parker Oliver

parker Oliver

Business Development Manager

About

A successful Business Development Manager is not just a salesperson—they are a visionary connector who understands industries, anticipates trends, builds trust with stakeholders, and develops strategies that strengthen a company’s position in the marketplace. Their role is centered on creating meaningful collaborations, maximizing business potential, and delivering measurable results through strategic planning and execution.

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Gemologist
Gemologist
Tastemaker
Tastemaker
Gone streaking
Gone streaking

Forums

3d ago

When do you know a feature is actually worth building?

I think many tech product builders, including myself, can easily fall into tunnel vision, whereby I am overly convinced that the feature we re working on is clearly justified. With vibe-coding tools, the cost of building new features has also dropped dramatically. But lower development costs didn't seem to translate to product growth in my organization. Many newly launched features still receive little adoption, or have a hard time "syncing" with the rest of the product.

So I m curious: how do you decide when a feature is actually worth building? Do you wait for repeated user requests, test a lightweight version first, trust your product instinct, or rely on behavioral data before committing?

5d ago

What's your go to tech stack when starting a new SaaS project?

Lately I've noticed most discussion around AI coding tools focuses on which assistant or terminal agent people use, but not much on the actual architecture decisions behind that, things like framework, hosting, database, and auth choices that affect cost and security down the line.

For context, my current default stack is Next.js on the frontend, Supabase for database and auth, Vercel for hosting, and Stripe for payments. I picked it mainly for speed of shipping and because it keeps infra costs predictable early on, but I'm not sure it's the best call for security or scaling past MVP stage.

A few things I'm curious about:

  • Do you settle on a default stack before prompting your AI agent, or does the agent end up influencing your stack choice?

  • What's been your biggest regret, cost, security, or scaling wise, with a stack you picked early on?

  • Any stack you'd actively avoid for a new SaaS in 2026?

The hidden problem with AI agents: they don't just answer, they act

For a long time, most AI conversations were about answers.

Could a chatbot write a better email? Summarize a document? Explain a concept? Even when the output was wrong, the result was usually a suggestion that a person could accept, reject, or ignore.

Agents change that dynamic a bit.

An AI agent might update a CRM, approve a workflow, modify a database record, send a message to a customer, or trigger actions across multiple systems. At that point, the conversation is no longer just about the quality of the answer. It's also about the consequences of the action.

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