Write X threads, LinkedIn & Instagram carousels in one go!

Hacker News

Write X threads, LinkedIn & Instagram carousels in one go! Typeway is an all-in-one social media writing, repurposing and scheduling tool. It's currently in beta, and you can try out the early stage of AI LinkedIn carousel/X thread generation right now (you'll have a 50 request limit - but honestly just message me if you want more). Looking for feedback, especially on pricing. I really wanted to make a product that was a one-time purchase, since that's what I enjoy buying myself (well, more than another subscription). But honestly, there's a long way to go with all the features I'd like to build, looking forward to hearing some thoughts. - Write once, publish everywhere.

Visit product View on Hacker NewsDec 13, 2024

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

84%84% 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 · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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.

Correct prediction on native model

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