Tracecat
Tracecat 1.0 stable lands with workspace entitlements, SSRF hardening, and an open-source MCP skills catalog
A side-by-side editorial comparison of Fibery and Resource Guru — release velocity, themes, recent moves, and the top alternatives to consider.
Fibery's Custom Apps go GA, completing its turn from work tracker to embedded app platform
Fibery spent the past quarter building and shipping Custom Apps — AI-generated mini-apps buildable inside the platform via Claude, ChatGPT, or MCP. Custom Apps launched publicly in mid-August after two months of experimental iteration. In the same period, Fibery added AI-driven automation creation, a usage dashboard tracking AI and integration consumption, and expanded MCP coverage to rich text editing and direct Custom Apps authoring. The platform is shipping weekly with a mix of headliner features and steady bug fixing.
Resource Guru is turning the schedule from a canvas you arrange into a system that resolves itself.
The feed mixes SEO articles with genuine product notes, and the product notes have been unusually consequential this quarter. Total Hours bookings let a user commit a number of hours across a date range and have the scheduler fit them around existing work. An MCP server exposes account data to AI clients through plain-language prompts. Around those, a run of smaller controls landed: custom-field colour coding on the Schedule, a configurable Projects view, a daily digest of placeholder bookings, and a Trello integration.
Fibery spent the past quarter building and shipping Custom Apps — AI-generated mini-apps buildable inside the platform via Claude, ChatGPT, or MCP. Custom Apps launched publicly in mid-August after two months of experimental iteration. In the same period, Fibery added AI-driven automation creation, a usage dashboard tracking AI and integration consumption, and expanded MCP coverage to rich text editing and direct Custom Apps authoring. The platform is shipping weekly with a mix of headliner features and steady bug fixing.
Fibery is repositioning from a flexible project tracker into a platform where teams build custom tooling on top of their own data, without leaving the workspace. The Custom Apps launch — AI-generated, embeddable in documents, now on a versioned platform — is the clearest statement of that direction. MCP integration at multiple layers (rich text, apps, automations) shows Fibery making itself a first-class target in AI-native workflows rather than bolting on a chat widget.
The next likely move is tying Custom Apps directly into Fibery's automation engine — AI-built apps that trigger and respond to automations — which would close the loop between the platform's two main new capability axes. The breaking platform update to Custom Apps in September signals further architectural changes are coming before the feature stabilizes.
The feed mixes SEO articles with genuine product notes, and the product notes have been unusually consequential this quarter. Total Hours bookings let a user commit a number of hours across a date range and have the scheduler fit them around existing work. An MCP server exposes account data to AI clients through plain-language prompts. Around those, a run of smaller controls landed: custom-field colour coding on the Schedule, a configurable Projects view, a daily digest of placeholder bookings, and a Trello integration.
Two moves define the direction. Total Hours changes what a booking is — an amount of work to be placed rather than a block a human placed — which points the product at constraint solving rather than manual arrangement. The MCP server makes the same schedule queryable by assistants instead of only viewable in the UI. The smaller features are consistent with both: placeholders, custom fields, and colour rules are all ways of encoding intent that a solver or an assistant can act on.
Expect the auto-fitting behaviour introduced by Total Hours to extend to placeholders and to rescheduling after a conflict, since those are the cases where a declared total is most obviously better than a fixed block.
Other PM 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 Fibery or Resource Guru.
Tracecat 1.0 stable lands with workspace entitlements, SSRF hardening, and an open-source MCP skills catalog
NocoBase adds an AI knowledge base retrieval API, connecting no-code workflows to external knowledge sources.
RentRedi embeds AI into its maintenance workflow end-to-end, handling tenant intake and drafting landlord replies.
Camunda 8.10 alpha cycles through broad platform bug fixes while 8.7 gets routine security patches
Asana embeds AI into Slack threads and closes the rich-text gap with Notion
Rize pivots from solo time tracker to agency operations platform with invoicing, profitability reporting, and a ChatGPT integration.
See all Fibery alternatives → · See all Resource Guru alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within PM. Resource Guru is currently shipping more aggressively (velocity 7.5 vs 6.3), with 0 editorial sparks in the last 30 days against 0. 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. Resource Guru is currently shipping more aggressively (velocity 7.5 vs 6.3), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other PM products to evaluate alongside.
Top Fibery alternatives in PM are ranked by recent ship velocity. Browse the "Fibery alternatives" section above for the current picks, or visit /alternatives/fibery for the full list with editorial commentary on each.
Top Resource Guru alternatives in PM are ranked by recent ship velocity. Browse the "Resource Guru alternatives" section above for the current picks, or visit /alternatives/resource-guru for the full list with editorial commentary on each.