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Jasper

AI writing platform built for marketing teams to create, edit, and manage on-brand content at scale.

Primary category: AI Writing
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

54
Pulse Score

+19 over this period

A 0-100 index summarizing the tone of 91 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

Community sentiment around Jasper has been mildly positive over the recent period, with a pulse score edging up slightly from 49 to 52. Several mentions praised specific features and a handful of commenters highlighted ai quality as a strength, with a few competitor comparisons appearing to favor Jasper. On the downside, bugs drew the most complaint mentions, and some discussion touched on performance concerns and pricing feeling too high for some users.

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 features16
AI quality9
Compared to rivals7
New releases3
Fair pricing2

Most-discussed complaints

Bugs24
Reliability15
Compared to rivals10
Missing features6
Pricing too high5

Themes across the selected period, with mention counts.

How Jasper compares

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

Where the mentions come from

Share of the 91 relevant public mentions in the selected period, by source.

GitHub65% (59)
Bluesky31% (28)
Hacker News4% (4)

Sample public mentions

Showing 5 of 91 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Fix 11 true-positive path-injection findings (3 bugs). ## Context Audit of 110 open GitHub code-scanning path-injection alerts across CodeQL / SonarCloud / Snyk Code / Snyk OSS identified **99 false positives** (already defended by PathValidationUtils, FilenameUtils.getName(), or...

GitHubApr 12, 2026

SUnit test discovery crashes and silently drops test suites when a TestCase name exists in two dictionaries (dictionary-unaware test handling). ## Summary Jasper's GemStone SUnit integration identifies test classes by **name only**, with no dictionary qualification. When a user's...

GitHubJun 17, 2026

Opening a method/class definition/comment containing non-ASCII characters silently fails (Unicode16 source decoded as UTF-8). ## Environment - GemStone/S 64 Bit 3.7.5 - Jasper 1.6.0 - macOS Symptom Clicking a method in the System Browser appears to do nothing: the editor never op...

GitHubJun 9, 2026

Would like GCI tests to use env variables ($GEMSTONE, etc) and not to hard code stone/netldi. I haven't yet been able to run the Jasper GCI tests and today investigated why. A lot of the tests have hardcoded stone & netldi paths. Example: (gciBrowser.tests.ts) const STONE_NRS = '...

GitHubJun 17, 2026

Use custom icons for Gemstone code tabs. I realized that Jasper is using a very generic icon for Gemstone-related tabs, and when you are working on a project mixing languages (like when working with the Python bindings), it would be useful to get a catchier icon in the tabs to qu...

GitHubJun 9, 2026

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Deeper analysis

  • Feature praise dominated positive discussion but was consistently offset by recurring bug complaints.
  • Sentiment dipped sharply during high-volume weeks and recovered only when discussion volume fell, pointing to an engaged but mixed broader audience.
  • Opinion split most visibly around competitive value, with some commenters defending Jasper against rivals while others flagged performance and pricing concerns.
  • The most recent weeks trended upward in tone, though the very low mention counts make that recovery tentative rather than conclusive.
Praise themeMentions
Strong features16
AI quality9
Compared to rivals7
New releases3
Fair pricing2
Complaint themeMentions
Bugs24
Reliability15
Compared to rivals10
Missing features6
Pricing too high5

Discussion around Jasper over the past four weeks painted a picture of cautious but gradually recovering sentiment, with feature praise emerging as the clearest throughline in public commentary. Commenters most frequently highlighted specific features they found useful, and a smaller cluster of mentions touched on AI output quality in favorable terms. The overall tone was neither strongly enthusiastic nor sharply critical, suggesting a user base that engages with the product regularly enough to have detailed opinions but remains watchful.

The score trajectory told a more turbulent story beneath that surface. An early high point gave way to a notable dip when mention volume spiked, a pattern that repeated itself in late May and early June when heavier discussion again pulled sentiment downward. This dynamic suggested that broader conversational moments, likely when more casual or frustrated users weighed in, tended to dilute the more positive tone seen in quieter periods. The most recent data points showed a meaningful uptick, though those came from very low mention counts, so discussion was cautious about reading too much into them.

Bug reports were the most consistent source of negative tone across the window, appearing more frequently than any other complaint theme. Mentions of slowness and performance concerns added to that friction, and a thread of pricing criticism suggested some commenters felt the value proposition was strained. These complaints did not dominate the conversation numerically but carried enough weight to anchor overall sentiment in middling territory.

Opinion was noticeably divided when the conversation turned to competitive positioning. A subset of commenters framed Jasper favorably against alternatives, while the bug and performance complaints implicitly raised questions about whether the product was keeping pace. The UI and desktop app each drew isolated praise, hinting at pockets of satisfaction that never cohered into a broader positive wave during this 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)
144
Mentions in selected period
91
Weeks in range
25
vs AI Writing average (60)
Below by 6
Pricing
Paid plans available
Sources
GitHub (59), Bluesky (28), Hacker News (4)

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Jasper

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