This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Restemb
Predict employee burnout weeks before it shows up
Restemb sends your team a short daily check-in (30 seconds) and surfaces patterns that point to burnout — weeks before anyone notices. Individual answers stay always private. Unlike weekly surveys or calendar metadata tools, daily data density lets Restemb model each person's risk trajectory and predict a burnout event 4–6 weeks in advance. Managers see team-level signals only. Individual data is never exposed — enforced at the data layer, not just the UI.
Hey Product Hunt! We built Restemb because burnout is sneaky — by the time a manager notices, it's often too late.
We spent months researching why existing tools fail: weekly surveys don't have enough data density to spot a trend, and calendar metadata misses the human side entirely. Daily check-ins (30 seconds, 3 questions) give us the signal depth to build a real predictive model — 4–6 weeks of early warning.
The privacy piece was non-negotiable. Individual answers are never visible to managers — not just a UI toggle, but enforced at the data layer. We believe people only answer honestly when they truly trust the system.
We're in early access now. Would love your feedback — especially from managers and HR folks who've tried other tools!
About Restemb on Product Hunt
“Predict employee burnout weeks before it shows up”
Restemb was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #61 on the daily leaderboard. Restemb sends your team a short daily check-in (30 seconds) and surfaces patterns that point to burnout — weeks before anyone notices. Individual answers stay always private. Unlike weekly surveys or calendar metadata tools, daily data density lets Restemb model each person's risk trajectory and predict a burnout event 4–6 weeks in advance. Managers see team-level signals only. Individual data is never exposed — enforced at the data layer, not just the UI.
On the analytics side, Restemb competes within Productivity, SaaS and Human Resources — topics that collectively have 696.4k followers on Product Hunt. The dashboard above tracks how Restemb performed against the three products that launched closest to it on the same day.
Who hunted Restemb?
Restemb was hunted by Pranav Pradeesh. 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 Restemb including community comment highlights and product details, visit the product overview.
Pranav Pradeesh