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formula 1.0

$TART FOMO score: 35/100, Warming Up

Result from 3 hours ago

  • New token, limited baseline

$TART

TartSwap

BNB Chain
  • pair 52d
  • liquidity $662K
  • DexScreener (opens in a new tab)
  • Website (opens in a new tab)
  • X (opens in a new tab)
  • Telegram (opens in a new tab)

as of 11:32 UTCcached

020406080100ICE COLDWARMING UPBUILDINGPEAK FOMO24h peak 35
35

warming up

24 hour peak 35
020406080100ICE COLDWARMING UPBUILDINGPEAK FOMO24h peak 35
35

warming up

24 hour peak 35

Some chatter, 74% organic.

Organic74%

Organic % shows how much of the chatter comes from accounts that look like established, independent people.

It reads account age, followers, profile details and posting patterns, so it describes account quality, not anyone's intentions.

See the full method on the Methodology page

Mostly real accounts

bright line = real accountdim line = low-quality account

25 authors: 16 look like real accounts, 9 look low-quality

38 posts on X0 on Telegram25 authorslast 60 min

Medium confidence

Telegram: 18 groups monitored

  • Velocity35% weight
    25
  • Breadth25% weight
    83
  • Engagement20% weight
    29
  • Cross-platform20% weight
    0
X38
100% of mentions
Telegram0
0% of mentions
24h loudness
1007550200PEAK FOMOBUILDINGWARMING UPICE COLD24h ago12h ago6h agonow35

Heat rose from 7 to 35 over the last 6 hours.

Social activity, not financial advice or a prediction. · formula 1.0

Show the mathHow this 35 was computed, step by step

Heat

PartInput, last 60 minutesSub-scoreWeightPoints
Velocityv = 12.5 weighted mentions ÷ max(10.8, 3) = 1.15×100 × min(1, log₂(1 + v) ÷ log₂ 21)New token: capped at 60 until there are 6 hours of history.25× 0.358.75
Breadtha = 25 unique authors (capped at 50)100 × min(1, log₁₀(1 + a) ÷ log₁₀ 51)83× 0.2520.75
Engagementr = 1.00× this token's usual engagement per post100 × min(1, log₂(1 + r) ÷ log₂ 11)29× 0.205.80
Cross-platformmin(25 on X, 0 on Telegram) = 0 authors100 × min(1, min(aX, aT) ÷ 10)0× 0.200.00
Heatround(35.30)35
  • 36 cashtag-only posts, counted at 0.3 (ambiguous)

Trend chart: every point is the 60 minutes up to that hour, scored with the same formula. X volume per hour comes from the Counts answer behind this score. Only the last point has X author profiles, because only the latest 50 posts are read, so the earlier points score Breadth and Cross-platform from Telegram authors alone and can sit lower than the live one. The last point is the headline Heat.

Organic %

Every author starts at weight 1 and is multiplied down for each warning sign: account under 30 days old (×0.2), under 50 followers (×0.4), default avatar (×0.5), Telegram sender with no username or photo (×0.4), part of a copy-paste cluster (×0.25), inside a one-minute burst (×0.5), posting 8 or more tracked tokens an hour (×0.3), never below 0.05. 100 × 18.55 ÷ 25 authors = 74%

Where the numbers came from

  • Token, pair and liquidity: DexScreenerlive
  • X: Counts API volume plus the 50 most recent postslive
  • Telegram: 18 public groupslive
  • Scoring engine, formula 1.0: same inputs, same numbers. Computed 11:32:54 UTC.live

Read the full method