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SpeakSharp
AI speech coach providing feedback on delivery, content, etc
I built SpeakSharp because I used to hate public speaking.
Whenever I had to present, I’d rush through everything, lock up, lose my train of thought, and walk away wondering how badly I came across. The worst part was not actually knowing what I was doing wrong other than a vague sense that things were off. Because I couldn’t find a simple way to practise speaking and get honest feedback on my delivery, I decided to build it myself.
When I started, I only knew basic python and had no clue how SaaS products worked. Early versions of SpeakSharp were messy, reliant on AI, using one massive main.py file. Over time, I learned how APIs, FastAPI, databases, authentication, audio processing, etc. worked, and turned it into a real product.
SpeakSharp is designed to help people practise speeches, presentations, interviews, and conversations with AI-powered feedback on things like pacing, clarity, structure, and delivery. It's structured like a chat where you're given specific feedback after each attempt so you can rapidly improve how you come across.
This is still early, and I’m continuing to improve it every day, so I’d love feedback from anyone who tries it. The AI feedback is especially in early progress, but I want to take it to market to see whether people are actually interested. I still have tons of features planned, particularly around getting AI to emulate human conversations to train soft skills.
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About SpeakSharp on Product Hunt
“AI speech coach providing feedback on delivery, content, etc”
SpeakSharp was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #141 on the daily leaderboard. A free browser-based speech coach that helps you improve your speaking delivery, pacing, clarity, and confidence. Instant and easy to use.
SpeakSharp was featured in Education (78.6k followers), Delivery (7k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 32.6k products, making this a competitive space to launch in.
Who hunted SpeakSharp?
SpeakSharp was hunted by Ben. 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.
Want to see how SpeakSharp stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ben
I built SpeakSharp because I used to hate public speaking.
Whenever I had to present, I’d rush through everything, lock up, lose my train of thought, and walk away wondering how badly I came across. The worst part was not actually knowing what I was doing wrong other than a vague sense that things were off. Because I couldn’t find a simple way to practise speaking and get honest feedback on my delivery, I decided to build it myself.
When I started, I only knew basic python and had no clue how SaaS products worked. Early versions of SpeakSharp were messy, reliant on AI, using one massive main.py file. Over time, I learned how APIs, FastAPI, databases, authentication, audio processing, etc. worked, and turned it into a real product.
SpeakSharp is designed to help people practise speeches, presentations, interviews, and conversations with AI-powered feedback on things like pacing, clarity, structure, and delivery. It's structured like a chat where you're given specific feedback after each attempt so you can rapidly improve how you come across.
This is still early, and I’m continuing to improve it every day, so I’d love feedback from anyone who tries it. The AI feedback is especially in early progress, but I want to take it to market to see whether people are actually interested. I still have tons of features planned, particularly around getting AI to emulate human conversations to train soft skills.