Free shirts! Be brutally honest. 👕📮

Last week we launched one of our biggest Product Hunt updates, including badges, descriptions, product reviews (and offered t-shirts to the most popular ones). Unlike comments, reviews are categorized by sentiment, and include both positive and critical feedback for makers to work on.

From the thousands of submissions, here are snippets of the most helpful reviews so far (click the name for the full review).

• Brendan Hersh on Carrd: The most amazing web building platform I've seen to date – and trust me, I've tried everything.

• Jack Dweck on Apple AirPods: The best Apple product since the iPhone. I don't go anywhere without my AirPods.

• Eugine Dychko on Crello: Really easy to use, lots of free templates. Would be great to include presentation templates.

• Roxanne Girouard on Taffy (a new dating app): I totally enjoy that I can chat with the person before my photo is totally clear.

• Evan Zimmerman on CryptoLadder: It's a fun app! Best way to casually update yourself on the crypto market I've seen so far.

More Free Product Hunt Shirts 😻

Many of the most upvoted products have yet to be reviewed by the community. As a small incentive, we'll send shirts to 10 of the most helpful reviews that are added today. 👕📮

Get started by browsing through the most upvoted products of 2014, 2015, 2016, and 2017, or log in and revisit products you've upvoted in the past.

Review The 1,000 Club 🏆

We asked 34 customers what Viktor does for them. Not one said chatbot.

They kept using words like colleague, coworker, team member. One CEO called it the glue holding their e-commerce business together, which is a lot, but also… you see why. It lives in Slack and plugs into 3,000+ tools, so instead of jumping between tabs, you just ask for the thing. Pull Stripe against HubSpot, check Sentry alerts, spin up a campaign brief, build a landing page, send a report upstairs. It all happens there.

It has already hit top 5 on Product Hunt with 130 comments, is SOC 2 certified, and your data does not train models.

One user said it was the first time AI felt like a real coworker, which is either exciting or slightly concerning depending on your week.