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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 July 6, 2026

Overall Pulse Score

64
Pulse Score

+13 over this period

A 0-100 index summarizing the tone of 176 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 has trended notably more positive over the recent period, with the pulse score climbing from 54 to 64 across 31 mentions. Commenters most frequently praised the interface and overall feature set, with several mentions highlighting AI output quality and recent new releases as encouraging signs. A handful of discussions touched on bugs and reliability concerns, and a few commenters drew comparisons to competitors, though these complaints were relatively limited compared to the volume of positive feedback.

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 features17
New releases13
AI quality12
Polished UI6
Good integrations5

Most-discussed complaints

Bugs54
Reliability29
Missing features20
Feature requests16
UI frustrations7

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 176 relevant public mentions in the selected period, by source.

GitHub82% (144)
Bluesky15% (26)
Hacker News2% (4)
YouTube1% (2)

Sample public mentions

Showing 5 of 176 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

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

feat: Wrapper macros for grammar definition + folds. Firstly - great package, thank you for all your hard work! I have been wrapping the PikaParser.jl workflow in a few macros, and wanted to float them for your consideration. The two macros are in the gist here -- @pika_grammar p...

GitHubFeb 15, 2026

Worker disconnected unexpectedly on Google Meet join (3 consecutive attempts). ## Description When attempting to join a Google Meet call using the pikastream-video-meeting skill, the session is created successfully but immediately fails with Worker disconnected unexpectedly. Step...

GitHubApr 5, 2026

pikastream-video-meeting join fails: backend rejects DevKey multipart (Legacy multipart requires AgentKey auth). # pikastream-video-meeting join fails: backend rejects DevKey multipart Summary scripts/pikastreaming_videomeeting.py join fails with HTTP 400 at the meeting-session e...

GitHubApr 23, 2026

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Deeper analysis

  • Praise for the interface and specific features dominated the overall discussion across the four-week window.
  • Sentiment dropped sharply in mid-to-late May before recovering strongly through June into notably positive territory.
  • AI output quality divided opinion, appearing as both a top praise theme and a complaint theme among different commenters.
  • The late-June conversation carried the highest sentiment readings of the entire period despite lower mention volume.
Praise themeMentions
Strong features17
New releases13
AI quality12
Polished UI6
Good integrations5
Complaint themeMentions
Bugs54
Reliability29
Missing features20
Feature requests16
UI frustrations7

Discussion around Pika over the past four weeks painted a picture of a product working its way back into the good graces of its online audience after a notably rough stretch. The most recent pulse score of 64, up from a previous reading of 54, reflects a recovery that the score trajectory makes vivid: sentiment cratered through mid-to-late May, touching lows in the mid-twenties before a sustained climb carried scores into the seventies and eighties by late June. The sharpest drop coincided with a spike in mention volume around late May, suggesting that a wave of critical voices arrived together, possibly in response to a specific update or experience, before a quieter but more positive crowd took over in June.

Praise dominated the conversation in terms of raw theme counts. Commenters were most vocal about the interface, with ui_praise leading all themes, and several mentions highlighted specific features in favorable terms. A smaller but notable cluster of discussion touched on ai_quality and new feature releases, suggesting some users were reacting positively to recent changes. Pricing sentiment also surfaced, with a handful of commenters describing the cost as reasonable, which tends to carry weight in an AI tool category where pricing draws frequent criticism.

Complaint themes were fewer in number but covered meaningful ground. Bugs and reliability concerns appeared in the discussion, and at least one thread drew comparisons to competitors in a way that framed Pika less favorably. The ai_quality theme appearing on both sides of the ledger was a point of genuine division, with some commenters impressed and others underwhelmed by the same underlying capability.

By late June the conversation had thinned in volume but grown considerably warmer in tone, with scores in the high seventies and low eighties suggesting the most recent voices were among the most satisfied in the 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)
234
Mentions in selected period
176
Weeks in range
24
vs AI Video average (57)
Above by 7
Pricing
Free tier; paid plans available
Sources
GitHub (144), Bluesky (26), Hacker News (4), YouTube (2)

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Pika

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Score-level preview from live weekly tracking.

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