Teable
Teable ships Scheduled Routines, a four-tier AI model system, and multi-model image generation — three sparks in five days
A side-by-side editorial comparison of Jellyfin and Softr — release velocity, themes, recent moves, and the top alternatives to consider.
Seven candidates in, 12.0 is still trading features for correctness in the metadata layer.
RC7 continues the pattern the 12.0 train set: twelve changes, nearly all in the library and metadata layer, and none adding surface. The substantive ones tighten access control — search candidates are now filtered by user access in a single query, and permissions are enforced on similar-items lookups — alongside episode and season counting fixes for virtual items, anime provider IDs on season folders, and progress logging for data migrations. The release still restates the versioning change introduced at RC1, where the leading 10. was dropped so 10.11.x becomes 12.x, and still requires 10.10.7 or 10.11.x as an upgrade floor.
Softr ships MCP and embedded agents, making no-code apps AI-orchestratable
Softr has added two substantial capability layers in rapid succession: autonomous agents embedded directly into user apps (August 26), and full MCP integration that makes every platform surface controllable via Claude, ChatGPT, or any MCP-compatible client (September 6–8). Both ship on all plans with no additional AI credits required. The platform still centers on visual no-code building, but these moves position it as infrastructure for AI-driven workflows rather than a pure visual builder.
RC7 continues the pattern the 12.0 train set: twelve changes, nearly all in the library and metadata layer, and none adding surface. The substantive ones tighten access control — search candidates are now filtered by user access in a single query, and permissions are enforced on similar-items lookups — alongside episode and season counting fixes for virtual items, anime provider IDs on season folders, and progress logging for data migrations. The release still restates the versioning change introduced at RC1, where the leading 10. was dropped so 10.11.x becomes 12.x, and still requires 10.10.7 or 10.11.x as an upgrade floor.
The stated goal of 12.0 has been to polish the backend rewrite that shipped in 10.11.0, and seven candidates in, that is still what the changes are. What has shifted subtly across RC5 to RC7 is the kind of correction: earlier rounds were query-cost work such as SQLite caching and batched lookups, while RC7 pairs performance with access enforcement, folding permission checks into the same queries rather than filtering afterwards. That combination usually appears when a rewrite is being audited rather than extended.
The change count per candidate is falling and the remaining work is concentrated in one contributor's metadata fixes, which points to 12.0 going final rather than to an RC8 carrying anything new. Nothing in this feed indicates when.
Softr has added two substantial capability layers in rapid succession: autonomous agents embedded directly into user apps (August 26), and full MCP integration that makes every platform surface controllable via Claude, ChatGPT, or any MCP-compatible client (September 6–8). Both ship on all plans with no additional AI credits required. The platform still centers on visual no-code building, but these moves position it as infrastructure for AI-driven workflows rather than a pure visual builder.
Softr is converging on a model where apps built on its platform are simultaneously human-navigable and machine-orchestratable. The MCP rollout — announced as a multi-day series of drops — indicates they are treating AI interoperability as a primary product surface, not a feature add-on. The logical extension is multi-step agentic chains that span data sources and scheduled workflows, which their August agent launch already scaffolds.
Softr will likely expand scheduled agents into more complex multi-step automation chains, and extend MCP coverage to user-management and permission APIs. The remaining MCP drops telegraphed for the week of September 6 will reveal how far they are willing to expose internal platform primitives to external AI orchestration.
Other Collab 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 Jellyfin or Softr.
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See all Jellyfin alternatives → · See all Softr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Softr is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 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. Softr is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
Top Jellyfin alternatives in Collab are ranked by recent ship velocity. Browse the "Jellyfin alternatives" section above for the current picks, or visit /alternatives/jellyfin for the full list with editorial commentary on each.
Top Softr alternatives in Collab are ranked by recent ship velocity. Browse the "Softr alternatives" section above for the current picks, or visit /alternatives/softr for the full list with editorial commentary on each.