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Concordance
Three AI models on the same question. See where they split.
Concordance runs your question through three AI models simultaneously. A fourth synthesizes them and outputs a consensus score (0–100). High = models agree. Low = at least one is guessing. Built for the moments when one model sounds confidently wrong.
Hey PH - maker here.
The story that pushed me to build this: one Tuesday I spent two hours chasing a Bitrix24 API method that an AI assistant described in detail, with code examples and confident tone. The method doesn't exist. I'd been working from one model's confident answer.
That night I ran the same question through three models. Three different method names came back:
- ChatGPT: crm.item.userfield.add
- DeepSeek: crm.userfield.add
- Gemini: userfieldconfig.add
Only Gemini had the right one for smart processes. The other two were either invented or borrowed from a different part of the API that doesn't apply. All three answered with the same confident tone. No hedging.
That's the whole product. Concordance runs your question through three independent models simultaneously. A fourth model synthesizes them and outputs a consensus score (0–100). High = the models converged, well-covered territory in training data. Low = they diverged, someone's guessing, worth verifying.
A small benchmark I ran (60 questions, half general / half narrow technical): general questions clustered at median 95% consensus. Narrow technical questions sat at median 33%. The signal lives in the bottom half - that's where one model is quietly wrong.
It doesn't pick a winner. It can't - that fourth model doesn't know the right answer either; no LLM does. It just makes disagreement visible, so when models split, you know to verify before relying on a single answer.
Built solo, for a problem I kept hitting myself. Free tier: 3 queries - try it on something you've been trusting one model for. Founding tier: $9/mo for the first 100 people, price locked for 3 years.
Try it on something you've been trusting one model for - and tell me what you find.
Longer write-up here: https://dev.to/concordance_ai/i-...
About Concordance on Product Hunt
“Three AI models on the same question. See where they split.”
Concordance was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #76 on the daily leaderboard. Concordance runs your question through three AI models simultaneously. A fourth synthesizes them and outputs a consensus score (0–100). High = models agree. Low = at least one is guessing. Built for the moments when one model sounds confidently wrong.
On the analytics side, Concordance competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Concordance performed against the three products that launched closest to it on the same day.
Who hunted Concordance?
Concordance was hunted by concordance AI. 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 Concordance including community comment highlights and product details, visit the product overview.
concordance AI