Should I Build It Should I Build It
18 Mar 2025
Artificial Intelligence Fitness Health & Fitness

An AI-driven tool that generates personalized workout plans based on ...

...user fitness level, goals, and available equipment, adapting in real-time based on performance feedback and progress tracking.

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

Your idea for an AI-driven personalized workout tool enters a very active market. We found 28 similar products, indicating high confidence that this type of tool resonates, but also highlighting significant competition. Engagement with these similar tools is moderate (average 4 comments per launch), suggesting people are interested enough to discuss them, but perhaps not passionately so across the board. Critically, you're in a 'Freemium' category – analysis of similar products shows users often like and use these tools but are generally hesitant to pay. Our data didn't pick up strong 'use' or 'buy' signals from comments on similar products, which aligns with this freemium challenge. Therefore, while there's clear user interest, your path forward requires sharp differentiation from the many existing options and a well-thought-out strategy to convince users your specific value is worth paying for.

Recommendations

  1. Conduct deep competitive analysis, focusing on the 28 similar products identified. Don't just list features; analyze their free offerings, monetization strategies, user reviews, and specifically the criticisms raised (e.g., lack of true personalization, generic advice, poor free trial value). Identify a specific niche (e.g., users with specific equipment limitations, post-rehab fitness, performance athletes) where current solutions are weakest and tailor your initial MVP to demonstrably serve them better.
  2. Define your 'unfair advantage' – the 'AI adapting in real-time based on performance feedback' needs to be more than a feature list item. How exactly does it work? What data does it use (user input, wearable data, exercise completion rates)? Validate this core mechanic rigorously. Address competitor criticisms about AI effectiveness by being transparent about how your AI provides superior, personalized results compared to static plans or simpler algorithms.
  3. Map your monetization strategy directly to unique value, learning from the 'Freemium' context and competitor critiques. What specific, high-value outcomes or features (e.g., advanced progress analytics, hyper-personalized injury avoidance/management adaptations, integration with diverse health data sources, AI-powered form correction feedback if feasible) will be exclusively premium? Clearly articulate why the free version is useful but the paid version is essential for achieving specific, significant goals.
  4. Explore monetization beyond simple individual freemium tiers early on. Could you target personal trainers, physical therapists, gyms, or corporate wellness programs with a tailored B2B offering? Offering personalized setup help or expert review of AI-generated plans (as suggested for the Freemium category) could also be a premium service tier.
  5. Plan your feature roadmap strategically based on competitor feedback. Prioritize nailing the core adaptive workout experience first. Then, address common requests like robust multi-platform support (not just Apple), nutrition tracking integration, advanced goal setting, and potentially social/community features, ensuring they enhance your core differentiator, not just bloat the app.

Questions

  1. Considering the 28 competitors and common criticisms about generic AI plans, what tangible evidence will you provide to users demonstrating that your 'real-time adaptation' leads to measurably better fitness outcomes (e.g., faster progress, fewer plateaus, better adherence) compared to less dynamic alternatives?
  2. Given the strong resistance to payment in this 'Freemium' category, precisely which features will be free versus paid, and how will you design the user experience to make the value proposition of upgrading undeniably clear without crippling the free version to the point of uselessness (a common criticism of competitors)?
  3. Beyond generating plans, how will your AI account for qualitative user feedback (e.g., 'that exercise felt too easy/hard', 'my knee felt sore after that session') and potential external factors (e.g., poor sleep, stress) to make its 'real-time adaptation' truly holistic and responsible, addressing concerns seen about potential negative impacts?

Your are here

Your idea for an AI-driven personalized workout tool enters a very active market. We found 28 similar products, indicating high confidence that this type of tool resonates, but also highlighting significant competition. Engagement with these similar tools is moderate (average 4 comments per launch), suggesting people are interested enough to discuss them, but perhaps not passionately so across the board. Critically, you're in a 'Freemium' category – analysis of similar products shows users often like and use these tools but are generally hesitant to pay. Our data didn't pick up strong 'use' or 'buy' signals from comments on similar products, which aligns with this freemium challenge. Therefore, while there's clear user interest, your path forward requires sharp differentiation from the many existing options and a well-thought-out strategy to convince users your specific value is worth paying for.

