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Polycode
One prompt. Every model. One answer - with receipts.
Polycode asks Claude, GPT, Gemini, Apple Intelligence and your local models the same question at once, then hands you one synthesized answer — plus the full trace of who said what, how long it took, and what it cost. Citation pills flag where the models disagree, so you can judge confidence instead of trusting one black box. Native macOS. Your own API keys in Keychain, straight to providers — no proxy. Pay once, no subscription. Launch month: $19.95 → $4.95 through Aug 31.
Hi Product Hunt — I'm Anthony, and I built Polycode.
The problem I kept hitting: I'd ask Claude something, get an answer, and have no idea whether it was right. So I'd re-ask GPT. Then Gemini. Then sit there manually diffing three answers across three tabs, with no real sense of where they actually disagreed or what I'd just spent.
Polycode does that automatically. One prompt fans out to every model you've configured — Claude, GPT, Gemini, Apple Intelligence, or a local Ollama/LM Studio endpoint — they answer in parallel, and a primary model you pick synthesizes them into one reply. Citation pills mark the spots where the models diverged, so disagreement becomes a signal instead of something you never find out about.
The part I care most about is the trace inspector. Every exchange keeps its receipts: per-model latency, input/output tokens, resolved model ID, and cost. Nothing hidden, nothing estimated.
It's a native SwiftUI app, sandboxed, using your own API keys out of the macOS Keychain and talking straight to providers — no proxy, no account, no server of mine in the middle. Conversations stay on your Mac. One-time purchase, no subscription.
For launch month it's $4.95 instead of $19.95, through Monday August 31.
What I'd most like feedback on: does the consensus synthesis actually earn its place, or would you rather see the raw model responses side by side and judge for yourself? I went back and forth on that for months and I'm still not certain I picked right. Happy to get into the fan-out architecture or the cost accounting with anyone who's interested.
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About Polycode on Product Hunt
“One prompt. Every model. One answer - with receipts.”
Polycode was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. Polycode asks Claude, GPT, Gemini, Apple Intelligence and your local models the same question at once, then hands you one synthesized answer — plus the full trace of who said what, how long it took, and what it cost. Citation pills flag where the models disagree, so you can judge confidence instead of trusting one black box. Native macOS. Your own API keys in Keychain, straight to providers — no proxy. Pay once, no subscription. Launch month: $19.95 → $4.95 through Aug 31.
Polycode was featured in Mac (103.6k followers), Developer Tools (517.6k followers) and Artificial Intelligence (476.1k followers) on Product Hunt. Together, these topics include over 203k products, making this a competitive space to launch in.
Who hunted Polycode?
Polycode was hunted by Anthony Izzo. 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.
Want to see how Polycode stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anthony Izzo
Hi Product Hunt — I'm Anthony, and I built Polycode.
The problem I kept hitting: I'd ask Claude something, get an answer, and have no idea whether it was right. So I'd re-ask GPT. Then Gemini. Then sit there manually diffing three answers across three tabs, with no real sense of where they actually disagreed or what I'd just spent.
Polycode does that automatically. One prompt fans out to every model you've configured — Claude, GPT, Gemini, Apple Intelligence, or a local Ollama/LM Studio endpoint — they answer in parallel, and a primary model you pick synthesizes them into one reply. Citation pills mark the spots where the models diverged, so disagreement becomes a signal instead of something you never find out about.
The part I care most about is the trace inspector. Every exchange keeps its receipts: per-model latency, input/output tokens, resolved model ID, and cost. Nothing hidden, nothing estimated.
It's a native SwiftUI app, sandboxed, using your own API keys out of the macOS Keychain and talking straight to providers — no proxy, no account, no server of mine in the middle. Conversations stay on your Mac. One-time purchase, no subscription.
For launch month it's $4.95 instead of $19.95, through Monday August 31.
What I'd most like feedback on: does the consensus synthesis actually earn its place, or would you rather see the raw model responses side by side and judge for yourself? I went back and forth on that for months and I'm still not certain I picked right. Happy to get into the fan-out architecture or the cost accounting with anyone who's interested.