i also like to add these other unconventional projects to this real yield / revenue generating narrative:
$CC
: $60m in the last 30d, rank number 3 behind tether and circle
$CARDS
: $14m in the last 30d, $8.6m gross profit, 85 to 90% buyback floor
$SKY
: $12.7m in the last 30d, ranks the 3rd most protocol that pays its token holders
$ZINC
: $5m in the last 30d, launched recently, revenue 3.5x higher in the last 7 days. gamified private proof of work mining protocol on Solana
$WLFI
: $11m in the last 30d, trump mentioned that they would pay unfreeze Iran's assets in USD1, which would be interesting to see how this would play out
@Polymarket
: $22m in the last 30d, this figure would grow exponentially as the worldcup goes on
$HYPE
: $63m in the last 30d, pays the most to its holders and needless to say, its everyone favourite
https://x.com/arndxt_xo/status/2069118607792173529
$CC
: $60m in the last 30d, rank number 3 behind tether and circle
$CARDS
: $14m in the last 30d, $8.6m gross profit, 85 to 90% buyback floor
$SKY
: $12.7m in the last 30d, ranks the 3rd most protocol that pays its token holders
$ZINC
: $5m in the last 30d, launched recently, revenue 3.5x higher in the last 7 days. gamified private proof of work mining protocol on Solana
$WLFI
: $11m in the last 30d, trump mentioned that they would pay unfreeze Iran's assets in USD1, which would be interesting to see how this would play out
@Polymarket
: $22m in the last 30d, this figure would grow exponentially as the worldcup goes on
$HYPE
: $63m in the last 30d, pays the most to its holders and needless to say, its everyone favourite
https://x.com/arndxt_xo/status/2069118607792173529
X (formerly Twitter)
arndxt (@arndxt_xo) on X
i also like to add these other unconventional projects to this real yield / revenue generating narrative:
$CC : $60m in the last 30d, rank number 3 behind tether and circle
$CARDS : $14m in the …
$CC : $60m in the last 30d, rank number 3 behind tether and circle
$CARDS : $14m in the …
👍3🤔1
Guys, I just migrated and updated my marketing agencies list.
https://x.com/Eli5defi/status/2069043070738579740
https://x.com/Eli5defi/status/2069043070738579740
X (formerly Twitter)
Eli5DeFi (@Eli5defi) on X
Guys, I just migrated and updated my marketing agencies list.
Major updates:
➠ Curated → I’ve worked with them on several projects and can personally vouch for them (no particular order):
- @Ta…
Major updates:
➠ Curated → I’ve worked with them on several projects and can personally vouch for them (no particular order):
- @Ta…
🔥3❤1
Ngl @valueverse_ai' 30D Holder P/FCF screener is quietly one of the sharpest lenses in DeFi right now.
https://x.com/YashasEdu/status/2069274096421232772
https://x.com/YashasEdu/status/2069274096421232772
X (formerly Twitter)
YEdu (@yashascore) on X
Ngl @valueverse_ai' 30D Holder P/FCF screener is quietly one of the sharpest lenses in DeFi right now.
Lowest multiples (tightest cash flow to holders)👇
• @pendle_fi: 4.2x
• @Pumpfun: 6.3x
• @a…
Lowest multiples (tightest cash flow to holders)👇
• @pendle_fi: 4.2x
• @Pumpfun: 6.3x
• @a…
I hate to rain on everyone’s parade, because I really do believe in tokenizing financial securities on general purpose blockchains. But these stats everyone keeps posting about massive onchain stock volume deserve context.
The *vast* majority of onchain stock volume is coming from a handful of AMM pools with swap fees essentially set to zero. That makes it dirt cheap to trade, despite these pools having <$1mn of liquidity.
Within these pools, 95%+ of the volume is coming from around 10 bots that just flip a small position back and forth again and again
Again, not trying to say onchain equities aren’t a very important development. But any time you see a chart like this for any sort of metric in crypto you should drill down into the data. Almost all crypto stats don’t mean what you think they mean at first glance
https://x.com/0xdoug/status/2069484171735515414
The *vast* majority of onchain stock volume is coming from a handful of AMM pools with swap fees essentially set to zero. That makes it dirt cheap to trade, despite these pools having <$1mn of liquidity.
