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Ishan Acharya🙏 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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Discover your life's secrets through professional palm reading analysis.Open -
Hey Guys! 👋 I built TonesMatch because chasing guitar tone is still way too messy. Most guitarists have done the same thing: search “Metallica amp settings” or “Hotel California guitar tone,” 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!
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What stood out was explainability. The Reasoning panel shows exactly how the advice follows from hexagram → line texts → question context. It felt more like a decision journal than a “fortune.”
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Turn app reviews into actionable insights—quickly and efficientlyOpen -
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. -
Really interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders don’t buy models — they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, that’s ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts.
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I was just trying to get a quick graph showing population evolution over the last 30 years, didn’t 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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Transcriptions seem pretty accurate, especially Piano2Notes does a great job!
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Dumber than a box of hair. Asked for a break even analysis chart. Fed it clear fixed costs, variable costs, net operating income AND ROI percentages. Even hinted that the break even point was between years six and seven. Dude took five minutes to draw a line across the "0" plane labeled "costs" and a revenue line crossing through where I suggested the break even point is. The scale was between 0.2-1.6 USD. No, I am not running a business for ants.
