u/ARLA5

I’m building something in GTM space for the last 6 months, and I’m trying to sanity-check the core thesis.

Most GTM engineering / signal tools today feel like they are built for RevOps teams, operators, or founders.

But the actual salesperson still lives inside Gmail, Outlook, Teams, Slack, Calendar, and CRM.

Our thesis is:

Sales teams do not need another dashboard showing more signals.
They need those signals converted into clear actions inside the tools they already use.

So instead of only saying:

“this account visited your website”
“this company is hiring”
“this prospect engaged on LinkedIn”
“this deal has gone cold”

We want to turn those signals into workflows like:

1. Lookalike / signal-based outbound
2. LinkedIn intent outbound
3. Website visitor follow-up
4. Closed-lost account revival
5. Account growth opportunities
6. Meeting prep + CRM summaries
7. Pipeline health and risk alerts

The backend is signal capture and orchestration + a company brain on claude

The frontend is a simple UI/plugin inside the seller’s daily workflow, especially Gmail, Outlook, Teams, Slack, and Calendar.

The question I’m trying to answer:

Is this a real enough pain for sales teams, or does it still sound like another “AI for sales” product?

Would love brutal feedback from founders, sales leaders, RevOps people, or anyone who has tried to solve this internally.

’m building something in GTM space for the last 6 months, and I’m trying to sanity-check the core thesis.

Most GTM engineering / signal tools today feel like they are built for RevOps teams, operators, or founders.

But the actual salesperson still lives inside Gmail, Outlook, Teams, Slack, Calendar, and CRM.

Our thesis is:

Sales teams do not need another dashboard showing more signals.
They need those signals converted into clear actions inside the tools they already use.

So instead of only saying:

“this account visited your website”
“this company is hiring”
“this prospect engaged on LinkedIn”
“this deal has gone cold”

We want to turn those signals into workflows like:

1. Lookalike / signal-based outbound
2. LinkedIn intent outbound
3. Website visitor follow-up
4. Closed-lost account revival
5. Account growth opportunities
6. Meeting prep + CRM summaries
7. Pipeline health and risk alerts

The backend is signal capture and orchestration.

The frontend is a simple UI/plugin inside the seller’s daily workflow, especially Gmail, Outlook, Teams, Slack, and Calendar.

The question I’m trying to answer:

Is this a real enough pain for sales teams, or does it still sound like another “AI for sales” product?

Would love brutal feedback from founders, sales leaders, RevOps people, or anyone who has tried to solve this internally.

I’m building something in GTM space for the last 6 months, and I’m trying to sanity-check the core thesis.

Most GTM engineering / signal tools today feel like they are built for RevOps teams, operators, or founders.

But the actual salesperson still lives inside Gmail, Outlook, Teams, Slack, Calendar, and CRM.

Our thesis is:

Sales teams do not need another dashboard showing more signals.
They need those signals converted into clear actions inside the tools they already use.

So instead of only saying:

“this account visited your website”
“this company is hiring”
“this prospect engaged on LinkedIn”
“this deal has gone cold”

We want to turn those signals into workflows like:

1. Lookalike / signal-based outbound
2. LinkedIn intent outbound
3. Website visitor follow-up
4. Closed-lost account revival
5. Account growth opportunities
6. Meeting prep + CRM summaries
7. Pipeline health and risk alerts

The backend is signal capture and orchestration.

The frontend is a simple UI/plugin inside the seller’s daily workflow, especially Gmail, Outlook, Teams, Slack, and Calendar.

The question I’m trying to answer:

Is this a real enough pain for sales teams, or does it still sound like another “AI for sales” product?

Would love brutal feedback from founders, sales leaders, RevOps people, or anyone who has tried to solve this internally.

Spuriq.ai

Have a car, anyone up for an impromptu trip?

M32, have a car - need someone to share driving duties

I am planning an outbound campaign across 7 to 8 ICP segments and need around 10,000 enriched contacts.

One GTM engineer estimated this would cost around $1.5K to $2.5K using tools like Clay, with roughly 17K to 18K Clay credits needed.

But I found a freelancer who says he can give me the same kind of enriched data for $500. I tried a smaller dataset from him earlier, around 1,500 contacts, and it did get some out of offices and a few replies, so it wasn’t completely fake.

I am just not sure what the catch is.

What is the best way to validate this kind of data before using it at scale? Would you sample check LinkedIn profiles, verify emails, test bounce rate, check current company and role, or something else?

Trying to avoid burning domains or wasting weeks on bad data.