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Read stories 10x faster with your AI reading assistant

Hacker News

Read stories 10x faster with your AI reading assistant

Hi Hacker News. I am currently building [storywiz.io]( http://storywiz.io ) ( https://www.storywiz.io/ ), an AI reading assistant which makes online reading more productive and fun. I, like many of you here, do a lot of online reading. In a typical month, I read hundreds of articles and stories related to my work and personal interests. Every time I land on a website to read a story, I realize how poor today’s online reading experience has become. Stories and articles look almost exactly how they used to look decades ago and the reading experience of most sites continues to degrade. Hundreds of people I talked to in my personal and professional circle who do a lot of online reading, shared the same set of pain points they have to deal with every day: >> Bombarded with 10,000 ads, popups, trackers, and poor website experience while trying to focus on reading the story >> Never be able to finish the long-form text articles and end up losing information, insights, and time in the process >> Facing the same old story format with lots of texts and getting bored through the reading process, especially young readers >> Always looking for ways to improve reading productivity to keep up with the rising pace of information in their work and personal domains The idea of Storywiz came from these pain points and the goal is to not only help online readers save time but also build a truly enjoyable reading experience with the help of AI. Last couple of months I have been working on building Storywiz as solo developer/designer and I am excited to bring it to you. If you do a lot of online reading, here’s what Storywiz can do for yo: >> Generate stunning and fun-to-read visual stories from text articles with over thousand unique designs >> Show bite-size summary cards from the story generated by AI to pick key information and concepts faster >> Save valuable time on every story by absorbing information quickly and more effectively while you read online >> With the help of the Chrome Extension and iPhone shortcut, use Storywiz anywhere you read without any extra hassle Storywiz uses generative AI and language models to create snackable visual story and high quality summary from any text articles. The process takes about 15-20 seconds but it saves several minutes of time on every story you read. With the Chrome extension, you can use Storywiz on all your subscription sites as well. It particularly shines well with longer text articles. My goal with Storywiz is to make online reading more productive and fun. Please share your thoughts, comments, and feedback. Web App: https://www.storywiz.io/ Chrome Extension: https://chrome.google.com/webstore/detail/storywiz-ai-readin... iPhone Shortcut: https://www.storywiz.io/ios

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
94%94% 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, google, new · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, hacker news · Missing: https docs, just released, exist
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, month · Missing: mobile apps, entrepreneurs, apps
33%33% 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
14%14% 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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