Sequel – Effortlessly understand your data

Hacker News

Hey, I'm a solo developer building Sequel as a side project. I'm excited to finally launch Sequel! Sequel is an AI tool that will transform how your team interacts with data. Sequel helps you translate natural language queries to SQL and helps you analyse the result just like a data analyst, without even writing a single line of SQL query. What you can do with Sequel? Chat with your databse: Connect your database and ask questions to get results. Generate Graphs and Charts: Ask sequel to give you charts and you will get beautiful visualizations. Analyse your data: Sequel's AI helps you understand and uncover hidden insights from your data. Setup New Database: If you are setting up a new databse, just describe your schema to Sequel and Sequel will create all the tables and columns for you! Would love to see how your team uses Sequel. Looking forward for your feedback and suggestions!

Visit product View on Hacker NewsSep 24, 2024

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

91%91% 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

59%59% 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: excited, ide, io · Missing: https docs, just released, exist

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 · Missing: mobile apps, ios, personal

45%45% 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

24%24% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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