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Wispr Flow - Donโt type, just speak
๐ค Dictation
Chord analysis
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Ishan Acharya๐ 2 karmaJan 5, 2026@HemelionI am not sure if its working as when I gave the test and post that when I was trying to pay for the results it failed and is not loading the payment page.
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OpenI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it.
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Discover your life's secrets through professional palm reading analysis.Open
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Wispr Flow - Donโt type, just speak๐ค Dictation
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What stood out was explainability. The Reasoning panel shows exactly how the advice follows from hexagram โ line texts โ question context. It felt more like a decision journal than a โfortune.โ
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Really interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders donโt buy models โ they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, thatโs ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts.
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Transcriptions seem pretty accurate, especially Piano2Notes does a great job!
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Turn app reviews into actionable insightsโquickly and efficientlyOpen
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I was just trying to get a quick graph showing population evolution over the last 30 years, didnโt have the dataset ready, so I was hoping the tool could auto-fill something reasonable. But it literally gave me three values. Three?? For 30 years?? What kind of trend can I possibly see with that? If the tool offers to research the data, it should at least offer a full timeline. And when I pasted the data I found, it created a literally bar chart???
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Open -
Hey Guys! ๐ I built TonesMatch because chasing guitar tone is still way too messy. Most guitarists have done the same thing: search โMetallica amp settingsโ or โHotel California guitar tone,โ copy some random settings from a forum, and then realize they do not really work on their own amp. The problem is that tone settings are not universal. A Marshall Plexi, Boss Katana, Fender Blues Jr, and Line 6 Helix all respond differently. A general AI tool might suggest a channel, knob, or setting that sounds right in theory but does not even exist on your gear. TonesMatch solves this by combining researched real-world tone data with gear-aware AI. You type a song, choose your guitar, amp, and pedals, and TonesMatch adapts the target tone to your actual rig. It gives you practical settings you can actually dial in: amp channel, gain, EQ, pickup position, effects, and pedal chain suggestions. What makes it different: - Built on researched tone and gear data, not generic guesses - Adapts settings to your specific guitar, amp, pickups, and pedals - Supports both guitar and bass - Avoids recommending controls that do not exist on your amp - Includes a growing database of 13,000+ researched tones Would love feedback from guitarists, bassists, producers, and anyone who has ever spent too long chasing the perfect tone. Thanks for checking it out!

