Fastest AI Web Agent [4x faster than Operator]

Hacker News

We previously launched rtrvr.ai on HN but wanted to highlight rtrvr.ai's unique take on AI Web Agents: - A Chrome Extension, so you can use it directly as you browse - Super fast at 4x the speed of Operator - Dirt cheap at $0.002/page interaction. 50 free credits and $9.99/mo for now but long term we think we can offer it for free! - Can act across multiple tabs so you ask questions across 10 docs or do research on those tabs - Tight integration with Google Sheets to parallelize your tasks/scraping - AI Function Calling to call API's as you browse with just prompts

Visit product View on Hacker NewsFeb 25, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, google · Missing: mac, macos, cursor

93%93% 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: para · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% 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

33%33% predicted probability of success on AppSumo, 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

32%32% 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

24%24% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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