SwarmStack is an AI agent that guides you from product planning to commercialization. It provides tailored recommendations with innovative and proven solutions, helping you define goals, create step-by-step plans, and take your idea to market efficiently.
Hi, @nancy_autonomous , we build our own workflow for the agent and it is flexible to customize, you can book an online meeting with us! Thanks so much for your support!
@nancy_autonomous Thank you for your support, Nancy! SwarmStack is built on the Epsilla platform, which enables us to create a highly adaptable and specialized experience. The platform’s configurable workflows and flexible UI allow us to fine-tune the agent based on user needs and feedback, making it ideal for guiding the product-building journey. Unlike general-purpose AI chat tools, SwarmStack is tailored to provide targeted, actionable recommendations through curated ProductHunt tools at each stage. This adaptability means we can continuously enhance the experience, ensuring SwarmStack evolves alongside user needs.
Thank you all so much for the incredible support and feedback on SwarmStack! 🚀 We’re beyond excited to see so many indie hackers, startups, and product enthusiasts finding value in our AI assistant.
SwarmStack was created with the mission of simplifying product development, from idea to commercialization, and your enthusiasm confirms we're on the right path. This is just the beginning—we’re constantly listening to your insights to make SwarmStack even better.
Whether you're testing out the platform, sharing feedback, or cheering us on, we’re grateful for each of you. Your support motivates us to keep pushing forward and innovating. Let’s continue building and growing together! 💪✨
congrats on the launch! Seems to give pretty good inspo. I'd maybe suggest to dial down the number of product suggestions though – it was suggesting a load of kinda similar products as the product I asked it to work on, but a lot looked pretty bad and had not many upvotes.
@jonnymiles Thank you for the feedback! We've just updated our recommendation algorithm to include only products with over 50 upvotes, ensuring higher quality and relevance in the suggestions.
SwarmStack is a fantastic tool for product developers! 🚀 The AI-driven guidance from ideation to commercialization makes the entire journey seamless and efficient. I love how it refines concepts, conducts in-depth research, and recommends the best tools from Product Hunt. Excited to try out SwarmStack and see how it can accelerate my product development process. Great job to the entire team!
Great work, @renchu_song ! SwarmStack is a game-changer for indie hackers. It streamlines the product development process from idea to market, offering tailored recommendations and tools. Looking forward to using it to refine my product ideas and execute plans efficiently. Thanks for making this free resource available!
Don't be fooled by the mid-journey-esque branding there is a lot of power under the hood. I used one of the templates and it gave a lot of great information and advice. I can imagine as it grows it will become a lot more powerful especially when it gathers information from additional sources. I know of a few competitors that should have been shown but it only showed previous PH launches. When the branding is nicer and there are more sources of information I can see this being very popular.
@ty_robb Thank you so much for your support, Tyrone! You’re absolutely spot-on—right now, we’re still in the early stages, and there’s plenty of room to fine-tune the recommendation and ranking systems. We're actively working to improve these features, and as we gather more data and integrate additional sources, you'll see even smarter, more tailored recommendations coming your way. Stay tuned; we’re just getting started, and we have exciting enhancements in store!
I was wondering how you handled the LLM that it actually gives useful "recommendations" from what I have built I always saw that all recommendations are a bit repetitive and often result in the same outputs. Meaning you need to feed it the context of what it just recommended to you since it often just gives you the same responses. Any experience with that?
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