Valueverse
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Your guide in value narratives:
app.valueverse.ai
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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)
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Looks like the answer "Why you build Valueverse, how I can make money on this data?" finally finds an answer.

Thanks to the market.
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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- Strategy: analyze what prices/valuations is possible through data of its historical reference: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". That’s 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.

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X posts:
β€’ https://x.com/vasily_sumanov
β€’ https://x.com/valueverse_ai/status/2058666160569434469
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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.
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πŸ“First 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 you’ve 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
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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
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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.
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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
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Interesting observation:

Same trade, both assets: $1k/week, 130 weeks β†’ $130k in.

$BTC β†’ $101.5k (βˆ’$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
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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/
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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
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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
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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 supportβ€”a classic resistance-to-support transition in fundamental valuation space.

Recently, the range appears to have rerated upward:
β€’ New resistance: approximately 7.8–8.0x
β€’ New support: approximately 3.5–3.9x

In implied veAERO annual yield terms, the old 2.5–5.5x range represented approximately 40%–18%, while the new 3.7–8.0x range represents approximately 27%–12.5%.

See yourself at https://app.valueverse.ai/tokens/aero

Original Tweet: https://x.com/vasily_sumanov/status/2077484295615402032
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$AERO: P/FCF support and resistance levels AND eff.mcap vs. revenue charts
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Token Value Changes (17 JUL vs 17 JUNE)

Biggest gainer: $YB, Biggest loser: $UNI

↗️ Gainers:

Token P/FCF 30D Change
$YB 5.7x - 80.4%
$AERO 6.0x - 8.1%
$VELO 7.2x - 12.5%

πŸ“‰ 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
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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
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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.
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Some thoughts on the current state of $UNI token.

$UNI has:
β€’ biggest DEX brand & TVL
β€’ revenue growth (+40% 90D, +61% since 13th march)
β€’ Robinhood viratily

Price action isn't so optimisic.
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