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šŖļø Pivot Without Dying
š The best pivots double down on whatās already working. Fewer users, fewer promises, clearer outcomes. I explain why that wins.

š Hey ā Egemen here.
I listened to a 9 year old podcast this week and itās still relevant today.
Most pivots fail for one boring reason: they change the story without changing the truth.
Founders sense momentum slowing down, then reach for the fastest-feeling lever: a new audience, a viral feature, a trend, a āplatformā narrative, or a cheaper price.
Those moves are emotionally satisfying because they feel like action.
They are also the easiest ways to waste months.
Hereās a snapshot of whatās on the menu today:
š” Spotlight: Your competitors are already automating
š§ Deep-Dive: Pivot Without Dying
šŗļø Method: 2026 Talent Trends
ā¾ļø Catch: A Quick Survey
āļø Scaled This Past Week: Emergent
š” Spotlight
Your competitors are already automating. Here's the data.
Retail and ecommerce teams using AI for customer service are resolving 40-60% more tickets without more staff, cutting cost-per-ticket by 30%+, and handling seasonal spikes 3x faster.
But here's what separates winners from everyone else: they started with the data, not the hype.
Gladly handles the predictable volume, FAQs, routing, returns, order status, while your team focuses on customers who need a human touch. The result? Better experiences. Lower costs. Real competitive advantage. Ready to see what's possible for your business?

š§ Deep-Dive: Pivot Without Dying
I honestly donāt know why or how but I ended up going into VC dark web this week and ended up listening to a full podcast of a16z released in Feb 2017.
Jokes aside, a pivot that works is simpler and harder at the same time.
It is a deliberate decision to double down on what is already demonstrably working, then rebuild the company around that evidence.
Make no mistake, sometimes these things come as a last ditch effort for a story thatās about to end, but sometimes itās vital.
So, here are two groups of pivots that you can go about:
The common pivots that look rational but usually backfire
The pivot types that tend to compound your existing strengths instead of resetting them
To avoid confusion, a pivot is not shipping more. Itās not āa new feature.ā
It is not ābuilding a new AI layerā for the sake of it.
A real pivot changes at least one of these:
Buyer: who pays
User: who uses
Problem: what job you solve
Approach: how you solve it (workflow, distribution, architecture, model)
Market frame: the category customers use to understand and buy it
If you cannot clearly state what changed in one sentence, it is not a pivot. It is thrash.
For example, Iāve never seen any of these pivots working within my ecosystem:
B2B ā Consumer: Enterprise selling strengths, channels, and product expectations rarely translate to consumer distribution and habit-driven retention.
Adding chat/social/notifications: Engagement layers donāt create demand when the core product isnāt already essential.
Adding AI/Web3/whateverās trending: Trend add-ons donāt materially change user outcomes, so novelty wears off and churn stays.
Paid ā Free: Low willingness to pay usually signals weak perceived value, and free scales indifference faster than adoption.
š The best pivots are commitments: fewer users, fewer promises, fewer features, clearer outcomes.
That is what creates speed without chaos, and change without dying.


šŗļø Method
AI in HR? Itās happening now.
Deel's free 2026 trends report cuts through all the hype and lays out what HR teams can really expect in 2026. Youāll learn about the shifts happening now, the skill gaps you can't ignore, and resilience strategies that aren't just buzzwords. Plus youāll get a practical toolkit that helps you implement it all without another costly and time-consuming transformation project.

ā¾ļø Catch
Weāre running a super short survey to see if our newsletter ads are being noticed. It takes about 20 seconds and there's just a few easy questions.
Your feedback helps us make smarter, better ads.

āļø Scaled This Past Week: Emergent
Emergent has raised $70 million in Series B at a roughly $300 million valuation ā itās the scale of the week!
Emergent builds an AIāpowered software creation platform that helps users design, test, and deploy mobile and web applications with minimal coding, empowering entrepreneurs and small businesses to ship digital products faster and with fewer technical barriers.
This funding will support scaling its engineering and research teams while expanding product capabilities and global reach as demand for AIādriven development tools grows.






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