Built for professionals who cannot waste their study time

Anchrs exists to help busy technical professionals turn dense material into recall they can actually use.

Anchrs helps busy technical professionals retain what they study with spaced repetition, on-device memory scheduling, and AI tools that use credits only when you need them.

Proof you can trust

Anchrs is built for people learning dense material under real-world time pressure.

2,130+

Learners

1,106+

Materials processed

19,068+

Questions & flashcards

Web, iPhone, iPad, Mac

Platforms supported

What we optimize for

A cleaner study loop, clearer pricing, and product claims that match the experience people actually get.

Respect real schedules

Anchrs is designed for people squeezing review sessions around work, interviews, certifications, and family life.

Make review repeatable

Anchrs uses spaced repetition to schedule reviews instead of static due dates. Anchrs supports both Adaptive and FSRS so review timing stays useful instead of brittle.

Charge for the expensive part only

Anchrs is free to download and uses credits for cloud AI work, with clear packs and a Pro subscription instead of conflicting platform-based pricing.

What people can count on

Import Anki decks without rebuilding your study history by hand.
Use Anchrs Adaptive or FSRS spaced repetition, with Adaptive as the default for new users.
Study on Apple devices and web while keeping decks and progress in sync where supported.
Study data syncs across Apple devices through iCloud. Credits are not currently shown as one shared balance across web, iPhone, iPad, and Mac.
Credits do not expire.
TP

Torrey Payne

Founder & CEO

"I built Anchrs because I was studying for software engineering interviews after full workdays and forgetting too much of what I had already put time into."

Anchrs started as a way to turn notes and source material into review sessions that actually fit into an adult schedule. The goal was never to add more dashboard surface area. It was to make the time you already spend studying translate into recall.

That is why the product now centers on spaced repetition, imports, and pricing that only charges for cloud AI work instead of hiding the cost model behind platform-specific claims.

Have questions or feedback?

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