I m the founder of SUN, GenAI Audio Learning App (backed by a top VC firm, the announcement is coming ;) We re building something big: a mobile where anyone can generate a personalized audio course on any topic with a single prompt, listen, ask questions, and get real-time answers. It s the future of learning, on-demand, interactive, and deeply personal.
Now comes the hard part
We re looking for a founding full-stack mobile engineer. Preferably, someone who has experience with LLMs and with:
I ve seen so much advice about partnering with well-known Hunters for your PH launch. But does it really move the needle? Anyone have real numbers or war stories? Also, how to find and approach them?
Hey PH community! In two weeks, I m launching my app, SUN, here on Product Hunt. It s been a journey, and I m now focused on how to get meaningful visibility and upvotes. I ve been digging into what others have done and came across these 5 common strategies:
DM outreach on LinkedIn
Joining Product Hunt-focused WhatsApp groups
Engaging in Facebook groups for PH launches
Running social media ads that link directly to the PH page
Buying Product Hunt ads (starting at $5,000 )
Has anyone here tried any of these?
What worked? What felt like a waste of time or money?
I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!
It used to be fashionable to be "in stealth," but then our collective wisdom shifted to "launch early and launch often." In my experience, there are two good reasons for this:
The first reason is that it's often more important to figure out whether people want what you're building than it is to figure out whether you can build the best possible version of it. Launching early gives you the opportunity to either pivot or iterate quickly. Launching is learning.
It used to be fashionable to be "in stealth," but then our collective wisdom shifted to "launch early and launch often." In my experience, there are two good reasons for this:
The first reason is that it's often more important to figure out whether people want what you're building than it is to figure out whether you can build the best possible version of it. Launching early gives you the opportunity to either pivot or iterate quickly. Launching is learning.
Hi Everyone! Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use. Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs!
Hi Everyone! Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use. Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs!
