A (free) no-code intelligent decision-making automation app

Hacker News

Hello, Hacker News community! My name’s Ben Taylor and I’m the CTO of the British SaaS startup Rainbird, which I co-founded in 2013. I’m really excited to share with you Rainbird Community, which lets you freely access our decision automation platform (as well as our AI and automation-focussed discussion forum). Rainbird is a no-code intelligent automation platform that makes your daily, work life simpler and more rewarding by automating decisions that, right now, you probably think are impossible to automate. We think everyone should have access to that power. You can try out the platform for yourself by joining Rainbird Community: https://community.rainbird.ai/ Feel free to ask me any questions you have in the comments section below!

Visit product View on Hacker NewsJun 30, 2021

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Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, code · Missing: mac, agents, macos

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

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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