Product teardown
A curated sample showing what coExploro observes about onboarding, pricing cues, and UX signals.
Illustrative public sample. coExploro is not affiliated with Supabase.
Sample output
Overall score 90/100
PM 91
UX 88
Summary Card + findings
Summary Card
This public version uses the same compact card pattern as private teardowns: one score, four persona signals, and the strongest findings compressed into a card a product team can forward.
Read the methodologyOverall score
90/100
Confidence
high
PM
91/100
UX
88/100
teardown · captured 2026-08-10
Top findings
Findings
Marketing
High impact
A public repository star count in the primary navigation swaps conventional logo-cloud credibility for a signal the target audience knows how to interpret without explanation.
high confidence
PM
High impact
The footer carries "Switch from Firebase" and "Switch from Neon" as their own links, alongside audience paths for AI builders, agencies and startups. Rival product names are treated as navigation, not only as comparison content.
high confidence
UX
High impact
Four tiers spanning $25 to $599 per month are compared across a table of roughly 760 cells, measured in the live DOM. Every capability is listed rather than summarised.
high confidence
Design
Medium impact
An interactive usage calculator directly under the tier grid doubles the decisions on one screen: clarity for a curious reader, load for a scanning one.
mid confidence
FAQ
No. It covers three pages that were publicly visible on 10 August 2026. No project, private data or share link is involved.
All six UX dimensions were observable in this capture. Where a loading state never appears in frame, perceived performance goes unscored and confidence drops a band. It is a property of the run, not a verdict on the product.
That all six UX dimensions were observable in this capture. Most runs land a band lower because perceived performance needs a loading state to appear in frame. It describes the evidence available, not the quality of the product.
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