FixFlags
Finish what your AI started.
What it does
Paste a live URL. FixFlags reviews what is actually on the screen, ranks the problems most likely to cost trust or conversions, and gives your AI the fix. Message, Experience, and Reach flags, with evidence. Built for people shipping with Cursor, Claude, Lovable, Bolt, and Devin.
Your AI says it’s done. Paste a URL and FixFlags runs Product QA for Message, Experience, and Reach Flags. Fix prompts for Cursor, Claude, Lovable, Bolt, and Devin. Free product review.
Paste your live URL. See the problems most likely to cost trust or conversions, ranked with evidence from the product. Explore a curated demo review. See the issues, the evidence behind them, and a fix you can paste into your AI editor. On mobile (375×812), the primary CTA starts below the first screen and requires scrolling. People can miss the main next step, which can reduce conversions. From live page to evidence-backed fix, every step stays connected. Paste the live URL. FixFlags experiences the page on desktop and mobile. Get the highest-impact Flags in order, each tied to the screen and behavior behind it. Take the fix to your AI editor, publish it, then run a fresh update review. We…from fixflags.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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