Ever Gauzy
Ever Gauzy follows account deletion with nine same-day patches carrying project archiving.
A side-by-side editorial comparison of Ashby and Lattice — release velocity, themes, recent moves, and the top alternatives to consider.
Ashby summarizes a candidate's history with citations inside its Chrome sourcing extension.
Ashby's recent releases split between governance controls and AI help for recruiters. In the last week it added Audit Logs, org-wide AI Notetaker settings, configurable data-retention triggers and private-by-default internal interview invites. On the AI side, the Chrome extension now summarizes a candidate's past applications, interviews and outreach, with links to the source records.
Lattice built an AI agent worth visiting, then handed its data to everyone else's.
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
Ashby's recent releases split between governance controls and AI help for recruiters. In the last week it added Audit Logs, org-wide AI Notetaker settings, configurable data-retention triggers and private-by-default internal interview invites. On the AI side, the Chrome extension now summarizes a candidate's past applications, interviews and outreach, with links to the source records.
Admin controls keep arriving at a steady clip, which points to Ashby selling harder into larger, compliance-minded recruiting teams. Its AI features are being placed inside existing workflows, such as notes, sourcing and history, and cite their sources rather than standing alone.
Expect more admin-level defaults and policy settings for AI features, following the org-wide Notetaker controls and retention configuration.
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
The interesting move is that Lattice stopped assuming it wins by being the app you open. June made the Agent a destination; July made Lattice reachable from Claude, ChatGPT, and Slack instead, which is a bet that being the HR data layer beats owning the chat surface. Review drafts show what that data layer is being accumulated for: the meeting capture, feedback, and goals the Agent has been collecting are now the raw material for the review itself, with citations as the trust mechanism. Compensation is on a slower and more procedural track, closing loops — sending recommendations back for revision, exporting with HRIS IDs attached — rather than adding AI.
Expect the review-drafting work and the MCP surface to converge, so a manager can draft an evidence-cited review from Claude or Slack without opening Lattice. Whether compensation gets the same treatment is genuinely unclear from these entries — that area is still being hardened procedurally, and approval chains carry consequences that make an AI draft a harder sell.
Other HR 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 Ashby or Lattice.
Ever Gauzy follows account deletion with nine same-day patches carrying project archiving.
Frappe HR spends October tightening permissions and payroll edge cases on both v15 and v16.
Teamtailor adds multi-value and country filters to requisitions after a week of division settings.
Employment Hero's feed stays on career and wellbeing advice after its 2026 product recap.
Tanda locks bank-detail edits to payroll staff and seals payslips against tampering.
TriNet HR Plus adds a John Hancock 401(k) feed, its second retirement provider link.
See all Ashby alternatives → · See all Lattice alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Ashby is currently shipping more aggressively (velocity 5.0 vs 0.0), 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. Ashby is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other HR products to evaluate alongside.
Top Ashby alternatives in HR are ranked by recent ship velocity. Browse the "Ashby alternatives" section above for the current picks, or visit /alternatives/ashby for the full list with editorial commentary on each.
Top Lattice alternatives in HR are ranked by recent ship velocity. Browse the "Lattice alternatives" section above for the current picks, or visit /alternatives/lattice for the full list with editorial commentary on each.