, orders, addresses, and other data.

The annoying part is that creating this data manually can take a surprising amount of time. Basic fake data is easy to generate, but realistic data that actually looks useful for testing and demos takes more effort.

I built AI Sample Data to help with this problem.

I am curious how other developers handle sample data. Do you usually:

Hi Guys,

I am a U.S. Marine and the Founder of LeaseWise.

We're continuing to improve WORK Network with new ways for users to earn and engage.

Recent additions include:

Weekly Rewards
Achievement System
Referral Rewards
Community Competitions
Paid Survey Opportunities

Scaling a data pipeline from 100 requests a day to 10,000 an hour is a completely different game. The proxy setup that worked fine at low volume will break spectacularly at scale. Here's what we learned the hard way.

1. Distribution is everything

Blasting thousands of concurrent requests from the same subnet is a fast track to a ban. At scale, you need to distribute traffic across IPs, regions, and ASNs. The goal is to look like thousands of different users in different locations, not one user with a really fast connection.

2. Implement smart retry with exponential backoff

Every team that runs data pipelines has had that moment: you wake up to a flooded Slack channel, 403s and CAPTCHAs everywhere, and no idea where to start. After too many of those nights, we built a debug checklist. Here's what we run through every time.

1. Check authentication first

Before you blame the proxy network, confirm your credentials are still valid. Did your password expire? Did your IP whitelist change? Proxy auth failures are surprisingly common and take 30 seconds to rule out.

2. Verify the proxy is actually online

The average cost of remittance worldwide is 6.2%. That's ridiculous. Bank transfers within the US have been solved, so theoretically we should be able to do worldwide also.

We're building PureFi, using stablecoins to remit money for a fraction of the cost, and giving it for free to users. We're live in early access to 100 countries. We also have interest free yield of up to 6%, so your money grows.

Hey everyone! I'm Fin, the solo developer behind Wallset.
I've always liked the custom Rofi wallpaper switchers people create for their Linux setups: press a shortcut, get a clean visual grid and switch wallpapers without interrupting your workflow.
I wanted that experience on my Mac but couldn't find anything that felt native, so I built Wallset.
It's a lightweight macOS menu-bar app that lets you:

• Open a visual wallpaper grid with a keyboard shortcut

• Use your existing local collections

• Browse wallpapers from four sources

• Switch with smooth native transitions

The core app is free, with an optional one-time Pro upgrade and no subscription. It's also my first Mac App Store release.
Wallset launches here on Product Hunt tomorrow, July 22. I'd genuinely appreciate feedback: does the "Rofi-style wallpaper switching for Mac" idea make sense even if you haven't used Linux?
More information, videos and a interactive demo on the website: https://wallset.app