Liminary just hit Product Hunt promising to turn your messy context into a shared AI working memory. Is it a game-changer or just another RAG app?
Sup nerds. Is your boss also breathing down your neck to "integrate AI" into literally everything? The problem is, these LLMs are great at yapping, but ask them about your company's internal docs or a client meeting from last week, and they start hallucinating harder than a junior dev after 4 energy drinks. Today, we're looking at a Product Hunt launch called Liminary that claims to fix this context nightmare.
Built by Sarah, an ex-Dropbox ML engineer who got tired of hoarding tabs, notes, and AI chats only to never find them again when needed.
Liminary isn't just another ChatGPT wrapper trained on the dumpster fire that is the internet. It acts as a shared "working memory" for your AI. You feed it your stuff (Gmail, docs, PDFs, YouTube transcripts), and it strictly uses that to ground its answers. If you're typing in Google Docs, it proactively pulls relevant info from your library. If you're in a meeting and someone mentions "Project X," boom, your notes on Project X pop up automatically. No manual searching required. Pretty slick, right?
Sitting at a solid 144 upvotes, it got some heavy scrutiny from the community, and the devs actually held their ground.
Honestly, the underlying tech isn't black magic—it's essentially RAG (Retrieval-Augmented Generation) done very well. But the UX is where it shines. Instead of forcing users to switch tabs to chat with a bot, it lives where the actual work happens (browser, Docs, meetings).
The ultimate takeaway for us devs? You can have the most cutting-edge retrieval system, but if you force users to drastically change their workflow or manually tag their own data, your product will flop. Build for the lazy user. Embrace the chaos. That's the real 10x developer mindset.
Source: Product Hunt - Liminary
