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- Substack Notes: The Incentive-Powered Feedback Loop
Substack Notes: The Incentive-Powered Feedback Loop
PLUS: AI can fix bugs—but can’t find them
Substack Notes: The Incentive-Powered Feedback Loop
Substack Notes is transforming the creator economy by providing real-time revenue transparency.
Creators can see exactly how much money each note generates, turning every post into a measurable revenue opportunity.
For instance, Jack Roshi’s single Substack Note earned $4,509 and attracted 5 paid subscribers.
The platform even displays messages like, "Your note made you $4,509," alongside visuals of high-performing notes.

Money Making Substack Note
This level of clarity empowers creators with actionable insights into what resonates with their audience.
Substack Notes functions like Twitter within the platform, enabling viral potential.
When a note garners enough likes or restacks, it spreads beyond a creator’s immediate followers.
This viral reach is further amplified by the financial incentives tied to successful notes, encouraging creators to aim for broader engagement.
The Feedback Loop That Fuels Creation
Substack’s real-time tracking creates a powerful feedback loop.
Creators can instantly see which notes drive subscriptions and revenue, motivating them to replicate success or experiment with new content.
For example, Jack Roshi of The Stock Insider began creating more notes after discovering one generated $4,509.
This direct correlation between earnings and content turns financial success into a creative engine, keeping creators motivated and productive.
A Blueprint for Creator Platforms
Substack’s model sets a new benchmark for transparency and creator empowerment, offering a blueprint for other platforms:
X: Could track tweets or threads that convert to revenue via its new payment system.
TikTok Shop: Would thrive by showing creators which videos drive sales, incentivizing them to produce high-performing content.
YouTube Shop: Currently lacks this feature, missing an opportunity to help creators optimize their strategies.
Patreon: Could implement similar tracking to highlight which posts generate the most revenue.
This transparency would revolutionize how creators approach content across platforms, fostering informed and strategic creation.
Turning Features into Habits
Substack’s approach turns feature usage into a habit by tying financial results to specific actions.
When creators see tangible earnings from features like Notes, they’re psychologically incentivized to use them more.
Jack Roshi’s $4,509 note is a prime example: its success directly led to increased note creation for him.
“Never, ever, think about something else when you should be thinking about the power of incentives.”
This strategy is a masterclass in user engagement in getting users to use particular features by showing them the financial incentive of using such feature.
Top Tweets of the day
1/
I heard this internal memo of mine is being leaked right now, so here it is:
— tobi lutke (@tobi)
1:07 PM • Apr 7, 2025
AI is not a nice to have tool anymore. Tobi Lütke, co-founder & CEO of Shopify, just mentioned everyone must use it if they want to keep their job.
2/
funny how inefficient the job market is. had a friend who i finally convinced to apply to the US and now he works remote for a much cooler job in the US with 5x salary. literally the only reason was because he didn't think of it
— gabriel (@GabrielPeterss4)
11:09 PM • Mar 20, 2025
Lots of people self-sabotage. Never self-sabotage.
This principle is known as dollar arbitrage: "Work in a 1st-world country and spend it in a 3rd-world country."
3/
My counter take of the day is that if you try to automate everything you end up automating nothing because it's just too hard and you give up.
Find the parts of your workflow that you can make 10% better, and iterate from there.
Example in thread
— Aron Korenblit (@aronkor)
3:58 PM • Feb 11, 2025
About half a decade ago, I spent countless hours trying to automate tasks using Python, inspired by Al Sweigart’s renowned book, "Automate the Boring Stuff with Python".
Ironically, I often automated things I thought I’d use constantly, only to realize later that I barely needed them.
This was before the AI boom, so I’d invest 1–2 hours crafting flawless scripts, only to use them once or twice a month—or sometimes not at all.
Massive time-wasted. So the best principle is to slowly do tasks manually & notice what you do repeatedly before automating it slowly.
Rabbit Holes
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