Hey Hunters

I'm Taylor, based in Alberta, Canada. I built RightsRadar because I kept watching the same scene play out: someone charged with an offence, sitting across a kitchen table from a stack of police disclosure they were never going to read and lawyers charging $300 $500/hour to read it for them.

What it does: Upload your disclosure (PDFs, scanned pages, photos of pages, Word docs OCR is built in) and RightsRadar returns a plain-English list of potential Charter (Canada) or Constitutional (US) issues, with the exact page and quote each one came from. Things like:

• Arbitrary detention (s.9 Charter / 4th Amdt.)

• Right to counsel breaches (s.10(b) / Miranda)

• Search & seizure problems (s.8 / 4th Amdt.)

• Disclosure gaps (Stinchcombe / Brady)

• Confession voluntariness (s.7 / 5th Amdt.)

@Local Bridge

FounderFlow is still pre-launch, and I keep going back and forth on whether to just open a public signup. I decided against it, at least for now. Instead I am onboarding the first 30 founding members myself, one at a time, because the thing I am building only works if it actually understands your specific businesses, not a generic template of one.

FounderFlow is your AI Executive Chief of Staff. It watches your business, identifies what matters, protects your revenue, and tells you exactly what to do next.

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

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