Opinion page / measured product / rank 33
Caffeine Reviews and Ratings (2026)
Reader ratings for Caffeine, aggregated on the same 0 to 100 scale we use for the lab index, with our own commentary underneath. If you are looking for Caffeine opiniones, reviews or a rating you can check, the measurements behind every claim are on the Caffeine benchmark page.
Reader index
not rated yet
0 voters, 0 axis scores. Never blended into the lab index.
Lab index
60.10
Measured on the vibeOps spec
Strict pass rate
66.7%
30 clean and 3 failed executions
Median per prompt
150.6 s
p90 295.5 s
Reader index
One score per reader per axis on a 0 to 100 scale, editable at any time.
Reader index
not rated yet
Lab index
60.10
No reader has scored Caffeine yet. The first 3 voters put the column on the board.
The reader index is a weighted mean of reader submitted axis scores using the published index weights, renormalised over the axes readers have scored. It is never blended into the lab index. How this works.
Score Caffeine
Your scores feed the reader column only. Submitting an axis again edits your existing score rather than adding a second vote.
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Reader scores are published in a separate reader index column. They never move the measured lab index.
Reader lab notes on Caffeine
Written by readers with an account. Sorted by upvotes, then by date.
No reader lab notes yet. A note has to describe something you actually built, so the first one here is worth reading.
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What you built, what broke, what you measured. Short opinions belong in the open rating form further down.
Open rating distribution
Open ratings submitted without an account. Neither the lab index nor the reader index is part of this average.
| Band | Share | Ratings |
|---|---|---|
| 90 to 100 | 0 | |
| 80 to 89 | 0 | |
| 70 to 79 | 0 | |
| 60 to 69 | 0 | |
| 0 to 59 | 0 |
Lab commentary
Our reading of the numbers, kept separate from the reader ratings.
The only product in the index that deploys to a decentralised runtime, which makes it the hardest to compare fairly. Data durability and tenancy were strong, and the application kept running with no server to maintain. Everything that assumes a conventional web stack, from the crawlable page test to the outbound webhook prompt, either scored low or did not apply, and the first paint numbers are the worst in the cohort.
On the measured axes, Caffeine is strongest at value with a subscore of 76.0 and weakest at speed at 20.8. Because speed carries 7 of the 100 index points, that weakness costs it roughly 5.54 points against a perfect result on that axis alone.
Reader ratings and lab measurements answer different questions. A reader rating carries the thing a harness cannot capture: whether the product was pleasant to work with over weeks, how support behaved, whether the bill matched the plan. The lab index carries the thing an opinion cannot: 45 timed executions of the same specification with the failures counted. Read them side by side and treat a large gap between the two as the interesting signal.
0 open ratings
Newest first, no account needed. Moderated for spam and vendor astroturfing, not for sentiment.
No reader ratings published yet. Yours would be the first.
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No account needed. For a score that counts toward the reader index, use the axis form above.