Recommendations

  1. Conduct deep competitive analysis, focusing on the 28 similar products identified. Don't just list features; analyze their free offerings, monetization strategies, user reviews, and specifically the criticisms raised (e.g., lack of true personalization, generic advice, poor free trial value). Identify a specific niche (e.g., users with specific equipment limitations, post-rehab fitness, performance athletes) where current solutions are weakest and tailor your initial MVP to demonstrably serve them better.
  2. Define your 'unfair advantage' – the 'AI adapting in real-time based on performance feedback' needs to be more than a feature list item. How exactly does it work? What data does it use (user input, wearable data, exercise completion rates)? Validate this core mechanic rigorously. Address competitor criticisms about AI effectiveness by being transparent about how your AI provides superior, personalized results compared to static plans or simpler algorithms.
  3. Map your monetization strategy directly to unique value, learning from the 'Freemium' context and competitor critiques. What specific, high-value outcomes or features (e.g., advanced progress analytics, hyper-personalized injury avoidance/management adaptations, integration with diverse health data sources, AI-powered form correction feedback if feasible) will be exclusively premium? Clearly articulate why the free version is useful but the paid version is essential for achieving specific, significant goals.
  4. Explore monetization beyond simple individual freemium tiers early on. Could you target personal trainers, physical therapists, gyms, or corporate wellness programs with a tailored B2B offering? Offering personalized setup help or expert review of AI-generated plans (as suggested for the Freemium category) could also be a premium service tier.
  5. Plan your feature roadmap strategically based on competitor feedback. Prioritize nailing the core adaptive workout experience first. Then, address common requests like robust multi-platform support (not just Apple), nutrition tracking integration, advanced goal setting, and potentially social/community features, ensuring they enhance your core differentiator, not just bloat the app.

Questions

  1. Considering the 28 competitors and common criticisms about generic AI plans, what tangible evidence will you provide to users demonstrating that your 'real-time adaptation' leads to measurably better fitness outcomes (e.g., faster progress, fewer plateaus, better adherence) compared to less dynamic alternatives?
  2. Given the strong resistance to payment in this 'Freemium' category, precisely which features will be free versus paid, and how will you design the user experience to make the value proposition of upgrading undeniably clear without crippling the free version to the point of uselessness (a common criticism of competitors)?
  3. Beyond generating plans, how will your AI account for qualitative user feedback (e.g., 'that exercise felt too easy/hard', 'my knee felt sore after that session') and potential external factors (e.g., poor sleep, stress) to make its 'real-time adaptation' truly holistic and responsible, addressing concerns seen about potential negative impacts?

  • Confidence: High
    • Number of similar products: 28
  • Engagement: Medium
    • Average number of comments: 4
  • Net use signal: 13.6%
    • Positive use signal: 20.5%
    • Negative use signal: 6.9%
  • Net buy signal: -4.9%
    • Positive buy signal: 0.7%
    • Negative buy signal: 5.6%

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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asherdorianthorne

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Awesome launch, @cristianmoisei ! Fit.AI's ultra personalized workout plans sound perfect for staying motivated and accountable. I love the idea of working out with friends and getting notified when they finish a session—it adds a fun social element! Do you have plans to add video tutorials for exercises to ensure proper form and technique?

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Awesome project, @cristianmoisei ! The ultra personalized workout plans powered by AI sound like a game changer for anyone looking to improve their fitness journey. I love the idea of competing with friends and getting notifications—that adds a fun element to working out! Plus, the integration with Apple Health is a great touch for keeping track of my progress. Excited to try it out and use the promo code. Upvoting this for sure! 💪

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Hey HN,I’ve built and bootstrapped PARIAN. It designs personalized workouts so you reach your fitness goal quickly and efficiently. By training only with goal-specific exercises tailored to your experience level and preferred equipment (or just bodyweight), you skip the wasted time, effort, and disappointment. No more doom scrolling exercises, being overwhelmed by how to plan them, and being bombarded by noise from all the fitfluencers. You workout with confidence knowing each exercise is intentional and each session is moving you forward. Plus, you have the freedom to customize your program at any moment, ensuring the training is enjoyable - thus ensuring consistency.I believe fitness is not a lifestyle, but a core part of life and wanted to create something that will assist this pursuit of going after your fitness potential. And instill the excitement of all the new doors that will open up - bouldering, boxing, breakdancing, you name it. Being non technical I naturally leaned towards no-code platforms. Started building on Bubble in 2022 and launched the demo that December. I got some assistance from friends with html, css, and js along the way and officially launched the MVP in Feb 2023.The fitness app space is crowded, and ones that tailor workouts already exist—so why build this? Saturation is demand, and it’s easier to stand out in a crowd than to create your own market. When you break it down, most of the apps aren't personalized. Majority are workout trackers/loggers or just have a selection of pre-made workouts.The few apps that do personalize workouts create subpar programs with surface level tutorials and lack support, guidance, and customization.Additionally, even the most popular apps in this space have: — Questionable exercise selection — Exercise redundancy in the workouts — Excessive training volume — Require constant input throughout workoutsThe gap between 0 support and minimal structure (youtube/pdf plans), and hiring a personal trainer at a gym for hundreds of dollars is huge. While both have their time and place, I believe most would actually benefit working out with an app. Training from home, with bodyweight/available equipment is the fastest way to start that fitness journey - leveraging the device you spend the most time with. PARIAN is more than a workout tracker & planner - it’s a savvy training partner that guides you through personalized workouts and expedites your fitness journey.Just shipped an update, try a demo workout here — https://parianlabs.com/demo-workoutsFollow our journey — @parianlabs on instaFeedback and support is much appreciated!

