Geckoboard vs June
Side-by-side trajectory, velocity, and editorial themes.
Geckoboard polishes chart visualizations and deepens support-ops integrations in steady cadence
Geckoboard is in a polish-and-deepen cycle. Chart visualizations are being refreshed one type at a time — column, bar, and now stacked columns, framed by the team as the first new visualization in several years. Integrations get richer filtering (HubSpot cross-object) and faster live data (Zendesk webhook-based status), and Custom Dashboard Templates targets large organizations that have been rebuilding the same dashboard for dozens of teams.
The product is leaning further into the operational-dashboard use case, especially in support (Zendesk, HubSpot, Aircall). Investments split between scaling administration (templates) and surface polish (chart visualizations). Nothing in the recent stream suggests a category move or platform shift; the shape is of a mature SaaS optimizing for retention and per-account expansion.
Expect the next few releases to continue the chart polish sweep — line charts and pie/donut variants are the obvious unfinished sets — and to roll Custom Dashboard Templates out beyond the initial Zendesk/Aircall/HubSpot trio. A second cross-object filter against Salesforce or another CRM is a plausible follow-up.
June's last visible push was a tight May 2025 B2B sprint — Custom Objects, SQL traits, PostHog integration.
June is product analytics for B2B SaaS, and the only visible release activity in the input is a concentrated four-week sprint in May 2025: SQL computed traits, PostHog as a data source, increased computed-trait limits, and the GA of Custom Objects after a two-month rollout. Each release is paired with small fixes (Slack alerts, HubSpot reverse sync) suggesting a stable maintenance cadence around the headline launches.
The May 2025 batch is internally consistent: every release widens what June can model (Custom Objects), how flexibly customers can compute on it (SQL traits), or how easily it slots into existing data plumbing (PostHog source). All three target the B2B-SaaS persona that wants more than user/account analytics. After this burst the changelog goes quiet in the input — it's not clear from the entries alone whether the product moved to a slower cadence, switched publishing channels, or paused.
The entries don't support a confident prediction about what comes next. If publishing resumes from the same direction, the obvious extensions are deeper integrations with reverse-ETL or warehouse-native sources and richer pre-built health-score templates on top of SQL computed traits.
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