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Founders are wired for speed. But reacting to every stray thought is not leading. It is just vibrating.
Reactivity is a leak.
When you "fix" things because you feel anxious, you are tampering. This creates team whiplash. Your systems never settle. Your team stops building for the future because they expect you to blow everything up by Tuesday.
This feels like control. It is actually just playing Whac-A-Mole.
Not every thought needs a response. Some need data. Some need a month of observation. Some just need you to go for a walk.
Scaling requires a steady hand.
Extremely accurate 👌
Constant reactive changes often introduce more instability than progress in growing systems.
Strong insight.
shiny object syndrome is real 👍
Absolutely 👌
One of the most expensive patterns in product building.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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A founder spent $45k on an app that didn't work. After 6 months, they had nothing but messy code and a $30k bill to fix it.
12 weeks later, we launched their app from scratch.
The most expensive part of development isn't the build—it’s the rebuild. Avoid the "experiment on your dime" traps by looking for:
Fixed Scope: Know exactly what you’re paying for.
Scalable Architecture: Build for 10k users, not 10.
Total Documentation: Don’t get locked into one dev.
If you’ve been burned, let's change the outcome this time.
📩 DM me your story. I’ll diagnose the failure and let you know if I can fix it.
Building something new = constant iterations.
Feedback via messages? Chaos.
Feedback via PM tools? Overkill for "move this text 2px down."
Inlyne sits in between. Click the actual site, comment directly on elements, resolve when done. No boards, no tickets, no teaching clients Asana.
Just feedback that makes sense.
Launching soon 🚀
Most operational failures start as small structural dependencies that no one notices.
I built Failure Mode Explorer, a diagnostic tool that surfaces the primary operational risk pattern inside a service organization and highlights where stability breaks down first.
Using @Anything made it possible to move from a conceptual model into a working system quickly, which changed how I approached the design process. It let me focus more on shaping the diagnostic logic and interpretation, and less on the mechanics of implementation.
I just published the case study here: Check it out
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