Waitlisty is a simple form builder that lets you collect user information for your next product launch. When users sign up for your waitlist, they are given a referral code. As they refer more users to your product, they move up your waitlist. You decide how to reward your top waitlist referrers.
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Waitlisty.io's answer:
Waitlisty lets you create a custom email collection form without writing any code. Just sign up, create a project and copy / paste two lines of code into your website. Get up and running in 5 minutes.
Waitlisty.io's answer:
Waitlisty stores your collected emails so you don't have to. We'll never sell you or your submitters' data.
Waitlisty.io's answer:
Our primary audience is someone who doesn't want to bother building their email collection form. Waitlisty's no-code form builder will get you up and running in 5 minutes.
Waitlisty.io's answer:
Waitlisty came about because there needs to be a simpler, more affordable solution for collecting and storing something as basic as an email. Other services are bloated with features. Waitlisty is exactly what you need - a way to collect and store emails for your next product launch. With gamification built in.
Waitlisty.io's answer:
Emails are stored in a secure postgres database. Our frontend is built with NextJS.
Based on our record, monkeylearn seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 7 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
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