Ratings and feedback after you submit
After a challenge attempt, leave stars and short notes. Choose what becomes public—homepage review cards, attribution style, and whether score or time appears.
After you finish a challenge
When you submit a coding, quiz, terminal, or multi-part challenge, EraCode invites a short review: star ratings for the challenge (and optional joke surfaces on quizzes), plus a few lines about what worked or what was confusing.
Reviews stay private by default. You can edit them later from the challenge page until you are ready to share—or keep them for your own record.
Opt-in sharing and privacy
Public sharing is a deliberate choice. Toggle whether your challenge review, joke reaction, written notes, or score and time appear on public cards.
Attribution can show initials and stars or your display name—your call. Privacy settings also cover public leaderboard visibility separately from review cards.
To leave a review, [sign in](/auth/signin) and complete a challenge; there is no separate “review-only” mode divorced from real practice.
Where feedback shows up
Opted-in challenge reviews can surface on the [home page](/) carousel (“From the community”), giving newcomers a honest slice of how people experience challenges.
Team members may also see published activity in organization social feeds—scoped to membership, not a global broadcast.
This is social proof for practice habits, not a scoreboard for promotions. Pair reviews with [daily challenges](/features/daily-challenges) or [community challenges](/features/community-challenges) when you want more context on the work behind the card.
Good to know
Publishing a review is always opt-in. Stars and notes are practice feedback, not hiring or performance verdicts.
Challenge list “rating” sort (Community+ plans) uses aggregate stars on the catalog—it is separate from your post-submit review card.
You control initials vs display name and whether score or time appears on public cards; see Privacy settings for leaderboard opt-out.
When a challenge is timed, we use a server-anchored timer and combine your AI score with how long you took—across coding, terminal, and multi-part submissions.