A Website for the 'Ultimate Meal Planner' Airtable

Hacker News

Hi I want to share a website that I generated from the 'Ultimate Meal Planner' airtable. Site: https://recipes.listws.app/ Airtable base: https://airtable.com/universe/expf1Eqp1BC0kvs86/ultimate-meal-planner?explore=true I am using an airtable site builder that I am working on https://table.listws.com If you have an airtable that you want to convert into a website let me know, I am continuously doing site like this from an airtable. Please let me know any feedback, thank you!

Visit product View on Hacker NewsJul 10, 2021

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61%61% 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.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

46%46% 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 · Strong signals: builder · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% predicted probability of success on Product Hunt, 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 · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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