Built a Tool to Automate Tedious Tasks with AI, Without Coding

Hacker News

Hey, Lorenzo here, Started to work on this side-project for a week or so, I’m curious what y’all think! Coflow connects AI to your current platforms and automates any repetitive/manual task without coding. How it works: - Specify the trigger/input the AI should expect - Tell the AI what to do - Specify where to send/store the output - Deploy and let it run Would love your feedback :) Early access: https://www.joincoflow.com/

Visit product View on Hacker NewsSep 29, 2023

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

86%86% 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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% 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 · Missing: mobile apps, ios, personal

37%37% 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

37%37% 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

15%15% 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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