5 items
AI comments in your own voice on LinkedIn, X (Twitter), and Reddit. Adapts to each platform's tone and subreddit culture. Most AI comment tools produce the same polished paragraph for every post, on every platform, for every user. It reads like AI because it is. CommentLikeMe writes in your voice instead. Give it your role, a few career highlights, and up to three comments you've written yourself, and it uses them as a style reference — so what comes back sounds like you wrote it, not like a language model wrote it. WRITES FOR THE PLATFORM YOU'RE ON Reddit comments read like Reddit. X replies read like X and respect the character limit. LinkedIn stays LinkedIn. Replies to replies are written as replies, with the thread above them in context. READS THE POST FIRST It classifies what kind of post it's looking at — an insight, a debate, a question, a recruiting post, a personal milestone — and picks an angle that fits, rather than agreeing with everything. It reads images and charts in the post too, so it can reference what's actually there. BUILT NOT TO MAKE THINGS UP The model is instructed to work only from what's in the post and your profile. It won't invent a statistic, a shared history, or an opinion you never expressed. YOU CONTROL THE OUTPUT Tone from reserved to expressive. Length from short to analytical. Emoji from none to plenty. Optional lowercase style. Every generation returns multiple variations — pick one, edit it, or discard all three. OPTIONAL: LIVE PROOF Add your GitHub or blog and the AI may reference your actual work when a technical post makes it relevant. PRIVACY Your data is not sold. Comment generation happens on our server and the post text is used for that request, not retained for training. You can bring your own AI API key if you'd prefer your generations run on your own account. HOW IT WORKS 1. Install and sign in. 2. Fill in your profile in the extension popup — role, highlights, and a writing sample or two. 3. On LinkedIn, X, or Reddit, click the AI Comment button on any post. 4. Pick a variation and insert it. Questions or feedback: www.commentlike.me/support
Aug 4, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.