Anchor Learning

Android Private Alpha

Anchor Learning

Turn technical documentation and code into source-grounded practice, Agent tutoring, and interview preparation. Every explanation stays connected to the evidence that supports it.

  • Android Private Alpha
  • Local-first SQLite
  • Source-grounded
  • Open source
Try the demo Download Android APK View source

The browser demo is a static product sample. It uses bundled data and makes no AI requests.

The native product

A source-bound workflow on Android

The Private Alpha connects imported technical sources to a local learning Agent, evidence-aware interview practice, and on-device data controls.

Start from inspectable evidence

The Agent sets a learning target from imported documentation or code and previews the exact source chunk before the session begins.

01
Anchor Learning Android Agent session showing a learning target and source evidence preview
Android Private Alpha

Practice in interview mode

Interview questions stay tied to project evidence and a defined learning target, with room to explain tradeoffs in your own words.

02
Anchor Learning Android interview mode showing a source-bound technical question
Android Private Alpha

Keep data under local control

Learning data and product events stay on device. Backups can be exported and restored, while credentials and model configuration remain excluded.

03
Anchor Learning Android local data and privacy controls with backup and restore actions
Android Private Alpha

Captured on a physical Android device from the current Private Alpha. Download the signed Arm64 APK from the GitHub release.

From source to review

A learning loop you can inspect

Anchor keeps ingestion, generation, verification, and review as separate steps so weak evidence can stop before it becomes study material.

  1. 01

    Import

    Bring in Markdown, technical notes, or code while preserving headings and structural boundaries.

  2. 02

    Generate

    Extract concepts and create varied exercises from bounded source chunks.

  3. 03

    Verify

    Check that cited chunks exist and that answers are supported before review.

  4. 04

    Learn

    Practice with source excerpts, guided hints, and spaced follow-up.

Grounding by construction

Three checks between a source and a question

The system treats generated content as a proposal. Structure, citation, and answer support are checked independently before the material is considered ready.

01

Semantic chunking

Split at meaningful document or code boundaries and retain a stable locator.

02

Citation verification

Reject references to missing chunks and keep the cited excerpt visible.

03

Answer validation

Confirm that the proposed answer follows from the cited material; send uncertainty to review.

Browser demo

Finish a complete source-traced quiz

Choose Flutter, Git, or JavaScript. Submit an answer, inspect the supporting excerpt, ask for a scripted tutor hint, and keep your progress in this browser.

  • Three bundled datasets and twelve exercises
  • Single choice, multiple choice, and true/false
  • No account, upload, backend, or AI call; Cloudflare Web Analytics measures page performance
Launch demo
Anchor Learning browser demo showing a quiz and source citation
The demo is a guided product sample, not the full Flutter application.

Designed for technical learning

Use your own sources as the curriculum

Developers

Convert framework documentation and code into deliberate practice.

Engineering teams

Turn architecture notes into an inspectable onboarding path.

Interview preparation

Practice from system-design notes and implementation decisions instead of generic prompts.

Start with evidence

See how traceable practice feels

Try the demo