π1
https://x.com/vasily_sumanov/status/2053592031033794943?s=20
Some alpha (possibly) coming.
The goal is to predict this next time.
Some alpha (possibly) coming.
The goal is to predict this next time.
X (formerly Twitter)
Vasily Sumanov (@vasily_sumanov) on X
@jesseproudman @KSimback @AskVenice $VVV price growth followed fundamentals.
Eff. MCap (the value of all staked $VVV) -> is highly correlated with token holder revenue growth.
According to our calculations, @AskVenice annualized $VVV holder revenue is ~$110M.
Eff. MCap (the value of all staked $VVV) -> is highly correlated with token holder revenue growth.
According to our calculations, @AskVenice annualized $VVV holder revenue is ~$110M.
π4
Just see it yourself
Eff.M.Cap (total price of all $VVV staked and receiving revenue) follows the revenue.
Now it seems overvalued (m.cap -> UP, rev -> declining)
Multiplier was 2.5-3.5x when the rally started, now it is 13.6x (30D).
It means that today $VVV is 4x more expensive in terms of future revenue price that it was in Dec-Jan (and 14x more expensive in terms of spot USD-per-token price)
Eff.M.Cap (total price of all $VVV staked and receiving revenue) follows the revenue.
Now it seems overvalued (m.cap -> UP, rev -> declining)
Multiplier was 2.5-3.5x when the rally started, now it is 13.6x (30D).
It means that today $VVV is 4x more expensive in terms of future revenue price that it was in Dec-Jan (and 14x more expensive in terms of spot USD-per-token price)
π₯5π3
Looks like the answer "Why you build Valueverse, how I can make money on this data?" finally finds an answer.
Thanks to the market.
βββ
Midnight thought on the Selective Altseason thesis.
Three main pillars:
1. Decentralized "AI stocks": $VVV, $POD, Pearl, a few others; writing research on them now
Strategy: be early on fundamental plays, separate them from narrative-only "AI" noise.
2. Revenue-generating tokens the market forgot (welcome $RAIL, re-pricing today, $WALLET follows)
- Strategy: know the true tokenholder revenue & economics before broader attention arrives.
3. New projects with strong token revenue potential
Built on business models we already understand deeply.
$YB β improved ve-model built on the foundations of $CRV
$NEST β metaDEX playbook highly comparable to
$AERO
- Strategy: analyze what prices/valuations is possible through data of its historical reference:
TVL β protocol revenue β token revenue β revenue multipliers
For most of these strategies, public data is broken:
- Not "TVL" or "protocol revenue". Thatβs surface-level.
- The real edge is verified token-level attribution: actual token holder revenue, eligible market cap (not generic circulation), revenue pricing / multipliers, dilution, value capture mechanics
Without this, you're often analyzing fiction.
Just midnight thoughts. NFA.
βββ
X posts:
β’ https://x.com/vasily_sumanov
β’ https://x.com/valueverse_ai/status/2058666160569434469
Thanks to the market.
βββ
Midnight thought on the Selective Altseason thesis.
Three main pillars:
1. Decentralized "AI stocks": $VVV, $POD, Pearl, a few others; writing research on them now
Strategy: be early on fundamental plays, separate them from narrative-only "AI" noise.
2. Revenue-generating tokens the market forgot (welcome $RAIL, re-pricing today, $WALLET follows)
- Strategy: know the true tokenholder revenue & economics before broader attention arrives.
3. New projects with strong token revenue potential
Built on business models we already understand deeply.
$YB β improved ve-model built on the foundations of $CRV
$NEST β metaDEX playbook highly comparable to
$AERO
- Strategy: analyze what prices/valuations is possible through data of its historical reference:
TVL β protocol revenue β token revenue β revenue multipliers
For most of these strategies, public data is broken:
- Not "TVL" or "protocol revenue". Thatβs surface-level.
- The real edge is verified token-level attribution: actual token holder revenue, eligible market cap (not generic circulation), revenue pricing / multipliers, dilution, value capture mechanics
Without this, you're often analyzing fiction.
