04 May 2025
News

an app for STEM-focused news (in 50-60 words), articles and research ...

...paper summarisation in easy language? With clean and minimal UI without any bullshit.

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.


Your are here

You're entering a space with moderate competition, as evidenced by the 13 similar products we found. The good news is that these types of products tend to see high engagement, suggesting there's an audience hungry for STEM news in an accessible format. Your idea of summarizing articles and research papers into easy language with a clean UI aligns well with the desire for simplified information. However, since your idea fits into the "Freemium" category, people appreciate such products, but resist paying for them, therefore focusing on differentiation and monetization should be your priority. Based on analysis of similar products, be careful with summarization accuracy as that can erode trust very fast. Also, you need to be careful and avoid bias in the content.

Recommendations

  1. Given that similar products fall into the "Freemium" category, carefully consider your monetization strategy from the outset. Identify key features that would entice users to upgrade to a paid version. Perhaps that would include advanced summarization options, deeper dives into specific research areas, or ad-free access. Explore charging teams rather than individuals; STEM teams within organizations might be willing to pay for access to curated and simplified research.
  2. Focus on identifying which user segments get the most value from the free version of your app. Are you targeting students, researchers, or general science enthusiasts? Understanding your core user will help you tailor premium features to their specific needs. For instance, students may benefit from study guides based on summarized content, while researchers might appreciate tools for quickly identifying relevant papers.
  3. Based on user feedback from similar products, prioritize accuracy in your summaries. Implement robust fact-checking mechanisms and clearly cite original sources to build trust. Consider adding a feature that allows users to easily access the original research papers for verification.
  4. Differentiate your app by focusing on a specific niche within STEM. Instead of covering all areas, consider specializing in fields like biotechnology, artificial intelligence, or environmental science. This will allow you to curate content more effectively and attract a more targeted audience. Also, be careful with sensationalism, bias and lack of utility/originality as mentioned in the criticism summary.
  5. Test different pricing approaches with small groups of users before a full launch. Offer various subscription tiers with different feature sets and price points. Gather feedback on what users value most and adjust your pricing accordingly.
  6. Actively seek feedback and iterate on your app based on user input. Pay close attention to requests for new features, content categories, and platform support (e.g., Android). Consider creating a public roadmap to demonstrate your commitment to continuous improvement.
  7. Address concerns about the sustainability of rewriting news without compensating original sources. Explore partnerships with reputable STEM publishers or implement a revenue-sharing model to support quality journalism. Consider a freemium model where premium users get access to content directly from the sources.

Questions

  1. What specific problem are you solving for your target audience that existing news aggregators or research databases don't adequately address?
  2. How will you ensure the accuracy and objectivity of your summaries, especially given the potential for bias in AI-powered content generation?
  3. Given the "Freemium" category, what unique value proposition will you offer in the paid version of your app that justifies a subscription fee, and how will you prevent users from simply relying on the free version?

Your are here

You're entering a space with moderate competition, as evidenced by the 13 similar products we found. The good news is that these types of products tend to see high engagement, suggesting there's an audience hungry for STEM news in an accessible format. Your idea of summarizing articles and research papers into easy language with a clean UI aligns well with the desire for simplified information. However, since your idea fits into the "Freemium" category, people appreciate such products, but resist paying for them, therefore focusing on differentiation and monetization should be your priority. Based on analysis of similar products, be careful with summarization accuracy as that can erode trust very fast. Also, you need to be careful and avoid bias in the content.

Recommendations

  1. Given that similar products fall into the "Freemium" category, carefully consider your monetization strategy from the outset. Identify key features that would entice users to upgrade to a paid version. Perhaps that would include advanced summarization options, deeper dives into specific research areas, or ad-free access. Explore charging teams rather than individuals; STEM teams within organizations might be willing to pay for access to curated and simplified research.
  2. Focus on identifying which user segments get the most value from the free version of your app. Are you targeting students, researchers, or general science enthusiasts? Understanding your core user will help you tailor premium features to their specific needs. For instance, students may benefit from study guides based on summarized content, while researchers might appreciate tools for quickly identifying relevant papers.
  3. Based on user feedback from similar products, prioritize accuracy in your summaries. Implement robust fact-checking mechanisms and clearly cite original sources to build trust. Consider adding a feature that allows users to easily access the original research papers for verification.
  4. Differentiate your app by focusing on a specific niche within STEM. Instead of covering all areas, consider specializing in fields like biotechnology, artificial intelligence, or environmental science. This will allow you to curate content more effectively and attract a more targeted audience. Also, be careful with sensationalism, bias and lack of utility/originality as mentioned in the criticism summary.
  5. Test different pricing approaches with small groups of users before a full launch. Offer various subscription tiers with different feature sets and price points. Gather feedback on what users value most and adjust your pricing accordingly.
  6. Actively seek feedback and iterate on your app based on user input. Pay close attention to requests for new features, content categories, and platform support (e.g., Android). Consider creating a public roadmap to demonstrate your commitment to continuous improvement.
  7. Address concerns about the sustainability of rewriting news without compensating original sources. Explore partnerships with reputable STEM publishers or implement a revenue-sharing model to support quality journalism. Consider a freemium model where premium users get access to content directly from the sources.

Questions

  1. What specific problem are you solving for your target audience that existing news aggregators or research databases don't adequately address?
  2. How will you ensure the accuracy and objectivity of your summaries, especially given the potential for bias in AI-powered content generation?
  3. Given the "Freemium" category, what unique value proposition will you offer in the paid version of your app that justifies a subscription fee, and how will you prevent users from simply relying on the free version?

  • Confidence: High
    • Number of similar products: 13
  • Engagement: High
    • Average number of comments: 26
  • Net use signal: 5.5%
    • Positive use signal: 10.7%
    • Negative use signal: 5.2%
  • Net buy signal: -0.9%
    • Positive buy signal: 1.1%
    • Negative buy signal: 2.0%

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.

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When I was in high school, I was eager to learn about science but felt there were very few written sources for non-technical people after a certain point. Now, as a university student with a free summer, I thought a mobile app that uses LLMs to write 5-minute personalized science articles would have been useful to my younger self—and perhaps even to me now. So, I created it through the Microsoft for Startups Program. It’s currently in a freely available closed beta, and I’m continuing to improve it. If you share my passion for science and want to give it a try, click the link above.Thanks for your attention.

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Scientific Dissemination AI App

When I was in high school, I was eager to learn about science but felt there were very few written sources for non-technical people after a certain point. Now, as a university student with a free summer, I thought a mobile app that uses LLMs to write 5-minute personalized science articles would have been useful to my younger self—and perhaps even to me now. So, I created it through the Microsoft for Startups Program. It’s currently in a freely available closed beta, and I’m continuing to improve it. If you share my passion for science and want to give it a try, you can join the beta in the link:https://form.jotform.com/242254487468669If you're interested, I'll be posting my progress on Twitter:https://x.com/agusmarzioniThanks for your attention.

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Simplified material is wrong


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I built a web application called The Summarized Times, which provides concise summaries of the top news articles using the NewsAPI and OpenAI's GPT-4 API. The app fetches the latest headlines, generates short summaries with key bullet points, and displays them in a clean, newspaper-like layout. The app is designed to help users quickly grasp the main points of current news without wading through lengthy articles.Deployed on Fly.io, the app ensures seamless access and performance. It uses SQLite for caching summaries to optimize API usage and improve response times. Check it out and get your news summaries at a glance.


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