Solo Technical Founder, Two Products, One thesis. Hi we're new here! ๐Ÿ‘‹

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Hey Product Hunt, I'm Brandon ๐Ÿ‘‹

I'm a marketer by background, and over the years I watched my peers run into the same two walls. Nobody could say which dollars actually moved revenue, and their sites felt slow no matter what they spent. After every campaign, the CEO would ask how much incremental revenue it actually generated, and nobody had a real answer.

So we built two products:

The first one became . It runs attribution, media mix modeling, forecasting, and budget allocation on your own data, refit every night. MMM, forecasting, and attribution should not require a consulting retainer or a staff data scientist. No demo data, no vertical baked in. If your attribution story is currently "the platform dashboard says it worked," Bayesin is for you.

The second one became . Adaptive AI media infrastructure. Neural compression, perceptual optimization, and routing that picks the best of 352 optimization paths per asset. It never ships a file bigger than the best classical codec would produce, and every optimization is one click away from rolled back. Mostly it exists because I got tired of compression tools that either crushed quality or were extremely slow - our new codec addresses both!

We are early. If you have strong opinions about attribution, MMM, image pipelines, CNN, neural networks, or the last optimization tool that burned you, I want to hear them in the comments.

Thanks for having us ๐Ÿงก

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