Slidekick – business-grade slides generation

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Hey HN! We started Perceptis a little over a year ago to bring the tide of generative AI into the consulting industry. At first, we focused solely on one use case: delivering professional-grade business proposals. The interaction was pretty simple: write a simple, email-like prompt about the proposal you want to request + attach any supplemental documents, and in <24 hours, you will get a polished, beautiful, 20-30 page (depending on request) deck according to the best consulting practices (also checked by our team for hallucinations and any other issues). However, we kept hearing that our customers wanted to create slides instantly and go beyond proposals: presentations for the board of directors, team showcase, quick investor updates, QBRs, technical diagrams, etc. These presentations also need to follow their corporate branding, be fully editable, support PPTX-native charts, etc. Recently, we launched Slidekick: our self-serve slide generation tool. You can describe your request in a single prompt and get a premium-grade slide in around 3 mins. We want to provide slides that are truly professional and don't look like websites :) Slides you can truly share with your colleague in a real work scenario. Give it a try: https://app.perceptis.ai . Would be happy to hear any feedback & thoughts! There is more to come and more to build! upd1: here are examples of slides you can generate: https://www.linkedin.com/posts/perceptis-ai_perceptis-slide-... , https://www.linkedin.com/posts/perceptis-ai_ai-productivity-... -- Yers, Perceptis co-founder

Visit product View on Hacker NewsJan 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, single, presentations · Missing: mac, agents, macos

85%85% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% 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

19%19% 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.

Incorrect prediction on native model

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