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Attribyt
Local multi-touch attribution tool for marketing analytics
Attribyt is an open-source tool for multi-touch marketing attribution. Upload your customer journey data (CSV or Excel) and compare four attribution models side by side — Last-Click, Linear, Time Decay, and an exact Markov-chain removal-effect model. Everything runs locally via Docker, so your data never leaves your machine. Built with FastAPI, React, and Polars.
Hey everyone! 👋
I created this project just for fun, don’t look for any deep meaning here — I just thought it was interesting, that’s all. Maybe someone else will find it interesting too, lol.
Most tools default to Last-Click, which overpays bottom-of-funnel channels and undervalues the ones that actually create demand. Attribyt runs four models side by side so you can see the difference on your own data — including a real Markov-chain removal-effect model.
It's fully open-source and runs locally via Docker — no cloud, no data leaving your machine. If you have any ideas on how it could be improved or what you’d like to see here, please write — I’d be interested to hear your thoughts.
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About Attribyt on Product Hunt
“Local multi-touch attribution tool for marketing analytics”
Attribyt was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #24 on the daily leaderboard. Attribyt is an open-source tool for multi-touch marketing attribution. Upload your customer journey data (CSV or Excel) and compare four attribution models side by side — Last-Click, Linear, Time Decay, and an exact Markov-chain removal-effect model. Everything runs locally via Docker, so your data never leaves your machine. Built with FastAPI, React, and Polars.
Attribyt was featured in Open Source (68.8k followers), Analytics (173.6k followers), Marketing (468k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 141.9k products, making this a competitive space to launch in.
Who hunted Attribyt?
Attribyt was hunted by Eapte. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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