Dorsia, automatic analytics using Google Sheet

Hacker News

Hello there, We are the creators of Dorsia, a solution that aims to replace datalayer implementation on the client with an easier, more performant and privacy-wise solution that would allow marketers to leverage tools they already know instead of filing JIRA tickets for tracking additions to the existing client side data layer. This is still an early beta but we have a live functional demo (read only for now, need to setup authent, stripe, etc..) so feel free to play with it and to let us know what you think :)

Visit product View on Hacker NewsMar 11, 2023

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

73%73% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% 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: exist, existing, ide · Missing: https docs, excited, just released

41%41% 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: google · Missing: mobile apps, ios, personal

40%40% 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

36%36% 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

14%14% 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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