ThreadQuilt: Search and Summarize Threads

Hacker News

We're excited to re-introduce ThreadQuilt, a community discussion aggregator that brings together threads from various online forums and platforms. Whether you're interested in the latest technology trends, programming discussions, or emerging topics, ThreadQuilt helps you find the most relevant conversations in one place. With ThreadQuilt, you can discover insights, stay updated, and join the conversation effortlessly. What's New: We've now integrated AI to generate concise summaries of discussions, making it even easier to get the gist of lengthy threads quickly. Unlike other platforms, ThreadQuilt leverages AI to enhance your experience without overwhelming you. Our AI-powered summaries provide a brief overview, saving you time and helping you decide which discussions are worth diving into. Check it out and see how ThreadQuilt can streamline your search for valuable conversations.

Visit product View on Hacker NewsJun 19, 2024

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

52%52% 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: new · Missing: mac, agents, macos

50%50% 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

46%46% 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

42%42% 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, lua, ide · Missing: https docs, just released, exist

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.

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

8%8% 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.

Correct prediction on native model

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