Within these pools, 95%+ of the volume is coming from around 10 bots that just flip a small position back and forth again and again
Again, not trying to say onchain equities aren’t a very important development. But any time you see a chart like this for any sort of metric in crypto you should drill down into the data. Almost all crypto stats don’t mean what you think they mean at first glance
https://x.com/0xdoug/status/2069484171735515414
X (formerly Twitter)
Doug Colkitt (@0xdoug) on X
I hate to rain on everyone’s parade, because I really do believe in tokenizing financial securities on general purpose blockchains. But these stats everyone keeps posting about massive onchain sto…
👍1🔥1
Analyzed 10k borrowers in Morpho's top markets by debt. The same protocol is serving 3 personas:
- loopers
- liquidity borrowers
- directional leverage traders
most markets are loop-heavy, with the top 5 borrowers accounting for most of the debt
the great unbundling might be coming
https://x.com/0scaronchain/status/2069428261315280903
- loopers
- liquidity borrowers
- directional leverage traders
most markets are loop-heavy, with the top 5 borrowers accounting for most of the debt
the great unbundling might be coming
https://x.com/0scaronchain/status/2069428261315280903
X (formerly Twitter)
0scar (@0scaronchain) on X
Analyzed 10k borrowers in Morpho's top markets by debt. The same protocol is serving 3 personas:
- loopers
- liquidity borrowers
- directional leverage traders
most markets are loop-heavy, with …
- loopers
- liquidity borrowers
- directional leverage traders
most markets are loop-heavy, with …
🤔1
COMPLETE PORTFOLIO + FARMING OVERVIEW
Overall asset split:
Stables: 88.13%
HYPE: 3.69%
BTC: 2.81%
ETH: 2.51%
JLP: 1.77%
SOL: 0.61%
Others: 0.48%
https://x.com/3liXBT/status/2069475822545555496
Overall asset split:
Stables: 88.13%
HYPE: 3.69%
BTC: 2.81%
ETH: 2.51%
JLP: 1.77%
SOL: 0.61%
Others: 0.48%
https://x.com/3liXBT/status/2069475822545555496
X (formerly Twitter)
3lixbt (🗣️,🤝) (@3liXBT) on X
COMPLETE PORTFOLIO + FARMING OVERVIEW
Overall asset split:
Stables: 88.13%
HYPE: 3.69%
BTC: 2.81%
ETH: 2.51%
JLP: 1.77%
SOL: 0.61%
Others: 0.48%
TLDR:
> Heavily stabled at ~88.13%, with Polymark…
Overall asset split:
Stables: 88.13%
HYPE: 3.69%
BTC: 2.81%
ETH: 2.51%
JLP: 1.77%
SOL: 0.61%
Others: 0.48%
TLDR:
> Heavily stabled at ~88.13%, with Polymark…
✍3💩1
How To Use Loop Engineering To Build A Self-Improving Quant Trading System
https://x.com/RohOnChain/status/2069056530960490835
https://x.com/RohOnChain/status/2069056530960490835
X (formerly Twitter)
Roan (@RohOnChain) on X
How To Use Loop Engineering To Build A Self-Improving Quant Trading System
🤔2
In practice, token value accrual models fall into a few broad categories:
https://x.com/Eli5defi/status/2069661821586510040
https://x.com/Eli5defi/status/2069661821586510040
X (formerly Twitter)
Eli5DeFi (@Eli5defi) on X
My friend @arndxt_xo shared on different paths of token value accrual models using specific projects as examples.
In practice, token value accrual models fall into a few broad categories:
❶ Dire…
In practice, token value accrual models fall into a few broad categories:
❶ Dire…
👍3
Only a few DeFi projects do buybacks that exceed their token emissions.
In the past 90 days:
https://x.com/TheDeFinvestor/status/2069767296328061239
In the past 90 days:
https://x.com/TheDeFinvestor/status/2069767296328061239
X (formerly Twitter)
The DeFi Investor 🔎 (@TheDeFinvestor) on X
Only a few DeFi projects do buybacks that exceed their token emissions.
