I created a beautiful teleprompter for cold calling and sales

Hacker News

I built a beautiful teleprompter to sound more confident on cold calls or videos. Check it out https://magicscript.vercel.app 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 demo 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.

Visit product View on Hacker NewsApr 25, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

88%88% 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

81%81% 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

54%54% 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

37%37% 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: video · Missing: mobile apps, ios, personal

32%32% 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

14%14% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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