Zenfetch – Chrome extension to turn links into an AI knowledge base

Hacker News

Hi HN, Today we’re launching a Zenfetch ( https://zenfetch.com ) a chrome extension to allow people to curate links and turn them into an AI-powered personal knowledge assistant. Why we built this: - We spent a ton of time reading (or writing) content but felt like most of it was going in one ear and out the other. - We never revisited our bookmarks or notes, even though there was relevant information there. - Most save-for-later tools were good at saving but not at resurfacing. How it works: 1. Click the Zenfetch icon in a tab to save any PDF, YouTube video, article, email, forum post, and more. 2. Zenfetch retrieves the text or transcript content from the browser tab and indexes that information in the cloud. 3. Use the dashboard or side panel in chrome to search or chat with your knowledge base. Unlike most save-for-later tools, Zenfetch doesn't just store your links. It uses GPT-4 to interact with your saved content, answering questions, generating fresh content, brainstorming ideas, and finding patterns. For instance, Zenfetch helped draft this very post based on some articles we’ve read for HN launches. Zenfetch offers a 2-week trial to get started and then converts to $14.99/month. Our vision is to build a proactive knowledge assistant that provides the perfect context at the right time. We’re just getting started and would love to hear your feedback!

Visit product View on Hacker NewsDec 3, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, context, notes · Missing: mac, agents, macos

90%90% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, video, month · Missing: mobile apps, ios, entrepreneurs

54%54% predicted probability of success on TrustMRR, 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 released

48%48% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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