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Create screen recordings with ease on Windows

Hacker News

Create screen recordings with ease on Windows

Hey everyone, Last year, we found an awesome screen recording app, but it was only for Mac. Most of our team uses Windows, so we couldn't create the polished, professional recordings we wanted. We decided to build a new screen recording app for Windows to simplify the process of making videos for online publishing. Our app, Canvid, includes features like mouse tracking and smoothing, automatic zooms, transcripts, captions, and visual enhancements like backgrounds and shadows. Canvid is built with Electron (with custom patches) to leverage web technologies and minimize the need for extra system maintenance. Our biggest challenge was crafting a great user experience primarily using web and Electron technologies. Technologies like WebCodec, WebAudio API, and insertable streams were incredibly helpful, but ultimately, we had to patch Electron/Chromium and add several native modules to replace or enhance functionalities that weren't available in Electron. Another tough aspect was our captioning system. We use Whisper for transcripts but ultimately want users to be able to edit their video while navigating the transcript. We're still working on getting precise, word/token level timestamps, but we're making progress. We're proud of what we've achieved with Canvid and would love to hear your thoughts or feedback if you've tried it out. Happy to answer any questions!

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, new · Missing: agents, macos, agent
95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, users · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, 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
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
42%42% 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
13%13% 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 · 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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