iSpring
iSpring has moved AI from generating whole courses to sitting inside every text field.
A side-by-side editorial comparison of Kajabi and LifterLMS — release velocity, themes, recent moves, and the top alternatives to consider.
Kajabi is building retention machinery around the community and the checkout.
Recent work clusters in three places. Payments: Instant Payouts, ACH Direct Debit for invoicing at lower processing fees, redesigned upsells and checkout label overrides. Community: a moderation set with a review feed, per-member post approval, hide and lock actions, bulk handling and a full audit log, plus translations covering interface, in-app notifications, email and push across six languages. Retention: cancellation reason tracking, and win-back targeting that filters contacts by previously owned or cancelling offers across campaigns, triggers and branches.
A WordPress LMS that just made its whole REST surface discoverable to AI clients.
LifterLMS spent June on a run of security-only patches — checkout order creation, quiz start, REST authentication, import user creation, each crediting an outside reporter — before shipping 10.1.0, which registers its REST endpoints for courses, sections, lessons, memberships, access plans, students, enrollments and progress as WordPress Abilities API abilities. That release also added wp llms CLI commands for course enrollments and course structure, and shipped a docs/ai-agents.md guide naming Claude Code, Cursor and Codex as intended clients. The 10.1.1 follow-up is bug fixes plus more entropy in generated order keys.
Recent work clusters in three places. Payments: Instant Payouts, ACH Direct Debit for invoicing at lower processing fees, redesigned upsells and checkout label overrides. Community: a moderation set with a review feed, per-member post approval, hide and lock actions, bulk handling and a full audit log, plus translations covering interface, in-app notifications, email and push across six languages. Retention: cancellation reason tracking, and win-back targeting that filters contacts by previously owned or cancelling offers across campaigns, triggers and branches.
The pattern is a platform moving from helping creators sell once to helping them keep members. Cancellation reasons and win-back campaigns are two halves of one loop — record why someone left, then address them as a segment — and the community investment treats the membership rather than the course as the unit being retained. The payments work points at higher-ticket invoiced sales rather than impulse checkout.
With cancellation reasons now collected, the natural next step is acting on them automatically — triggering a retention offer from the reason itself rather than leaving it in a report for someone to read.
LifterLMS spent June on a run of security-only patches — checkout order creation, quiz start, REST authentication, import user creation, each crediting an outside reporter — before shipping 10.1.0, which registers its REST endpoints for courses, sections, lessons, memberships, access plans, students, enrollments and progress as WordPress Abilities API abilities. That release also added wp llms CLI commands for course enrollments and course structure, and shipped a docs/ai-agents.md guide naming Claude Code, Cursor and Codex as intended clients. The 10.1.1 follow-up is bug fixes plus more entropy in generated order keys.
The direction is clear from what got built around the Abilities API integration: not just the registration, but CLI commands that return a whole course structure in one call and a written guide for driving the plugin from an agent. That is a plugin being deliberately shaped for machine operation rather than exposing an API and hoping. Running underneath it is a sustained security pass — the June patches plus the order-key entropy fix — which is the necessary counterpart to opening the surface up.
Expect the AI-agent documentation and CLI commands to expand faster than the web UI, since the recent releases put more new capability behind wp llms and the abilities registry than in the admin.
Other EdTech 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 Kajabi or LifterLMS.
iSpring has moved AI from generating whole courses to sitting inside every text field.
Challenge evaluation is quietly becoming a real feature inside the daily deploy train.
Pear Deck's feed is mostly pointer entries; the AI assessment workflows are the one real thread.
Three straight digests point one way: OpenLearning is building for outcomes-based assessment.
IXL keeps enhancing its diagnostic, analytics, and curriculum breadth on a steady monthly cadence.
A listicle engine that opens on the reader's audit anxiety and never mentions a release.
See all Kajabi alternatives → · See all LifterLMS alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. LifterLMS 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. LifterLMS 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 EdTech products to evaluate alongside.
Top Kajabi alternatives in EdTech are ranked by recent ship velocity. Browse the "Kajabi alternatives" section above for the current picks, or visit /alternatives/kajabi for the full list with editorial commentary on each.
Top LifterLMS alternatives in EdTech are ranked by recent ship velocity. Browse the "LifterLMS alternatives" section above for the current picks, or visit /alternatives/lifterlms for the full list with editorial commentary on each.