322 Interest Score
47 Discussions
0.15 Engagement
Jun 2023 Launched
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Double gives sales teams GPT-4 + Plugins super powers: Run thousands of prompts at a time, scrape any website, search Google for up to date information, and find verified emails with a few clicks. All within a familiar spreadsheet. Get started today, for free!

What the Community Said

Hey Product Hunt! 👋 I'm Gonzalo and along with @wesleyyue we’ve built Double: a spreadsheet with GPT-4 and Plugins superpowers. In this spreadsheet you can: 🤖 Run GPT-4 prompts (up to thousands at a time) 🛜 Scrape any websites by simply providing a list of URLs 🔎 Search Google for up to date information to feed into the AI 📧 Find verified emails for your sales leads ✅ Mix all of the above to create workflows that automate repetitive data work And much more! Go checkout the te

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Impressive! Check wikigpt3.com and email me your app details and I can also help get your app listed on my directory and other 100+ AI directories. /

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Congrats on the launch, Gonzalo and team! ICP check feature looks so valuable! LinkedIn seems quite strict on scraping tools. How are you circumventing that?

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@geepytee Congratulations on the launch! Well wishes to Double from Team Zintlr.

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Congrats on launch! Do your scraper do anything to bypass blocking? More often than not these "auto scraper" services get deaded for Cloudflare and other protected pages which how the web is going these days render the feature useless for majority of the web :|

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

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.

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