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!
About Cockpit AI on Product Hunt
“Run revenue agents across every channel”
Cockpit AI launched on Product Hunt on March 27th, 2026 and earned 238 upvotes and 31 comments, placing #5 on the daily leaderboard. Deploy AI revenue agents that research prospects, personalize outreach, follow up across channels, and book meetings using your inbox, contacts, docs, and calendar.
On the analytics side, Cockpit AI competes within Artificial Intelligence — topics that collectively have 466.2k followers on Product Hunt. The dashboard above tracks how Cockpit AI performed against the three products that launched closest to it on the same day.
Who hunted Cockpit AI?
Cockpit AI was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Cockpit AI including community comment highlights and product details, visit the product overview.
Ben Lang
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!