Gigacatalyst
Give your Sales and CS teams engineering superpowers
738 followers
Give your Sales and CS teams engineering superpowers
738 followers
Gigacatalyst.com's AI builder learns your APIs and embeds in your product, so your sales and CS teams can build missing features that customers need to your platform. When your software adapts to every customer's workflow, they utilize your software more, retain for longer, and expand quicker, because they get most custom implementation for their exact usecase.
Gigacatalyst
Hi everyone, I’m Namanyay from Gigacatalyst (https://gigacatalyst.com/). Gigacatalyst allows sales, CS, and users to build one-off features, so your SaaS can support long-tail customer workflows and engineers aren’t pulled away from the roadmap.
When you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps or the customers end up using workarounds.
But what if everyone could build their critical missing features just by talking to an AI? That’s what we do at Gigacatalyst. We provide an AI customization layer for your customers, CS team, and sales team to build these missing critical workflows without needing any engineers at all. Think Lovable, but built on top of YOUR platform.
We connect to your product's APIs, learn your data model and design system, and let non-technical users build governed apps via natural language - inside your product, under your brand.
the customer retention angle makes sense but the risk is that custom implementations per customer make your product harder to maintain over time not easier. every bespoke workflow is technical debt someone has to own eventually. curious whether the customizations are sandboxed per customer or if they can affect the core product
Gigacatalyst
@ansari_adin everything is indeed sandboxed, Ansari! we are live at 2,500 active users for multiple companies
The idea of letting non-engineers build features is genuinely compelling. But what happens when your API changes six months later and a customer's custom workflow breaks? Who owns that - you, the customer, or Gigacatalyst?
Congrats on the launch!
Gigacatalyst
@jared_salois thank you! we create a proxied, pinned API layer that can handle the base API changing. We've rolled it out to our Series B customers. Happy to talk more at cal.com/namanyayg!
Pod
Giving non-technical users technical powers is super powerful... especially in a world where customization is cheaper than ever. My only concern is that sales/CS often don't have a good "radar" for what should be built (even if it can be built).
Gigacatalyst
@patrick_monnot exactly, that's why we've got 2,500 apps built already! And what we're seeing is that the customer success team talks to the customer much more often, and thus knows the real needs of their users better than product or engineers do.
"The API-change problem is the elephant in the room for tools like this — someone in the comments already raised it. When a non-engineer builds a workflow against your API and then your API changes, does Gigacatalyst flag the broken connection proactively, or does it silently degrade until a customer notices their custom form stopped working?"
The real problem in B2B SaaS isn't that sales teams lack tools — it's that they can't surface customer workflow gaps fast enough for engineering to care. At Tuple, clients would churn because a specific integration didn't exist, and by the time we escalated it, they'd already decided to move on. An AI builder that lets CS teams close that gap in real time, without waiting on a sprint, changes the retention math entirely. Worth watching how this plays out at scale.
Julep AI
can i plug custom MCPs here?
Gigacatalyst
@ishita_jindal2 100% yes! Bring your APIs, MCPs, and databases and we'll link them up