Just midnight thoughts. NFA.
βββ
X posts:
β’ https://x.com/vasily_sumanov
β’ https://x.com/valueverse_ai/status/2058666160569434469
X (formerly Twitter)
$VVV - Search / X
The latest posts on $VVV. Read what people are saying and join the conversation.
β€6π₯5π4
It's interesting that while $HYPE remains strong, it's ecosystem follows.
See $KNTQ, $NEST (this one is unique and is traded 5-6x since just recent times).
We explored NEST early.
See $KNTQ, $NEST (this one is unique and is traded 5-6x since just recent times).
We explored NEST early.
π5
πFirst feedback on the MVP of Accrual is in.
If you would like to be in the first wave of testing the product, reach out to us. If youβve already signed up for a preview, an email with access info from team@valueverse.ai should be waiting in your inbox.
https://x.com/lordjorx/status/2064151491624268149?s=20
If you would like to be in the first wave of testing the product, reach out to us. If youβve already signed up for a preview, an email with access info from team@valueverse.ai should be waiting in your inbox.
https://x.com/lordjorx/status/2064151491624268149?s=20
X (formerly Twitter)
Jordi in Cryptoland (@lordjorx) on X
Will crypto ever value DeFi on cash flows?
I've been digging through @valueverse_ai data recently, and two metrics changed how I look at DeFi valuations.
> The first is Effective Market Cap.
Many DeFi tokens have emission schedules that dilute supply forβ¦
I've been digging through @valueverse_ai data recently, and two metrics changed how I look at DeFi valuations.
> The first is Effective Market Cap.
Many DeFi tokens have emission schedules that dilute supply forβ¦
β€4π1
Some alpha: these tokens will be added next to Valueverse
$NEST $ABX $DRV
All fundamental assets with cashflows. Check our first view on that:
https://x.com/valueverse_ai/status/2064424060692340848
$NEST $ABX $DRV
All fundamental assets with cashflows. Check our first view on that:
https://x.com/valueverse_ai/status/2064424060692340848
X (formerly Twitter)
Valueverse (@valueverse_ai) on X
Valueverse: Aborean, Nest, and Derive added to Listing Roadmap
π₯4β2π1
The recent Grayscale report on digital assets valuation highlighted: top-tier market participants recognize tokens as investable asset class that could be analysed via equity-style lens.
In our recent report, we provide additional considerations how to make this analysis more precise: https://x.com/vasily_sumanov/status/2067984839458824454
β’ Revenue β Holder Cash Flow in most cases. Since protocol revenue often doesn't accrue directly to token holders, identifying holder-captured cash flows is essential for accurate valuation.
β’ Revenue Eligibility criterias. Staking, locking, and governance requirements often create revenue-eligible and non-eligible subclasses of supply.
β’ Dilution adjustment. Accounting emissions and unlocks is important piece of analysis to calculate real holders economics
The purpose of this article is not to challenge Grayscale's framework, but rather to expand on it by discussing several important factors that can help investors better evaluate cash-flow-generating crypto assets.
In our recent report, we provide additional considerations how to make this analysis more precise: https://x.com/vasily_sumanov/status/2067984839458824454
β’ Revenue β Holder Cash Flow in most cases. Since protocol revenue often doesn't accrue directly to token holders, identifying holder-captured cash flows is essential for accurate valuation.
β’ Revenue Eligibility criterias. Staking, locking, and governance requirements often create revenue-eligible and non-eligible subclasses of supply.
β’ Dilution adjustment. Accounting emissions and unlocks is important piece of analysis to calculate real holders economics
The purpose of this article is not to challenge Grayscale's framework, but rather to expand on it by discussing several important factors that can help investors better evaluate cash-flow-generating crypto assets.
X (formerly Twitter)
Vasily Sumanov (@vasily_sumanov) on X
What institutions miss when valuing tokens
π3β€1π1
This is exacty the reason why we build Valueverse.
https://x.com/MikeIppolito_/status/2069069423642616030
You can alsways access app.valueverse.ai for correct revenues
https://x.com/MikeIppolito_/status/2069069423642616030
You can alsways access app.valueverse.ai for correct revenues
X (formerly Twitter)
Mippo πͺ (@MikeIppolito_) on X
At this point you should ignore crypto data you see on Twitter that doesn't come from Blockworks, Token Terminal, etc...
