Sindo is an AI-powered platform for collecting, managing, and sharing customer testimonials. Automate social proof gathering from various sources and display the reviews on your website, emails, and socials to boost trust and conversions.
Effortless AI-powered testimonials: collect, manage & share
Sindo is an AI-powered platform for collecting, managing, and sharing customer testimonials. Automate social proof gathering from various sources and display the reviews on your website, emails, and socials to boost trust and conversions.
Hey Product Hunt! We built Sindo because we know how tough it is to collect and manage customer testimonials. Social proof is powerful, but businesses struggle with scattered reviews, manual follow-ups, and inconsistent feedback. With our background in AI and automation, we wanted to remove the friction. Sindo uses AI to automatically collect, analyze, and categorize testimonials from 30+ sources. Our AI also helps summarize insights, detect sentiment, and suggest the best testimonials to showca
🚀 Massive congrats on the launch, Sindo team @susaana_s ! The AI-driven testimonial curation from 30+ sources is genius – finally killing those endless feedback spreadsheets! 😍 Love how sentiment analysis surfaces the best reviews automatically. A tiny suggestion: Adding real-time alerts for negative feedback (Slack/MS Teams?) could help crisis response! Any plans for Trello integrations? 👏 Can't wait to see where you take this!
how can we collect for our product?
Just tried out Sindo and it’s super slick! 🔍✨ Love how you’ve tackled the messy process of managing testimonials—pulling them from 30+ sources and auto-summarizing them is a huge time-saver. The AI suggestions for which ones to showcase are such a smart touch too (no more guesswork 🙌). Social proof is critical, and Sindo feels like the perfect bridge between raw feedback and polished trust signals. Congrats on the launch—excited to see where you take it next! 🚀
Hi Susanna, big congrats on launching Sindo! I love how it automates testimonials from 30+ sources. It’d be great to list it in my startup directory too!
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.