Tokenelligence

Not another price tracker. Values-screened Solana research with scores we don't round up. Free screener ↓

[Tokenelligence @Tokenelligence]

Most crypto "research" tools are price trackers with extra steps.
We built Tokenelligence differently: every Solana project is screened for real utility and ethics before it gets scored — and we publish scores we can defend, not scores that match the hype.
Free while in beta. Here's how it works 🧵

[Tokenelligence @Tokenelligence]

“And @Tokenelligence is here to map the strongest ones.”

[Solana @solana]

all roads lead to Solana

[Tokenelligence @Tokenelligence]

@solana “And @Tokenelligence is here to map the strongest ones.”

[Tokenelligence @Tokenelligence]

This week at Tokenelligence, all of it in public:

• Initiated $RENDER at 80 — High Conviction, at the exact band floor

• Corrected $JTO 75 → 79 under a stricter scoring rule (still Watch, still under Trust Review)

• Published the rule
Every change logged, with the analyst's reason. 🧵

[Tokenelligence @Tokenelligence]

Coverage today:
$SOL 84

$RENDER 80

$JTO 79

$PYTH 77

$MNDE 73

Every score, factor breakdown, trust screen, and correction is public: https://t.co/EGOBs7DcwQ

[Tokenelligence @Tokenelligence]

This week at Tokenelligence, all of it in public:

• Initiated $RENDER at 80 — High Conviction, at the exact band floor

• Corrected $JTO 75 → 79 under a stricter scoring rule (still Watch, still under Trust Review)

• Published the rule
Every change logged, with the analyst's reason. 🧵

[Tokenelligence @Tokenelligence]

$JTO : corrected 75 → 79. This is not an upgrade.

The downgrade to Watch stands — $JTX 's perps and prediction-markets roadmap still arms the exclusion trigger.

What changed is our methodology: headline scores are now the weighted sum of the six factors, rounded. No analyst thumb on the scale.

Recomputed honestly, $JTO reads 79. Corrections get logged publicly — like this one.

[Tokenelligence @Tokenelligence]

$RENDER — our fifth rated asset.

Real paying GPU compute demand and fully documented Burn-Mint tokenomics. And the part bulls skip: the network is net-inflationary today — emissions run ~9× burns.

We scored what is, not the pitch. 80/100, one point above the High Conviction floor.

[Tokenelligence @Tokenelligence]

We just downgraded our own #2-rated asset.

Jito (JTO) has been High Conviction since we launched. Today it's Watch.

Why: Jito announced JTX will add perpetual futures and prediction markets, with 80% of revenue flowing to $JTO holders via buybacks (JIP-38). Those are excluded categories under our Trust Framework — the same grounds we excluded JUP and DRIFT.

So JTO is now under formal review, and we've published the exact trigger in advance: the day perps or prediction markets go live, JTO leaves our rated universe entirely.

To be clear — Jito's fundamentals are best-in-class and this is probably good for JTO's price. Our screen isn't a price forecast. It's a screen, and it has to bind us when it's inconvenient.

Full reasoning + Trust Framework v1.1:
https://t.co/MqcGtn9kcW

[Tokenelligence @Tokenelligence]

We just downgraded our own #2-rated asset.

Jito (JTO) has been High Conviction since we launched. Today it's Watch.

Why: Jito announced JTX will add perpetual futures and prediction markets, with 80% of revenue flowing to $JTO holders via buybacks (JIP-38). Those are excluded categories under our Trust Framework — the same grounds we excluded JUP and DRIFT.

So JTO is now under formal review, and we've published the exact trigger in advance: the day perps or prediction markets go live, JTO leaves our rated universe entirely.

To be clear — Jito's fundamentals are best-in-class and this is probably good for JTO's price. Our screen isn't a price forecast. It's a screen, and it has to bind us when it's inconvenient.

