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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?
I built Levell because every engineering team I've seen does performance reviews the same broken way: a shared doc with role levels nobody reads, a spreadsheet that's out of date by the time reviews start, and a Notion template that lived for one cycle before being abandoned.
The actual problem isn't that managers don't care — it's that the tooling is so painful that the whole thing collapses to gut feel.
Levell is an attempt to fix that loop:
You define a competency framework — your skills matrix, your career levels, what "learning" vs "mastering" actually looks like at L3 vs L5
You run an evaluation cycle — manager ratings, plus a shareable self-assessment link you send directly to the engineer
You look at the data — radar charts, cycle-over-cycle diffs, team heatmaps, who's ready to promote, where the skill gaps are
That's the whole thing, a simple tool built by a tenured manager, for managers.
It's in early access and completely free right now — I'm still figuring out what people actually need before I start charging. If you try it and something is weird or missing, I genuinely want to know. Drop a comment or email me directly at [email protected].
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.
Levell was featured in Productivity (652.1k followers), SaaS (42.1k followers) and Software Engineering (42.5k followers) on Product Hunt. Together, these topics include over 184.3k products, making this a competitive space to launch in.
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.
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Alexander Wittur
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?