Deploy AI revenue agents that research prospects, personalize outreach, follow up across channels, and book meetings using your inbox, contacts, docs, and calendar.
I've spent the last decade studying the line between engagement and spam across social networks.
The insight is simple... more engagement, less spam. Less engagement, more spam.
Here's the problem...
Everyone added "personalization." First name, company name, hiring signals, funding rounds. When everyone uses the same signals in the same fixed workflows, it's spam again.
The signal is dead the moment it's commoditized.
But when you share something genuinely useful about a prospect's market -- what their competitors are doing, how their landscape is shifting, what's working for their peers -- they engage naturally.
It's not a pitch. It's information they actually want.
Thinking models made this possible... Each agent spends 200K tokens researching a batch of prospects at a time -- a real research window.
It starts from a lookalike audience -- what are their peers doing, who are their competitors, what's shifting in their market. From that base, the agent autonomously decides which signal actually matters for each specific person.
The agent picks the angle.. not a fixed workflow, not a rule someone wrote.
With Cockpit.. You're the manager... Your AI agents become your highest quality team.
Give your agents a few example companies, and they go to work:
Research prospects and their competitors across the web
Decide which signal matters most for each prospect
Write outreach built around that narrative — not a template
Generate a unique proposal doc for each prospect
Track engagement (scroll depth, time on page), adapt follow-ups
Book meetings on your calendar
Imagine if one user manages 10 agents... what a team of 10 can do — across every channel, around the clock?
Since launching mid-December 2025:
102,000+ contacts researched and engaged
41,000+ personalized docs generated for those contacts
37,000+ autonomous agent conversations across email and LinkedIn (more channels coming soon)
1.7B tokens consumed — agents doing sustained autonomous work
73% average scroll depth on personalized docs
Built for deliverability... Automated email warmup, anti-spam protection, compliance guardrails, and infrastructure deployed on your company's domain — not a shared sending pool.
We use Cockpit to grow Cockpit. Our agents book our meetings. That's the credibility test — if it doesn't work for us, we have no business selling it to you.
Would love your feedback!
Report
@ravivadrevu_ With your agents autonomously picking angles from competitor moves/peers, how do you ensure they avoid hallucinated "insights" that could backfire on deliverability or trust?
Hey @swati_paliwal In Cockpit, the agent isn’t generating “insights,” it’s deciding which real signal actually matters. It starts from competitors, peers, and what’s shifting in the market, then picks something real to anchor on. So it’s not inventing context, it’s selecting from context that already exists, and every message ties back to that signal. That’s how we avoid hallucinated angles and keep the outreach credible.
@swati_paliwal Thank you for checking us out today! Hope we answered your questions.
Report
I am curios to know what kind of results were your existing users able to achieve with Cockpit AI? The idea sounds good but want to know how it translates in to real world?
Hey @nayan_surya98 , it shows initial traction in 1 week, and ROI in 3 weeks (we've seen use cases with 10X ROI in 3 weeks). Two things drive this consistently. First, the agent builds your target audience from the firmographic traits of your best customers, so there's no guesswork on who to reach. Second, for every touchpoint it picks a fresh signal specific to that prospect's company, not the same message reworded.
Right person, right signal. That's what moves the needle.
@nayan_surya98 Thank you for that question, hope we answered it!
Report
💡 Bright idea
This resonates — we run agents for outreach too. When the model picks its own angle, can we peek at the research outline before it crafts the email so we can align the storytelling with our positioning?
@ilya_lee Glad to hear that you run agents for outreach. You can create your own workflow using docs, that's the beauty of AI-native apps. The context is cross shared, and as a user you index the right doc for the right set of rules.
Many of our customers choose their own style of language, research guidelines, follow-ups etc.
@ilya_lee Yes, absolutely. The way it works is the human stays in control of the narrative. You pick which doc the agent uses as context, you decide what to share and when. The agent then researches the prospect and picks the most relevant signal to open with.
So the storytelling is always anchored to your positioning. The agent doesn't go off-script, it finds the best entry point into the conversation you've already defined.
Replies
Cockpit AI
Hey Product Hunt!
