Banger
The email automation your AI runs.
AI & Machine Learning·Marketing·Communication
What is Banger?
Banger is an AI-native email platform for businesses. It combines real mailboxes, transactional email and marketing automation in one system, and lets AI agents like ChatGPT and Claude operate it through MCP and a REST API.
Connect ChatGPT, Claude, Grok, Hermes or OpenClaw to Banger's remote MCP server once, then ask in plain words: "wire the signup event to a welcome sequence", "set up billing@ and send a test receipt", "summarize the replies and draft follow-ups for anyone at risk of churning". Developers can send the same product email from their own code with the REST API and webhooks.
Everything in one place
Mailboxes: real addresses on your domain, free and unlimited, with a shared inbox your team and your AI both work from.
Journeys: onboarding, cart recovery, dunning and win-back flows triggered by your product's events.
Broadcasts: newsletters and launch announcements with A/B tests.
Product email: receipts, password resets and auth emails with delivery monitoring.
You stay in control: a web app shows everything your AI did, you can take over any time, and a new Journey only starts after a person approves it. Free to start; paid plans from $5/month billed annually, with every feature on every plan.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
if you keep going on trial and error I think that's when you get to these incantations because uh you I maybe I think after you've been working on that problem for too long and you seen too many versions of the same thing you start to get weird and uh you know that's when you start casting spells
Trial-and-error past the working point turns into casting spells
There's a window where iterating on a prompt is productive — after that, it turns into superstition. Tweaking the same prompt for hours produces longer, weirder text that feels powerful but is just correlation mistaken for causation. Get to 'working okay' fast, then switch out of trial-and-error into systematic A/B testing across 100 runs per variant.
When I mentioned LangChain and Pinecone… it made sense for them to push it too because no one else was building stuff like this on their platforms yet… it created this viral loop.
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There's a play for whatever you're stuck on.
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