Full reasoning + Trust Framework v1.1:
https://t.co/MqcGtn9kcW

[Tokenelligence @Tokenelligence]

New rating: $MNDE — 73/100, Watch.

The surprise: Marinade has the best token value-accrual we've rated — 50% of protocol revenue goes to automated buybacks. Better mechanics than protocols 10x its size.

The problem: direction. Lost the LST crown to Jito, TVL declining, and a 2025 validator-exploit scar.
Plus a first for our Trust Framework: a flagged condition. Marinade's new Borrow feature integrates lending products — deeper integration triggers exclusion review. The screen has teeth.

Full breakdown: https://t.co/hFuxoO3pyr

That's 4 ratings live. 2 High Conviction, 2 Watch. We publish the spread, not the hype. Next: your call 👇

[Tokenelligence @Tokenelligence]

Two new ratings live on Tokenelligence 🧵

$JTO — 81/100, High Conviction
$PYTH — 77/100, Watch

One of these is our first-ever Watch call on a major asset. Here's why we couldn't give both the green light 👇

[Tokenelligence @Tokenelligence]

Most crypto "research" tools are price trackers with extra steps.
We built Tokenelligence differently: every Solana project is screened for real utility and ethics before it gets scored — and we publish scores we can defend, not scores that match the hype.
Free while in beta. Here's how it works 🧵

[Tokenelligence @Tokenelligence]

Appreciate it 🙏 $MNDE was a good test of the framework — it forced us to score a shrinking protocol's tokenomics above the category leader's (79 vs Jito's 68), because mechanical buybacks beat theoretical governance value. The framework decides, not the market cap.
Anything you'd want rated next?

[Tokenelligence @Tokenelligence]

New rating: $MNDE — 73/100, Watch.

The surprise: Marinade has the best token value-accrual we've rated — 50% of protocol revenue goes to automated buybacks. Better mechanics than protocols 10x its size.

The problem: direction. Lost the LST crown to Jito, TVL declining, and a 2025 validator-exploit scar.
Plus a first for our Trust Framework: a flagged condition. Marinade's new Borrow feature integrates lending products — deeper integration triggers exclusion review. The screen has teeth.

Full breakdown: https://t.co/hFuxoO3pyr

That's 4 ratings live. 2 High Conviction, 2 Watch. We publish the spread, not the hype. Next: your call 👇

[Tokenelligence @Tokenelligence]

@CoinMarketCap #Tokenelligence

[Tokenelligence @Tokenelligence]

@Mustafizur7364 Delivered 🤝 That's the standing deal — you ask, we research, it goes on the record either way. High Conviction or Watch, the score is what the data says.
What should we put through the framework next?

[Tokenelligence @Tokenelligence]

Two new ratings live on Tokenelligence 🧵

$JTO — 81/100, High Conviction
$PYTH — 77/100, Watch

One of these is our first-ever Watch call on a major asset. Here's why we couldn't give both the green light 👇

[Tokenelligence @Tokenelligence]

Appreciate that 🙏 The methodology is the whole product — same six factors, same weights, every project, no exceptions. That's how PYTH's elite tech (85 fundamentals) and rough supply picture (55 tokenomics) can both be true in one rating.
Anything you'd add or change in the framework? Genuinely asking — it's v1, not scripture.

[Tokenelligence @Tokenelligence]

$PYTH: arguably the best oracle tech in crypto — 500+ feeds, 50+ chains, first-party data. But the token just absorbed a ~21%-of-supply cliff unlock, with more scheduled.

Elite protocol ≠ elite token. That's why it's a Watch, not a buy rating.

https://t.co/EjXLmoAEnj

Full methodology on every rating. Next project: reply and tell us.

[Tokenelligence @Tokenelligence]

$JTO: the machine verifiably earns — ~94% validator client share, largest LST on Solana, MEV revenue daily. The catch: almost none reached holders until the new JTX terminal (80% of its revenue pledged to JTO). That's the bet we're rating.

https://t.co/tKedIobqn5