GPT-style Product analytics for your SaaS customers

Hacker News

Hey everyone, Launching Neuralmind.io, the AI powered Product Analytics tool for your SaaS customers. Embed Neuralmind.io into your Software and help your customers query their data in English! Key Features: 1. Highlight key Product Insights important to your customers. 2. Analytics presented in tables and charts. 3. Data specific to customer's account. 4. Go live in a week. Check out the live demo here(no signup needed): https://neuralmind.io/#live-demo Bonus: You can also offer AI powered analytics as an add on and unlock a new revenue engine for your business! More: https://neuralmind.io/#roi-calculator Feel free to add a comment or reach out directly through our website. We would love to help you get started.

Visit product View on Hacker NewsSep 25, 2023

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

72%72% 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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · 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.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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