I hate to dunk, but had to say something here because:
1. Almost no revenβ¦
I hate to dunk, but had to say something here because:
1. Almost no revenβ¦
π4π₯4β€2
Smart people realise how powerful Holder P/FCF is:
https://x.com/yashasedu/status/2069274096421232772?s=46
https://x.com/yashasedu/status/2069274096421232772?s=46
X (formerly Twitter)
YashasEdu (@YashasEdu) 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)π
β’ @pendle_fi: 4.2x
β’ @Pumpfun: 6.3x
β’ @AerodromeFi: 7.3x
β’ @AskVenice : 7.8x
These protocols donβtβ¦
Lowest multiples (tightest cash flow to holders)π
β’ @pendle_fi: 4.2x
β’ @Pumpfun: 6.3x
β’ @AerodromeFi: 7.3x
β’ @AskVenice : 7.8x
These protocols donβtβ¦
π₯3π2π2
Release: Yield Basis Protocol Financials
Live accounting for revenues & expenses:
β’ LP gains (v1/v2/v3) realized/unrealized + veYB fees
β’ $YB Emissions (Rewards, Curve Licensing)
https://x.com/valueverse_ai/status/2069842516736671818
Live accounting for revenues & expenses:
β’ LP gains (v1/v2/v3) realized/unrealized + veYB fees
β’ $YB Emissions (Rewards, Curve Licensing)
https://x.com/valueverse_ai/status/2069842516736671818
π₯3π1
Interesting observation:
Same trade, both assets: $1k/week, 130 weeks β $130k in.
$BTC β $101.5k (β$28.5k)
$AERO + veAERO fees β $326k
And only $47.6k of AERO's gain is price. $149k is yield.
You don't need price to go up if the asset pays you.
Thanks our user @lordjorx to finding this https://x.com/lordjorx/status/2069851550487298330
Same trade, both assets: $1k/week, 130 weeks β $130k in.
$BTC β $101.5k (β$28.5k)
$AERO + veAERO fees β $326k
And only $47.6k of AERO's gain is price. $149k is yield.
You don't need price to go up if the asset pays you.
Thanks our user @lordjorx to finding this https://x.com/lordjorx/status/2069851550487298330
X (formerly Twitter)
Jordi in Cryptoland (@lordjorx) on X
These backtests for yield-bearing assets are insane.
@valueverse_ai has a module that runs DCA backtests ($1,000/week) across four strategies for yield-bearing positions.
The numbers for @VelodromeFi vs @AerodromeFi are super interesting.
VELO, $1,000/weekβ¦
@valueverse_ai has a module that runs DCA backtests ($1,000/week) across four strategies for yield-bearing positions.
The numbers for @VelodromeFi vs @AerodromeFi are super interesting.
VELO, $1,000/weekβ¦
π₯5π2
Few tokens stay strong on this bear market.
$GOMINING is one of them: since March 1, the token has declined only from $0.30 to $0.28.
Looking at the last 18 months:
β’ Holders revenue: $14.2m distributed to veGOMINING (23% APY, ~6x 1Y Holder P/FCF)
β’ $72.8m of organic token demand from users purchasing and spending $GOMINING to reduce mining costs (over $10m saved)
β’ 58.9% of the supply locked in ve-tokenomics and 7.5% permanently burned
Valueverse data: https://gomining.valueverse.ai/
$GOMINING is one of them: since March 1, the token has declined only from $0.30 to $0.28.
Looking at the last 18 months:
β’ Holders revenue: $14.2m distributed to veGOMINING (23% APY, ~6x 1Y Holder P/FCF)
β’ $72.8m of organic token demand from users purchasing and spending $GOMINING to reduce mining costs (over $10m saved)
β’ 58.9% of the supply locked in ve-tokenomics and 7.5% permanently burned
Valueverse data: https://gomining.valueverse.ai/
GoMining Γ Valueverse
GoMining β Token Mechanics & Utility Dashboard
GoMining token economics dashboard β protocol revenue, discount mechanics, veGOMINING utility, and on-chain metrics.
