Manicule’s CTO built AI marketing on context, not content
Most AI marketing conversations start with the model. Shreyans Jain starts with the context. That difference, more than any tool choice, is what shaped how he built Manicule’s technical foundation and what pushed the company to roughly $53,000 in monthly revenue during Y Combinator.
Jain is Co-Founder and CTO at Manicule, a developer-focused marketing company. His argument is straightforward: a model can write fluent copy from weak context, but fluency and accuracy are not the same thing. For developer companies, where users can check technical claims almost immediately, that gap is expensive.
“People focus on the model, but the model only works with what you give it. If the system does not understand the company well enough, the output will still be generic.”
Where the Thinking Started
Jain’s background is in AI memory infrastructure. Before Manicule, he was employee No. 1 and founding engineer at Supermemory, a product that grew to more than 100,000 users and raised $3 million. The open-source project pulled more than 20,000 GitHub stars, and the memory system ranked first on LongMemEval, LoCoMo, and ConvoMem.
At Supermemory, Jain built the consumer app, MCP v2, Console, and SDK integrations for the Vercel AI SDK and OpenAI’s JavaScript and Python SDKs. Those integrations reduced memory setup to about two lines of code and contributed to annual contracts worth more than $50,000.
The Platform He Built at Manicule
At Manicule, Jain applied the same core problem to a different domain. He built the shared platform that handles client context, content production, and publishing across all of Manicule’s client engagements.
Product specifications, code, and customer knowledge move through a structured workflow: research, drafting, human review, verification, and publication. Agents run in isolated sandboxes. Edits are versioned. Published material can serve both human developers and AI agents through company websites, llms.txt, and MCP.
The goal is to give agents a working understanding of a company before they produce anything. That shared foundation stays consistent even when the final deliverable changes from one client to another.
What the Numbers Show
Across its client work, Manicule has reported roughly 37 percent fewer support tickets and millions of impressions. For Supermemory specifically, a developer-relations campaign produced more than 1 million SEO impressions and 90 percent traffic growth over three months. A benchmark-led Reddit campaign generated more than 200,000 views. A documentation launch completed in 23 days was followed by a reported 30 percent improvement in answer success.
Jain credits those outcomes to the infrastructure beneath the campaigns, not the campaigns themselves.
“If the information is bad, scaling it does not fix the problem. You are just giving the system more bad information to work with.”
The Problem He’s Actually Solving
Developer marketing is shifting. Jain points to answer engine optimization, generative engine optimization, and the growing use of coding agents as evidence that AI now plays a meaningful role in how developers discover and implement products.
In that environment, publishing volume alone does not compensate for weak product context. An AI agent recommending a tool to a developer needs accurate, detailed information about what that tool actually does. Generic content does not survive that test.
“Companies want to know what they can publish to get recommended more often. The harder question is whether the agent actually has enough accurate context to understand what the product does.”
Jain’s answer is to work upstream, on the systems that determine what an agent knows before it writes anything. That is the lesson he carried from Supermemory, and it is the technical bet Manicule is built on.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
At BizStack, I aim to cut through the digital noise to provide clear, actionable advice.
And more than all else, I’m a father to a (always) little girl and a husband.
Contact me at [email protected] for assistance.
