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Molfar System
Run a meeting with 4 AI models on your Android phone
Molfar System turns a single chatbot conversation into a structured meeting. Assign up to four AI participants — each on its own model and provider (Gemini, NVIDIA, OpenRouter) — give them roles and documents, and ask your question. They answer independently, without seeing each other. A moderator compares the answers and builds one summary; a secretary keeps the knowledge base and writes the protocol. Free, no account, no server. You bring your own API keys, everything stays on your device.
Hi Product Hunt 👋
I'm a solo developer from Ukraine. Seven months ago I wrote the first line of Molfar System on my phone — and never once sat down at a computer. The app, the website, the videos: all of it was built on a phone. Hence the odd stack for Android (Python, Kivy, python-for-android, builds via GitHub Actions) — without a desktop, there wasn't much choice.
What it does
Instead of asking one model and getting one answer, you assemble a meeting. Up to four AI participants, each on its own model and provider (Gemini, NVIDIA, OpenRouter), each with its own role and its own documents. They answer independently and can't see each other's replies. Then a moderator compares the answers and builds one summary — shared points, disagreements, recommendations — and you can send a follow-up round of questions to specific participants. A sixth slot, the secretary, keeps the project's knowledge base and writes the meeting protocol.
How it's built
No backend, no accounts, no analytics, no ads, no monetization. You bring your own provider keys (all three have free tiers), and requests go straight from your phone to the provider. Projects, chats, documents and the knowledge base live on your device only.
What I'm actually looking for
Not customers — there's nothing to sell. This is a semi-research project: I'm testing where several independent models genuinely produce a better result, and where the extra complexity isn't worth it. Part of it works, part still needs proving.
So I'm looking for people who find that question interesting. If you try it on a real task, I'd love to hear how it went. Especially when the multi-model setup gave you nothing useful. A negative result is the most valuable thing I can get right now.
Limitations, upfront and honestly: knowledge base search is SQLite with LIKE, not vector-based (embeddings are on the roadmap). Free models can be slow under load. And it's Android only.
Happy to answer anything about the process itself: what it's like to develop from a phone, how a meeting works under the hood, how the road to Google Play went.
About Molfar System on Product Hunt
“Run a meeting with 4 AI models on your Android phone”
Molfar System was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #80 on the daily leaderboard. Molfar System turns a single chatbot conversation into a structured meeting. Assign up to four AI participants — each on its own model and provider (Gemini, NVIDIA, OpenRouter) — give them roles and documents, and ask your question. They answer independently, without seeing each other. A moderator compares the answers and builds one summary; a secretary keeps the knowledge base and writes the protocol. Free, no account, no server. You bring your own API keys, everything stays on your device.
On the analytics side, Molfar System competes within Android, Productivity and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Molfar System performed against the three products that launched closest to it on the same day.
Who hunted Molfar System?
Molfar System was hunted by Gucul Molfar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Molfar System including community comment highlights and product details, visit the product overview.
Gucul Molfar