I'm Ravi, founder of Cockpit AI.
I've spent the last decade studying the line between engagement and spam across social networks.
The insight is simple... more engagement, less spam. Less engagement, more spam.
Here's the problem...
Everyone added "personalization." First name, company name, hiring signals, funding rounds. When everyone uses the same signals in the same fixed workflows, it's spam again.
The signal is dead the moment it's commoditized.
But when you share something genuinely useful about a prospect's market -- what their competitors are doing, how their landscape is shifting, what's working for their peers -- they engage naturally.
It's not a pitch. It's information they actually want.
Thinking models made this possible... Each agent spends 200K tokens researching a batch of prospects at a time -- a real research window.
It starts from a lookalike audience -- what are their peers doing, who are their competitors, what's shifting in their market. From that base, the agent autonomously decides which signal actually matters for each specific person.
The agent picks the angle.. not a fixed workflow, not a rule someone wrote.
With Cockpit.. You're the manager... Your AI agents become your highest quality team.
Give your agents a few example companies, and they go to work:
Research prospects and their competitors across the web
Decide which signal matters most for each prospect
Write outreach built around that narrative — not a template
Generate a unique proposal doc for each prospect
Track engagement (scroll depth, time on page), adapt follow-ups
Book meetings on your calendar
Imagine if one user manages 10 agents... what a team of 10 can do — across every channel, around the clock?
Since launching mid-December 2025:
102,000+ contacts researched and engaged
41,000+ personalized docs generated for those contacts
37,000+ autonomous agent conversations across email and LinkedIn (more channels coming soon)
1.7B tokens consumed — agents doing sustained autonomous work
73% average scroll depth on personalized docs
Built for deliverability... Automated email warmup, anti-spam protection, compliance guardrails, and infrastructure deployed on your company's domain — not a shared sending pool.
We use Cockpit to grow Cockpit. Our agents book our meetings. That's the credibility test — if it doesn't work for us, we have no business selling it to you.
Would love your feedback!
@ravivadrevu_ With your agents autonomously picking angles from competitor moves/peers, how do you ensure they avoid hallucinated "insights" that could backfire on deliverability or trust?
Cockpit AI
Hey @swati_paliwal In Cockpit, the agent isn’t generating “insights,” it’s deciding which real signal actually matters. It starts from competitors, peers, and what’s shifting in the market, then picks something real to anchor on. So it’s not inventing context, it’s selecting from context that already exists, and every message ties back to that signal. That’s how we avoid hallucinated angles and keep the outreach credible.
@vinay_loves_agents Lovely, thanks for the response!
Cockpit AI
@swati_paliwal Thank you for checking us out today! Hope we answered your questions.
I am curios to know what kind of results were your existing users able to achieve with Cockpit AI? The idea sounds good but want to know how it translates in to real world?
Cockpit AI
Hey @nayan_surya98 , it shows initial traction in 1 week, and ROI in 3 weeks (we've seen use cases with 10X ROI in 3 weeks).
Two things drive this consistently. First, the agent builds your target audience from the firmographic traits of your best customers, so there's no guesswork on who to reach. Second, for every touchpoint it picks a fresh signal specific to that prospect's company, not the same message reworded.
Right person, right signal. That's what moves the needle.
Cockpit AI
@nayan_surya98 Thank you for that question, hope we answered it!
This resonates — we run agents for outreach too. When the model picks its own angle, can we peek at the research outline before it crafts the email so we can align the storytelling with our positioning?
Cockpit AI
@ilya_lee Glad to hear that you run agents for outreach. You can create your own workflow using docs, that's the beauty of AI-native apps. The context is cross shared, and as a user you index the right doc for the right set of rules.
Many of our customers choose their own style of language, research guidelines, follow-ups etc.
Cockpit AI
@ilya_lee Yes, absolutely. The way it works is the human stays in control of the narrative. You pick which doc the agent uses as context, you decide what to share and when. The agent then researches the prospect and picks the most relevant signal to open with.
So the storytelling is always anchored to your positioning. The agent doesn't go off-script, it finds the best entry point into the conversation you've already defined.