I've been running Asknes (an AI study assistant β multi-LLM chat with document Q&A, source citations, flashcards, quizzes, and spaced repetition) solo for a while now, and I just packaged the entire codebase as a sellable SaaS boilerplate for other builders.
What's inside:
Multi-LLM setup (Groq, Gemini, Claude) with automatic failover
RAG-based chat with real source citations, not hallucinated answers
OCR fallback for scanned/image-based PDFs
Supabase auth + database, Stripe billing wired in
PWA support out of the box
It's the exact production codebase behind the live app at asknes.com, cleaned up and documented for reuse.
Grabbed it here if you want to skip months of setup and start from a working SaaS: https://tudora5.gumroad.com/l/asknes?wanted=true
Happy to answer any questions about the stack or the build.
Super solid build! Tested it with a few complex PDFs and the OCR fallback + LLM responses worked flawlessly. You can tell a lot of thought went into the underlying architecture. Really impressive SaaS product
Thanks a lot for the support and feedback! Really appreciate you taking the time to test it out. Glad to hear the workflow and PDF processing worked smoothly for you
The fact that this is the production code behind a live app is probably the strongest selling point.
Curious whether buyers are mainly paying to skip the initial implementation work, or because starting from a codebase youβve already validated removes the risk of stitching all those pieces together themselves.
Spot on. Thanks for dropping by and sharing your thoughts, Aryan! Let me know if you ever decide to take a look under the hood
Thatβs fair. Iβll keep it in mind if I decide to look under the hood.
Thank you !
I just bought this today and I really enjoy it. It helped me with managing my time and my tasks a lot better. Even if I haven t used this for a long time I can tell that it will be a huge help for me.
Thank you for buying and taking the time to share this! Hearing that itβs helping you stay organized right away means a lot. If you encounter anything you'd like to see improved as you use it more, I'd love to hear your thoughts