11 Jun 2025
Social Media

Get viral alert on the recent posts from social media accounts we ...

...follow

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.


Your are here

Your idea of getting viral alerts from social media accounts falls into a crowded space where many similar tools exist, which we call a 'Swamp'. The fact that we found 9 similar products suggests significant competition. Engagement with these existing products is low, with an average of only 2 comments, so it is very unlikely that people are paying for these. Without positive use or buy signals, it's tough to gauge if there's real demand or if these solutions haven't quite hit the mark. The core issue is whether your approach offers a genuine improvement or addresses unmet needs compared to current offerings, or you will just be adding more noise to an already saturated market. Unless you can radically differentiate, it might be difficult to gain traction.

Recommendations

  1. First, deeply investigate why the existing solutions in the "Swamp" category haven’t become indispensable. What are their shortcomings? Do they lack accuracy, speed, or customization options? Understanding their failures is critical before investing further.
  2. Identify a very specific niche or user group that current tools are not serving well. For example, focus on a particular industry, social media platform, or type of content. This targeted approach will help you create a more tailored and valuable solution, rather than a generic tool that tries to be everything to everyone.
  3. Rather than building a standalone product, explore the potential of creating tools or integrations for existing social media management platforms. This could be a less risky approach, leveraging established user bases and workflows, and could also generate revenue faster.
  4. Consider if there's a more promising problem adjacent to viral alerts. For example, instead of just alerting users to viral content, could you help them understand why it went viral and how they can replicate that success? This moves beyond simple notifications and provides actionable insights.
  5. Based on the ViralSort criticism, ensure your app's core functionality and purpose are crystal clear to new users. Implement a simple, intuitive user interface and provide clear onboarding instructions. Use tooltips, examples, and guided tours to illustrate how the app works and the value it offers. Consider adding short explainers, maybe as short videos.
  6. Given the users confusion around ViralSort, proactively solicit feedback on the clarity of your product's description and value proposition. Conduct user interviews and usability tests to identify areas of confusion and improve the user experience. Pay close attention to first impressions and tailor your messaging to address common misunderstandings.
  7. Carefully consider how your viral alert system will adapt to new trends, algorithms, and platform updates. Develop a flexible architecture that allows for easy integration of new features and support for emerging platforms. This proactive approach will help your product stay relevant and competitive in the ever-changing social media landscape. You should provide support for X, LinkedIn, YouTube, and Bluesky as those were the most requested expansions.

Questions

  1. What unique data sources or algorithms will you use to identify viral content before it becomes widely known? How can you provide a true early-mover advantage?
  2. Given the low engagement with similar products, how will you incentivize users to not only sign up but also actively use and integrate your alerts into their daily workflow? What specific problem will you solve?
  3. How can you leverage AI to predict content virality, not just report on it? Can you provide insights into the emotional drivers and content elements that contribute to a post's success, enabling users to create their own viral content?

Your are here

Your idea of getting viral alerts from social media accounts falls into a crowded space where many similar tools exist, which we call a 'Swamp'. The fact that we found 9 similar products suggests significant competition. Engagement with these existing products is low, with an average of only 2 comments, so it is very unlikely that people are paying for these. Without positive use or buy signals, it's tough to gauge if there's real demand or if these solutions haven't quite hit the mark. The core issue is whether your approach offers a genuine improvement or addresses unmet needs compared to current offerings, or you will just be adding more noise to an already saturated market. Unless you can radically differentiate, it might be difficult to gain traction.

