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ThinkerWave
Local AI that argues with itself so it won't bluff you
Most AI gives you one confident answer from a single framing.ThinkerWave is built for exactly the decisions you can't quickly check: credit policy, threat models, capital allocation, candidate selection, ThinkerWave attacks a problem from several independent framings, discovers the criteria that actually matter, and builds the strongest case against its own conclusion before it commits. When it isn't sure, it says so. It also runs locally, so your data stays yours
Hey Product Hunt 👋 I'm Vikas, founder of ThinkerWave.
I've spent about 30 years building production systems, including voice AI that ended up used by millions of people. One pattern stuck with me: AI is brilliant when you can check its answer in a few seconds, and quietly dangerous when you can't. And the decisions that actually matter, the ones where being wrong is expensive, are exactly the ones you can't quickly check. Credit policy, threat models, capital allocation, the calls where smart people genuinely disagree.
Every time I tried to make an agent trustworthy on those problems, I learned the same thing. You don't fix it with a bigger model. A more capable model just hallucinates more fluently. It's an architecture problem. So ThinkerWave never treats its first answer as final. It works a problem from several angles, discovers the criteria that actually matter, argues against its own conclusion, and refuses a malformed question instead of inventing a confident number. Every run keeps a full trail you can audit. And it runs locally with your own model keys, because for decisions like these your data can't leave the building.
It's early and invite-only right now, and I'd love one thing from you: what's a high-stakes decision in your world where a confident wrong answer is expensive? That's exactly what I built this for, and your answers will shape where it goes next.
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About ThinkerWave on Product Hunt
“Local AI that argues with itself so it won't bluff you”
ThinkerWave was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #123 on the daily leaderboard. Most AI gives you one confident answer from a single framing.ThinkerWave is built for exactly the decisions you can't quickly check: credit policy, threat models, capital allocation, candidate selection, ThinkerWave attacks a problem from several independent framings, discovers the criteria that actually matter, and builds the strongest case against its own conclusion before it commits. When it isn't sure, it says so. It also runs locally, so your data stays yours
ThinkerWave was featured in Medical (3.5k followers), Finance (6.3k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 15.7k products, making this a competitive space to launch in.
Who hunted ThinkerWave?
ThinkerWave was hunted by Vikas Goel. 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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Vikas Goel