Sticky Studio – A collaborative canvas for untangling complexity

Hacker News

We built Sticky Studio to emphasize simplicity and ease of use so you can grapple with complex challenges without your tools getting in the way. Add stickies, images, shapes and text and draw connections between any content on your board. Connections are just as (or more) important than individual stickies yet many tools get this backward. Here’s some of the core features we've implemented so far: - Invite-only boards - Integrated audio huddles - Comments everywhere - Sticker / emoji style voting - Templates for easy re-use - Shapes for organizing content - Multiple font options - Support for exporting to Kumu Check out our launch and intro video on Product Hunt ( https://www.producthunt.com/posts/sticky-studio-plus ) and read more about some of the design principles guiding our development on our blog ( https://blog.kumu.io/introducing-sticky-studio-ed6e80c5a71d ).

Visit product View on Hacker NewsOct 26, 2023

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2points

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Launch Intel predictions

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

66%66% 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

65%65% predicted probability of success on Indie Hackers, 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

58%58% 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 · Strong signals: video, way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% 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

25%25% 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.

Incorrect prediction on native model

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