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Levell
Skills frameworks and performance reviews for eng teams
Levell replaces your competency spreadsheets with a structured tool for engineering managers. Build skills frameworks, run cycle reviews, share self-assessments, and turn ratings into growth plans — all in one place your team actually trusts.
Congrats Levell team! Wanna ask something.... since the server allows IDEs to write directly to the workspace, how do you manage role-based access control at the LLM layer? And how does the system prevent a developer's AI agent from accidentally altering historical evaluation data or overwriting calibrated manager ratings during a live cycle?
About Levell on Product Hunt
“Skills frameworks and performance reviews for eng teams”
Levell was submitted on Product Hunt and earned 6 upvotes and 4 comments, placing #65 on the daily leaderboard. Levell replaces your competency spreadsheets with a structured tool for engineering managers. Build skills frameworks, run cycle reviews, share self-assessments, and turn ratings into growth plans — all in one place your team actually trusts.
On the analytics side, Levell competes within Productivity, SaaS and Software Engineering — topics that collectively have 736.7k followers on Product Hunt. The dashboard above tracks how Levell performed against the three products that launched closest to it on the same day.
Who hunted Levell?
Levell was hunted by Alexander Wittur. 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 Levell including community comment highlights and product details, visit the product overview.
Congrats Levell team! Wanna ask something.... since the server allows IDEs to write directly to the workspace, how do you manage role-based access control at the LLM layer? And how does the system prevent a developer's AI agent from accidentally altering historical evaluation data or overwriting calibrated manager ratings during a live cycle?