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Co-Present – multiple users can control the same Google Slides deck

Hacker News

Co-Present – multiple users can control the same Google Slides deck

If you ever pitched to an investor with your co-founder online, you probably had to ask the main presenter (or been asked) to move to the next slide. Unfortunately, this can create distractions and the pitch becomes less smooth. To solve this problem I’ve created a Chrome Extension that gives additional presenters remote access to the same Google Slides deck. ⬇ If you’d like to try it out in your next pitch you can download the extension for the Chrome Web Store: https://chrome.google.com/webstore/detail/co-present/bbfdjjk... I’d be forever grateful for any feedback. Thanks so much!

Visit productView on Hacker NewsNov 14, 2023
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
71%71% 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: google, user · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, users · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
41%41% 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.
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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