Users expressed frustration over a hidden fee, account deletion issues, and unclear value proposition. Some found the UI unresponsive and had trouble with mobile layout. Positive feedback included excitement for StretchLab, preference for generated videos, and willingness to pay despite script requirements. Minor issues with navigation and demo links were noted. Comparisons with other services' pricing and a dramatic endorsement were also mentioned.

Users criticized the product for a hidden $10 fee post-account creation, account deletion issues, and lack of UI feedback for deletion. The value proposition was deemed unspecific and lacking personalization. There were complaints about the gym's bench shortage, excessive padding affecting mobile display, poor mobile optimization, and script requirements from major platforms. The navigation bar was reported as too squashed on desktop, and the $10/month fitness service was called delusional.

https://news.ycombinator.com/user?id=IvanG96

This is great feedback! You're 100% right that the value proposition is personalization and it's crucial to effectively communicate this to users in a tangible way.I'm actually now going to implement a $1 1-day trial. Prior to discovering YC I was initially was going to have the webapp free, but as they often preach free products mute signs if you're actually hitting the PMF. The trial will act as a filter between those who are genuinely curious about the product, and those who are just browsing and probably wouldn't have ever paid.Your dream app literally sounds like PARIAN after the next update. The app currently does most of what you've listed:- personalized plan based on profile, custom goals and equipment - easily customizable workout plan that you can add/remove exercises from - comparable exercise suggestions (coming soon)The idea I have for this comparable exercise suggestion is you will be able to do it in just a few seconds with a feature called "Swap" right in the workout pageSay you're in a gym and the bench press is taken, you will be able to tap on the Swap button and see a pop up where you can swap out either the equipment (the bench press) for something comparable like dumbbells + bench, or an entirely different exercise that still targets the chest like cable chest flyesThese exercises will also be ranked from most comparable to least, and you will have all the freedom to swap out to any you like.Same for if you have sore glutes and don't want to do RDLs, just pull up the swap feature and swap the RDLs out for Hip Thrusts, Hip Extensions, etc.

https://news.ycombinator.com/user?id=Karupan

This looks great! StretchLab looks like exactly the kind of app I’ve had in mind for a while (thought of using recorded video, but your generated ones are better). Awesome work, you probably have another subscriber.

https://news.ycombinator.com/user?id=nevon

If that's what you're going for, I will definitely keep an eye on your app for the future. I'm literally typing this from the gym, and there's 2 benches available for 4 people that all want to use them (me being one of them)

https://news.ycombinator.com/user?id=IvanG96

I appreciate it! We're going to have videos (and audio tutorials) in the coming update.

https://news.ycombinator.com/user?id=IvanG96

Check out the Stretch Lab too, it saves lives!

https://news.ycombinator.com/user?id=IvanG96

Thank you! With the launch of the AI chatbots, I want to separate PARIAN and provide a comprehensive and super easy experience - beyond just a good list of workouts for a goal.Email me ivan@parianlabs.com and let me know what program you created, and I'll send you the workouts. Would love to hear about how you're progressing with the program and your results.

https://news.ycombinator.com/user?id=4b11b4

Wow, stretch lab might have just saved my life.

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Free AI tailored workout generator

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The Show HN product received mixed to negative feedback. Users criticized the generic advice, poor execution, and bad programming. The app's font was deemed unreadable, and there were concerns about forced engagement and the necessity of an email to generate workouts. The email field's lack of validation, unrealistic advice from ChatGPT, and concerns about rate-limiting and API costs were also mentioned. Some users questioned the value of the service, calling it a mere ChatGPT wrapper, and there were requests to improve the poorly designed interface.

Users criticized the product for inappropriate suggestions based on age and weight, generic and unrealistic advice, and poor execution with unnecessary jargon. The interface was deemed poorly designed, and the font unreadable. The requirement for an email was a major turnoff, and some questioned the value of the service. Technical issues included a non-working program, rate-limiting, and API costs.

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AI Workout Generator - Free and fast AI tailored workout generator

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Users find the tool cool and useful, particularly for gym-related information. There is interest in AI customization for tailored routines. Suggestions include adding progress tracking and integration with fitness apps to enhance functionality.

The primary criticism revolves around the lack of clarity regarding whether the routines are tailored for specific fitness goals. Users are questioning the level of personalization offered by the product.

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AI Running Trainer - AI-powered runningcoach for personalized training & feedback

01 Oct 2024 Wearables Apple Health & Fitness

AI Running Trainer analyzes your workout data to provide personalized training plans and performance feedback. Automatically generate interval workouts, improve technique, & track progress. Seamlessly integrates with HealthKit for a smarter running experience.

AI for personalized running plans sounds awesome; congrats on launch!

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