Hi HN,

I’m a solo dev, and after a first push amongst some close friends, I’m finally sharing Folion (https://www.folionapp.com).

I built this because I struggle with what I call digital hoarding. My folders are full of files like final_v2_edit.docx and draft_2024_backup.pdf. Tools like Everything are great if I remember the filename, but I usually only remember the concept of what was inside.

The Tech & Privacy: Folion indexes your folders locally using a vector store on your machine. I’ve added a RAG-based search engine that operates locally and an LLM layer via AWS Bedrock so you can chat with your files. Your index and embeddings never leave your device; only the specific snippets retrieved for a query are sent to the LLM for response generation.

Quick 30-second trailer: https://www.youtube.com/watch?v=94puRu4GMKg (Full 14-min demo on the website).

Being Realistic About Limitations: Since this is a solo project, I want to be upfront about what it is and isn't:

It’s a Precision Tool: For the best results, I recommend pointing it at specific project folders. While you can use the isolated file search on any number of files (with RAM considerations for huge folders), narrowing the scope for chatting significantly improves accuracy.

Context Limits: It pulls ~4k–6k tokens of context. It’s great for summarizing/comparing small to medium bits of information or finding specific facts, but it’s not (yet) for comparing fifty 100-page documents at once.

RAG & Context Boundaries: Folion uses a sophisticated hybrid search to pull relevant context, but because large files are processed in segments (chunks), the LLM can occasionally lose the relation between distant pages or sections. While the metadata always tracks the source file, the chat interface is best used as a high-speed assistant to point you to the right place or synthesize ideas, rather than a 100% autonomous replacement for a manual check of critical data.

The Windows "Unknown Publisher" Warning: Since Folion is new and I’m an unlisted publisher, you will likely see a SmartScreen warning. I’ve submitted the build to Microsoft for manual analysis, but until that clears, the warning is unfortunately here to stay.

For transparency, here is the VirusTotal scan (2 flags from ML engines Arctic Wolf/Trapmine, but Microsoft's own engine cleared it): https://www.virustotal.com/gui/file/eeaf41768daeca794b361b21...

Why the Subscription? Because I’m billed for LLM usage per token, I’ve gone with a monthly model ($7.99+) to keep the project sustainable. I’ve included a 14-day free trial (no credit card required) with enough tokens for ~20 chats so you can see if it fits your workflow first.

I’ll be here all day to answer questions. I'd love to hear your feedback!

- Ranuja / support@folionapp.com