Nalij
Indie HackersListen to any blog post or articles from any website
I far prefer listening articles than reading them. However there isn't an app that uses high quality Text-to-speech for article narration. So I decided to make one.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos71%71% 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, podcasting62%62% predicted probability of success on Indie Hackers, 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, intuitive48%48% 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 released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal25%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: arr · Missing: mrr, revenue, profit21%21% 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, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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BetaListOu
Our very first blog post54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our very first blog post
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I wrote a blog post about the Two's Complement56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote a blog post about the Two's Complement
Hacker News12Le
Leverage Falcon 7B blog post49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Leverage Falcon 7B blog post
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My First Blog Post54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My First Blog Post
Hacker News2egalblogs12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
blog post
Indie HackersArticulu30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Listen to articles from the web.
Indie Hackers1$110/moaiLi
Listen to articles as dialogues, storytelling, daily recaps (AI)21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Listen to articles as dialogues, storytelling, daily recaps (AI)
Hacker News1Sl
Slashblog – A Blog for Your Website51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slashblog – A Blog for Your Website
Hacker News3Sl
Slashblog – A Blog for Your Website51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slashblog – A Blog for Your Website
Hacker News2