π3
We just announced three new listings:
β’ f(x) Protocol $FXN
β’ Ramses $RAM
β’ StakeDAO $SDT
All these assets generate revenue for their holders. At Valueverse's Accrual (app.valueverse.ai) we will track:
β’ Holders revenue & revenue-eligible market cap
β’ P/FCF investment multiples
β’ Related metrics
Full article: https://x.com/valueverse_ai/status/2072014451465699788
β’ f(x) Protocol $FXN
β’ Ramses $RAM
β’ StakeDAO $SDT
All these assets generate revenue for their holders. At Valueverse's Accrual (app.valueverse.ai) we will track:
β’ Holders revenue & revenue-eligible market cap
β’ P/FCF investment multiples
β’ Related metrics
Full article: https://x.com/valueverse_ai/status/2072014451465699788
π₯3π2
An example what can be easily found with Valueverse engine:
Yield Basis supply insight:
- Over 10% of the theoretical
$YB supply is already locked (103M vs. 1B)
- veYB has absorbed 100% of all emitted $YB
Breakdown:
- Emissions: 42.0M (LPs) + 10.1M (Curve licensing) = 52.1m
- User locks (excluding team & investors): 61.0M YB
- Net absorption: +8.9M YB (61.0M locked vs. 52.1M emitted)
On top of that, another ~42M YB is locked by the team and investors.
Original tweet: https://x.com/valueverse_ai/status/2075185042184143242
Yield Basis supply insight:
- Over 10% of the theoretical
$YB supply is already locked (103M vs. 1B)
- veYB has absorbed 100% of all emitted $YB
Breakdown:
- Emissions: 42.0M (LPs) + 10.1M (Curve licensing) = 52.1m
- User locks (excluding team & investors): 61.0M YB
- Net absorption: +8.9M YB (61.0M locked vs. 52.1M emitted)
On top of that, another ~42M YB is locked by the team and investors.
Original tweet: https://x.com/valueverse_ai/status/2075185042184143242
π3
It looks like we can use P/FCF multiple as an additional indicator:
-> complementing classic technical analysis for mid-term trading and position management.
Market was pricing P/FCF even when this metric didn't exist and formed resistance and support zones not only around price levels, but around "what this token earns and how much it costs" levels as well.
From August 2025 to January 2026, approximately 5.5x acted as a valuation ceiling:
β’ 5.3x at $1.33
β’ 5.6x at $1.29
β’ 5.2x at $1.16
β’ 5.5x at $0.595
β’ 5.4x at $0.608
Different token prices, but almost the same valuation rejection.
Meanwhile, approximately 2.5x acted as support, reached at both $0.79 and $0.295.
Another interesting transition occurred around 3.3x: it initially behaved as resistance in May 2025, but later became supportβa classic resistance-to-support transition in fundamental valuation space.
Recently, the range appears to have rerated upward:
β’ New resistance: approximately 7.8β8.0x
β’ New support: approximately 3.5β3.9x
In implied veAERO annual yield terms, the old 2.5β5.5x range represented approximately 40%β18%, while the new 3.7β8.0x range represents approximately 27%β12.5%.
See yourself at https://app.valueverse.ai/tokens/aero
Original Tweet: https://x.com/vasily_sumanov/status/2077484295615402032
-> complementing classic technical analysis for mid-term trading and position management.
Market was pricing P/FCF even when this metric didn't exist and formed resistance and support zones not only around price levels, but around "what this token earns and how much it costs" levels as well.
From August 2025 to January 2026, approximately 5.5x acted as a valuation ceiling:
β’ 5.3x at $1.33
β’ 5.6x at $1.29
β’ 5.2x at $1.16
β’ 5.5x at $0.595
β’ 5.4x at $0.608
Different token prices, but almost the same valuation rejection.
