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 Joplin and Readarr — release velocity, themes, recent moves, and the top alternatives to consider.
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Six releases of small fixes and translations, then nothing since June 2025.
Readarr's last six entries run from March to June 2025 and are uniformly small: a truncated root-folder path, remote image links for posters and covers, NLog message templating, disabled SelectInput options, Weblate translation batches. Every entry opens with the same instructions about switching to the develop branch and not updating inside a running Docker container. Nothing in this window adds capability, and no entry has appeared in over a year.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Joplin is repositioning from a sync-agnostic note-taking app into an AI-native knowledge base, differentiated by opt-in, local-first controls. The HMD Terra M preload partnership and the warrant canary point to a deliberate push toward privacy-conscious enterprise and professional users who distrust cloud-first tools. The MCP integration is particularly strategic: it makes Joplin's note graph accessible to external orchestration pipelines without locking into any particular AI provider.
The next major release will likely expand AI chat to multi-note context — currently limited to the open note — and add more configurable MCP tools. The HTR (handwritten text recognition) project from the 2024 French government partnership is also likely to appear in a near-term release.
Readarr's last six entries run from March to June 2025 and are uniformly small: a truncated root-folder path, remote image links for posters and covers, NLog message templating, disabled SelectInput options, Weblate translation batches. Every entry opens with the same instructions about switching to the develop branch and not updating inside a running Docker container. Nothing in this window adds capability, and no entry has appeared in over a year.
The pattern is a project in caretaker mode: auto-generated commit lists, incremental UI corrections, and internal work like using ReflectionOnly types to avoid loading assemblies unnecessarily. Volume held steady at roughly one release every one to two weeks until it stopped entirely. The entries themselves give no reason for the halt.
The changelog offers no signal of resumed development; without new entries there is nothing here to project forward beyond the fact that the feed went quiet after 0.4.18.
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 Joplin or Readarr.
Teable ships Scheduled Routines, a four-tier AI model system, and multi-model image generation — three sparks in five days
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See all Joplin alternatives → · See all Readarr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Joplin is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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. Joplin is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Joplin alternatives in Collab are ranked by recent ship velocity. Browse the "Joplin alternatives" section above for the current picks, or visit /alternatives/joplin for the full list with editorial commentary on each.
Top Readarr alternatives in Collab are ranked by recent ship velocity. Browse the "Readarr alternatives" section above for the current picks, or visit /alternatives/readarr for the full list with editorial commentary on each.