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BayesChat
Privacy-first AI chat client: BYOK, MCP, streaming & LaTeX
• Multi-Provider Support: Connect to any model via OpenAI/Anthropic-compatible APIs, including local models • Chat Presets: Save prompt, model, parameter, and tool as reusable presets. Switch between them with one tap to boost your workflow efficiency • MCP protocol supoort: MCP integration for third-party tool calling • Prompt Variables: Dynamic placeholders for context-aware prompts • Live Streaming: Real-time typewriter animation rendering with LaTeX formulas and Markdowns
Motivation 1: Privacy & Cost Talking to AI is getting more interesting and important every day. People want to ask AI tons of questions — even "stupid" ones. But asking cloud providers costs money, and free tiers are limited. Besides, People care about their privacy — they don't want AI companies know what they're thinking about every day. That's why keeping data on local machine and using local models matters. As model capabilities continue to improve, local models are now powerful enough for daily use. Everyone needs a private AI assistant on their own PC or phone.
Motivation 2: No Good Client Exists I searched for months for a privacy-first, BYOK chat client that stayed out of my way. What I found was either overloaded with features or missing essentials: clean UI, MCP support, proper Markdown/LaTeX rendering, and Chat Presets — the ability to save and switch complete configurations (prompts, models, parameters, tools) with one tap.
So I built BayesChat — the lightweight client I wished existed.
About BayesChat on Product Hunt
“Privacy-first AI chat client: BYOK, MCP, streaming & LaTeX”
BayesChat was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #91 on the daily leaderboard. • Multi-Provider Support: Connect to any model via OpenAI/Anthropic-compatible APIs, including local models • Chat Presets: Save prompt, model, parameter, and tool as reusable presets. Switch between them with one tap to boost your workflow efficiency • MCP protocol supoort: MCP integration for third-party tool calling • Prompt Variables: Dynamic placeholders for context-aware prompts • Live Streaming: Real-time typewriter animation rendering with LaTeX formulas and Markdowns
On the analytics side, BayesChat competes within iOS, Artificial Intelligence and Bots — topics that collectively have 697.3k followers on Product Hunt. The dashboard above tracks how BayesChat performed against the three products that launched closest to it on the same day.
Who hunted BayesChat?
BayesChat was hunted by Eric Fan. 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 BayesChat including community comment highlights and product details, visit the product overview.
Eric Fan
I built BayesChat for two reasons:
Motivation 1: Privacy & Cost
Talking to AI is getting more interesting and important every day. People want to ask AI tons of questions — even "stupid" ones. But asking cloud providers costs money, and free tiers are limited. Besides, People care about their privacy — they don't want AI companies know what they're thinking about every day. That's why keeping data on local machine and using local models matters. As model capabilities continue to improve, local models are now powerful enough for daily use. Everyone needs a private AI assistant on their own PC or phone.
Motivation 2: No Good Client Exists
I searched for months for a privacy-first, BYOK chat client that stayed out of my way. What I found was either overloaded with features or missing essentials: clean UI, MCP support, proper Markdown/LaTeX rendering, and Chat Presets — the ability to save and switch complete configurations (prompts, models, parameters, tools) with one tap.
So I built BayesChat — the lightweight client I wished existed.