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LiLog
an offline CAN log analyzer
Imports BLF and ASC log files, Imports DBC files for signal decoding, supports multiple DBCs simultaneously, Decodes raw CAN frames into physical signal values on-device, Lets you overlay multiple signal waveforms on a shared time axis, Search/filter by timestamp, CAN ID, channel, or signal value range. Everything happens 100% offline, your log data never leaves your device, no account needed.
Top comment
Hey, I'm an automotive software engineer, and I wanted to share a tool I built that might be useful to folks here. The problem : I always received CAN logs from my colleague about a car problem on my phone. I don't want to import it to my computer to view it — I just want to quickly check it on my phone. So I build the LiLog. I'd genuinely love feedback from people who work with CAN bus regularly. What file formats do you need? What would make this actually useful in your workflow? What features am I missing that would make you actually consider using a phone for log analysis?
About LiLog on Product Hunt
“an offline CAN log analyzer”
LiLog was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. Imports BLF and ASC log files, Imports DBC files for signal decoding, supports multiple DBCs simultaneously, Decodes raw CAN frames into physical signal values on-device, Lets you overlay multiple signal waveforms on a shared time axis, Search/filter by timestamp, CAN ID, channel, or signal value range. Everything happens 100% offline, your log data never leaves your device, no account needed.
On the analytics side, LiLog competes within Analytics, Developer Tools and Tech — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how LiLog performed against the three products that launched closest to it on the same day.
Who hunted LiLog?
LiLog was hunted by Haoriwa. 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.
For a complete overview of LiLog including community comment highlights and product details, visit the product overview.