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ConceptNet classifies enterprise voice commands into 4 intent layers — Basic, Context-Aware, Predictive, and Autonomous — producing structured JSON for agent execution. Token-free · 98.6% accuracy · 9 languages · No API cost · Open source Built for sales, legal, ops, and CS teams who want to automate repetitive workflows without paying $125K/year for GPT-4o. Try the live sandbox in 30 seconds — no login, no setup.
Hi Product Hunt 👋🏿
I'm Tony, founder of ConceptNet.
I built this because enterprise AI agents have a classification problem. Every agent needs to know what kind of action to take — execute now, wait for a trigger, act proactively, or run autonomously forever. That's 4 fundamentally different execution patterns. No existing tool classifies them correctly.
So I built one. Before raising a penny.
What we have today:
✅ Fast-path classifier — 83% accuracy, <5ms
✅ Neural model — 98.6% accuracy, <100ms
✅ 730-example multilingual dataset
✅ 9 languages live
✅ Open source on GitHub
✅ Patents pending
Looking for 20 enterprise teams to pilot free. Sales, legal, ops, CS if your team does repetitive voice workflows, this is for you.
Try it in 30 seconds: conceptnet.co.uk/sandbox/
Happy to answer any questions below 👇🏿
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About ConceptNet on Product Hunt
“Voice intent classifier for enterprise AI agents”
ConceptNet was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #87 on the daily leaderboard. ConceptNet classifies enterprise voice commands into 4 intent layers — Basic, Context-Aware, Predictive, and Autonomous — producing structured JSON for agent execution. Token-free · 98.6% accuracy · 9 languages · No API cost · Open source Built for sales, legal, ops, and CS teams who want to automate repetitive workflows without paying $125K/year for GPT-4o. Try the live sandbox in 30 seconds — no login, no setup.
ConceptNet was featured in Open Source (68.8k followers), SaaS (43.9k followers), Artificial Intelligence (477.2k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 214.2k products, making this a competitive space to launch in.
Who hunted ConceptNet?
ConceptNet was hunted by tonylab. 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.
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