Recommendations

  1. First, deeply investigate why the existing solutions in the "Swamp" category haven’t become indispensable. What are their shortcomings? Do they lack accuracy, speed, or customization options? Understanding their failures is critical before investing further.
  2. Identify a very specific niche or user group that current tools are not serving well. For example, focus on a particular industry, social media platform, or type of content. This targeted approach will help you create a more tailored and valuable solution, rather than a generic tool that tries to be everything to everyone.
  3. Rather than building a standalone product, explore the potential of creating tools or integrations for existing social media management platforms. This could be a less risky approach, leveraging established user bases and workflows, and could also generate revenue faster.
  4. Consider if there's a more promising problem adjacent to viral alerts. For example, instead of just alerting users to viral content, could you help them understand why it went viral and how they can replicate that success? This moves beyond simple notifications and provides actionable insights.
  5. Based on the ViralSort criticism, ensure your app's core functionality and purpose are crystal clear to new users. Implement a simple, intuitive user interface and provide clear onboarding instructions. Use tooltips, examples, and guided tours to illustrate how the app works and the value it offers. Consider adding short explainers, maybe as short videos.
  6. Given the users confusion around ViralSort, proactively solicit feedback on the clarity of your product's description and value proposition. Conduct user interviews and usability tests to identify areas of confusion and improve the user experience. Pay close attention to first impressions and tailor your messaging to address common misunderstandings.
  7. Carefully consider how your viral alert system will adapt to new trends, algorithms, and platform updates. Develop a flexible architecture that allows for easy integration of new features and support for emerging platforms. This proactive approach will help your product stay relevant and competitive in the ever-changing social media landscape. You should provide support for X, LinkedIn, YouTube, and Bluesky as those were the most requested expansions.

Questions

  1. What unique data sources or algorithms will you use to identify viral content before it becomes widely known? How can you provide a true early-mover advantage?
  2. Given the low engagement with similar products, how will you incentivize users to not only sign up but also actively use and integrate your alerts into their daily workflow? What specific problem will you solve?
  3. How can you leverage AI to predict content virality, not just report on it? Can you provide insights into the emotional drivers and content elements that contribute to a post's success, enabling users to create their own viral content?

  • Confidence: High
    • Number of similar products: 9
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 18.6%
    • Positive use signal: 18.6%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

Similar products

Relevance

Webhooks for Social Media (Alerts.boo)

10 Mar 2024 Social Media

Alerts.boo creates webhooks for any public social media account. For example, when an Instagram account posts send me a realtime alert.3 months ago I was looking for this functionality and others had asked for it too. I couldnt find any solution so I made one. Whenever a certain instagram account uploads a story, post or reel, notify me in realtime. This is already possible via push notifications to your mobile phone, Alerts.boo just extends it as an API to your webhook as a cloud scaleable alternative.I will be adding Twitter & other social networks soon. Some great use cases from users include:- curating custom social media feeds - being a early commenter on viral posts - tracking a list of industry thought leaders - marketing automation - answering customer questions online - build with it in your own appDoes this sound like something you'd use? Any networks you'd like to see?Thanks HackerNews for letting me share! :)https://alerts.boo


Avatar
2
2
Relevance

Alerts.boo - Webhooks for Social Media

11 Mar 2024 Social Media API Marketing

Alerts.boo creates webhooks for any public social media account. Eg. When an Instagram account posts send me a realtime alert. Also available for Twitter & more. A cloud alternative to the social media push notifications sent to your phone.


Avatar
1
1
Relevance

Follow HN users, receive notifications on Telegram

11 Feb 2024 Telegram

Just implemented a new feature for the HackerNews Alerts Bot. You can now follow HackerNews users to receive notifications about new posts and/or comments made by them.Other Telegram notification features include:• Comment replies• Keyword monitoring• New comments in a thread• Stories by domain name

Excited to try, likes HN's layered social features.


Avatar
2
1
100.0%
1
2
100.0%
Relevance

ViralSort - Discover Instagram content that worked for your competitors

ViralSort is a Chrome extension that lets you sort Instagram Reels based on likes, comments, and views. It helps you discover trending content effortlessly for better content planning and engagement strategies.

ViralSort's Product Hunt launch garnered positive feedback, with users congratulating the team and praising its utility for Instagram content optimization and competitor analysis. Users appreciate its simplicity and potential for social media managers. Key requests include expanding platform support to X, LinkedIn, YouTube, and Bluesky. Questions arose about the business model and the ability to sort other accounts besides the user's. Some users found the concept intriguing but expressed initial confusion about its functionality, while others highlighted its usefulness for beginners understanding algorithms.

Users expressed confusion regarding the app's core functionality and purpose. Several questioned its utility, admitting a lack of understanding about the platform's concept. There were also inquiries about specific features, such as AI-driven trend prediction and content suggestions, as well as hashtag and optimal posting time insights. Some users were surprised this functionality isn't already integrated into existing video streaming applications.


Avatar
364
18
16.7%
18
364
16.7%
Top