Ever Gauzy
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
A side-by-side editorial comparison of Jorani and Ashby — release velocity, themes, recent moves, and the top alternatives to consider.
A dormant leave-management app returns with an MIT relicense and a hard break from its own API
Jorani is a self-hosted leave and overtime management app built on legacy CodeIgniter PHP. After a three-year gap, v1.0.4 arrives labelled a maintenance release but is anything but conservative: it relicenses from AGPL to MIT, moves the repository to a new organization, and deletes the Basic Auth REST API, the client-side password encryption layer and MySQL 5.7 support. The database schema is untouched, so the disruption is entirely in licensing, packaging and interfaces rather than data.
Ashby adds native WhatsApp messaging as its recruiting communication stack goes omnichannel.
Ashby is a modern ATS consolidating scheduling intelligence and AI-assisted interviewing into a single platform. The WhatsApp integration is its most directional recent move: candidates in most of the world prefer WhatsApp to email, and building it natively—with templates, automated reminders, and full conversation history—closes a real gap. The platform is also adding enterprise governance scaffolding: document libraries, retention controls for AI Notetaker, and reapproval workflows signal a push into compliance-sensitive accounts.
Jorani is a self-hosted leave and overtime management app built on legacy CodeIgniter PHP. After a three-year gap, v1.0.4 arrives labelled a maintenance release but is anything but conservative: it relicenses from AGPL to MIT, moves the repository to a new organization, and deletes the Basic Auth REST API, the client-side password encryption layer and MySQL 5.7 support. The database schema is untouched, so the disruption is entirely in licensing, packaging and interfaces rather than data.
The long arc is a small project shedding weight. Releases through 2017 filled in the workflow model — cancellation states, SSO, mandatory rejection comments, a steady stream of translations. Version 1.0.0 in 2020 rebuilt the leave-balance engine and documented an OpenAPI surface, and the two releases since have been almost entirely security and PHP-version compatibility. v1.0.4 continues by removing rather than adding, including the very API 1.0.0 had documented, and folds the old tree under a legacy/ directory — which reads as groundwork for a replacement rather than a destination.
The legacy/ layout and the withdrawn REST API point to a new API and a non-legacy codebase as the next move; the entries don't indicate on what stack, or when.
Ashby is a modern ATS consolidating scheduling intelligence and AI-assisted interviewing into a single platform. The WhatsApp integration is its most directional recent move: candidates in most of the world prefer WhatsApp to email, and building it natively—with templates, automated reminders, and full conversation history—closes a real gap. The platform is also adding enterprise governance scaffolding: document libraries, retention controls for AI Notetaker, and reapproval workflows signal a push into compliance-sensitive accounts.
Two tracks are compounding: AI-enhanced interviewing (AI Notetaker getting sharing, retention rules, and likely more structured outputs) and operationally tight scheduling (panel room booking, unavailability UI). WhatsApp opens a third track—omnichannel candidate communication—that could extend to scheduling confirmations and automated outreach. The governance additions suggest Ashby is targeting larger enterprise deals that require auditability before committing to an ATS.
Ashby will extend WhatsApp to automated scheduling confirmations and two-way template flows. Expect AI Notetaker to move from recording/sharing toward structured post-interview outputs—scoring, follow-up drafts, or scorecard pre-fills derived from transcript content.
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 Jorani or Ashby.
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
HavaHR ships a one-step MCP install, putting Malaysia payroll data inside any AI agent.
TriNet is automating HR data flows with steady integration additions — Salesforce, Voya, and Slack — reducing manual updates for SMB customers.
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
Teamtailor's Co-pilot is quietly automating the full recruiting pipeline, one trigger at a time.
Lever leans into AI recruiting features while its changelog reads more like a blog feed than a release log.
See all Jorani alternatives → · See all Ashby 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 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. Ashby 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 HR products to evaluate alongside.
Top Jorani alternatives in HR are ranked by recent ship velocity. Browse the "Jorani alternatives" section above for the current picks, or visit /alternatives/jorani for the full list with editorial commentary on each.
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.