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Evaluation content dominates a feed whose real move was handing agents the admin panel
A side-by-side editorial comparison of Recall and Lindy — release velocity, themes, recent moves, and the top alternatives to consider.
Handwriting and screenshots become searchable cards, and the extension reaches Safari
Recall's August release is the broadest in months. OCR turns photos, screenshots and handwritten notes into real cards; the browser extension now runs on Safari and Edge alongside Chrome and Firefox, with connection editing inside the extension; chat proposes questions drawn from the saved library; and content can be added ten URLs at a time or by drag and drop. This follows a July that moved search into the full library page with text and AI modes searching reader content, notes and quizzes rather than titles.
Lindy bets the whole product on the 'AI employee' — agent builder, computer-use autopilot, and an app builder.
Lindy is an AI-agent platform pursuing an explicit 'AI employee' thesis: agents you direct in natural language that can act across your tools. The last two major releases pushed hard on that — Lindy 3.0 reframed agent creation as vibe-coding and added an Autopilot that gives each agent its own cloud computer, and Lindy Build extended the platform into AI web-app creation. More recent entries are workflow quality-of-life (retries, task search, sharing, version renaming) layered on top of that foundation. Note the surfaced feed appears to stop in late 2025, so newer moves aren't visible here.
Recall's August release is the broadest in months. OCR turns photos, screenshots and handwritten notes into real cards; the browser extension now runs on Safari and Edge alongside Chrome and Firefox, with connection editing inside the extension; chat proposes questions drawn from the saved library; and content can be added ten URLs at a time or by drag and drop. This follows a July that moved search into the full library page with text and AI modes searching reader content, notes and quizzes rather than titles.
Two threads have been converging all summer. One widens what can enter the library — social posts, Apple News, text and Markdown files, and now anything a camera can photograph. The other makes what is already inside retrievable: full-content search, personas, cross-card chat, and now suggested questions. OCR closes the last major gap on the input side, since paper was the one source that could not get in.
The mobile search overhaul is explicitly promised and is the most likely next release. Suggested questions plus full-content search point toward retrieval quality inside chat becoming the next area of investment.
Lindy is an AI-agent platform pursuing an explicit 'AI employee' thesis: agents you direct in natural language that can act across your tools. The last two major releases pushed hard on that — Lindy 3.0 reframed agent creation as vibe-coding and added an Autopilot that gives each agent its own cloud computer, and Lindy Build extended the platform into AI web-app creation. More recent entries are workflow quality-of-life (retries, task search, sharing, version renaming) layered on top of that foundation. Note the surfaced feed appears to stop in late 2025, so newer moves aren't visible here.
The direction is unambiguous from these entries: broaden what an agent can autonomously do (computer-use Autopilot to reach legacy systems and tools APIs can't), lower the skill floor to build one (natural-language agent building), and make agents a shared org asset (team accounts). Integration breadth — 500+ actions via Pipedream, model choices across o3 and Gemini — is the connective tissue underneath.
The observable pattern points to deeper autonomy: more reliable Autopilot/computer-use and tighter agent-monitoring so teams can trust agents to run unattended. Because the visible feed ends in 2025, it's unclear what has shipped since — that's the main gap.
Other ai-assistants 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 Recall or Lindy.
Evaluation content dominates a feed whose real move was handing agents the admin panel
A release train of small runtime wins between model drops
ClearML is filling in the hyperdataset lifecycle while hardening the SDK against what it loads.
Baseten is selling to the labs that build models, not just the developers who call them.
Between a BTS tie-in and free student plans, Gemini quietly moves into a Waymo
Perplexity is selling access to other people's models, and now repricing them weekly.
See all Recall alternatives → · See all Lindy alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Recall 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. Recall 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 ai-assistants products to evaluate alongside.
Top Recall alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Recall alternatives" section above for the current picks, or visit /alternatives/getrecall for the full list with editorial commentary on each.
Top Lindy alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Lindy alternatives" section above for the current picks, or visit /alternatives/lindy for the full list with editorial commentary on each.