Plain
Plain built an autonomous support agent, and has now built the controls to trust it.
A side-by-side editorial comparison of Canny and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Canny | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 7.5 | 6.3 |
| Sparks · 30d | 2 | 1 |
| Top themes | feedback-capture, autopilot, slack, conversational-agent | msp-channel, phone-agents, model-selector, multi-tenant-admin |
| Last editorial update | 5d ago | 4d ago |
| Website | — | — |
Canny keeps moving feedback capture out of Canny — now it answers to a mention in Slack
Canny's releases converge on one thing: getting feedback into the system without anyone opening the product. Autopilot now ingests external calls through Fireflies, Fathom and Grain, links them to Salesforce and HubSpot opportunities, and dedupes into existing ideas. The August 13 release replaces the Slack slash commands with an @Canny mention that captures feedback from any thread in plain language, creates ideas, insights, users and companies, and edits fields. Alongside that, the platform work is administrative: view sharing with access levels, Linear project links, and the reporting rebuild that ties ideas to revenue.
Hatz sells through MSPs, and its roadmap has started to serve the partner more than the end user
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Canny's releases converge on one thing: getting feedback into the system without anyone opening the product. Autopilot now ingests external calls through Fireflies, Fathom and Grain, links them to Salesforce and HubSpot opportunities, and dedupes into existing ideas. The August 13 release replaces the Slack slash commands with an @Canny mention that captures feedback from any thread in plain language, creates ideas, insights, users and companies, and edits fields. Alongside that, the platform work is administrative: view sharing with access levels, Linear project links, and the reporting rebuild that ties ideas to revenue.
The product is separating capture from the tool. Every recent release either adds a place feedback can arrive from or removes a step between hearing something and it being recorded, with Autopilot doing the deduping in the middle. The reporting rebuild is the other half of the same argument — capture everything, then price it in renewal and pipeline revenue rather than votes. What is left thin is anything that changes how teams decide once the data is in.
Expect more capture surfaces on the same pattern — additional meeting and support tools feeding Autopilot, and the Slack agent gaining the read and reporting actions it currently lacks.
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Two arcs run in parallel. The phone agent is being hardened into a product an MSP can deploy repeatedly across client sites — duplicate it onto a new number, reassign it to a different tenant, cap its minutes — while Activate supplies the partner with the shadow-AI scan and enablement material that starts the sales conversation. Model additions continue but carry no direction; they are table stakes restated every few weeks.
Expect more tenant- and partner-scoped administration, since renaming tenants and invoicing over the API both landed this window and point at MSPs managing many clients programmatically. The phone agent's usage-based pricing suggests metering and limits will keep expanding ahead of any new end-user capability.
Other Support products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Canny or Hatz AI.
Plain built an autonomous support agent, and has now built the controls to trust it.
Sleekplan rebuilt itself around AI triage, then put the feedback board inside ChatGPT.
Comm100 publishes steadily about AI support — none of it is Comm100 shipping anything.
respond.io is layering an agent-authoring copilot and consumption billing on top of its omnichannel inbox.
A teaser-only content feed making one argument: AI in the contact center fails on knowledge, not models.
A steady SEO blog on SMS basics, with the occasional ecommerce integration walkthrough.
See all Canny alternatives → · See all Hatz AI alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Canny is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Canny is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top Canny alternatives in Support are ranked by recent ship velocity. Browse the "Canny alternatives" section above for the current picks, or visit /alternatives/canny for the full list with editorial commentary on each.
Top Hatz AI alternatives in Support are ranked by recent ship velocity. Browse the "Hatz AI alternatives" section above for the current picks, or visit /alternatives/hatz-ai for the full list with editorial commentary on each.