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Outshine

Know what to say next in every meeting

Most AI meeting tools tell you what happened afterward. Outshine helps you decide what to say next. It listens to the ongoing discussion and gives you timely, context-aware suggestions on what to ask, clarify, challenge, or contribute—so you can participate with more confidence and move the conversation forward.

Top comment

Hi Product Hunt 👋 I’m Michael, the solo founder behind Outshine. I built Outshine because most AI meeting tools focus on helping people remember what happened after a meeting. But I kept thinking about a different problem: What should I say next while the meeting is still happening? Many professionals understand their work but still struggle to find the right moment to ask a strategic question, challenge an assumption, clarify ownership, or point out a hidden risk. Outshine listens to the ongoing conversation and provides timely, context-aware coaching suggestions to help you participate more effectively. It’s not intended to replace your judgment or speak for you. The goal is to help you notice useful opportunities to contribute when they matter. I built the first version as a solo founder using Flutter, Firebase, and Gemini, and I’m still actively improving the coaching quality and timing. I’d especially love feedback on: • Would you use coaching like this during a real meeting? • Which types of suggestions would be most valuable? • How frequently should the coaching update without becoming distracting? Thanks for checking out Outshine. I’ll be here reading every comment and answering questions.

About Outshine on Product Hunt

Know what to say next in every meeting

Outshine was submitted on Product Hunt and earned 5 upvotes and 5 comments, placing #137 on the daily leaderboard. Most AI meeting tools tell you what happened afterward. Outshine helps you decide what to say next. It listens to the ongoing discussion and gives you timely, context-aware suggestions on what to ask, clarify, challenge, or contribute—so you can participate with more confidence and move the conversation forward.

On the analytics side, Outshine competes within Productivity, Meetings and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Outshine performed against the three products that launched closest to it on the same day.

Who hunted Outshine?

Outshine was hunted by Michael Shen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Outshine including community comment highlights and product details, visit the product overview.