CxO Industries

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CxO Industries

This is the MVP of a web app I made to help founders start successful companies. The idea is to provide tools to assist founders, such as: - Business model development - Recommendations based on your current business context and your own role in it - Add recommendations as tasks There are more features in the works too, such as automated answering of common questions. I also want to add far more recommendations than are currently available. The tech stack is: - Flutter (front-end) - Nim (back-end) - PostgreSQL (DB) The web app's UI is actually written on the back-end in Nim, and rendered by Flutter. You can only launch the app once you've logged in. I'm planning to make this tech available as Open Source, and you can join a wait-list if interested: https://nexusdev.tools/ Feedback on CxO Industries, but also the tech behind it, is welcome.

Visit product View on Hacker NewsMar 12, 2022

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

71%71% 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

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

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

52%52% 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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

14%14% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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