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rtrvr.ai/exchange – World's First Agentic Workflow Exchange

Hacker News

rtrvr.ai/exchange – World's First Agentic Workflow Exchange

We initially launched rtrvr.ai: an AI Web Agent Chrome Extension that can autonomously complete tasks, scrape data to Sheets and call API's as you browse Chrome with just prompts! We showcased out AI Agent: - Researching and Trading Stocks: https://www.youtube.com/watch?v=1glo1GuojeM - Automating LinkedIn Outbound: https://www.youtube.com/watch?v=Ct__f-fLS8A - Uploading to a CRM Database via AI Function Calling: https://www.youtube.com/watch?v=JLJoJFbuwB0 - Bulk Applying to Jobs in Background Tabs: https://www.youtube.com/watch?v=jl5QzFpf1xg We are now releasing the world's first Agentic Workflow Exchange for users to share and import Tasks, Functions, Recordings, and Retrieved Datasets! We hope to create a marketplace for creators to construct and monetize workflows, and consumers to discover automations and immediately run them on their browser to save time and effort! Check out this demo of importing the above Bulk Applying to Jobs demo and re-executing: https://youtu.be/SuURHtEip-0 Check us out on Product Hunt for more info! https://www.producthunt.com/posts/rtrvr-ai-exchange

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Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, agentic, user · Missing: mac, agents, macos
76%76% 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 · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, 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
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, trading · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
30%30% 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
20%20% 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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