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Speak to your phone to query a database

Hacker News

Speak to your phone to query a database

Hi everyone, Zing Data ( https://zingdata.com ) is an ios[1], android[2] and web app[3] that allows you to query any database with natural language. We use OpenAI's GPT-3 model to generate SQL queries that run against your Databricks, RedShift, mySQL, Snowflake, postgres, Starburst, Trino, Presto db clusters or Google Sheets and auto-visualizes the result. Check out a howto guide here --> https://getzingdata.com/blog/natural-language-querying-with-... [1]: https://apps.apple.com/us/app/zing-data-sql-client-dash/id15... [2]: https://play.google.com/store/apps/details?id=com.getzingdat... [3]: https://console.getzingdata.com/signup

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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: model, apple, google · Missing: mac, agents, macos
69%69% 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: ios · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
54%54% 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
30%30% 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
25%25% 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.

Incorrect prediction on native model

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