Astral turns your Android phone into an offline research tool that answers quest
Astral is an open-source Android app for researching documents without an internet connection. Import text files or an offline knowledge pack, ask a question, and open the cited passages to check the answer for yourself. For simple definitions, Astral can show a direct quote from a local source; for broader questions, it can draft a cited answer using a language model that runs on the phone. In one Android test, Astral answered “What is photosynthesis?” with a cited quote from a local knowledge pack in 0.313 seconds without running the language model. Generated answers take longer. Astral is a working prototype built with Kotlin, SQLite full-text search, and llama.cpp for local GGUF inference. The sale includes a working APK, a walkthrough of the build and release process, and one handover session. The source code is publicly available under the MIT license. I’m selling Astral because I’m focusing on another offline AI project and would like someone else to build on what’s already working.
Next step: <p>A buyer could make Astral easier to install and set up, then tailor it to a specific audience. For example, a field team could load its own manuals and look up procedures offline, with citations that let staff check the original passages. The buyer could also improve document import, expand the available knowledge packs, and test answer quality and speed across more Android devices.</p>
For sale
Asking price: $500 USD
What's included
Source code, All related design work, Twitter account, Email account
The sale includes a working Android APK, a walkthrough of the build and release process, and one handover session. The source code remains publicly available under the MIT license.
Reason for selling
I’m focusing on another offline AI project and would like to hand Astral over to someone who has time to develop it further.
Project metrics
Average Monthly Revenue: Pre-revenue
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