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Re: undefined

#11

Post by raywatcher »

bugsMarathon88 wrote: post #6

What study has been performed to qualify the cost your product externalizes on the unsuspecting user, with their expectations of privacy, human dignity and all, o' great team of PhDs?

We’re not externalizing costs onto users because our demand inference uses only qualified, high‑precision intelligence to eliminate massive spam and irrelevant outreach that wastes everyone’s time and erodes trust. We conducted user interviews upfront to understand these pain points before we started building. By focusing solely on B2B, we reduce noise, protect privacy, and respect people rather than treating them like targets.

Re: undefined

#13

Post by WillQuinn »

This seems like an interesting approach and automating visitor qualification is definitely useful. But quick question though, once you drop in that “single line” of code, how soon can a team expect to see their first qualified leads?

Re: undefined

#14

Post by Aurornis »

raywatcher wrote: post #7
kstrauser wrote: post #3

That’s amazing and horrifying. Do you want to use an Internet where every website is tracking you like this? Why would you release this?

Thanks for bringing this up. We don’t collect personal data or process any PII. We only enrich qualified, high‑intent buyer intelligence, and we do so solely for B2B. Some GTM vendors have experimented in this space, but we focus on AI‑native demand inference with far greater precision and efficiency, while always following strict safety and privacy practices.

> We don’t invade personal privacy. We only enrich qualified, high‑intent buyer intelligence,

This is some fascinating mental gymnastics.

Re: undefined

#15

Post by orangecat »

Four of our five team members hold PhDs in statistical inference or related fields

Possibly the worst aspect of the adtech industry is that it encourages smart people to devote their talents to spying on people rather than doing things that would actually benefit humanity.

Re: undefined

#17

Post by [deleted] »

orangecat wrote: post #15

Four of our five team members hold PhDs in statistical inference or related fields Possibly the worst aspect of the adtech industry is that it encourages smart people to devote their talents to spying on people rather than doing things that would actually benefit humanity.

[deleted]

Re: undefined

#18

Post by [deleted] »

Aurornis wrote: post #14
raywatcher wrote: post #7

Earlier quoted context omitted.

Thanks for bringing this up. We don’t collect personal data or process any PII. We only enrich qualified, high‑intent buyer intelligence, and we do so solely for B2B. Some GTM vendors have experimented in this space, but we focus on AI‑native demand inference with far greater precision and efficiency, while always following strict safety and privacy practices.

> We don’t invade personal privacy. We only enrich qualified, high‑intent buyer intelligence, This is some fascinating mental gymnastics.

[deleted]

Re: undefined

#19

Post by yodon »

raywatcher wrote: post #9
kstrauser wrote: post #5

Earlier quoted context omitted.

Alas. And so is dumping waste into rivers, but I hope people will continue to tell the people doing it that they’re wrong for doing so.

Profit alone isn’t the motivation. Unlike polluting rivers, our goal isn’t to externalize costs onto society or the environment. We see a real problem: B2B teams waste massive time and budgets chasing unqualified leads, spamming prospects, and burning through acquisition dollars. By delivering truly high‑precision demand intelligence, we help businesses focus only on the buyers who actually want to talk, cutting down…

One day you'll look back on how this technology is being used for actual real evil, and have to deal with the fact that your early naivety about the "value" you were bringing helped get us to that point.

Re: undefined

#20

Post by bugsMarathon88 »

raywatcher wrote: post #11
bugsMarathon88 wrote: post #6

What study has been performed to qualify the cost your product externalizes on the unsuspecting user, with their expectations of privacy, human dignity and all, o' great team of PhDs?

We’re not externalizing costs onto users because our demand inference uses only qualified, high‑precision intelligence to eliminate massive spam and irrelevant outreach that wastes everyone’s time and erodes trust. We conducted user interviews upfront to understand these pain points before we started building. By focusing solely on B2B, we reduce noise, protect privacy, and respect people rather than treating them li…

> our demand inference uses only qualified, high‑precision intelligence to eliminate massive spam

I recommend taking the Voight-Kampff test yourself.

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