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Honeycomb

Honeycomb is an observability platform that helps engineering teams query and analyze production system behavior through event-based telemetry data.

Primary category: Coding
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

44
Pulse Score

-5 over this period

A 0-100 index summarizing the tone of 171 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

Sentiment around Honeycomb over the recent period skewed negative, with bugs and reliability concerns dominating discussion across 27 mentions. Commenters flagged several specific issues including session capture before project binding, a dashboard scope switcher that reportedly fails to persist selections, and OAuth mid-session drops causing lengthy hangs. Several mentions praised integrations and specific features, and discussion touched on adding first-class backend support as a positive development, but complaint themes around bugs, missing features, and integration gaps outweighed the praise.

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 features32
Good integrations27
Performance8
Feature requests8
Easy to use4

Most-discussed complaints

Bugs61
Missing features34
Reliability22
UI frustrations15
Feature requests12

Themes across the selected period, with mention counts.

How Honeycomb compares

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

Where the mentions come from

Share of the 171 relevant public mentions in the selected period, by source.

GitHub99% (170)
Hacker News1% (1)

Sample public mentions

Showing 5 of 171 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

[Donation Proposal]: Python Wrapped C++ SDK. ### Description We’ve tested a Python wrapper around the C++ SDK of OpenTelemetry as a way to mitigate some issues we’ve identified around memory allocations and global lock contention in the OTel Python SDK. As a result of our tests, ...

GitHubMay 28, 2026

[Bug] MCP Tool Validation Error: Input should be a valid string. ### What happened? When attempting to load the honeycomb MCP server, HolmesGPT fails to initialize it due to a Pydantic validation error. The specific error message is: What did you expect to happen? I expected Holm...

GitHubApr 6, 2026

Honeycomb pattern still leaving holes in dividers at wall thicknesses above 0.8mm. **Describe the bug** When Honeycomb walls is enabled and Wall Thickness is 0.8mm or lower, the walls are generated smoothly (Screenshot 1), But when wall thickness is any value above 0.8mm, it leav...

GitHubApr 12, 2026

Honeycomb generation issue. **Describe the bug** The new honeycomb update has 2 bugs, that I can see: 1. Blocking out the outerwalls where dividers touch, only does so when "wall cutouts" are enabled (screenshot 1) 2. When "wall cutouts" are enabled, there's a few holes in the di...

GitHubApr 11, 2026

Add execution time telemetry to the run jobs page. # Why are we doing this? We know the run jobs page can be slow and might want to improve its performance later. The first step is to measure and benchmark in more detail. Telemetry in production can provide realistic data after r...

GitHubJun 16, 2026

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

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Deeper analysis

  • Bug reports and reliability concerns dominated discussion and drove the most negative sentiment across the window.
  • Sentiment declined from mid-May into early June then fluctuated without a clear recovery, reflecting an unstable and mostly downward trend.
  • Integrations were the most divisive topic, drawing both the second-highest praise count and significant complaint volume depending on user context.
  • A handful of commenters expressed genuine feature and integration enthusiasm, preventing sentiment from collapsing entirely despite heavy complaint traffic.
Praise themeMentions
Strong features32
Good integrations27
Performance8
Feature requests8
Easy to use4
Complaint themeMentions
Bugs61
Missing features34
Reliability22
UI frustrations15
Feature requests12

Public discussion around Honeycomb over the past four weeks has been shaped primarily by a persistent drumbeat of bug reports and reliability concerns, with those two complaint themes together accounting for the bulk of negative mentions. Commenters flagged issues ranging from session-capture misfires on fresh logins to mid-session tool drops tied to lock errors and multi-hundred-second call hangs, suggesting frustration with stability in real-world usage scenarios. The reliability thread felt particularly charged, with several mentions pointing to problems that interrupted workflows rather than merely inconvenienced them.

The score trajectory tells a notably uneven story. Discussion opened the window at a relatively healthier level in mid-May, then slid into the mid-thirties by early June as complaint volume picked up and reliability talk intensified. A modest bounce followed, but sentiment drifted back downward through late June before a sharp single-mention spike at the very end of the window. Commenters and observers should treat that late spike with caution given the extremely low mention count behind it, which makes it a weak signal rather than a meaningful reversal.

Not all discussion was negative. A meaningful share of mentions carried genuine enthusiasm, particularly around integration capabilities and specific feature praise. Several mentions noted that trace export functionality worked as expected through standard protocol support, and integration-related praise was the second most common positive theme. This created a divided tone in the overall discourse, where technically engaged users seemed more likely to find workable paths while others encountered harder blockers.

Opinion was most divided around integrations specifically. While integration praise ranked highly among positive themes, integration complaints also appeared with notable frequency, suggesting that experiences varied considerably depending on configuration or use case. Documentation gaps surfaced in sample mentions as a compounding frustration, with commenters pointing to outdated guidance that did not reflect current capabilities, which may have amplified confusion around both bugs and missing features.

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)
739
Mentions in selected period
171
Weeks in range
24
vs Coding average (46)
Below by 2
Pricing
Free tier; paid plans available
Sources
GitHub (170), Hacker News (1)

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