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Cara🙏 6 karmaMar 18, 2026@VerdentReally impressed by the multi-model planning and code review. Having different models collaborate instead of relying on just one actually leads to better decisions. You can feel the difference on more complex tasks. - SponsorFlow - 4x faster than typing🎤 Dictation
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Codespell streamlined our development process by automating repetitive backend tasks. It’s intuitive, efficient, and has become a core part of our workflow.
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OpenAbsolutely HUGE. This gonna be the top AI for YouTube creators! -
AI-powered code reviews that accelerate pull requests and improve code qualityOpenI signed up for early access and have been using codoki for a few months now, eventually brought it into my team as well. Great tool, simple to use, not overwhelming and has caught things in a way thats actually digestible - Didn't find the AI you were looking for?
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From one of our customers: We are running our 15 person VC-backed company right now without a PM. Devplan helps fills that gap for us by generating high-quality user stories that sync in Linear in minutes. What used to take me days of back and forth and refinement I’m now doing in less then a hour.
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AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users! -
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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!