Meanwhile, approximately 2.5x acted as support, reached at both $0.79 and $0.295.
Another interesting transition occurred around 3.3x: it initially behaved as resistance in May 2025, but later became supportβa classic resistance-to-support transition in fundamental valuation space.
Recently, the range appears to have rerated upward:
β’ New resistance: approximately 7.8β8.0x
β’ New support: approximately 3.5β3.9x
In implied veAERO annual yield terms, the old 2.5β5.5x range represented approximately 40%β18%, while the new 3.7β8.0x range represents approximately 27%β12.5%.
See yourself at https://app.valueverse.ai/tokens/aero
Original Tweet: https://x.com/vasily_sumanov/status/2077484295615402032
π4
Token Value Changes (17 JUL vs 17 JUNE)
Biggest gainer: $YB, Biggest loser: $UNI
βοΈ Gainers:
Token P/FCF 30D Change
$YB 5.7x - 80.4%
$AERO 6.0x - 8.1%
$VELO 7.2x - 12.5%
π Losers
Token P/FCF 30D Change
$AAVE 33.0x + 26.5%
$WELL 41.1x + 33.0%
$VVV 10.0x + 33.9%
$HYDX 10.3x + 34.6%
$UNI 60.5x +39.5%
β’ GAINERS (-%%) means future revenue became cheaper ($1 of token value captures more revenue for holder than before)
β’ LOSERS (+%%) means future revenue became more expensive ($1 of token value captures less revenue for holder than before)
Note: $AEROSTRAT (12.6x, +36.1%) excluded due to <1m mcap, $PUMP excluded due to technical reasons
Biggest gainer: $YB, Biggest loser: $UNI
Token P/FCF 30D Change
$YB 5.7x - 80.4%
$AERO 6.0x - 8.1%
$VELO 7.2x - 12.5%
Token P/FCF 30D Change
$AAVE 33.0x + 26.5%
$WELL 41.1x + 33.0%
$VVV 10.0x + 33.9%
$HYDX 10.3x + 34.6%
$UNI 60.5x +39.5%
β’ GAINERS (-%%) means future revenue became cheaper ($1 of token value captures more revenue for holder than before)
β’ LOSERS (+%%) means future revenue became more expensive ($1 of token value captures less revenue for holder than before)
Note: $AEROSTRAT (12.6x, +36.1%) excluded due to <1m mcap, $PUMP excluded due to technical reasons
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π³2π1
For $HYPE lovers: don't forget that 32% of Holders' Revenue is subsidy delivered to validators, so we have
β’ 65% of buybacks: 0.65*1.1 = ~$715m
β’ 32% of staking incentives 0.32*1.1 = $352m
So while $715m of $HYPE are bought back, $352m or ~50% are added to circulation, meaning that EFFECTIVE buyback rate (net) is 715-352 = $363m only(!)
https://app.valueverse.ai/tokens/hype
β’ 65% of buybacks: 0.65*1.1 = ~$715m
β’ 32% of staking incentives 0.32*1.1 = $352m
So while $715m of $HYPE are bought back, $352m or ~50% are added to circulation, meaning that EFFECTIVE buyback rate (net) is 715-352 = $363m only(!)
https://app.valueverse.ai/tokens/hype
π₯3π3π1π1
What happens if we value $HYPE against the supply that is actually exposed to its fundamentals?
β’ Not just the liquid float
On this basis: buybacks are priced at roughly >150Γ annual revenue.
The logic is simple:
β’ buybacks and burns should be measured against the entire supply they enrich.
β’ Locked tokens benefit from supply reduction just as much as liquid tokens do.
Illiquidity affects the ability to sell, not the amount of value accrued.
β’ Not just the liquid float
On this basis: buybacks are priced at roughly >150Γ annual revenue.
The logic is simple:
β’ buybacks and burns should be measured against the entire supply they enrich.
β’ Locked tokens benefit from supply reduction just as much as liquid tokens do.
Illiquidity affects the ability to sell, not the amount of value accrued.
π2π€1