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Runlog
Lightweight ML monitor — metrics, terminal logs, teams.
Lightweight ML training monitor built for unreliable connections. Metrics and terminal logs stream live. Lose connection mid-run — nothing is lost, data buffers locally and syncs in order. Start fully offline, come online mid-training — run gets created on the dashboard and streaming continues. 3 lines to connect any PyTorch, HF, or Keras script. Currently in beta.
I spent months frustrated with existing tools — not because they lacked features, but because they cost a fortune, assumed perfect infrastructure, and still managed to lose my logs when my connection dropped at 2am.
So I built Runlog from scratch. No shortcuts, no wrappers around existing tools — every component designed for reliability and simplicity from the ground up.
The result: a training monitor that does more than W&B or Neptune for a fraction of the cost, and actually works in the real world where connections drop, machines crash, and teams need to collaborate without enterprise budgets.
What that means in practice:
Metrics and terminal logs stream live — print() statements are first-class citizens, not an afterthought
Fully offline-first — start offline, lose connection mid-run, come back online — nothing is ever lost, everything syncs in order automatically
Crash and dead run detection with instant alerts
Pause your training remotely from the dashboard without killing the process
Team workspaces with RBAC, run comparison, built-in chat, and shareable run links
Built lean, priced lean. No VC money, no inflated pricing to justify it.
Currently in beta with 25 open spots — every beta user gets full access to our top plan completely free for the entire beta period. No credit card, no trial limits. Just the full product. Happy to answer anything.
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About Runlog on Product Hunt
“Lightweight ML monitor — metrics, terminal logs, teams.”
Runlog was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #122 on the daily leaderboard. Lightweight ML training monitor built for unreliable connections. Metrics and terminal logs stream live. Lose connection mid-run — nothing is lost, data buffers locally and syncs in order. Start fully offline, come online mid-training — run gets created on the dashboard and streaming continues. 3 lines to connect any PyTorch, HF, or Keras script. Currently in beta.
Runlog was featured in Analytics (172k followers), Developer Tools (512.9k followers) and Artificial Intelligence (469.3k followers) on Product Hunt. Together, these topics include over 179.3k products, making this a competitive space to launch in.
Who hunted Runlog?
Runlog was hunted by Govind Barbade. 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.
Want to see how Runlog stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Govind Barbade
Hey PH! 👋 I'm Govind, solo builder of Runlog.
I spent months frustrated with existing tools — not because they lacked features, but because they cost a fortune, assumed perfect infrastructure, and still managed to lose my logs when my connection dropped at 2am.
So I built Runlog from scratch. No shortcuts, no wrappers around existing tools — every component designed for reliability and simplicity from the ground up.
The result: a training monitor that does more than W&B or Neptune for a fraction of the cost, and actually works in the real world where connections drop, machines crash, and teams need to collaborate without enterprise budgets.
What that means in practice:
Metrics and terminal logs stream live — print() statements are first-class citizens, not an afterthought
Fully offline-first — start offline, lose connection mid-run, come back online — nothing is ever lost, everything syncs in order automatically
Crash and dead run detection with instant alerts
Pause your training remotely from the dashboard without killing the process
Team workspaces with RBAC, run comparison, built-in chat, and shareable run links
3 lines to connect — PyTorch, HuggingFace, Keras, XGBoost, anything Python
Built lean, priced lean. No VC money, no inflated pricing to justify it.
Currently in beta with 25 open spots — every beta user gets full access to our top plan completely free for the entire beta period. No credit card, no trial limits. Just the full product. Happy to answer anything.