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Pika

Pika is an AI video generation platform that lets users create and edit short videos from text or image prompts.

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 August 3, 2026

Overall Pulse Score

59
Pulse Score

+12 over this period

A 0-100 index summarizing the tone of 206 relevant public mentions gathered from public online communities across 24 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

Community sentiment around Pika over the recent period has been mixed but leaning cautiously positive, with commenters most frequently praising specific features and perceived AI output quality. Several mentions highlighted a notable new feature release as a point of excitement. On the downside, discussion included recurring bug reports and comparisons to competitors that did not always favor Pika, while a smaller number of voices raised concerns about the interface and general reliability.

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.

Most-discussed praise

Strong features28
New releases19
AI quality19
Fair pricing7
Easy to use6

Most-discussed complaints

Bugs54
Reliability26
Missing features19
Feature requests14
Compared to rivals10

Themes across the selected period, with mention counts.

How Pika compares

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

Where the mentions come from

Share of the 206 relevant public mentions in the selected period, by source.

GitHub67% (139)
Bluesky30% (62)
Hacker News1% (3)
YouTube1% (2)

Sample public mentions

Showing 5 of 206 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Seriously, get the heck outta there 😵‍💫 Pika.page by @goodenough.us is SUPER DUPER CHEAP and it's really fucking good! You can export and import every single post from SubStack over to Pika in just a few minutes. Get the heck outta SubStack lmao

BlueskyJul 19, 2026

The Animal Velocity above the "you should see the fursuit" one or lobotomy... I do like the "First Rodeo" though! lol! (Pika is good but I'd not have it on my car for fear of offending someone parked at a school where I teach or something :P)

BlueskyJul 12, 2026

Problema com as palavras 'pipoca' e 'pica'. A palavra 'pipoca' está sendo bloqueada, provavelmente por causa da semelhança com a palavra 'pir0ca'. A palavra 'pica' ou 'pika' não está sendo bloqueada, e ela significa a mesma coisa da palavra 'pir0ca'. Talvez por ser próxima do ver...

GitHubApr 8, 2026

ExchangeType enum values are wrongly classified as str. https://github.com/baodrate/types-pika/blob/ccde5ce04818c1e678ff46f701203cd5322f2683/pika-stubs/exchange_type.pyi#L3-L7 This is causing type checking to fail when ExchangeType is passed to exchange_declare: https://play.ty.d...

GitHubFeb 6, 2026

Importing pika.adapters can break asyncio subprocesses on Windows. On Windows, importing pika.adapters, which indirectly imports asyncio_connection, changes the process-wide asyncio event loop policy. That can break unrelated asyncio code running in the same process. Here is a mi...

GitHubJul 2, 2026

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Deeper analysis

  • Feature praise and AI quality led positive discussion, but bug complaints and competitor comparisons were the most common sources of friction.
  • Sentiment followed a volatile path over the window, peaking in late June before dropping sharply in early July and only partially recovering.
  • Higher-volume discussion periods tended to carry more critical energy, pulling the score down when the most commenters were engaged.
  • Opinion was divided most visibly on competitive standing, with enthusiastic supporters and skeptical comparers often appearing in the same conversation.
Praise themeMentions
Strong features28
New releases19
AI quality19
Fair pricing7
Easy to use6
Complaint themeMentions
Bugs54
Reliability26
Missing features19
Feature requests14
Compared to rivals10

Discussion about Pika over the four-week window was moderately active, with 41 total mentions producing a mixed but cautiously positive overall tone. Feature praise dominated the conversation, appearing more than any other theme, and commenters also gave meaningful attention to AI quality and what several mentions framed as notable new feature releases. Pricing and ease of use drew smaller but genuine appreciation, suggesting that when the conversation turned positive it tended to be fairly broad rather than concentrated on one dimension.

The score trajectory tells a story of real volatility rather than steady sentiment. Discussion opened the window at a low point, then climbed sharply in mid-June before softening slightly, only to reach its highest recorded point at the end of June. July brought a significant drop back toward the opening lows, coinciding with the window's heaviest mention volume, which suggests that wider audience exposure at that point carried more critical energy. The final weeks showed a partial recovery, leaving sentiment trending modestly upward as the window closed, though still well below the June peak.

Bug complaints were the clearest source of negative feeling, appearing six times and making bugs the top complaint theme by count. Competitor comparisons also surfaced meaningfully, and discussion suggested some commenters were actively benchmarking Pika against alternatives, which introduced skepticism even within otherwise neutral conversations. UI concerns and reliability appeared at lower frequency but added to an undercurrent of friction.

Opinion was most divided around the product's overall standing relative to competitors. Commenters who praised AI quality and new releases seemed genuinely enthusiastic, while those raising competitor comparisons and bugs expressed frustration in the same threads, creating a tension that the aggregate score reflects. The high-volume periods in the data tended to pull sentiment downward, suggesting that broader community exposure amplified criticism more than praise.

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)
275
Mentions in selected period
206
Weeks in range
24
vs AI Video average (59)
On average
Pricing
Free tier; paid plans available
Sources
GitHub (139), Bluesky (62), Hacker News (3), YouTube (2)

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Pika

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Full comparison

Score-level preview from live weekly tracking.

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