HavaHR
HavaHR ships a one-step MCP install, putting Malaysia payroll data inside any AI agent.
Comparison · HR
Ever Gauzy vs Spark Hire
A side-by-side editorial comparison of Ever Gauzy and Spark Hire — release velocity, themes, recent moves, and the top alternatives to consider.
Ever Gauzy vs Spark Hire: at a glance
| Feature | Ever Gauzy | Spark Hire |
|---|---|---|
| Sector | HR | HR |
| Velocity score | 10.0 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | hrm, open-source, payroll, leave-management | recruiting, video-interviewing, ai-evaluation, careers-site |
| Last editorial update | 8h ago | 14d ago |
| Website | Visit → | — |
What is Ever Gauzy?
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
Ever Gauzy is running a high-frequency patch cycle—multiple releases per day—addressing UI polish, bug fixes, and minor UX improvements. The v111.42.0 registration improvement (prefilling names from Stripe to avoid clobbering collected data) is the week's only user-visible feature in the top releases. Beneath the patch cadence, v111.41.7 and v111.41.6 shipped a full Payroll module and a Leave Management module respectively, which are the real markers of what this cycle is actually building.
What is Spark Hire?
Spark Hire is wiring the job description into every AI judgement it makes about a candidate
Spark Hire runs interviewing and recruiting across two products, Meet and Recruit, and has been shipping steadily through August. The AI work is the centre of gravity: an AI Notetaker, suggested interview question sets, and AI Video Review now rating candidates against the job description and scorecard with visible rationale. Around it sits pipeline hygiene — duplicate application handling, lead pipeline movement, a unified navigation that folds Assessments and AI under Settings — and now configurable application forms.
Ever Gauzy vs Spark Hire: editorial side-by-side
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
◆ Current state
Ever Gauzy is running a high-frequency patch cycle—multiple releases per day—addressing UI polish, bug fixes, and minor UX improvements. The v111.42.0 registration improvement (prefilling names from Stripe to avoid clobbering collected data) is the week's only user-visible feature in the top releases. Beneath the patch cadence, v111.41.7 and v111.41.6 shipped a full Payroll module and a Leave Management module respectively, which are the real markers of what this cycle is actually building.
◆ Where it's heading
Ever Gauzy is building out a complete open-source HRM suite, layering payroll and leave management onto its existing time tracking and project management core. The module-level additions (PayrollRun, PayrollItem, Time Off Policies, Official Holidays, Balance Tracking) suggest a deliberate effort to reach feature parity with enterprise HRM systems like BambooHR or Gusto at the open-source tier.
◆ Prediction
Ever Gauzy will continue module-level feature additions at the same pace—expenses, benefits, and performance appraisals are the natural next targets given the current HRM build-out trajectory.
Spark Hire is wiring the job description into every AI judgement it makes about a candidate
◆ Current state
Spark Hire runs interviewing and recruiting across two products, Meet and Recruit, and has been shipping steadily through August. The AI work is the centre of gravity: an AI Notetaker, suggested interview question sets, and AI Video Review now rating candidates against the job description and scorecard with visible rationale. Around it sits pipeline hygiene — duplicate application handling, lead pipeline movement, a unified navigation that folds Assessments and AI under Settings — and now configurable application forms.
◆ Where it's heading
The pattern is consistent: take a judgement a recruiter makes by hand and give the model the same context the recruiter has, then show its reasoning rather than just its score. Ratings derive from the job description when no scorecard exists, and every rated factor expands to the evidence behind it. The non-AI releases are mostly about controlling what enters the funnel — customisable forms for candidates, referrers and internal applicants, duplicate suppression, careers-site configuration without code. Both threads point at reducing the volume a human has to read.
◆ Prediction
Application form fields and AI evaluation are converging on the same data, so expect the collected form answers to start feeding candidate ratings directly rather than being reviewed separately.
Alternatives to Ever Gauzy and Spark Hire
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 Ever Gauzy or Spark Hire.
TriNet
TriNet is automating HR data flows with steady integration additions — Salesforce, Voya, and Slack — reducing manual updates for SMB customers.
Ashby
Ashby adds native WhatsApp messaging as its recruiting communication stack goes omnichannel.
Tanda
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
Teamtailor
Teamtailor's Co-pilot is quietly automating the full recruiting pipeline, one trigger at a time.
Lever
Lever leans into AI recruiting features while its changelog reads more like a blog feed than a release log.
See all Ever Gauzy alternatives → · See all Spark Hire alternatives →
Recent activity from Ever Gauzy and Spark Hire
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20h agoEver Gauzyv111.42.1
- 20h agoEver Gauzyv111.42.0
- 23h agoEver Gauzyv111.41.13
- 1d agoEver Gauzyv111.41.12
- 1d agoEver Gauzyv111.41.11
- 2d agoEver Gauzyv111.41.10
- 15d agoSpark HireCustomize your application form to fit your hiring needs
- 1mo agoSpark HireUnified navigation
- 1mo agoSpark HirePrioritize candidates with role-aligned AI ratings and takeaways
- 1mo agoSpark HireKeep your lead pipeline moving
- 1mo agoSpark HireSpend less time reviewing duplicate applications
- 1mo agoSpark HireAI Notetaker ⚡
Frequently asked questions
What is the difference between Ever Gauzy and Spark Hire?
They serve adjacent needs but don't currently overlap on shipped themes. Ever Gauzy is currently shipping more aggressively (velocity 10.0 vs 6.3), 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.
Is Ever Gauzy better than Spark Hire?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ever Gauzy is currently shipping more aggressively (velocity 10.0 vs 6.3), 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.
What are the best alternatives to Ever Gauzy?
Top Ever Gauzy alternatives in HR are ranked by recent ship velocity. Browse the "Ever Gauzy alternatives" section above for the current picks, or visit /alternatives/ever-gauzy for the full list with editorial commentary on each.
What are the best alternatives to Spark Hire?
Top Spark Hire alternatives in HR are ranked by recent ship velocity. Browse the "Spark Hire alternatives" section above for the current picks, or visit /alternatives/spark-hire for the full list with editorial commentary on each.