So

Sound 100x confident on calls and meetings with a teleprompter

Hacker News

Sound 100x confident on calls and meetings with a teleprompter

I built a beautiful teleprompter to help you sound more confident on cold calls or videos. I Recently had the experience of recording a quick demo for one of my products, and i was taking 3 second long pauses and blanking when the record button hit. I found that a lot of other teleprompters on the market were just too complex or had terrible UI/UX and didn't really allow navigation abilities. I recorded the video on my landing page using my own product and when i say this is "the most confident i have ever sounded" I mean it lol. Check it out and let me know if you guys have any feedback, i plan on adding a ton of other features if i find product market fit, such as, the ability to pivot scripts and handle multiple scenarios, custom shortcuts to handle most common objections.

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Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: calls · Missing: plus, platform, intuitive
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: ios, video · Missing: mobile apps, personal, entrepreneurs
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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