
Testimonial Chrome Extension
Collect testimonials from anywhere over the Internet
Testimonial Chrome Extension launched on March 28, 2023 with 375 votes, #65 of 5,007 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Testimonial Chrome Extension is a tool that collects testimonials and reviews from various web sources directly into one place. Users can capture feedback from Product Hunt comments, Twitter tweets, LinkedIn recommendations and posts, highlighted text, and screenshots. It's designed for marketers and business owners who need to gather social proof and customer testimonials efficiently while browsing the web.
written from the facts on this page · September 2026
From the sources
Testimonial Chrome extension allows you to easily collect testimonials from all over the web with just a few clicks: 🚀 PH comments and reviews 🐦 Twitter tweet 🧳 LinkedIn recommendations, posts, and comments ✍️ Any highlighted text 🌁 Any screenshot
Does a similar job
all alternatives →

Testimonial Chrome Extension - Feedspace2025 · feedspace.io · ▲70Import reviews from LinkedIn, YouTube, Instagram, and more

MarkUp for Chrome2020 · chromewebstore.google.com · ▲387Turn any URL into a canvas for feedback from your browser
Recall Browser Extension2023 · recall.it · ▲293Summarize, connect and organize ALL your online content
More growth this month
the category →
wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 11d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, March 2023
the whole month →

Typing Mind▲826Chat with AI using your API keys. Pay only for what you use. ChatGPT, Gemini, Claude, and other LLMs supported. The best chat LLM frontend UI for all AI models.
AI · 2023 · typingmind.com

Sequoia▲726Personalized men's sexual health with on-demand experts
Life & fun · 2023 · sequoia.health
- BI
I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
AI · 2023 · genmon.github.io