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ThreadQuilt: AI-Free Thread Aggregator

Hacker News

ThreadQuilt: AI-Free Thread Aggregator

Hey HN, I've been working on a project called ThreadQuilt, and I'm excited to share it with you all. ThreadQuilt is a community discussion aggregator that brings together the best threads from various forums and platforms into one convenient place. Whether you're interested in programming, tech trends, or just want to stay updated on niche topics, ThreadQuilt helps you find and follow the most relevant conversations without the clutter of AI-generated content. It's all about real human discussions, curated for quality and relevance. I built ThreadQuilt because I was tired of wading through endless noise to find meaningful discussions. With ThreadQuilt, you get a cleaner, more focused experience that highlights the best parts of the web's conversations. Check it out and let me know what you think! Your feedback would mean the world to me as I continue to improve and expand the site. Happy threading!

Visit product View on Hacker NewsJun 17, 2024

Actual performance

59points

18comments

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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

11%11% 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.

Correct prediction on native model

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