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From Launch to Liftoff: How Flywheel Keeps Products Scaling

Why post-launch strategy, analytics, and AI-driven optimization now matter more than the build itself.

How Flywheel Supports Apps After Launch

By: Erik Goins CEO of Flywheel Studio

Most people think the hard part is building the app — but the real game begins after it goes live. This month’s feature breaks down how Flywheel supports clients beyond launch, why post-launch care determines whether an app thrives or dies, and what our team actually does to keep products growing.

From Hyper Care and analytics-driven roadmapping to ongoing development, ASO, optimization, and fractional product teams — this piece shows exactly how we turn apps into long-term successes, not one-off projects.

From “Can We?” to “How Fast?”: The Velocity Paradox

By Ty Naik | Product Manager at Flywheel Studio

2025 proved that visual development isn’t just for quick prototypes anymore, it’s enterprise-grade. Advancements in AI and tools like Dreamflow and Flutterflow have removed ceilings, letting us tackle full-scale platforms and advance AI workflows with confidence. The paradox? Faster builds demand smarter product management, speed only works on a solid foundation.

For 2026, the edge isn’t who builds fastest, it’s who builds reliably at scale. Flywheel isn’t just building apps; we’re architecting growth engines.

AI in the Loop: Redefining How We Build and Test

By Bruno Matias Balderrabano | Developer at Flywheel Studio

At Flywheel, AI isn't just a side tool anymore, it is embedded in the "loop" of how we design, build, and refine.

In this piece, Bruno explores how we are shifting QA left by building specialized AI agents that can autonomously manipulate application states like resetting complex user flows or simulating edge cases to validate code long before it hits staging. He also shares candid lessons from building Somara, our internal platform, revealing why AI speed must be balanced with the disciplined eye of an experienced engineer.

How we use AI for Social Network Content Moderation

By Roberto Requena | Senior Developer at Flywheel Studio

At Flywheel, we’ve taken content moderation to the next level. Instead of relying on manual admin screens, we built an intelligent system using Firebase Cloud Functions and Google’s Natural Language API to automatically evaluate and classify user posts. By integrating AI tools like Gemini, we’ve streamlined moderation workflows, reduced admin overhead, and improved user experience. Posts are now accepted, rejected, or flagged for review based on confidence scores, all configurable within the app. It’s a smarter, faster, cleaner way to keep communities safe and scalable.

📚What We’re Reading:

🤖 The Ultimate Guide to AEO & GEO

By Aakash Gupta | Product Growth

SEO is evolving into AEO (Answer Engine Optimization). As users shift from Google to ChatGPT and Perplexity, the rules for getting discovered are changing. Aakash breaks down how to optimize your content so AI models don't just read it, but cite it as the answer.

🚀 Growth Hacks for Startups

By The Starting Idea | Trendsvc

Sometimes the best way to scale is to do things that don't scale. This is a great collection of scrappy, actionable tactics for early-stage founders looking to get their first 1,000 users without blowing a marketing budget.

🎫 Eventbrite to be Acquired by Bending Spoons for $500M

The Italian tech giant Bending Spoons (owners of Evernote and WeTransfer) continues its aggressive consolidation of utility apps. This acquisition marks a massive shift for the events industry—we are curious to see if they apply their rigorous monetization strategies to ticket fees next.

🎨 How Design Teams Are Reacting to 10x Developer Productivity

By Luke Wroblewski | LukeW

When AI agents allow developers to ship 10x faster, the traditional "design first, build second" workflow breaks. Luke explores the three ways design teams are coping: by shifting to "cleanup duty" after the build, or by becoming coders themselves.