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What is Storm it?

Storm It is a user-friendly app that enables individuals to compile and disseminate their ideas through Tweetstorms on Twitter. For those who struggle with Twitter's character limitations, whether they be 140 or 280 characters, Storm It provides a perfect workaround. The app empowers users to compose, structure, save drafts, and preview their tweetstorms prior to sharing them with their followers. Moreover, the PRO features accessible through in-app purchases offer additional functionalities like managing tweet breaks, toggling between multiple Twitter accounts, deleting tweetstorms, personalizing styles, and effortlessly responding to tweets. We take pride in offering outstanding solutions for our clients, as we also develop high-quality revenue-generating applications that achieve significant visibility in App Stores, on major websites, and across various media outlets. Additionally, we distinguish ourselves as one of the few firms equipped to oversee every stage of product development, from the initial idea to the final launch. This comprehensive service model guarantees that we effectively address the varied needs of our clients throughout the entire process. By continuously innovating and refining our offerings, we strive to exceed expectations and foster long-lasting partnerships.

What is Foller.me?

Foller.me serves as a comprehensive analytics platform tailored for Twitter, offering detailed insights into any public Twitter profile. It swiftly gathers real-time data on various elements such as topics, mentions, hashtags, follower statistics, and geographical information. By accessing the user's profile alongside their latest tweets, we conduct an analysis that visualizes topic prevalence through "tag clouds," making it easy to identify the most commonly used terms. In addition to standard Twitter information, we provide unique insights like the user's joining date, timezone, and follower-to-following ratio. Foller.me simplifies the decision-making process of whether to follow an account, streamlining it into a quick and efficient evaluation. The information section presents publicly accessible data regarding the chosen Twitter account, including the user's join date and timezone, alongside other pertinent details. We also offer a concise overview of the latest tweets and their content, showcasing various aspects such as tweets, retweets, hashtags, replies, mentions, links, and media. Ultimately, Foller.me significantly enriches your Twitter engagement by delivering essential data that aids in making well-informed choices. With this tool, you can enhance your interactions and connections on the platform, ensuring a more rewarding Twitter experience.

Media

Media

Integrations Supported

X (Twitter)

Integrations Supported

X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Storm it

Company Location

India

Company Website

nfnlabs.in/storm-it/

Company Facts

Organization Name

Foller.me

Date Founded

2009

Company Website

foller.me/

Categories and Features

Social Media Management

Automated Publishing
Brand Tracking
Content Management
Customer Engagement
Multi-Account Management
Multi-User Collaboration
Post Scheduling
Reporting/Analytics
Social Media Monitoring

Categories and Features

Social Media Analytics Tools

Campaign Analytics
Competitor Monitoring
Customizable Reports
Engagement Tracking
Influencer Tracking
Multi-Channel Data Collection

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