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ChatAE Canvas
The fastest way to build GTM apps, agents, and automations
GTM teams are stuck choosing between AI tools that are easy but shallow (internal GPTs, vibe coding platforms) or powerful but too technical (Claude Code). Canvas eliminates that tradeoff. It gives your entire team the power to build real apps, agents, and automations, with GTM tools preloaded and no infra to manage. Give your whole team the power to build, and your org the ability to scale what works.
Hey Product Hunt! Dustin here, founder of ChatAE. We’ve been building AI tools for revenue teams for a while now, and Canvas comes from a pattern we kept seeing:
GTM teams are already trying to build with AI. Reps have prompts for account research. Marketers have workflows for campaign copy. Someone in RevOps is stitching together signals from a few systems. But it stays fragmented — one-off experiments owned by a handful of power users that never become something the whole team runs on.
The tools out there force a tradeoff: easy but shallow (e.g. internal GPTs, vibe code platforms) or powerful but too technical (e.g. Claude Code). And neither side has the built-in GTM context and tools needed to build quickly.
That’s the gap Canvas is built to close. Two things make it different:
🔧 Truly GTM-native — Canvas comes preloaded with the GTM skills, services (e.g. enrichment, email, signals, etc.) and integrations revenue teams need. You’re not starting from a blank terminal.
🔗 Done-for-you infrastructure — Everything you build produces hosted, customer-facing outputs. Personalized landing pages, deal rooms, recap videos, executive briefs — your rep gets a URL and sends it to a buyer. No hosting or deploy step, no agent infrastructure to maintain.
Who it’s for:
•Sales reps monitoring their accounts, running prospecting workflows, and building customer-facing artifacts
•RevOps and GTM engineers building pipeline analyzers, territory models, and trigger-based automations
•CS teams building QBR prep, renewal tracking, and expansion planning tools
•Marketing teams looking to create personalized ABM campaigns at scale with tailored customer-facing content for each account
•Managers who want to turn their best reps’ processes into repeatable systems for the whole team
We’re launching today and would genuinely love your feedback — especially on what use cases you’d want to see built first.
I’m also here to answer any questions you might have :) Drop us a comment below!
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About ChatAE Canvas on Product Hunt
“The fastest way to build GTM apps, agents, and automations”
ChatAE Canvas was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #7 on the daily leaderboard. GTM teams are stuck choosing between AI tools that are easy but shallow (internal GPTs, vibe coding platforms) or powerful but too technical (Claude Code). Canvas eliminates that tradeoff. It gives your entire team the power to build real apps, agents, and automations, with GTM tools preloaded and no infra to manage. Give your whole team the power to build, and your org the ability to scale what works.
ChatAE Canvas was featured in Productivity (651.8k followers), Sales (21.8k followers) and Artificial Intelligence (468.6k followers) on Product Hunt. Together, these topics include over 235.6k products, making this a competitive space to launch in.
Who hunted ChatAE Canvas?
ChatAE Canvas was hunted by Dustin Beaudoin. 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.
Want to see how ChatAE Canvas stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dustin Beaudoin