Nextbi.ai – NLP to SQL data querry for SMEs

Hacker News

Hi HN, Jiaxing here, Co-founder of NextBi.Ai , A platform for non-tech user to querry data from their database by using natural language. A 1 min Youtube Video on the front page of https://nextbi.ai/ would give a quick demo of how it works. To give the platform a shot, anyone can login with Google account and try with the pre-connected sample MSSQL database Adventureworks2019. We are going to help Medium and Small businesses who normally do not have a data analyst to quickly get the data wanted and make informative decisions for their daily operation. The reason we choose SME is mainly because the unstructured and complex database in production environment of large enterprise make it more difficult to get accurate querry result. We take data privacy into consideration at the begining. Only metadata/table description is sent to OpenAI's API connection. Absolutely no specific data is sent to third party. On-premise deployed pre-trained LLM is under development. We’d love your feedback on whether our product fits your needs and any other thoughts on our solution. Thanks so much!

Visit product View on Hacker NewsJun 17, 2023

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

82%82% 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

75%75% 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: ide, io · Missing: https docs, excited, just released

49%49% 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: video, google · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

20%20% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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