RangeLead exists because of one quiet problem most teams don’t like to talk about 👀
Before anything works, someone has to deal with raw data.
What usually happens instead 👇
🧩 manual scraping
🗂️ messy CSV files
❓ questionable lead lists
⏳ hours lost before real work even starts
So I flipped the approach.
Instead of building another tool, I built the input 🔧
What you get with RangeLead 👇
📍 ready-made US business lead datasets
🔎 simple niche + location filtering
📤 instant export, use it anywhere
🧼 already cleaned and structured
What you don’t get ❌
🚫 long onboarding
🚫 bloated dashboards
🚫 AI hype you don’t need
It’s boring work.
It doesn’t demo well.
But it saves a lot of time and that’s the point.
Would love honest feedback, questions, or criticism 🙌
Curious how others here handle the data before product problem 🚀

The angle here is really smart — pre-built lead datasets with niche + location filtering tackles the biggest pain point in outbound: getting clean data before you even start prospecting. Most tools make you scrape and clean yourself, which kills momentum. Curious whether you plan to expand beyond US businesses or add intent signals to the filtering?

The angle here is really smart — pre-built lead datasets with niche + location filtering tackles the biggest pain point in outbound: getting clean data before you even start prospecting. Most tools make you scrape and clean yourself, which kills momentum. Curious whether you plan to expand beyond US businesses or add intent signals to the filtering?
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