In the past 90 days:
1. @HyperliquidX
• Bought back $135M worth of HYPE
• $64M HYPE was unlocked for its team
2. @chainl…
In the past 90 days:
1. @HyperliquidX
• Bought back $135M worth of HYPE
• $64M HYPE was unlocked for its team
2. @chainl…
👍2
but one way or another, this gap needs to move back toward equilibrium
https://x.com/arndxt_xo/status/2069824815511543814
https://x.com/arndxt_xo/status/2069824815511543814
X (formerly Twitter)
arndxt (@arndxt_xo) on X
but one way or another, this gap needs to move back toward equilibrium
👍1
Threading on the Edge
but one way or another, this gap needs to move back toward equilibrium https://x.com/arndxt_xo/status/2069824815511543814
- $Eigen built a cool AI product where you can use your macbook pro to make money
-Token is in range since Feb
-Listed on openrouter already and token usage is uponly
-looking at the pa, people are just accumulating
-let's see what happens in a week or two
https://x.com/alpinestar17/status/2068066271053414467
-Token is in range since Feb
-Listed on openrouter already and token usage is uponly
-looking at the pa, people are just accumulating
-let's see what happens in a week or two
https://x.com/alpinestar17/status/2068066271053414467
X (formerly Twitter)
Alpinestar (@alpinestar17) on X
- $Eigen built a cool AI product where you can use your macbook pro to make money
-Token is in range since Feb
-Listed on openrouter already and token usage is uponly
-looking at the pa, people …
-Token is in range since Feb
-Listed on openrouter already and token usage is uponly
-looking at the pa, people …
the chinese AI models are dominating, along with the obvious split of the AI model market into 2 very different games
the first is revenue
the second is volume
OpenAI, Anthropic and Google still dominate revenue because enterprises buy trust, support, security, procurement, and integration. that part of the market moves slowly and is heavily shaped by cloud GTM, solution architects, and existing enterprise relationships
but OpenRouter is showing the leading edge of volume
by may 2026, chinese open-weight models were roughly 61% of tokens consumed on OpenRouter. four of the top five models were Chinese. Llama, once the default open-weight leader, has effectively disappeared from the top rankings
the cost-performance center of gravity for open-weight inference has shifted east
DeepSeek-V4-Pro pricing at roughly 12x below GPT-5.5 makes the point clear. the mass market does not always pay for the absolute frontier. it pays for the cheapest model that is good enough for the task
openRouter usage shifted heavily toward code, with programming rising from roughly 11% of usage at the start of 2025 to more than 50% by mid-2026. coding is high-volume, repeatable, and price-sensitive. that is exactly where cheap, capable open-weight models compound
premium reasoning is a high-margin niche. cheap, open, good-enough inference is becoming the volume layer
if the best open weights are increasingly Chinese, large enterprises will hesitate. export controls, procurement risk, data sensitivity, and political optics matter far more to a Fortune 500 buyer than to a startup trying to cut inference cost
so the market likely bifurcates, where startups chase performance per dollar, while enterprises stay with approved Western vendors longer:
- that delay creates a temporary distortion, not a permanent moat
- the real investment implication is that margin is moving away from the model layer
- it accrues above the model through distribution, workflow ownership, and application lock-in
- it accrues below the model through cloud, inference routing, optimization, and compute infrastructure
the model itself still matters, but in the volume tier it is becoming increasingly replaceable
https://x.com/arndxt_xo/status/2069994796048158939
the first is revenue
the second is volume
OpenAI, Anthropic and Google still dominate revenue because enterprises buy trust, support, security, procurement, and integration. that part of the market moves slowly and is heavily shaped by cloud GTM, solution architects, and existing enterprise relationships
but OpenRouter is showing the leading edge of volume
by may 2026, chinese open-weight models were roughly 61% of tokens consumed on OpenRouter. four of the top five models were Chinese. Llama, once the default open-weight leader, has effectively disappeared from the top rankings
the cost-performance center of gravity for open-weight inference has shifted east
DeepSeek-V4-Pro pricing at roughly 12x below GPT-5.5 makes the point clear. the mass market does not always pay for the absolute frontier. it pays for the cheapest model that is good enough for the task
openRouter usage shifted heavily toward code, with programming rising from roughly 11% of usage at the start of 2025 to more than 50% by mid-2026. coding is high-volume, repeatable, and price-sensitive. that is exactly where cheap, capable open-weight models compound
premium reasoning is a high-margin niche. cheap, open, good-enough inference is becoming the volume layer
if the best open weights are increasingly Chinese, large enterprises will hesitate. export controls, procurement risk, data sensitivity, and political optics matter far more to a Fortune 500 buyer than to a startup trying to cut inference cost
so the market likely bifurcates, where startups chase performance per dollar, while enterprises stay with approved Western vendors longer:
- that delay creates a temporary distortion, not a permanent moat
- the real investment implication is that margin is moving away from the model layer
- it accrues above the model through distribution, workflow ownership, and application lock-in
- it accrues below the model through cloud, inference routing, optimization, and compute infrastructure
the model itself still matters, but in the volume tier it is becoming increasingly replaceable
https://x.com/arndxt_xo/status/2069994796048158939
X (formerly Twitter)
arndxt (@arndxt_xo) on X
the chinese AI models are dominating, along with the obvious split of the AI model market into 2 very different games
the first is revenue
the second is volume
OpenAI, Anthropic and Google still…
the first is revenue
the second is volume
OpenAI, Anthropic and Google still…
❤3
How to print 15% APY on $HYPE (Zero Price Exposure) 👇
https://x.com/DarkLord_gr/status/2069886022251397175
https://x.com/DarkLord_gr/status/2069886022251397175
X (formerly Twitter)
DarkLord_gr | DeFi Dojo (@DarkLord_gr) on X
How to print 15% APY on $HYPE (Zero Price Exposure) 👇
👍2🤔2
Inside the Silicon Photonics Supply Chain Powering AI
https://x.com/Eli5defi/status/2070079273357234581
https://x.com/Eli5defi/status/2070079273357234581
X (formerly Twitter)
Eli5DeFi (@Eli5defi) on X
Inside the Silicon Photonics Supply Chain Powering AI
👍1