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).
OpenGauntlet
Find the local AI model you would actually want to talk to
OpenGauntlet makes roughly a year of research from building Imprynt publicly useful. It compares 32 locally hosted open-weight model configurations on conversational realism, emotional intelligence, memory, voice suitability, and on-device speed. You can inspect actual replies and methodology, then explore clearly labeled sourced surveys covering 106 speech-to-text and 168 text-to-speech systems.
OpenGauntlet grew out of roughly a year of research while I was building Imprynt, a voice-first companion. General benchmarks helped me understand what models could solve, but not which local model I would actually want to spend time talking to. I began giving each model the same multi-turn conversations, scoring both rubric dimensions and pairwise preferences, and publishing the replies so the results could be inspected rather than taken on faith. I am sharing the research publicly through D3velop because it seemed more useful in the open than scattered across project files. The Listening and Voices sections are sourced surveys rather than in-house benchmarks and are labeled separately. I would especially value feedback on the evaluation design and suggestions for the next model to put through the gauntlet.
the way you expose actual replies alongside the scoring makes this feel like real research, not a leaderboard stunt. love that the methodology page is just… there, unhidden. genuinely useful.
About OpenGauntlet on Product Hunt
“Find the local AI model you would actually want to talk to”
OpenGauntlet was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #122 on the daily leaderboard. OpenGauntlet makes roughly a year of research from building Imprynt publicly useful. It compares 32 locally hosted open-weight model configurations on conversational realism, emotional intelligence, memory, voice suitability, and on-device speed. You can inspect actual replies and methodology, then explore clearly labeled sourced surveys covering 106 speech-to-text and 168 text-to-speech systems.
OpenGauntlet was featured in Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 113.3k products, making this a competitive space to launch in.
Who hunted OpenGauntlet?
OpenGauntlet was hunted by Scotty Winter. 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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Scotty Winter