Instorier – A tool for creating rich scroll-based stories for your site

Hacker News

Hey HN! After 2 years of bootstrapping, we're excited to introduce you to Instorier, a new digital storytelling platform that helps businesses and agencies craft compelling stories using a variety of modules like powerful imagery, videos, maps, and even fully customizable 3D scenes with seamless transitions and motion that sync to the user's scroll position. Our editor allows users to create stories without any web development or coding experience, making it a flexible option for companies looking to tell engaging stories online, whether it's for in-depth feature articles, digital exhibitions, or a company's "About us" page. We created Instorier because we saw a frequent demand for high-quality and advanced storytelling sites in our own agency work, but budgets were often a limiting factor for the client's vision. Our subscription-based pricing model has two tiers: Professional for companies looking to enhance their own storytelling, and Agency for agencies working with customers that have these needs. Early bird pricing is available for both tiers until the end of January. We're looking forward to hearing your feedback on Instorier and any suggestions for how we can improve the platform. Our current roadmap includes things like improving accessibility, making sure stories can render in reader mode and/or without JS enabled, and continuously improving the editor experience. Happy to share details on the stack if anyone’s curious! Thanks for checking out Instorier! Founders & Devs, Bjørn and Daniel

Visit product View on Hacker NewsJan 7, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

97%97% 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: model, user, new · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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: excited, ide, io · Missing: https docs, just released, exist

39%39% 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: video, users · Missing: mobile apps, ios, personal

25%25% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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