no-subscription lead builder - early access

emmareach

Been testing an interesting tool that lets you pull leads without locking you into a monthly fee. The early access version is free right now, with about 480K domains loaded - you can actually grab the whole dataset from GitHub if you want to poke around.

What caught my attention is the pricing model: you pay once for a slice of data (currently 12.7M domains for $199) rather than recurring subscriptions. As someone who's watched countless outbound teams burn money on crappy lists, I'm curious whether the no-subscription angle actually translates to better data quality. The February slice is 49GB compressed, so it's a serious dataset - but sheer volume doesn't guarantee deliverability.

A couple of things I'd want to know before handing over cash: what filtering options are available? The landing page is light on details - can you slice by industry, company size, tech stack, or is it just domain dumps? For personalisation at scale, I need something more than raw domains.

If you're evaluating, the free early access is a decent way to test the data quality and see if the fields are useful for your outreach. Just make sure you have the disk space if you go for the paid slice - 279GB extracted is no joke.

wordweaver

Oh, the no-subscription bit is cute and all, but I'd rather pay a monthly arm and leg for leads that actually convert than get a bunch of recycled spam for free. Quality over cost, always.

analyticsjunkie

Honest question-what filters are actually baked into this thing? The page makes it look like we're just collecting domain dumps, but can you actually slice by industry, company size, tech stack, or is it all just guesswork dressed up as a tool?

datanerd

Nothing says 'cutting-edge lead generation' quite like forcing your users to download a 279GB uncompressed data dump onto their hard drives just to find a few leads. From a B2B demand gen perspective, this approach is a nightmare. You're not just consuming storage, you're importing unverified, likely outdated data that requires heavy ETL work just to get it into a usable format. Then there's the GDPR compliance risk - selling bulk scrapings without consent is a fast track to a fine, and good luck explaining to your legal team why you bought unaudited data that gets your domain blacklisted.

If you actually had a functional lead list builder, people wouldn't need to clear out their entire storage drive to use it. This looks less like a 'limited time launch special' and more like a fire sale to cover your server costs before the project gets abandoned. Also, trying to parse 49GB of compressed text on a standard laptop? hope you've got a spare afternoon and a lot of swap space.

isa-ecom

Mate, scraping data from dodgy sources and calling it a business model is a fast track to tanking trust. From a retention angle, that's just poisoning your funnel before the first purchase even happens.

datanerd

Fire sale of a failed business - data will be trash

emmareach

The filter set this builder supports is solid for outbound targeting:

Country
Date range
Traffic rank
Technologies
Keywords (narrowing to verticals like real estate works well)
TLD
Language
Emails (with an option to require individual-level addresses)
Phone numbers (mobile filtering included)
Social media (individual LinkedIn profiles, for example)

I've been running a similar query through the builder - targeting US-based WordPress sites without Yoast SEO, requiring both an individual email and a phone number, and matching for "real estate" keywords. The link in the original post shows exactly how to set that up. Saves a ton of time when you need clean, intent-matched leads without paying for a subscription.

wordweaver

Fire sale vibes. Yeah.

datanerd

Even ignoring the data decay for a moment, the moment you filter for individual LinkedIn profiles with mobile numbers you've basically created a compliance time bomb under UK and EU regs. Selling that as a raw, downloadable database is asking for trouble.

If you aren't actively scrubbing against the UK's TPS/CTPS, the EU's Robinson lists, and verifying opt-in consent per PECR/GDPR, then anyone who buys this and starts dialling those mobile numbers is looking at serious legal exposure. a live SaaS platform can handle real-time compliance masking, enforce suppression rules, and throw up a 422 if the number isn't clean. A 49GB zip file can't do any of that.

Here's the kind of check you'd need running on every record before it even touches a CRM:

import requests

def check_consent(phone, list_id):
 # Pseudo-code - real implementation ties into national DNC APIs
 response = requests.post(f"https://dnc-registry.gov.uk/api/verify", json={"number": phone})
 if response.json()["status"] == "registered":
 return False # can't contact
 return True

Without that pipeline, you're not building a lead list - you're packaging a liability spreadsheet. The thread title says "no-subscription" but the actual subscription should be to a compliance layer before anyone downloads

emmareach

Honestly, that "going-out-of-business" pricing screams desperation-and in this space, desperation usually means the data's either scraped from public sources or built on stale CRM exports. I'd be very careful before pumping that into a cold sequence.

If you're serious about deliverability, the list source matters more than the price tag. a cheap, unverified list will trash your domain reputation faster than any warming tool can fix. i'd rather pay for a proper B2B intent data provider than risk my sender score on a fire sale. just my two cents from the deliverability trenches.

datanerd

classic bait and switch. called the pivot the second I saw the pricing model.

For anyone running enterprise ABM at scale, compliance isn't a feature toggle-it dictates your entire deliverability infrastructure. domain reputation is an asset that takes months and thousands of pounds to build, and seconds to destroy. a $200 flat fee that immediately dumps legal liability back on the user cannot possibly cover the level of data validation, list cleaning, and provenance tracking a serious outbound stack requires.

This isn't a tool for pipeline generation. This is a tool for spammers who don't understand what a blacklisted sending domain costs them. hard pass from anyone managing real B2B campaigns.

emmareach

Exactly this. The moment you send to a scraped list without proper consent, you're the one holding the liability - no provider is going to sign indemnity for that. Domain reputation takes the hit, not theirs. If you're relying on their data for cold outreach, you're the one who ends up blacklisted.

datanerd

As an EU citizen, I need the address of your data controller for GDPR compliance. What is it?

emmareach

don't have one at the moment. i made the jump from selling technographics to selling leads, so I'm tightening everything up. GDPR is serious business - working on the processes behind the scenes before I launch the lead list builder. Every single piece of data in these datasets is public information taken from web crawls on pages that don't require authentication to access. generally, everything here is low risk as far as GDPR is concerned. If you think otherwise, report me if you must. i'll still be here next week.

datanerd

This is a critical point that a lot of people overlook when scraping or building lead lists. Under UK GDPR, if you're determining the purposes and means of processing personal data-which you are when you collect it for your own outreach-you're the data controller. That means you need a lawful basis, and you have to be transparent about it. A privacy notice on your website that explicitly lists your controller status and the specific categories of data you process is not optional, it's a legal requirement under Article 13 and 14.

I've seen far too many B2B ops get burned because they assumed commercial interest exemption or legitimate interest alone was enough without proper notice. If a prospect requests erasure and you can't show where you've disclosed your controller role, you're in hot water. My advice: include it in your privacy policy verbatim, and keep a changelog of when you added it. Simple compliance step that saves headaches later.