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Verified AI benchmark

Product Hunt Verified User Rating — Product Experience Leaderboard

Public product-experience rating normalized from 5.0/5 to 100.0/100.

Semantic classProduct Experience CategoryProduct Experience DirectionHigher is better VersionSnapshot 2026-09-07 Verified entities17
How to interpret this leaderboard

What this benchmark does—and does not—measure

This is a product-experience signal. It reflects the published user/reviewer rating represented by the source and is kept separate from technical model benchmarks. A high score here should not be read as proof of stronger reasoning, coding or model capability.

Method & source

Unit
points
Results
17
Latest test
Sep 7, 2026
Distinct source links
17
Open official methodology / source
Leading score100.00 points
Entities at top score6
Evidence freshnessSep 7, 2026
Verified results

Product Hunt Verified User Rating — Product Experience rankings

Only the latest verified result for each listed entity is shown. Equal scores receive the same displayed rank.

RankModel / ToolScoreTestedEvidence
#1Tied Scenario 100.00points Sep 7, 2026 Product Hunt
#1Tied Splash Pro 100.00points Sep 7, 2026 Product Hunt
#1Tied Kimi 100.00points Sep 7, 2026 Product Hunt
#1Tied Browser Use 100.00points Sep 7, 2026 Product Hunt
#1Tied Aider 100.00points Sep 7, 2026 Product Hunt
#1Tied Consensus 100.00points Aug 28, 2026 Product Hunt
#7 Continue 98.00points Sep 7, 2026 Product Hunt
#8 Tripo AI 96.00points Sep 7, 2026 Product Hunt
#8 Beatoven.ai 96.00points Sep 7, 2026 Product Hunt
#10 Pieces 94.00points Sep 7, 2026 Product Hunt
#10 Cline 94.00points Sep 7, 2026 Product Hunt
#10 Magnific AI 94.00points Sep 7, 2026 Product Hunt
#13 Haiper 92.00points Sep 7, 2026 Product Hunt
#13 Moises 92.00points Sep 7, 2026 Product Hunt
#15 Langflow 90.00points Sep 7, 2026 Product Hunt
#15 LTX Studio 90.00points Sep 7, 2026 Product Hunt
#17 Clipdrop 62.00points Sep 7, 2026 Product Hunt
Limitations

What to keep in mind

A benchmark is one evidence signal, not a universal product verdict. Test conditions, benchmark versions, source methodology and date can all affect interpretation. Compare shared benchmarks and current product evidence before making a model or tool decision.

Freshness

Why dates and sources are shown

AI Orbit retains the source and tested date for each verified result so readers can judge whether evidence is current enough for their use case. Older evidence is not silently presented as a new test.