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Scored by model · 3 samples, median · No human review
Rank 52 of 137 · clearer than 60% of the index, 56% of infrastructure · Reviewed 2026-10-14

Sh

supercomputer.sh  ·  infrastructure
73
GRADE B
BAND 68–78

What their homepage claims

“GPUs for agents, loved by humans.”

What that means

They provide GPU compute for running inference, training, experiments, evals, and fine-tuning for AI agents, billed per second.

Verdict

The copy clearly communicates the product category and has strong specificity, but uses abstract terms that slightly dilute clarity. The CTA is actionable and aligned with the promise.

What to fix first

Ranked by what each change is worth on the composite — the gap to the next rung of the ladder times the dimension’s weight. Computed from the scores, not written by the model; the model’s sentence under each is the action.

  1. 1Jargon-free quick win 65 → 80+3

    If aiming higher, reduce abstractions elsewhere (e.g., avoid words like 'workspace' in the supporting copy).

  2. 2Call to action quick win 80 → 95+2.3

    Follow with a clearer CTA like 'Install now' or 'Get started now' tied to the product claim.

  3. 3Proof needs a fact 5 → 20+2.3

    Include a customer name with numbers or a verifiable usage metric.

All three together: 73 → 81. Every dimension one rung up: 81 (grade A). Ceiling is 95.

A plainer headline

Theirs
“GPUs for agents, loved by humans.”
Index’s suggestion
“GPUs for AI agents to run inference and training”

Built only from facts already on the page — not the company’s words. Shown so the gap between what was written and what could have been written is concrete rather than a number.

Where the score comes from

Five dimensions on one ladder — 5 · 20 · 35 · 50 · 65 · 80 · 95 — weighted clarity 30%, specificity 20%, jargon 20%, proof 15%, call to action 15%. For each: the rung the page matched, the words that drove it, and what would reach the next rung. Full rubric →

Clarity30% 95

The headline uses a concrete product noun (GPUs) and a clear target (agents).

GPUs for agents, loved by humans.
Specificity20% 95

The page includes measurable elements (rates, comparisons) tied to outcomes.

2.2× The compute per dollar of AWS on-demand, 8× H100
Jargon-free20% 65

Minimal jargon in the headline itself; the rest of the page uses some domain-specific terms.

Scored from the page as a whole; no single line was cited.

Next rungIf aiming higher, reduce abstractions elsewhere (e.g., avoid words like 'workspace' in the supporting copy).

Proof15% 5

No named customers or verifiable third-party data; only illustrative comparisons.

Illustrative comparisons using the AWS p5.48xlarge on-demand rate in us-east-1 ($55.04/h, October 2026) and Modal's July 2026 GPU list prices.

Next rungInclude a customer name with numbers or a verifiable usage metric.

Call to action15% 80

There is an installation action presented, which serves as a next step.

Install curl -fsSL https://supercomputer.sh/install.sh | sh

Next rungFollow with a clearer CTA like 'Install now' or 'Get started now' tied to the product claim.

Evidence

GPUs for agents, loved by humans.Shows the concrete product noun (GPUs) and target use (agents).
2.2× The compute per dollar of AWS on-demand, 8× H100Numerical proof tied to outcomes, meeting specificity criteria.
What the scorer was given first 840 characters of the homepage text — check the quotes yourself
supercomputer — GPUs for agents, loved by humans
GPUs for agents, loved by humans.
Run inference, training, experiments, evals, and fine-tuning from your agent or terminal. Keep your workspace between runs.
Install
curl -fsSL https://supercomputer.sh/install.sh | sh Copy Installs the super CLI, signs you in, and teaches your coding agent to use it.
More compute per dollar
Typical rates, billed per second.
2.2×
The compute per dollar of AWS on-demand, 8× H100
AWS supercomputer
20%
Less than Modal on most GPUs
Modal supercomputer
$0
Compute when stopped
Illustrative comparisons using the AWS p5.48xlarge on-demand rate in us-east-1 ($55.04/h, October 2026) and Modal's July 2026 GPU list prices. supercomputer is a compute market, so rates move; your live rate is shown when you provision. Workspace storage is metered separately.

How this compares

60%of the index scores lower
+4vs index mean (69)
+2vs infrastructure mean (71)
+3vs median (70)
100%of headline words survive
3×independently scored

Strongest: Clarity 95. Weakest: Proof 5. The 3 passes agreed within 4 points. The band 68–78 is where a re-score of this unchanged page would most likely land: on 42 dry re-scores (12 Oct 2026) the median move was 6 points and one in four moved more than 10. A grade only changes when a new score clears the boundary by 5.

Nothing struck

No word in the headline itself was judged empty, yet jargon-free scores 65: the scorer found generic phrasing further down the page. Minimal jargon in the headline itself; the rest of the page uses some domain-specific terms.

Embed this rating

Sh scores 73 out of 100 on The Jargon Index

Static SVG. No JavaScript, no tracking.

Provenance

Scored from the live homepage on 2026-10-14 by gpt-5-nano, 3 independent passes, median taken. Page snapshot c5be1b98c506. Rubric 7329c240 (current; what it says). No person reviewed or edited this score. If the rubric and the score disagree, the rubric wins and the page is re-scored — not hand-corrected. Re-scored when the homepage text changes.