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An LLM-powered presentation copilot for Google Slides

Hacker News

An LLM-powered presentation copilot for Google Slides

Hi hackers! My friend and I built Deckster, an LLM-powered presentation copilot for Google Slides. It’s raw, but it works, and I’d love your feedback! How it works: First, tell Deckster about your audience and goals, and it will set up a structure for you. After, Deckster will guide you through each slide, helping you craft and personalize your content. In the end, you’ll receive personalized tips on how to present. Eventually, you'll have a clear, ready-to-use draft with all your content in place. Why we built it: A while ago, I realized: 1. Presentations, done right, can help you achieve goals; 2. Presentations have an undeserved bad rep; 3. Presentations have been around forever, and they’re not going anywhere. My point is that presentations are not inherently bad; it's just a tool to communicate our ideas. The problem is, we’re still making presentations like 30 years ago, focusing on form, not on content. Making a presentation that will "hit your goals" is another level, it isn’t about adding fancy animations or using memes - it often takes years of experience in design, the art of communication, and psychology. We believe Deckster will help up the quality of presentations while handling the mechanistic and time-consuming slide-building process in the background. Current limitations: - Currently, Decskteronly generates text-based presentations. But we will add soon few more layers (layers for narrative and visuals, embeddings for expanded context, and more stuff) - Only 1 use case - Corporate pitch. Next, we plan to add reporting, education, sales pitch, and more. - Only works in English, in the future, it'll support more languages. I love Deckster and think it's pretty cool because it really does save a lot of time and secondly because it gives you huge leverage by expanding your communication and psychology knowledge so needed for great decks. But hey, I need to hear your opinion. - Are presentations something that you consider a great tool, or nah? - How often do you work with presentations? - What are the biggest pain points? - What would you like such a tool to solve for you?

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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: google, context, visual · Missing: mac, agents, macos
96%96% 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
89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
52%52% 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
49%49% 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: personal, google, education · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
10%10% 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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