Video summary

I Tested 100 Altcoins. Only These Passed.

Main summary

Key takeaways

Finance

Finance / Market Context & Thesis

  • The speaker argues crypto is shifting from an “unregulated” market to one increasingly shaped by institutions, which will determine which coins thrive.

  • She compares the moment to the dot-com era, where investors’ criteria changed after the crash:

    • Pre-crash (boom) criteria

      • Losses could be reframed as “growth”
      • Burning cash = “moving fast”

    • Post-crash criteria

      • Profits and revenue quality mattered more
      • Cash stockpiles and monetization mattered more than hype

  • Core warning: holding “old”/low-quality coins that lack attention from large players increases the risk of failure.

Key Numbers & Dot-Com Analogies

  • Nasdaq fell 83% in the dot-com crash washout.
  • Amazon fell 95%.

Valuation comparison (dot-com example)

  • eToys
    • Valued at $7.6B
    • On $35M sales
  • Toys “R” Us
    • ~Half eToys’ market cap
    • $11B in sales

Crypto takeaway

  • Institutions will increasingly favor coins where value is supported by fundamentals, not marketing or hype.

Market Concentration / “Performance of Selection” Claim

Using “No BS terminal” dominance data:

  • Only 6% of crypto money sits in ranks 11–100.
  • Ranks 2–10 (from Ethereum down to rank 10) hold 22% market share.
  • Ranks 501–2000
    • About 0.4% of money
    • Despite containing ~1500 coins

Implication

  • As institutional buying concentrates toward “quality,” retail may be forced to “chase pumps,” reinforcing centralization at the top.

Methodology / Step-by-Step Framework (Institution-Aligned)

The framework is attributed to Pantera (and informed by S&P Global index work), with an added token-unlock/tokenomics risk layer from the speaker.

Universe / Exclusions

  • Starts with top ~100 altcoins, excluding Bitcoin from the test list.
  • Excludes/avoids categories labeled as:
    • meme coins
    • stable coins
    • derivative coins
  • Aims for “perfect scores” rather than “5 out of 6.”

The Six Tests

  1. On-chain protocol revenue is positive in Q1 and Q2.
  2. Market cap threshold: around >$5M (“test two”).
  3. Liquidity / turnover:
    • 90-day median dollar volume relative to market cap
    • Requires volume / market cap > 0.5 for 90 days
  4. Token capture / value accrual, e.g.:
    • burns
    • buybacks
    • revenue directed to treasury/governance
    • used for protocol-beneficial purposes
  5. Third-party supply overhang control (12-month releases):
    • third-party releases < 5% of current supply over 12 months
  6. Near-term third-party distribution risk:
    • No third-party release event > 1% of supply in the next 90 days

Token Unlocks / Emission Schedule Caution

  • Unlocks/distributions can undermine “positive” tokenomics (burns/buybacks/fee switches) because tokens may go to:
    • team or third parties (investors/advisors)
    • who may be more likely to sell instead of supporting protocol value.

Results: Which Coins Pass (and Key Failures)

Passed / Included (initial S&P / Pantera Digital Asset Index set)

  • Ethereum (ETH)
  • Binance (BNB)
  • XRP
  • Solana (SOL)
  • Tron (TRX)

Fails the “perfect-score” set (example highlighted)

Hyperliquid (ticker not explicitly stated)

  • Fails primarily on token unlock / third-party distribution tests.
  • Unlocks to insiders/core contributors; observed behavior suggests recipients are selling or moving tokens, including entities that appear non-staked.

Other examples mentioned as passing

  • Chainlink (LINK) — passed
  • Cardano (ADA) — passed
  • Gram (TON / Telegram’s coin; “Gram/previously Toncoin”) — passed
  • Hedera (HBAR) — passed
  • Sui (SUI) — passed
  • Avalanche (AVAX) — passed
  • Uniswap (UNI) — passed
  • NEAR Protocol (NEAR) — passed
  • Aave (AAVE) — emphasized as strong tokenomics (“gives none… distribution to third parties at all”), so it passes third-party release tests
  • Mantle (MNT) — passed
  • Sky — passed (ticker not clearly specified)
  • Internet Computer Protocol (ICP) — passed
  • Render (RNDR) — passed
  • Algorand (ALGO) — passed
  • Unspecified “X” — passed (ticker not clarified in subtitles)
  • Tensor (TNSR) — “green” (passed under her pass/fail coloring)

Other names appear in different colors, with the key explicit avoids being meme coins / stables / derivatives:

  • Jupiter, Falcon, Pancake Swap, Aptos

Specific Failures Explained

Ondo (ONDO)

  • Fails test 1: no on-chain revenue verification
  • Fails test 4: unclear value accrual (described as “just got a governance token”; a fee switch would change the outcome)
  • May pass some unlock timing tests, but fails based on 12-month unlock timing (next unlock ~7–8 months away)

Quant (QNT)

  • 4/6
  • Fails revenue and value accrual
  • Described as mostly off-chain

Morpho

  • Fails because the fee switch is not yet live (“doesn’t quite have a fee switch just yet”)
  • Would likely improve once it has one, but still would fail on 12-month vesting

Casper and Athena

  • Fail (names only; no detailed test-by-test provided)

Explicit Recommendations / Cautions

Prefer / look for coins that have:

  • On-chain revenue
  • Adequate liquidity for underwriting (90-day volume vs market cap)
  • Token capture / value accrual (burns, buybacks, treasury for protocol benefit)
  • Managed third-party token release risk
    • both next 90 days
    • and next 12 months

Avoid / discount coins that rely on:

  • Off-chain or non-verifiable revenue
  • Lack of value accrual
  • Heavy insider/third-party unlock distributions where tokens appear to be sold

Preference

  • Use “perfect scores” rather than partial screening.

Disclosures / Disclaimers

  • The clip references “extract taken from our No BS terminal” and a private community/report.
  • No explicit “not financial advice” disclaimer appears in the provided subtitles.

Presenters / Sources Mentioned

  • Karen (speaker)
  • Pantera (crypto venture capital; framework and “survey” attribution)
  • S&P Global (index methodology influence for the digital asset index)
  • No BS terminal (data source for dominance/concentration claims)
  • Fortune 500 companies (described as surveyed by Pantera)

Original video