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Delt-IEt
Zero-label failure detection across any physical system
Delt-IEt detects imminent failure in any physical system — no labels, no training, no domain parameters. One equation. Validated on NASA turbofan engines (100/100 detected), lithium-ion batteries (alert at 98.35% nominal capacity, 116 cycles before EOL), power semiconductors (zero false positives), and algae bioreactors. Same algorithm, four unrelated domains, zero retraining. Patent filed Brazil. Preprint: Zenodo. Kaggle notebook with real NASA data available
Independent researcher from Feira de Santana, Brazil. Built Delt-IEt after observing that failure in physically unrelated systems — turbofan engines, lithium batteries, semiconductors, bioreactors — shares a common entropic signature. The anomalous result: NASA Battery B0005 fired at cycle 8, capacity 98.35% nominal, 116 cycles before end-of-life. Same pattern in B0007. I don't fully understand why. Kaggle notebook with real NASA data: kaggle.com/code/ubirajaravasconcelos/delt-iet-what-is-happening-at-cycle-8 — What is happening at cycle 8?
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About Delt-IEt on Product Hunt
“Zero-label failure detection across any physical system”
Delt-IEt was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. Delt-IEt detects imminent failure in any physical system — no labels, no training, no domain parameters. One equation. Validated on NASA turbofan engines (100/100 detected), lithium-ion batteries (alert at 98.35% nominal capacity, 116 cycles before EOL), power semiconductors (zero false positives), and algae bioreactors. Same algorithm, four unrelated domains, zero retraining. Patent filed Brazil. Preprint: Zenodo. Kaggle notebook with real NASA data available
Delt-IEt was featured in Developer Tools (514.1k followers), Artificial Intelligence (471.1k followers) and Science (1.4k followers) on Product Hunt. Together, these topics include over 172.8k products, making this a competitive space to launch in.
Who hunted Delt-IEt?
Delt-IEt was hunted by Ubirajara Vasconcelos. 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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Ubirajara Vasconcelos