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Kling

Kling is an AI video generation tool developed by Kuaishou for creators producing short and long-form video content.

Primary category: AI Video
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated July 13, 2026

Overall Pulse Score

62
Pulse Score

-8 over this period

A 0-100 index summarizing the tone of 299 relevant public mentions gathered from public online communities across 25 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Sentiment around Kling picked up modestly over the recent period, with a majority of mentions tied to new feature releases and commenters expressing general praise for recent updates and AI output quality. Several discussions compared Kling favorably to competitors, though a handful of commenters felt results fell short when stacked against tools like Sora. A smaller number of mentions flagged occasional bugs and UI concerns, but overall discussion leaned more positive than critical.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Ringed points mark weeks with unusually high discussion volume, more than double this product's typical week.

Most-discussed praise

Strong features70
AI quality53
New releases49
Compared to rivals37
Performance9

Most-discussed complaints

Compared to rivals20
Bugs19
AI quality17
Missing features9
Pricing too high6

Themes across the selected period, with mention counts.

How Kling compares

Pulse Score over the selected period versus the top tracked competitors in AI Video.

Where the mentions come from

Share of the 299 relevant public mentions in the selected period, by source.

Bluesky33% (98)
GitHub28% (83)
YouTube27% (81)
Hacker News12% (37)

Sample public mentions

Showing 5 of 299 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Hey HN — we’re Rajit, Land, and Alex. We’re building Prism (https://www.prismvideos.com), an AI video creation platform and API.Here’s a quick demo of how you can remix any video with Prism: https://youtu.be/0eez_2DnayIHere’s a quick demo of how you can automate UGC-style ads wit...

Hacker NewsMar 11, 2026

Traveling around the world ... then back at home. (not really what I wanted - time to rewrite my prompt and try again!) Kling 3.0 Pro at #KazeAI

BlueskyJun 16, 2026

Re: "Seedance 2.0 vs Kling 3.0 - Which is the BEST AI Video Generator". The worst feeling is when you blow a bunch of tokens on a Seedance prompt, and it fails because you didn't prompt it well enough.

YouTubeApr 29, 2026

Tried a remix of the prompt shared for the video below in Kling 03 Pro. Not nearly as good as the Sora video below! Thanks for sharing. 📻

BlueskyJun 16, 2026

I'm Caesar, and I built kling.to because I believe marketing automation should be accessible to everyone without sacrificing data ownership.Kling is a self-hosted email marketing platform that lets you run campaigns, build automation workflows, segment audiences, and track attrib...

Hacker NewsJan 18, 2026

403+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • New feature releases dominated positive discussion and appear to have driven the late-window score recovery.
  • Sentiment dipped through mid-period before a sharp rebound, leaving the overall trajectory modestly improved but unsteady.
  • AI output quality divided commenters, appearing on both the praise and complaint sides with competitor comparisons reinforcing the tension.
  • Complaints were low in volume across the window, which softened negativity even during the weeks when scores were weakest.
Praise themeMentions
Strong features70
AI quality53
New releases49
Compared to rivals37
Performance9
Complaint themeMentions
Compared to rivals20
Bugs19
AI quality17
Missing features9
Pricing too high6

Discussion around Kling over the four-week window was moderately active at 74 mentions, with sentiment climbing from a softer stretch earlier in the period to a more positive footing by the final weeks. The dominant story in public conversation was clearly new feature releases, which generated the single largest cluster of commentary by a wide margin. Commenters appeared energized by updates arriving during this window, and that enthusiasm seemed to be the primary engine behind the score recovering after a notable dip.

The score trajectory tells a somewhat uneven story. Sentiment slid gradually through the first several weeks, touching its lowest point in the tracked period before a sharp rebound pushed the score well above where it had been sitting for most of the window. That late surge coincided with a burst in mention volume, suggesting a specific release or announcement drew a fresh wave of commentary. The rise was not fully sustained in the most recent reading, which pulled back modestly, leaving the overall tone cautiously positive rather than conclusively enthusiastic.

AI output quality was a genuinely divided topic across the discussion. It appeared prominently on both the praise and complaint sides, meaning commenters were not arriving at a consensus view. Sample mentions reflected this split directly, with one commenter expressing mild frustration at results not matching intentions and another making an unfavorable comparison to a competitor's output. Competitor comparisons surfaced repeatedly in both directions, suggesting the product is being actively benchmarked against peers in the space.

Complaints were relatively sparse overall, with bugs, interface concerns, and missing features each drawing only small clusters of mentions. The low volume of criticism kept the tone from turning negative even during the weaker scoring weeks, and praise themes outnumbered complaint themes substantially across the full window.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
408
Mentions in selected period
299
Weeks in range
25
vs AI Video average (60)
Above by 2
Pricing
Free tier; paid plans available
Sources
Bluesky (98), GitHub (83), YouTube (81), Hacker News (37)

Compare with another tool

Kling

62

Trainual

88

Full comparison

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