Speed is cheap now. Momentum is the new moat.

Hey Vibe Marketer,

Speed vs momentum!

From the time AI came into picture speed isn’t the problem. Momentum is.

What I mean to say is this - “You can build anything in days. But, you still feel stuck or don’t seem to move forward.”

Why does this happen and what kills momentum?

a. Building a product without validation - Shipping fast doesn’t matter if no one asked for it. You only realize the gap after it’s live and no one shows up.

b. Overcomplicating too early - What should have been simple turns into something heavy and hard to move. Instead of momentum, you’re stuck managing what you built.

c. Chasing tools instead of clarity - Switching tools feels like progress, but nothing actually moves forward. Everything connects, but nothing clicks.

d. Solving before understanding - You build based on what you think the problem is.
Then spend more time fixing the solution than learning the need.

e. Automating before proving - You try to scale before anything is working reliably.
So, instead of momentum, you scale noise and confusion.

This week inside the vibe marketer’s community, marketers ran into all of this.

Interesting part: you can actually see it play out in their builds.

Some got stuck in these exact traps, where momentum quietly breaks.

Others moved through them and that’s where momentum starts to compound.

The outcomes are very different.

Here’s how Vibe Marketers are actually building momentum with AI

Real workflows from AI marketing practitioners from live sessions, discussions and workshops from The Vibe Marketer’s community.

#1 Unlocking your own thinking patterns with AI - Phil Vilk built a tool that analyzes 1.2M+ words of his own voice notes collected over 2+ years using Wispr Flow. It surfaces recurring problems, tracks how long he’s been stuck on them, and even questions whether they’re worth solving. This is less about productivity and more about clarity and turning raw thoughts into something you can actually act on.

A glimpse into what it looks like when you stay with a problem long enough to understand it deeply. You can try it for yourself with this repo…

Blocker: Lack of clarity. Being stuck on problems without knowing if they’re worth solving.

Clarity momentum: Tracking patterns over time helped focus only on what actually matters.

#2 AI-powered hotel audit in 15 seconds - Bladen Reese built a system that audits a hotel’s entire digital presence across Instagram, TikTok, Booking.com, Airbnb and turns it into a structured score with actionable improvements. It even analyzes photo composition and estimates missed revenue. What used to take hours now takes 15 seconds at $0.15 per audit.

A clear example of taking a messy manual process and turning it into a fast, repeatable system. Try the tool here…

Blocker: Manual, unstructured work hours spent analyzing scattered data across platforms.

Process momentum: Defining the audit workflow made it repeatable and instantly scalable.

#3 Open source LinkedIn ads agent that writes your daily brief - Matthew Berman open-sourced an agent toolkit that connects your LinkedIn Ads, CRM, and lead data to generate daily performance briefs. It answers questions around lead quality, funnel leaks, and fake signals and can even suggest and apply changes with approval. Instead of manually checking dashboards, you get decisions delivered to you.

This is what happens when you move from managing tools to building systems. Get access to the GitHub repo here…

Blocker: Constant manual decision-making across disconnected tools and dashboards.

System momentum: Connecting data + decisions into one flow removed fragmentation.

#4 Building your own fitness app instead of using one - Chris Latham built a custom fitness tracking app tailored to his exact workout style using Claude, Codex, Cloudflare, and Turso. No bloated features, no compromises just something that fits how he trains. A reminder that with AI, it’s often easier to build what you need than adapt to generic SaaS.

This is what clarity over tools looks like. See how Chris built it…

Blocker: Misalignment—generic tools not fitting personal workflows.

Clarity momentum: Building exactly what was needed removed unnecessary complexity.

#5 From idea to SaaS in 3 days (and what went wrong) - Renzo Will built SnapExpense, an AI receipt scanner—in just 3 days using Claude Code. The product worked, the launch didn’t. 538 views, 2 signups, 0 paying users.

The initial idea targeted freelancers, but the problem was too broad to truly resonate. Now it’s evolving toward a more specific use case: real estate agents with clear audit and tax workflows.

The insight? Speed isn’t enough if you skip validation and real conversations.

Now he’s talking to users before building further. A raw look at where momentum breaks and how it starts to rebuild.

Blocker: Broad audience + no validation led to weak resonance.

Re-alignment momentum: Narrowing the ICP and learning directly from users.

#6 AI outreach agent that booked 80 meetings - Rokas Stan built an AI outreach system that replaces lead research, qualification, enrichment, and personalization in one workflow.

It scrapes leads, scores them against an ICP, finds emails, generates personalized messages, and sends campaigns across email + LinkedIn. The result: 80 meetings booked in 3 months. This is what happens when you automate after the process is clear. Watch the walkthrough here…

Blocker: Manual, repetitive lead research and outreach workflows.

Execution momentum: clear process + automation turned effort into consistent output.

#7 How simplifying the build turned multiple failures into a working product - After multiple rebuilds and tool-switching, Bojan finally shipped Mindsweep. Early versions mixed too many tools leading to broken architecture, messy code, and constant debugging.

The problem? A simple idea became too complex to move.
The shift: simplify. Clear PRD, one approach, focus on core constraints.

Now it works. Features ship incrementally, and the system holds together. A reminder that momentum often comes from removing complexity not adding more.

Blocker: Overcomplication + tool fragmentation made the system hard to build and maintain.

Process clarity momentum: simplifying the PRD and sticking to one approach restored forward movement.

What stood out isn’t the tools or the builds.

It’s how small shifts changed everything…

• understanding the problem deeply

• structuring the process clearly

• connecting systems instead of juggling tools

• building for real workflows

• validating before scaling

• automating after clarity

• simplifying instead of overbuilding

Same effort. Very different outcomes.

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Miscellaneous vibes

1. Remember this if you feel behind in AI…

2. Tens of millions up for grabs for AI agents?

3. Your Hermes Agent can now build full videos with the official HyperFrames skill by HeyGen.

4. This is how you become an AI marketing engineer…

5. 99% of Hermes agent users have never touched these 15 features.

6. The bottleneck for autonomous companies is memory…

7. What agentic engineering shift looks like!

Let’s vibe

Crazy time to be building with AI. And, looks like Claude code is leading the game…

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