What an amazing tool for us humans ! I just tried using Fireside AI on the website, and my very first thought was: “How is this different from ChatGPT?” As soon as I started, the difference became clear.This feels like one of the most innovative tools for anyone working alone—especially those seeking both emotional and logical solutions to challenges, or simply wanting to broaden their perspective and explore possible roadmaps/ frameworks for their journey.
What stood out most to me was how natural it felt—almost like having a coworker (or even multiple coworkers, since you can choose up to three personas) to bounce ideas off that's 'tailored to my need'. It’s like capturing the essence of reading a great book but skipping all the unnecessary filler. The only drawback I’ve noticed so far at the moment is speed , but aside from that, I’m genuinely thrilled to be living in 2025 and able to use this tool for free!
Hi Product Hunt! 👋
Super excited to share Fireside with you all!
What is Fireside?
Fireside is a new kind of search engine. Instead of one generic answer, you get a personalized team of AI experts (grounded in the world's best thinkers) who collaborate to tackle your problem.
Why we built this:
The best insights don't come from a single source. They emerge when diverse perspectives collide.
But today, few of us have access to the world's greatest minds. And even with AI tools, there's no easy way to discover which minds are most relevant to your specific challenge, or to watch them debate and synthesize ideas together.
What makes Fireside different:
1. Smart discovery: Ask any question and we show you the most relevant expert minds and how they could help
2. Choose your team: Pick from thinkers across disciplines (entrepreneurs, scientists, artists, philosophers)
3. Watch them collaborate: See your team debate in a dynamic Fireside chat, creating insights you won't find anywhere else
How it works:
We've created hundreds of AI "Experts" based on our own interpretations of frameworks, ideas, and mental models derived from publicly available sources mapped to your favorite books, podcasts, academic papers, and articles. These aren't reproductions of the original works, but rather our distillation of the key insights and thinking patterns.
When you ask a question, we assemble the perfect team from this catalog and facilitate a real collaborative discussion.
We're just getting started. Our catalog is growing daily, and we're constantly improving how our experts think and collaborate.
Try it out and let us know what you think! Drop any feedback or questions in the comments. We will make sure to answer everyone's questions.
Thanks all!🔥
-- Kai and Saurav
This is awesome! How have you gotten value in your personal life from this? Any general patterns or themes that you find this to be more helpful for? Any examples?
@matthew_huang Thanks Matt! The users we’ve spoken with have said they get value in three main ways:
• Big decisions — when there isn’t a single right answer, but multiple perspectives help uncover different angles to the problem.
• Creative work — pulling ideas across disciplines to unlock new ways of looking at the same problem.
• Learning fast — surfacing mental models from knowledge content quickly and efficiently, without you having to do the hard work of discovery yourself.
Recent personal example:
I'm not great at building habits so I asked it “How do I build habits that stick?” This is what I got from a single session:
• Psychology (Lisa Feldman Barrett, How Emotions Are Made): Emotions are constructed predictions. I treat “I don’t feel like it” as a prediction my brain is making about energy and cost. I improve my “concept granularity” (naming the exact affect) and tune the body budget before the habit: water, one minute of breathing, lights down. Discomfort gets recategorized as “effort sensations,” not a stop signal.
• Biology (Max Bennett, A Brief History of Intelligence): Action selection runs through basal ganglia loops trained by reward-prediction error. I keep the cue constant (same time and context), make the behavior tiny so gating is easy, and pair it with an immediate, reliable reward to shape the value function. I protect sleep for consolidation so the sequence “chunks.”
• Systems lens (Andrew Chen, The Cold Start Problem): I design for early-stage fragility: solve the Day-1 activation problem first, define a single retention metric (reps per week), and remove “churn” with a failure-recovery rule (never miss twice). Once the loop runs without extra willpower, I scale duration.
One tiny habit, one fixed cue, one fast reward, one metric. Fireside gives me that three-angle plan in minutes, so I can actually run a real 7-day trial with achievable outcomes, and that I can iterate on until the habit becomes self-propelling. Compare that to what kind of response you would get from asking ChatGPT, and the difference is stark.
Fireside Ai provides a unique approach to learning by curating mentors across different expertises to assist in discussion and problem solving. This is particularly useful when I asked it complex questions about investment frameworks and balancing of risks in equity portfolios. I’ll continue to keep an eye out on this new product to see where we can fit this into our Ai stack as we scale our busines
@anthony_law4 Thanks for the kind words Anthony, love how you're using the product!
I tried interacting with fireside AI by talking to Spark. I like how Spark tried to get as much information from me as possible before getting my tailored set of experts. Each of those selected experts were high quality and provided insightful responses to my questions. Overall I left the chat with what I think were very valuable takeaways.