This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
WattAI is an on-device decision model. Send it text and a list of options, and get back the option that fits, plus a calibrated probability for each. No text generation, no JSON parsing, no data leaving your device. Open source, self-hostable, and available through a free API.
WattAI is a small, open-source decision model that turns unstructured text into typed decisions, without generating text.
Send WattAI a piece of text and a list of options, and it tells you which option fits best, along with a calibrated probability for every option.
That makes it useful for the part of an AI pipeline where you don't need a chatbot, you need a reliable decision.
Classify a support ticket. Detect intent. Route a document. Score urgency. Decide whether something is a refund request. Categorise an agent trace. Build structured signals from text.
Instead of asking an LLM to generate an answer and then parsing it, you define the answers you actually want and let WattAI score them directly.
No generation. No JSON parsing. No prompt gymnastics. Just decisions.
Categorize runs locally, so you can use it offline and keep your data on your machine. The recommended model is a 726 MB F16 build, with smaller quantized builds available for constrained hardware and edge devices.
It also comes with a hosted API if you don't want to run the model yourself. The API is free during the v0.5 preview, with no account or API key required for the anonymous tier.
Give WattAI text. Give it the choices. Get a decision and the probability distribution behind it.
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About WattAI on Product Hunt
“Free Decision Intelligence”
WattAI was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #46 on the daily leaderboard. WattAI is an on-device decision model. Send it text and a list of options, and get back the option that fits, plus a calibrated probability for each. No text generation, no JSON parsing, no data leaving your device. Open source, self-hostable, and available through a free API.
WattAI was featured in API (98.7k followers), Developer Tools (519.8k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 219.2k products, making this a competitive space to launch in.
Who hunted WattAI?
WattAI was hunted by Naman vyas. 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 WattAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Naman vyas
WattAI is a small, open-source decision model that turns unstructured text into typed decisions, without generating text.
Send WattAI a piece of text and a list of options, and it tells you which option fits best, along with a calibrated probability for every option.
That makes it useful for the part of an AI pipeline where you don't need a chatbot, you need a reliable decision.
Classify a support ticket. Detect intent. Route a document. Score urgency. Decide whether something is a refund request. Categorise an agent trace. Build structured signals from text.
Instead of asking an LLM to generate an answer and then parsing it, you define the answers you actually want and let WattAI score them directly.
No generation. No JSON parsing. No prompt gymnastics. Just decisions.
Categorize runs locally, so you can use it offline and keep your data on your machine. The recommended model is a 726 MB F16 build, with smaller quantized builds available for constrained hardware and edge devices.
It also comes with a hosted API if you don't want to run the model yourself. The API is free during the v0.5 preview, with no account or API key required for the anonymous tier.
Give WattAI text. Give it the choices. Get a decision and the probability distribution behind it.