prreeya narayanan's Work | ContraWork by prreeya narayananprreeya narayanan
Web3 Writer for Protocols, Crypto & Blockchain Companies
Strategy, the Orange Whale, Rides Bitcoin’s Price Wave to
Accumulate BTC >>
What inspired me to create this graphic for my Bitcoin
Treasury article?
I created this graphic using ChatGPT for my article on Strategy's
Bitcoin acquisition and capital-market strategy.
Web3 has its own entertainment and celebrity personas — and
in the Bitcoin world, Strategy has become something of a corporate Bitcoin
celebrity, with its BTC acquisition strategy closely associated with
Michael Saylor.
Strategy is currently the largest corporate Bitcoin holder,
with 846,000 BTC, representing around 4.03% of Bitcoin's total supply.
But accumulating a huge Bitcoin treasury isn't simply a
matter of buying BTC and HODLING it.
During bearish market phases, falling BTC prices can reduce
the value of a company's Bitcoin holdings and put pressure on its balance sheet
and liquidity — particularly when the company also has debt, interest and
dividend obligations.
Strategy experienced these pressures when BTC declined
toward the $60,000s. The company sold part of its BTC holdings and paused
Bitcoin purchases for more than two months.
Then the market changed.
In August, BTC moved from around $62,000 toward $78,000,
and Strategy ended its Bitcoin-purchase pause by acquiring 4,603 BTC.
In September, BTC moved further toward $87,000,
establishing a potential higher support zone around $80,800.
And Strategy appeared again — purchasing another 950 BTC.
That's what inspired the visual.
Strategy is portrayed as the Orange Corporate Whale,
riding Bitcoin's appreciation wave and accumulating more BTC while the wave is
strong enough to wash the bears away.
Michael Saylor gives a thumbs-up, geared up to buy more
of this orange crypto as its price moves into an upward phase.
But behind the playful visual is a more serious financial
mechanism.
Strategy has developed a capital-market framework involving:
BTC accumulation
MSTR equity
Preferred securities such as STRC
USD Cash and USD Reserve
Debt management
Preferred-stock dividends
Share buybacks
These mechanisms provide Strategy with liquidity and
flexibility when Bitcoin markets become difficult.
My article explores how BTC's appreciation since August
percolated through Strategy's capital markets, improving the conditions for
further Bitcoin purchases.
Read the full article:
https://nodewalker.substack.com/p/how-rising-btc-prices-created-favorable Exploring Polkadot 2.0’s Agile Coretime through a visual
concept
I created this banner using ChatGPT to visually explain how
Polkadot 2.0 changes the way its decentralized compute resources can be
allocated to Rollup chains.
The central idea I wanted the visual to communicate:
One Core → shared computational resource → multiple
Rollup chains
In Polkadot 1, a project that secured a dedicated Core
through the parachain auction had access to the computational resources of that
Core for its lease period.
This meant that when the project did not require the Core’s
full computational capacity, some of that resource could remain underutilised.
Polkadot 2.0’s Agile Coretime introduces a more
flexible way of accessing these resources.
The visual represents this by showing:
Rollup Chain A → 40% of the Core’s resource
Rollup Chain B → 35% of the Core’s resource
Remaining capacity → available for other usage
The purpose of the visual is not to represent an exact
protocol allocation, but to make the underlying resource-allocation concept
easier to understand:
Projects can acquire Coretime according to their
requirements, share or split Coretime, sell unused Coretime, and acquire
additional Coretime when they need to scale.
I created this visual as part of my article exploring Polkadot
2.0’s Agile Coretime framework and how it aims to make Polkadot’s computational
resources more efficiently accessible to Rollup projects.
Article:
https://substack.com/home/post/p-216710789
#Polkadot #Web3 #Blockchain #Coretime #Crypto Last week, I created this banner for my story using
ChatGPT –
“From Box of Parts to Cat Tower: My DIY Adventure
Assembling a Tall Cat Tree”
The story can be read here:
Read the story on Publish0x (https://www.publish0x.com/my-covid-19-life-experiences/from-box-of-parts-to-cat-tower-my-diy-adventure-assembling-a-xjyvkjr?utm_source=chatgpt.com)
The story is about my assembly experience with the Skatrs
Cloud Nine Cat Tree, and the difficult task of assembling a 5-ft cat tree.
At first, I was very doubtful about whether I would actually
be able to assemble it.
When the giant box containing all the unassembled parts
arrived, it kept reminding me that this was indeed going to be a difficult task
for me.
Yet, I took the first steps and began the assembly
methodically.
I sorted the cat-tree parts, checked whether all the
required pieces were there, and finally started assembling it. I inserted the
poles into the platforms, screwed them together, and gradually built the cat
tree floor by floor.
Finally, I did it!
The heavy box containing several pieces — platform slabs,
poles, fabric-covered sections and screws — had transformed into an elegant cat
tree with plenty of utility for my cats.
My cat Mochu enjoys hanging out on the cat tree,
sitting at a height, stretching and scratching on its various scratching posts,
and lying inside the enclosed den spaces. There are two enclosed spaces on the
tree.
For me, this was like solving a challenging puzzle. It
involved physical effort, patience and figuring things out as I went along.
And then my cat Garu immediately towered over me,
standing on top of the cat tree as if to say, “Well done!” 🐈
That was a very satisfying moment. I felt a quiet sense of
pride after assembling a 5-ft cat tree that I had initially felt I might not be
capable of assembling.
And this adventure has once again made me more confident
about taking up challenging tasks that I might otherwise have been afraid to
attempt. A detailed Web3 protocol explainer covering Panta.Markets (http://Panta.Markets)’ permissionless market creation, primary and P2P secondary trading, liquidity and price discovery, pari-mutuel model, creator royalties, and AI-driven event resolution. Written to explain the platform’s on-chain mechanics in a clear and easy-to-understand way.