A Personal NotebookLM and Perplexity-Like AI Assistant with Privacy

Hacker News

While tools like NotebookLM and Perplexity are impressive and highly effective for conducting research on any topic, imagine having both at your disposal with complete privacy control. That's exactly what SurfSense offers. With SurfSense, you can create your own knowledge base for research, similar to NotebookLM, or easily research the web just like Perplexity. SurfSense also includes an effective cross-browser extension to directly save dynamic content bookmarks, such as social media chats, calendar invites, important emails, tutorials, recipes, and more to your SurfSense knowledge base. Now, you’ll never forget anything and can easily research everything.

Visit product View on Hacker NewsNov 25, 2024

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

89%89% 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.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% 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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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