Presentations for your webcam, not a projector

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CueCam Presenter is my Mac app (actually a suite of Mac and iOS apps) to run better presentations on your webcam. Editing cards should feel natural to anybody used to Markdown. I came to create CueCam as an "embedded entrepreneur". I had some success with my camera app "Shoot Pro Webcam" back in 2020 and built on this by creating squares.tv. As I talked to more and more users, I discovered more opportunities to make their lives easier. I started with features in Shoot (camera options, pausing, drawing etc..).. Then I created Video Pencil (which connects to your computer and lets you draw on your webcam using your iPad). Then I created "Beat Sheet" which lets you run through "smart scripts", controlling Ecamm Live, OBS and mimoLive. CueCam Presenter is how I'm connecting all these elements. It gives you a virtual webcam, virtual mic, and seamlessly connects to Shoot and Video Pencil running on other devices. There are various ways you can use it as a teleprompter while maintaining eye contact. It's taken a lot to get it to this stage. The video pipeline has been through two major iterations and the audio pipeline even more. The UI has evolved and developed to cover the different ways it is understood by different people. Educational discounts are a must for me, as I want to help improve the quality of remote teaching around the world. For other professionals, I believe it transforms the way you interact with people on video calls. It's useful for recording software demos and running live streams.

Visit product View on Hacker NewsFeb 9, 2024

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

97%97% 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: mac, apps, user · Missing: agents, macos, agent

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, video · Missing: mobile apps, personal, entrepreneurs

73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: users, calls · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio, smart · 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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